Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:39513308

The Risk Genes S1PR5, CMC1, and ASAH1 as Potential Targets for the Diagnosis, Immunotherapy, and Treatment of Colon Adenocarcinoma by Single-Cell and Bulk RNA Sequencing Analysis

Zipeng Xu · Jiantao Gong · Weidong Hu · Chen Ge · Genxi Tong · Fengjun Cai · Zhenghai Zhu · Yihang Yuan · Chaobo Chen

Current medicinal chemistry · 2024 doi:10.2174/0109298673331144241009082052

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:39513308
kind
science-record
content_hash
sha256:f07d66574f57439d4b98c960a872d368bb976ad6595c686912296d832da44584
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:29:46Z
updated_at
2026-11-01T22:13:05Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
The Risk Genes S1PR5, CMC1, and ASAH1 as Potential Targets for the Diagnosis, Immunotherapy, and Treatment of Colon Adenocarcinoma by Single-Cell and Bulk RNA Sequencing Analysis
doi
10.2174/0109298673331144241009082052
pmid
39513308
authors array · 9 items
[0]
Zipeng Xu
[1]
Jiantao Gong
[2]
Weidong Hu
[3]
Chen Ge
[4]
Genxi Tong
[5]
Fengjun Cai
[6]
Zhenghai Zhu
[7]
Yihang Yuan
[8]
Chaobo Chen
journal
Current medicinal chemistry
year
2024
abstract
OBJECTIVE: Globally, one of the main causes of cancer-related mortality is Colon Adenocarcinoma (COAD). In this study, a new special Immune Cell Functions (ICF) risk model was constructed using single-cell and bulk RNA sequencing data to develop a new understanding and clinical applications for COAD. METHODS: The immune function gene sets were downloaded from a literature reference, and the COAD single-cell dataset GSE146771 was downloaded from the Tumour Immune Single Cell Hub database. Using Lasso analysis, a multiple gene signature was made from the enrichment scores of immune function gene sets that were enriched in different ways. Robust validation of the signature was then performed in multiple independent cohorts. After that, we built the model using a 10-fold cross-test and evaluated its independence for clinical usage using a nomogram. We also investigated the connection between signature and immune function, genetic variation, immunotherapy, and the cancer immunological microenvironment. Lastly, we used qPCR and immunohistochemistry to examine the expression of the unreported model genes. To find the regulatory functions of unreported model genes, an EdU assay was employed. RESULTS: First, 20 differentially enriched immune function gene sets were identified. Ten genes can be used as a risk profile to assess the prognosis of colon cancer, according to Lasso regression analysis. Signature performance was stable in both the training cohort and two independent GEO external cohorts, and risk scores were confirmed as independent prognostic factors. At the same time, our risk model continued to be highly predictive across various clinical clusters and clinical characteristics, such as immune checkpoints, tumour genome mutations, and chemotherapeutic drug resistance. Patients in the low-risk group have exhibited a higher chance of benefiting from immunotherapy, according to immunotherapy response research. qPCR and immunohistochemistry analysis have revealed S1PR5 expression as high in COAD tissues, while CMC1 and ASAH1 expression has been found to be low. According to the findings of the functional experiment, S1PR5, CMC1, and ASAH1 may control the ability of CRC cells to proliferate. CONCLUSION: In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the prognosis and effectiveness of immunotherapy in patients with COAD. In addition, we have discovered three model genes (S1PR5, CMC1, and ASAH1) that have not been reported before. These genes have the potential to be novel therapeutic targets in Colorectal Cancer (CRC). These findings suggest that this model could be used to evaluate the prognostic risk and identify potential targets for COAD patient treatment.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
These signatures were identified after removing redundant genes in the training set using Lasso linear regression with a seed value of 1,110.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39513308
locator
sections[26] "Recognition of ICF Signature in the Prognosis of COAD" paragraph 2
quote
These signatures were identified after removing redundant genes in the training set using Lasso linear regression with a seed value of 1,110.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
All data generated or analysed during this study are included in this published article.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39513308
locator
sections[45] "AVAILABILITY OF DATA AND MATERIALS" paragraph 2
quote
All data generated or analysed during this study are included in this published article.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the prognosis and effectiveness of immunotherapy in patients with COAD.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39513308
locator
sections[0] "Abstract" paragraph 4
quote
In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the prognosis and effectiveness of immunotherapy in patients with COAD.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the prognosis and effectiveness of immunotherapy in patients with COAD.
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate from the source
kind
other
state
complete
blocked_on
null
description
The claim, method and evidence span published with the source article.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:39513308
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
complete
blocked_on
null
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE146771
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE146771
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 6 items
[0] object · 15 fields
id
source:pmid:39513308
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.2174/0109298673331144241009082052
sha256
sha256:9701df7d7e351ef36a95f6f47feaade9c64528ff18a53027ca5d0fc378cd3b40
bytes
59916
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.2174/0109298673331144241009082052
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC13555847
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE146771
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE146771
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE146771
version
null
note
All data generated or analysed during this study are included in this published article.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
All data generated or analysed during this study are included in this published article.
access_statement_kind
data_availability_statement
sample_accessions array · 20 items
[0]
GSM4405613
[1]
GSM4405614
[2]
GSM4405615
[3]
GSM4405616
[4]
GSM4405617
[5]
GSM4405618
[6]
GSM4405619
[7]
GSM4405620
[8]
GSM4405621
[9]
GSM4405622
[10]
GSM4405623
[11]
GSM4405624
[12]
GSM4405625
[13]
GSM4405626
[14]
GSM4405627
[15]
GSM4405628
[16]
GSM4405629
[17]
GSM4405630
[18]
GSM4405631
[19]
GSM4405632
sample_count
20
group_sizes
null
group_sizes_basis
null
platform
20301
taxon
Homo sapiens
title
Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted therapies in colon cancer
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE176307
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE176307
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE176307
version
null
note
All data generated or analysed during this study are included in this published article.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
All data generated or analysed during this study are included in this published article.
access_statement_kind
data_availability_statement
sample_accessions array · 90 items
[0]
GSM5362464
[1]
GSM5362465
[2]
GSM5362466
[3]
GSM5362467
[4]
GSM5362468
[5]
GSM5362469
[6]
GSM5362470
[7]
GSM5362471
[8]
GSM5362472
[9]
GSM5362473
[10]
GSM5362474
[11]
GSM5362475
[12]
GSM5362476
[13]
GSM5362477
[14]
GSM5362478
[15]
GSM5362479
[16]
GSM5362480
[17]
GSM5362481
[18]
GSM5362482
[19]
GSM5362483
[20]
GSM5362484
[21]
GSM5362485
[22]
GSM5362486
[23]
GSM5362487
[24]
GSM5362488
[25]
GSM5362489
[26]
GSM5362490
[27]
GSM5362491
[28]
GSM5362492
[29]
GSM5362493
[30]
GSM5362494
[31]
GSM5362495
[32]
GSM5362496
[33]
GSM5362497
[34]
GSM5362498
[35]
GSM5362499
[36]
GSM5362500
[37]
GSM5362501
[38]
GSM5362502
[39]
GSM5362503
[40]
GSM5362504
[41]
GSM5362505
[42]
GSM5362506
[43]
GSM5362507
[44]
GSM5362508
[45]
GSM5362509
[46]
GSM5362510
[47]
GSM5362511
[48]
GSM5362512
[49]
GSM5362513
[50]
GSM5362514
[51]
GSM5362515
[52]
GSM5362516
[53]
GSM5362517
[54]
GSM5362518
[55]
GSM5362519
[56]
GSM5362520
[57]
GSM5362521
[58]
GSM5362522
[59]
GSM5362523
[60]
GSM5362524
[61]
GSM5362525
[62]
GSM5362526
[63]
GSM5362527
[64]
GSM5362528
[65]
GSM5362529
[66]
GSM5362530
[67]
GSM5362531
[68]
GSM5362532
[69]
GSM5362533
[70]
GSM5362534
[71]
GSM5362535
[72]
GSM5362536
[73]
GSM5362537
[74]
GSM5362538
[75]
GSM5362539
[76]
GSM5362540
[77]
GSM5362541
[78]
GSM5362542
[79]
GSM5362543
[80]
GSM5362544
[81]
GSM5362545
[82]
GSM5362546
[83]
GSM5362547
[84]
GSM5362548
[85]
GSM5362549
[86]
GSM5362550
[87]
GSM5362551
[88]
GSM5362552
[89]
GSM5362553
sample_count
90
group_sizes
null
group_sizes_basis
null
platform
24014
taxon
Homo sapiens
title
Fibroblast Growth Factor Receptor 3 Alterations and Response to Immune Checkpoint Inhibition in Metastatic Urothelial Cancer: A Real World Experience
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE29623
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE29623
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE29623
version
null
note
All data generated or analysed during this study are included in this published article.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
All data generated or analysed during this study are included in this published article.
access_statement_kind
data_availability_statement
sample_accessions array · 130 items
[0]
GSM734111
[1]
GSM734112
[2]
GSM734113
[3]
GSM734114
[4]
GSM734115
[5]
GSM734116
[6]
GSM734117
[7]
GSM734118
[8]
GSM734119
[9]
GSM734120
[10]
GSM734121
[11]
GSM734122
[12]
GSM734123
[13]
GSM734124
[14]
GSM734125
[15]
GSM734126
[16]
GSM734127
[17]
GSM734128
[18]
GSM734129
[19]
GSM734130
[20]
GSM734131
[21]
GSM734132
[22]
GSM734133
[23]
GSM734134
[24]
GSM734135
[25]
GSM734136
[26]
GSM734137
[27]
GSM734138
[28]
GSM734139
[29]
GSM734140
[30]
GSM734141
[31]
GSM734142
[32]
GSM734143
[33]
GSM734144
[34]
GSM734145
[35]
GSM734146
[36]
GSM734147
[37]
GSM734148
[38]
GSM734149
[39]
GSM734150
[40]
GSM734151
[41]
GSM734152
[42]
GSM734153
[43]
GSM734154
[44]
GSM734155
[45]
GSM734156
[46]
GSM734157
[47]
GSM734158
[48]
GSM734159
[49]
GSM734160
[50]
GSM734161
[51]
GSM734162
[52]
GSM734163
[53]
GSM734164
[54]
GSM734165
[55]
GSM734166
[56]
GSM734167
[57]
GSM734168
[58]
GSM734169
[59]
GSM734170
[60]
GSM734171
[61]
GSM734172
[62]
GSM734173
[63]
GSM734174
[64]
GSM734175
[65]
GSM734176
[66]
GSM734177
[67]
GSM734178
[68]
GSM734179
[69]
GSM734180
[70]
GSM734181
[71]
GSM734182
[72]
GSM734183
[73]
GSM734184
[74]
GSM734185
[75]
GSM734186
[76]
GSM734187
[77]
GSM734188
[78]
GSM734189
[79]
GSM734190
[80]
GSM734191
[81]
GSM734192
[82]
GSM734193
[83]
GSM734194
[84]
GSM734195
[85]
GSM734196
[86]
GSM734197
[87]
GSM734198
[88]
GSM734199
[89]
GSM734200
[90]
GSM734201
[91]
GSM734202
[92]
GSM734203
[93]
GSM734204
[94]
GSM734205
[95]
GSM734206
[96]
GSM734207
[97]
GSM734208
[98]
GSM734209
[99]
GSM734210
[100]
GSM734211
[101]
GSM734212
[102]
GSM734213
[103]
GSM734214
[104]
GSM734215
[105]
GSM734216
[106]
GSM734217
[107]
GSM734218
[108]
GSM734219
[109]
GSM734220
[110]
GSM734221
[111]
GSM734222
[112]
GSM734223
[113]
GSM734224
[114]
GSM734225
[115]
GSM734226
[116]
GSM734227
[117]
GSM734228
[118]
GSM734229
[119]
GSM734230
[120]
GSM734231
[121]
GSM734232
[122]
GSM734233
[123]
GSM734234
[124]
GSM734235
[125]
GSM734236
[126]
GSM734237
[127]
GSM734238
[128]
GSM734239
[129]
GSM734240
sample_count
130
group_sizes
null
group_sizes_basis
null
platform
570;11162
taxon
Homo sapiens
title
mRNA and microRNA profile in colon cancer
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE39582
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE39582
version
null
note
All data generated or analysed during this study are included in this published article.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
All data generated or analysed during this study are included in this published article.
access_statement_kind
data_availability_statement
sample_accessions array · 585 items
[0]
GSM1681353
[1]
GSM1681354
[2]
GSM1681355
[3]
GSM1681356
[4]
GSM1681357
[5]
GSM1681358
[6]
GSM1681359
[7]
GSM1681360
[8]
GSM1681361
[9]
GSM1681362
[10]
GSM1681363
[11]
GSM1681364
[12]
GSM1681365
[13]
GSM1681366
[14]
GSM1681367
[15]
GSM1681368
[16]
GSM1681369
[17]
GSM1681370
[18]
GSM1681371
[19]
GSM971957
[20]
GSM971958
[21]
GSM971959
[22]
GSM971960
[23]
GSM971961
[24]
GSM971962
[25]
GSM971963
[26]
GSM971964
[27]
GSM971965
[28]
GSM971966
[29]
GSM971967
[30]
GSM971968
[31]
GSM971969
[32]
GSM971970
[33]
GSM971971
[34]
GSM971972
[35]
GSM971973
[36]
GSM971974
[37]
GSM971975
[38]
GSM971976
[39]
GSM971977
[40]
GSM971978
[41]
GSM971979
[42]
GSM971980
[43]
GSM971981
[44]
GSM971982
[45]
GSM971983
[46]
GSM971984
[47]
GSM971985
[48]
GSM971986
[49]
GSM971987
[50]
GSM971988
[51]
GSM971989
[52]
GSM971990
[53]
GSM971991
[54]
GSM971992
[55]
GSM971993
[56]
GSM971994
[57]
GSM971995
[58]
GSM971996
[59]
GSM971997
[60]
GSM971998
[61]
GSM971999
[62]
GSM972000
[63]
GSM972001
[64]
GSM972002
[65]
GSM972003
[66]
GSM972004
[67]
GSM972005
[68]
GSM972006
[69]
GSM972007
[70]
GSM972008
[71]
GSM972009
[72]
GSM972010
[73]
GSM972011
[74]
GSM972012
[75]
GSM972013
[76]
GSM972014
[77]
GSM972015
[78]
GSM972016
[79]
GSM972017
[80]
GSM972018
[81]
GSM972019
[82]
GSM972020
[83]
GSM972021
[84]
GSM972022
[85]
GSM972023
[86]
GSM972024
[87]
GSM972025
[88]
GSM972026
[89]
GSM972027
[90]
GSM972028
[91]
GSM972029
[92]
GSM972030
[93]
GSM972031
[94]
GSM972032
[95]
GSM972033
[96]
GSM972034
[97]
GSM972035
[98]
GSM972036
[99]
GSM972037
[100]
GSM972038
[101]
GSM972039
[102]
GSM972040
[103]
GSM972041
[104]
GSM972042
[105]
GSM972043
[106]
GSM972044
[107]
GSM972045
[108]
GSM972046
[109]
GSM972047
[110]
GSM972048
[111]
GSM972049
[112]
GSM972050
[113]
GSM972051
[114]
GSM972052
[115]
GSM972053
[116]
GSM972054
[117]
GSM972055
[118]
GSM972056
[119]
GSM972057
[120]
GSM972058
[121]
GSM972059
[122]
GSM972060
[123]
GSM972061
[124]
GSM972062
[125]
GSM972063
[126]
GSM972064
[127]
GSM972065
[128]
GSM972066
[129]
GSM972067
[130]
GSM972068
[131]
GSM972069
[132]
GSM972070
[133]
GSM972071
[134]
GSM972072
[135]
GSM972073
[136]
GSM972074
[137]
GSM972075
[138]
GSM972076
[139]
GSM972077
[140]
GSM972078
[141]
GSM972079
[142]
GSM972080
[143]
GSM972081
[144]
GSM972082
[145]
GSM972083
[146]
GSM972084
[147]
GSM972085
[148]
GSM972086
[149]
GSM972087
[150]
GSM972088
[151]
GSM972089
[152]
GSM972090
[153]
GSM972091
[154]
GSM972092
[155]
GSM972093
[156]
GSM972094
[157]
GSM972095
[158]
GSM972096
[159]
GSM972097
[160]
GSM972098
[161]
GSM972099
[162]
GSM972100
[163]
GSM972101
[164]
GSM972102
[165]
GSM972103
[166]
GSM972104
[167]
GSM972105
[168]
GSM972106
[169]
GSM972107
[170]
GSM972108
[171]
GSM972109
[172]
GSM972110
[173]
GSM972111
[174]
GSM972112
[175]
GSM972113
[176]
GSM972114
[177]
GSM972115
[178]
GSM972116
[179]
GSM972117
[180]
GSM972118
[181]
GSM972119
[182]
GSM972120
[183]
GSM972121
[184]
GSM972122
[185]
GSM972123
[186]
GSM972124
[187]
GSM972125
[188]
GSM972126
[189]
GSM972127
[190]
GSM972128
[191]
GSM972129
[192]
GSM972130
[193]
GSM972131
[194]
GSM972132
[195]
GSM972133
[196]
GSM972134
[197]
GSM972135
[198]
GSM972136
[199]
GSM972137
[200]
GSM972138
[201]
GSM972139
[202]
GSM972140
[203]
GSM972141
[204]
GSM972142
[205]
GSM972143
[206]
GSM972144
[207]
GSM972145
[208]
GSM972146
[209]
GSM972147
[210]
GSM972148
[211]
GSM972149
[212]
GSM972150
[213]
GSM972151
[214]
GSM972152
[215]
GSM972153
[216]
GSM972154
[217]
GSM972155
[218]
GSM972156
[219]
GSM972157
[220]
GSM972158
[221]
GSM972159
[222]
GSM972160
[223]
GSM972161
[224]
GSM972162
[225]
GSM972163
[226]
GSM972164
[227]
GSM972165
[228]
GSM972166
[229]
GSM972167
[230]
GSM972168
[231]
GSM972169
[232]
GSM972170
[233]
GSM972171
[234]
GSM972172
[235]
GSM972173
[236]
GSM972174
[237]
GSM972175
[238]
GSM972176
[239]
GSM972177
[240]
GSM972178
[241]
GSM972179
[242]
GSM972180
[243]
GSM972181
[244]
GSM972182
[245]
GSM972183
[246]
GSM972184
[247]
GSM972185
[248]
GSM972186
[249]
GSM972187
[250]
GSM972188
[251]
GSM972189
[252]
GSM972190
[253]
GSM972191
[254]
GSM972192
[255]
GSM972193
[256]
GSM972194
[257]
GSM972195
[258]
GSM972196
[259]
GSM972197
[260]
GSM972198
[261]
GSM972199
[262]
GSM972200
[263]
GSM972201
[264]
GSM972202
[265]
GSM972203
[266]
GSM972204
[267]
GSM972205
[268]
GSM972206
[269]
GSM972207
[270]
GSM972208
[271]
GSM972209
[272]
GSM972210
[273]
GSM972211
[274]
GSM972212
[275]
GSM972213
[276]
GSM972214
[277]
GSM972215
[278]
GSM972216
[279]
GSM972217
[280]
GSM972218
[281]
GSM972219
[282]
GSM972220
[283]
GSM972221
[284]
GSM972222
[285]
GSM972223
[286]
GSM972224
[287]
GSM972225
[288]
GSM972226
[289]
GSM972227
[290]
GSM972228
[291]
GSM972229
[292]
GSM972230
[293]
GSM972231
[294]
GSM972232
[295]
GSM972233
[296]
GSM972234
[297]
GSM972235
[298]
GSM972236
[299]
GSM972237
[300]
GSM972238
[301]
GSM972239
[302]
GSM972240
[303]
GSM972241
[304]
GSM972242
[305]
GSM972243
[306]
GSM972244
[307]
GSM972245
[308]
GSM972246
[309]
GSM972247
[310]
GSM972248
[311]
GSM972249
[312]
GSM972250
[313]
GSM972251
[314]
GSM972252
[315]
GSM972253
[316]
GSM972254
[317]
GSM972255
[318]
GSM972256
[319]
GSM972257
[320]
GSM972258
[321]
GSM972259
[322]
GSM972260
[323]
GSM972261
[324]
GSM972262
[325]
GSM972263
[326]
GSM972264
[327]
GSM972265
[328]
GSM972266
[329]
GSM972267
[330]
GSM972268
[331]
GSM972269
[332]
GSM972270
[333]
GSM972271
[334]
GSM972272
[335]
GSM972273
[336]
GSM972274
[337]
GSM972275
[338]
GSM972276
[339]
GSM972277
[340]
GSM972278
[341]
GSM972279
[342]
GSM972280
[343]
GSM972281
[344]
GSM972282
[345]
GSM972283
[346]
GSM972284
[347]
GSM972285
[348]
GSM972286
[349]
GSM972287
[350]
GSM972288
[351]
GSM972289
[352]
GSM972290
[353]
GSM972291
[354]
GSM972292
[355]
GSM972293
[356]
GSM972294
[357]
GSM972295
[358]
GSM972296
[359]
GSM972297
[360]
GSM972298
[361]
GSM972299
[362]
GSM972300
[363]
GSM972301
[364]
GSM972302
[365]
GSM972303
[366]
GSM972304
[367]
GSM972305
[368]
GSM972306
[369]
GSM972307
[370]
GSM972308
[371]
GSM972309
[372]
GSM972310
[373]
GSM972311
[374]
GSM972312
[375]
GSM972313
[376]
GSM972314
[377]
GSM972315
[378]
GSM972316
[379]
GSM972317
[380]
GSM972318
[381]
GSM972319
[382]
GSM972320
[383]
GSM972321
[384]
GSM972322
[385]
GSM972323
[386]
GSM972324
[387]
GSM972325
[388]
GSM972326
[389]
GSM972327
[390]
GSM972328
[391]
GSM972329
[392]
GSM972330
[393]
GSM972331
[394]
GSM972332
[395]
GSM972333
[396]
GSM972334
[397]
GSM972335
[398]
GSM972336
[399]
GSM972337
[400]
GSM972338
[401]
GSM972339
[402]
GSM972340
[403]
GSM972341
[404]
GSM972342
[405]
GSM972343
[406]
GSM972344
[407]
GSM972345
[408]
GSM972346
[409]
GSM972347
[410]
GSM972348
[411]
GSM972349
[412]
GSM972350
[413]
GSM972351
[414]
GSM972352
[415]
GSM972353
[416]
GSM972354
[417]
GSM972355
[418]
GSM972356
[419]
GSM972357
[420]
GSM972358
[421]
GSM972359
[422]
GSM972360
[423]
GSM972361
[424]
GSM972362
[425]
GSM972363
[426]
GSM972364
[427]
GSM972365
[428]
GSM972366
[429]
GSM972367
[430]
GSM972368
[431]
GSM972369
[432]
GSM972370
[433]
GSM972371
[434]
GSM972372
[435]
GSM972373
[436]
GSM972374
[437]
GSM972375
[438]
GSM972376
[439]
GSM972377
[440]
GSM972378
[441]
GSM972379
[442]
GSM972380
[443]
GSM972381
[444]
GSM972382
[445]
GSM972383
[446]
GSM972384
[447]
GSM972385
[448]
GSM972386
[449]
GSM972387
[450]
GSM972388
[451]
GSM972389
[452]
GSM972390
[453]
GSM972391
[454]
GSM972392
[455]
GSM972393
[456]
GSM972394
[457]
GSM972395
[458]
GSM972396
[459]
GSM972397
[460]
GSM972398
[461]
GSM972399
[462]
GSM972400
[463]
GSM972401
[464]
GSM972402
[465]
GSM972403
[466]
GSM972404
[467]
GSM972405
[468]
GSM972406
[469]
GSM972407
[470]
GSM972408
[471]
GSM972409
[472]
GSM972410
[473]
GSM972411
[474]
GSM972412
[475]
GSM972413
[476]
GSM972414
[477]
GSM972415
[478]
GSM972416
[479]
GSM972417
[480]
GSM972418
[481]
GSM972419
[482]
GSM972420
[483]
GSM972421
[484]
GSM972422
[485]
GSM972423
[486]
GSM972424
[487]
GSM972425
[488]
GSM972426
[489]
GSM972427
[490]
GSM972428
[491]
GSM972429
[492]
GSM972430
[493]
GSM972431
[494]
GSM972432
[495]
GSM972433
[496]
GSM972434
[497]
GSM972435
[498]
GSM972436
[499]
GSM972437
[500]
GSM972438
[501]
GSM972439
[502]
GSM972440
[503]
GSM972441
[504]
GSM972442
[505]
GSM972443
[506]
GSM972444
[507]
GSM972445
[508]
GSM972446
[509]
GSM972447
[510]
GSM972448
[511]
GSM972449
[512]
GSM972450
[513]
GSM972451
[514]
GSM972452
[515]
GSM972453
[516]
GSM972454
[517]
GSM972455
[518]
GSM972456
[519]
GSM972457
[520]
GSM972458
[521]
GSM972459
[522]
GSM972460
[523]
GSM972461
[524]
GSM972462
[525]
GSM972463
[526]
GSM972464
[527]
GSM972465
[528]
GSM972466
[529]
GSM972467
[530]
GSM972468
[531]
GSM972469
[532]
GSM972470
[533]
GSM972471
[534]
GSM972472
[535]
GSM972473
[536]
GSM972474
[537]
GSM972475
[538]
GSM972476
[539]
GSM972477
[540]
GSM972478
[541]
GSM972479
[542]
GSM972480
[543]
GSM972481
[544]
GSM972482
[545]
GSM972483
[546]
GSM972484
[547]
GSM972485
[548]
GSM972486
[549]
GSM972487
[550]
GSM972488
[551]
GSM972489
[552]
GSM972490
[553]
GSM972491
[554]
GSM972492
[555]
GSM972493
[556]
GSM972494
[557]
GSM972495
[558]
GSM972496
[559]
GSM972497
[560]
GSM972498
[561]
GSM972499
[562]
GSM972500
[563]
GSM972501
[564]
GSM972502
[565]
GSM972503
[566]
GSM972504
[567]
GSM972505
[568]
GSM972506
[569]
GSM972507
[570]
GSM972508
[571]
GSM972509
[572]
GSM972510
[573]
GSM972511
[574]
GSM972512
[575]
GSM972513
[576]
GSM972514
[577]
GSM972515
[578]
GSM972516
[579]
GSM972517
[580]
GSM972518
[581]
GSM972519
[582]
GSM972520
[583]
GSM972521
[584]
GSM972522
sample_count
585
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE41258
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE41258
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE41258
version
null
note
All data generated or analysed during this study are included in this published article.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
All data generated or analysed during this study are included in this published article.
access_statement_kind
data_availability_statement
sample_accessions array · 390 items
[0]
GSM1012278
[1]
GSM1012279
[2]
GSM1012280
[3]
GSM1012281
[4]
GSM1012282
[5]
GSM1012283
[6]
GSM1012284
[7]
GSM1012285
[8]
GSM1012286
[9]
GSM1012287
[10]
GSM1012288
[11]
GSM1012289
[12]
GSM1012290
[13]
GSM1012291
[14]
GSM1012292
[15]
GSM1012293
[16]
GSM1012294
[17]
GSM1012295
[18]
GSM1012296
[19]
GSM1012297
[20]
GSM1012298
[21]
GSM1012299
[22]
GSM1012300
[23]
GSM1012301
[24]
GSM1012302
[25]
GSM1012303
[26]
GSM1012304
[27]
GSM1012305
[28]
GSM1012306
[29]
GSM1012307
[30]
GSM1012308
[31]
GSM1012309
[32]
GSM1012310
[33]
GSM1012311
[34]
GSM1012312
[35]
GSM1012313
[36]
GSM1012314
[37]
GSM1012315
[38]
GSM1012316
[39]
GSM1012317
[40]
GSM1012318
[41]
GSM1012319
[42]
GSM1012320
[43]
GSM1012321
[44]
GSM1012322
[45]
GSM1012323
[46]
GSM1012324
[47]
GSM1012325
[48]
GSM1012326
[49]
GSM1012327
[50]
GSM1012328
[51]
GSM1012329
[52]
GSM1012330
[53]
GSM1012331
[54]
GSM1012332
[55]
GSM1012333
[56]
GSM1012334
[57]
GSM1012335
[58]
GSM1012336
[59]
GSM1012337
[60]
GSM1012338
[61]
GSM1012339
[62]
GSM1012340
[63]
GSM1012341
[64]
GSM1012342
[65]
GSM1012343
[66]
GSM1012344
[67]
GSM1012345
[68]
GSM1012346
[69]
GSM1012347
[70]
GSM1012348
[71]
GSM1012349
[72]
GSM1012350
[73]
GSM1012351
[74]
GSM1012352
[75]
GSM1012353
[76]
GSM1012354
[77]
GSM1012355
[78]
GSM1012356
[79]
GSM1012357
[80]
GSM1012358
[81]
GSM1012359
[82]
GSM1012360
[83]
GSM1012361
[84]
GSM1012362
[85]
GSM1012363
[86]
GSM1012364
[87]
GSM1012365
[88]
GSM1012366
[89]
GSM1012367
[90]
GSM1012368
[91]
GSM1012369
[92]
GSM1012370
[93]
GSM1012371
[94]
GSM1012372
[95]
GSM1012373
[96]
GSM1012374
[97]
GSM1012375
[98]
GSM1012376
[99]
GSM1012377
[100]
GSM1012378
[101]
GSM1012379
[102]
GSM1012380
[103]
GSM1012381
[104]
GSM1012382
[105]
GSM1012383
[106]
GSM1012384
[107]
GSM1012385
[108]
GSM1012386
[109]
GSM1012387
[110]
GSM1012388
[111]
GSM1012389
[112]
GSM1012390
[113]
GSM1012391
[114]
GSM1012392
[115]
GSM1012393
[116]
GSM1012394
[117]
GSM1012395
[118]
GSM1012396
[119]
GSM1012397
[120]
GSM1012398
[121]
GSM1012399
[122]
GSM1012400
[123]
GSM1012401
[124]
GSM1012402
[125]
GSM1012403
[126]
GSM1012404
[127]
GSM1012405
[128]
GSM1012406
[129]
GSM1012407
[130]
GSM1012408
[131]
GSM1012409
[132]
GSM1012410
[133]
GSM1012411
[134]
GSM1012412
[135]
GSM1012413
[136]
GSM1012414
[137]
GSM1012415
[138]
GSM1012416
[139]
GSM1012417
[140]
GSM1012418
[141]
GSM1012419
[142]
GSM1012420
[143]
GSM1012421
[144]
GSM1012422
[145]
GSM1012423
[146]
GSM1012424
[147]
GSM1012425
[148]
GSM1012426
[149]
GSM1012427
[150]
GSM1012428
[151]
GSM1012429
[152]
GSM1012430
[153]
GSM1012431
[154]
GSM1012432
[155]
GSM1012433
[156]
GSM1012434
[157]
GSM1012435
[158]
GSM1012436
[159]
GSM1012437
[160]
GSM1012438
[161]
GSM1012439
[162]
GSM1012440
[163]
GSM1012441
[164]
GSM1012442
[165]
GSM1012443
[166]
GSM1012444
[167]
GSM1012445
[168]
GSM1012446
[169]
GSM1012447
[170]
GSM1012448
[171]
GSM1012449
[172]
GSM1012450
[173]
GSM1012451
[174]
GSM1012452
[175]
GSM1012453
[176]
GSM1012454
[177]
GSM1012455
[178]
GSM1012456
[179]
GSM1012457
[180]
GSM1012458
[181]
GSM1012459
[182]
GSM1012460
[183]
GSM1012461
[184]
GSM1012462
[185]
GSM1012463
[186]
GSM1012464
[187]
GSM1012465
[188]
GSM1012466
[189]
GSM1012467
[190]
GSM1012468
[191]
GSM1012469
[192]
GSM1012470
[193]
GSM1012471
[194]
GSM1012472
[195]
GSM1012473
[196]
GSM1012474
[197]
GSM1012475
[198]
GSM1012476
[199]
GSM1012477
[200]
GSM1012478
[201]
GSM1012479
[202]
GSM1012480
[203]
GSM1012481
[204]
GSM1012482
[205]
GSM1012483
[206]
GSM1012484
[207]
GSM1012485
[208]
GSM1012486
[209]
GSM1012487
[210]
GSM1012488
[211]
GSM1012489
[212]
GSM1012490
[213]
GSM1012491
[214]
GSM1012492
[215]
GSM1012493
[216]
GSM1012494
[217]
GSM1012495
[218]
GSM1012496
[219]
GSM1012497
[220]
GSM1012498
[221]
GSM1012499
[222]
GSM1012500
[223]
GSM1012501
[224]
GSM1012502
[225]
GSM1012503
[226]
GSM1012504
[227]
GSM1012505
[228]
GSM1012506
[229]
GSM1012507
[230]
GSM1012508
[231]
GSM1012509
[232]
GSM1012510
[233]
GSM1012511
[234]
GSM1012512
[235]
GSM1012513
[236]
GSM1012514
[237]
GSM1012515
[238]
GSM1012516
[239]
GSM1012517
[240]
GSM1012518
[241]
GSM1012519
[242]
GSM1012520
[243]
GSM1012521
[244]
GSM1012522
[245]
GSM1012523
[246]
GSM1012524
[247]
GSM1012525
[248]
GSM1012526
[249]
GSM1012527
[250]
GSM1012528
[251]
GSM1012529
[252]
GSM1012530
[253]
GSM1012531
[254]
GSM1012532
[255]
GSM1012533
[256]
GSM1012534
[257]
GSM1012535
[258]
GSM1012536
[259]
GSM1012537
[260]
GSM1012538
[261]
GSM1012539
[262]
GSM1012540
[263]
GSM1012541
[264]
GSM1012542
[265]
GSM1012543
[266]
GSM1012544
[267]
GSM1012545
[268]
GSM1012546
[269]
GSM1012547
[270]
GSM1012548
[271]
GSM1012549
[272]
GSM1012550
[273]
GSM1012551
[274]
GSM1012552
[275]
GSM1012553
[276]
GSM1012554
[277]
GSM1012555
[278]
GSM1012556
[279]
GSM1012557
[280]
GSM1012558
[281]
GSM1012559
[282]
GSM1012560
[283]
GSM1012561
[284]
GSM1012562
[285]
GSM1012563
[286]
GSM1012564
[287]
GSM1012565
[288]
GSM1012566
[289]
GSM1012567
[290]
GSM1012568
[291]
GSM1012569
[292]
GSM1012570
[293]
GSM1012571
[294]
GSM1012572
[295]
GSM1012573
[296]
GSM1012574
[297]
GSM1012575
[298]
GSM1012576
[299]
GSM1012577
[300]
GSM1012578
[301]
GSM1012579
[302]
GSM1012580
[303]
GSM1012581
[304]
GSM1012582
[305]
GSM1012583
[306]
GSM1012584
[307]
GSM1012585
[308]
GSM1012586
[309]
GSM1012587
[310]
GSM1012588
[311]
GSM1012589
[312]
GSM1012590
[313]
GSM1012591
[314]
GSM1012592
[315]
GSM1012593
[316]
GSM1012594
[317]
GSM1012595
[318]
GSM1012596
[319]
GSM1012597
[320]
GSM1012598
[321]
GSM1012599
[322]
GSM1012600
[323]
GSM1012601
[324]
GSM1012602
[325]
GSM1012603
[326]
GSM1012604
[327]
GSM1012605
[328]
GSM1012606
[329]
GSM1012607
[330]
GSM1012608
[331]
GSM1012609
[332]
GSM1012610
[333]
GSM1012611
[334]
GSM1012612
[335]
GSM1012613
[336]
GSM1012614
[337]
GSM1012615
[338]
GSM1012616
[339]
GSM1012617
[340]
GSM1012618
[341]
GSM1012619
[342]
GSM1012620
[343]
GSM1012621
[344]
GSM1012622
[345]
GSM1012623
[346]
GSM1012624
[347]
GSM1012625
[348]
GSM1012626
[349]
GSM1012627
[350]
GSM1012628
[351]
GSM1012629
[352]
GSM1012630
[353]
GSM1012631
[354]
GSM1012632
[355]
GSM1012633
[356]
GSM1012634
[357]
GSM1012635
[358]
GSM1012636
[359]
GSM1012637
[360]
GSM1012638
[361]
GSM1012639
[362]
GSM1012640
[363]
GSM1012641
[364]
GSM1012642
[365]
GSM1012643
[366]
GSM1012644
[367]
GSM1012645
[368]
GSM1012646
[369]
GSM1012647
[370]
GSM1012648
[371]
GSM1012649
[372]
GSM1012650
[373]
GSM1012651
[374]
GSM1012652
[375]
GSM1012653
[376]
GSM1012654
[377]
GSM1012655
[378]
GSM1012656
[379]
GSM1012657
[380]
GSM1012658
[381]
GSM1012659
[382]
GSM1012660
[383]
GSM1012661
[384]
GSM1012662
[385]
GSM1012663
[386]
GSM1012664
[387]
GSM1012665
[388]
GSM1012666
[389]
GSM1012667
sample_count
390
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Expression data from colorectal cancer patients
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 10 items
[0]
asset:data:geo:GSE146771 not downloaded
[1]
asset:data:geo:GSE146771 licence not read
[2]
asset:data:geo:GSE176307 not downloaded
[3]
asset:data:geo:GSE176307 licence not read
[4]
asset:data:geo:GSE29623 not downloaded
[5]
asset:data:geo:GSE29623 licence not read
[6]
asset:data:geo:GSE39582 not downloaded
[7]
asset:data:geo:GSE39582 licence not read
[8]
asset:data:geo:GSE41258 not downloaded
[9]
asset:data:geo:GSE41258 licence not read
analysis object · 4 fields
state
partial
methods array · 2 items
[0] object · 10 fields
id
method-1
family
regression_modelling
specific
ols
label
Regression modelling
dsl_operations array · 1 item
[0]
ols_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
1
band
verbatim
quote
These signatures were identified after removing redundant genes in the training set using Lasso linear regression with a seed value of 1,110.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Wilcoxon
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
ols_fit
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ols.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 5 items
[0]
GSE29623
[1]
GSE39582
[2]
GSE41258
[3]
GSE176307
[4]
GSE146771
resolved_accessions array · 5 items
[0]
GSE29623
[1]
GSE39582
[2]
GSE41258
[3]
GSE176307
[4]
GSE146771
statements array · 1 item
[0]
All data generated or analysed during this study are included in this published article.
basis
The paper names GSE29623, GSE39582, GSE41258, GSE176307, GSE146771 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
ols_fit
assets array · 2 items
[0]
source:pmid:39513308
[1]
data:geo:GSE146771
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE146771
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T19:37:52Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
15242
completion_tokens
2036
cached_tokens
256
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:39513308
type
paper
label
pmid:39513308
[1] object · 3 fields
id
source:pmid:39513308
type
manuscript
label
PMID 39513308 full text
[2] object · 3 fields
id
data:geo:GSE146771
type
dataset
label
GEO GSE146771
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:39513308
type
paper
label
pmid:39513308
[1] object · 3 fields
id
source:pmid:39513308
type
manuscript
label
PMID 39513308 full text
[2] object · 3 fields
id
data:geo:GSE146771
type
dataset
label
GEO GSE146771
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-39513308
type
extraction
used array · 1 item
[0]
source:pmid:39513308
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE146771
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE146771
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:39513308
parent_hash
sha256:1acf7a73721d3b7dba2a14b3691411b03fefc9455fd1def214c44aa41be30491
fork_of
null
gaps array · 15 items
[0]
asset:data:geo:GSE146771 licence not read
[1]
asset:data:geo:GSE146771 not downloaded
[2]
asset:data:geo:GSE176307 licence not read
[3]
asset:data:geo:GSE176307 not downloaded
[4]
asset:data:geo:GSE29623 licence not read
[5]
asset:data:geo:GSE29623 not downloaded
[6]
asset:data:geo:GSE39582 licence not read
[7]
asset:data:geo:GSE39582 not downloaded
[8]
asset:data:geo:GSE41258 licence not read
[9]
asset:data:geo:GSE41258 not downloaded
[10]
execution.not_run
[11]
method.reader_differs_from_extractor
[12]
review.human_critique
[13]
review.independent_reader
[14]
review.machine_critique
assays array · 7 items
[0] object · 11 fields
role
data_generation
definition_id
rna_seq
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 3 items
[0]
Colon Adenocarcinoma by Single-Cell and Bulk RNA Sequencing Analysis
[1]
ION: In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the
[2]
l was constructed using single-cell and bulk RNA sequencing data to develop a new understanding and clin
order_basis
paper_text_order:110
id
assay:1
[1] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
unological microenvironment. Lastly, we used qPCR and immunohistochemistry to examine the expr
[1]
ccording to immunotherapy response research. qPCR and immunohistochemistry analysis have revea
[2]
used quantitative Polymerase Chain Reaction (qPCR) and Immunohistochemistry (IHC) research to
[3]
with Colorectal Adenocarcinoma (COAD). Both qPCR (Figs. 15A-C) and immunohistochemistry (Figs
order_basis
paper_text_order:1163
id
assay:2
[2] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
l microenvironment. Lastly, we used qPCR and immunohistochemistry to examine the expression of the unreported
[1]
to immunotherapy response research. qPCR and immunohistochemistry analysis have revealed S1PR5 expression as h
[2]
itative Polymerase Chain Reaction (qPCR) and Immunohistochemistry (IHC) research to examine the expression of
[3]
arcinoma (COAD). Both qPCR (Figs. 15A-C) and immunohistochemistry (Figs. 15D-F) showed that in COAD tissues, t
order_basis
paper_text_order:1172
id
assay:3
[3] object · 11 fields
role
data_generation
definition_id
scrna_seq
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
unsupported
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
roliferate. CONCLUSION: In this study, using scRNA-seq and bulk RNA-seq data, we created a risk mod
order_basis
paper_text_order:2394
id
assay:4
[4] object · 11 fields
role
data_generation
definition_id
transfection
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 3 items
[0]
ts approval for this study. Cell Culture and Transfection The human CRC cell lines SW480 and SW620 wer
[1]
nce group consisted of SW620 cells that were transfected with lentiviral expression vectors (pLVX-IRE
[2]
rol group consisted of SW480 cells that were transfected with the vector. The findings showed that st
order_basis
paper_text_order:3363
id
assay:5
[5] object · 11 fields
role
data_generation
definition_id
cell_culture
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.77
evidence array · 1 item
[0]
ates. Cells labelled as SW480 and SW620 were cultured in Leibovitz's L-15 media (Sigma, Beijing, Chin
order_basis
paper_text_order:3514
id
assay:6
[6] object · 11 fields
role
analysis
definition_id
regression_modelling
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
ols_fit
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
These signatures were identified after removing redundant genes in the training set using Lasso linear regression with a seed value of 1,110.
order_basis
consumes_earlier_output
id
assay:7
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39513308", "kind": "science-record", "revision": 3, "content_hash": "sha256:f07d66574f57439d4b98c960a872d368bb976ad6595c686912296d832da44584", "created_at": "2026-11-01T20:29:46Z", "updated_at": "2026-11-01T22:13:05Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The Risk Genes S1PR5, CMC1, and ASAH1 as Potential Targets for the Diagnosis, Immunotherapy, and Treatment of Colon Adenocarcinoma by Single-Cell and Bulk RNA Sequencing Analysis", "doi": "10.2174/0109298673331144241009082052", "pmid": "39513308", "authors": ["Zipeng Xu", "Jiantao Gong", "Weidong Hu", "Chen Ge", "Genxi Tong", "Fengjun Cai", "Zhenghai Zhu", "Yihang Yuan", "Chaobo Chen"], "journal": "Current medicinal chemistry", "year": 2024, "abstract": "OBJECTIVE: Globally, one of the main causes of cancer-related mortality is Colon Adenocarcinoma (COAD). In this study, a new special Immune Cell Functions (ICF) risk model was constructed using single-cell and bulk RNA sequencing data to develop a new understanding and clinical applications for COAD.\nMETHODS: The immune function gene sets were downloaded from a literature reference, and the COAD single-cell dataset GSE146771 was downloaded from the Tumour Immune Single Cell Hub database. Using Lasso analysis, a multiple gene signature was made from the enrichment scores of immune function gene sets that were enriched in different ways. Robust validation of the signature was then performed in multiple independent cohorts. After that, we built the model using a 10-fold cross-test and evaluated its independence for clinical usage using a nomogram. We also investigated the connection between signature and immune function, genetic variation, immunotherapy, and the cancer immunological microenvironment. Lastly, we used qPCR and immunohistochemistry to examine the expression of the unreported model genes. To find the regulatory functions of unreported model genes, an EdU assay was employed.\nRESULTS: First, 20 differentially enriched immune function gene sets were identified. Ten genes can be used as a risk profile to assess the prognosis of colon cancer, according to Lasso regression analysis. Signature performance was stable in both the training cohort and two independent GEO external cohorts, and risk scores were confirmed as independent prognostic factors. At the same time, our risk model continued to be highly predictive across various clinical clusters and clinical characteristics, such as immune checkpoints, tumour genome mutations, and chemotherapeutic drug resistance. Patients in the low-risk group have exhibited a higher chance of benefiting from immunotherapy, according to immunotherapy response research. qPCR and immunohistochemistry analysis have revealed S1PR5 expression as high in COAD tissues, while CMC1 and ASAH1 expression has been found to be low. According to the findings of the functional experiment, S1PR5, CMC1, and ASAH1 may control the ability of CRC cells to proliferate.\nCONCLUSION: In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the prognosis and effectiveness of immunotherapy in patients with COAD. In addition, we have discovered three model genes (S1PR5, CMC1, and ASAH1) that have not been reported before. These genes have the potential to be novel therapeutic targets in Colorectal Cancer (CRC). These findings suggest that this model could be used to evaluate the prognostic risk and identify potential targets for COAD patient treatment.", "claims": [{"id": "claim-method", "statement": "These signatures were identified after removing redundant genes in the training set using Lasso linear regression with a seed value of 1,110.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39513308", "locator": "sections[26] \"Recognition of ICF Signature in the Prognosis of COAD\" paragraph 2", "quote": "These signatures were identified after removing redundant genes in the training set using Lasso linear regression with a seed value of 1,110."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data generated or analysed during this study are included in this published article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39513308", "locator": "sections[45] \"AVAILABILITY OF DATA AND MATERIALS\" paragraph 2", "quote": "All data generated or analysed during this study are included in this published article."}], "state": "complete"}, {"id": "claim-target-result", "statement": "In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the prognosis and effectiveness of immunotherapy in patients with COAD.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39513308", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the prognosis and effectiveness of immunotherapy in patients with COAD."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the prognosis and effectiveness of immunotherapy in patients with COAD.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:39513308"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE146771"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE146771"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39513308", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2174/0109298673331144241009082052", "sha256": "sha256:9701df7d7e351ef36a95f6f47feaade9c64528ff18a53027ca5d0fc378cd3b40", "bytes": 59916, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.2174/0109298673331144241009082052", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC13555847", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE146771", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE146771", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE146771", "version": null, "note": "All data generated or analysed during this study are included in this published article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data generated or analysed during this study are included in this published article.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM4405613", "GSM4405614", "GSM4405615", "GSM4405616", "GSM4405617", "GSM4405618", "GSM4405619", "GSM4405620", "GSM4405621", "GSM4405622", "GSM4405623", "GSM4405624", "GSM4405625", "GSM4405626", "GSM4405627", "GSM4405628", "GSM4405629", "GSM4405630", "GSM4405631", "GSM4405632"], "sample_count": 20, "group_sizes": null, "group_sizes_basis": null, "platform": "20301", "taxon": "Homo sapiens", "title": "Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted therapies in colon cancer", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE176307", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE176307", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE176307", "version": null, "note": "All data generated or analysed during this study are included in this published article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data generated or analysed during this study are included in this published article.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM5362464", "GSM5362465", "GSM5362466", "GSM5362467", "GSM5362468", "GSM5362469", "GSM5362470", "GSM5362471", "GSM5362472", "GSM5362473", "GSM5362474", "GSM5362475", "GSM5362476", "GSM5362477", "GSM5362478", "GSM5362479", "GSM5362480", "GSM5362481", "GSM5362482", "GSM5362483", "GSM5362484", "GSM5362485", "GSM5362486", "GSM5362487", "GSM5362488", "GSM5362489", "GSM5362490", "GSM5362491", "GSM5362492", "GSM5362493", "GSM5362494", "GSM5362495", "GSM5362496", "GSM5362497", "GSM5362498", "GSM5362499", "GSM5362500", "GSM5362501", "GSM5362502", "GSM5362503", "GSM5362504", "GSM5362505", "GSM5362506", "GSM5362507", "GSM5362508", "GSM5362509", "GSM5362510", "GSM5362511", "GSM5362512", "GSM5362513", "GSM5362514", "GSM5362515", "GSM5362516", "GSM5362517", "GSM5362518", "GSM5362519", "GSM5362520", "GSM5362521", "GSM5362522", "GSM5362523", "GSM5362524", "GSM5362525", "GSM5362526", "GSM5362527", "GSM5362528", "GSM5362529", "GSM5362530", "GSM5362531", "GSM5362532", "GSM5362533", "GSM5362534", "GSM5362535", "GSM5362536", "GSM5362537", "GSM5362538", "GSM5362539", "GSM5362540", "GSM5362541", "GSM5362542", "GSM5362543", "GSM5362544", "GSM5362545", "GSM5362546", "GSM5362547", "GSM5362548", "GSM5362549", "GSM5362550", "GSM5362551", "GSM5362552", "GSM5362553"], "sample_count": 90, "group_sizes": null, "group_sizes_basis": null, "platform": "24014", "taxon": "Homo sapiens", "title": "Fibroblast Growth Factor Receptor 3 Alterations and Response to Immune Checkpoint Inhibition in Metastatic Urothelial Cancer: A Real World Experience", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE29623", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE29623", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE29623", "version": null, "note": "All data generated or analysed during this study are included in this published article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data generated or analysed during this study are included in this published article.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM734111", "GSM734112", "GSM734113", "GSM734114", "GSM734115", "GSM734116", "GSM734117", "GSM734118", "GSM734119", "GSM734120", "GSM734121", "GSM734122", "GSM734123", "GSM734124", "GSM734125", "GSM734126", "GSM734127", "GSM734128", "GSM734129", "GSM734130", "GSM734131", "GSM734132", "GSM734133", "GSM734134", "GSM734135", "GSM734136", "GSM734137", "GSM734138", "GSM734139", "GSM734140", "GSM734141", "GSM734142", "GSM734143", "GSM734144", "GSM734145", "GSM734146", "GSM734147", "GSM734148", "GSM734149", "GSM734150", "GSM734151", "GSM734152", "GSM734153", "GSM734154", "GSM734155", "GSM734156", "GSM734157", "GSM734158", "GSM734159", "GSM734160", "GSM734161", "GSM734162", "GSM734163", "GSM734164", "GSM734165", "GSM734166", "GSM734167", "GSM734168", "GSM734169", "GSM734170", "GSM734171", "GSM734172", "GSM734173", "GSM734174", "GSM734175", "GSM734176", "GSM734177", "GSM734178", "GSM734179", "GSM734180", "GSM734181", "GSM734182", "GSM734183", "GSM734184", "GSM734185", "GSM734186", "GSM734187", "GSM734188", "GSM734189", "GSM734190", "GSM734191", "GSM734192", "GSM734193", "GSM734194", "GSM734195", "GSM734196", "GSM734197", "GSM734198", "GSM734199", "GSM734200", "GSM734201", "GSM734202", "GSM734203", "GSM734204", "GSM734205", "GSM734206", "GSM734207", "GSM734208", "GSM734209", "GSM734210", "GSM734211", "GSM734212", "GSM734213", "GSM734214", "GSM734215", "GSM734216", "GSM734217", "GSM734218", "GSM734219", "GSM734220", "GSM734221", "GSM734222", "GSM734223", "GSM734224", "GSM734225", "GSM734226", "GSM734227", "GSM734228", "GSM734229", "GSM734230", "GSM734231", "GSM734232", "GSM734233", "GSM734234", "GSM734235", "GSM734236", "GSM734237", "GSM734238", "GSM734239", "GSM734240"], "sample_count": 130, "group_sizes": null, "group_sizes_basis": null, "platform": "570;11162", "taxon": "Homo sapiens", "title": "mRNA and microRNA profile in colon cancer", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE39582", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE39582", "version": null, "note": "All data generated or analysed during this study are included in this published article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data generated or analysed during this study are included in this published article.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1681353", "GSM1681354", "GSM1681355", "GSM1681356", "GSM1681357", "GSM1681358", "GSM1681359", "GSM1681360", "GSM1681361", "GSM1681362", "GSM1681363", "GSM1681364", "GSM1681365", "GSM1681366", "GSM1681367", "GSM1681368", "GSM1681369", "GSM1681370", "GSM1681371", "GSM971957", "GSM971958", "GSM971959", "GSM971960", "GSM971961", "GSM971962", "GSM971963", "GSM971964", "GSM971965", "GSM971966", "GSM971967", "GSM971968", "GSM971969", "GSM971970", "GSM971971", "GSM971972", "GSM971973", "GSM971974", "GSM971975", "GSM971976", "GSM971977", "GSM971978", "GSM971979", "GSM971980", "GSM971981", "GSM971982", "GSM971983", "GSM971984", "GSM971985", "GSM971986", "GSM971987", "GSM971988", "GSM971989", "GSM971990", "GSM971991", "GSM971992", "GSM971993", "GSM971994", "GSM971995", "GSM971996", "GSM971997", "GSM971998", "GSM971999", "GSM972000", "GSM972001", "GSM972002", "GSM972003", "GSM972004", "GSM972005", "GSM972006", "GSM972007", "GSM972008", "GSM972009", "GSM972010", "GSM972011", "GSM972012", "GSM972013", "GSM972014", "GSM972015", "GSM972016", "GSM972017", "GSM972018", "GSM972019", "GSM972020", "GSM972021", "GSM972022", "GSM972023", "GSM972024", "GSM972025", "GSM972026", "GSM972027", "GSM972028", "GSM972029", "GSM972030", "GSM972031", "GSM972032", "GSM972033", "GSM972034", "GSM972035", "GSM972036", "GSM972037", "GSM972038", "GSM972039", "GSM972040", "GSM972041", "GSM972042", "GSM972043", "GSM972044", "GSM972045", "GSM972046", "GSM972047", "GSM972048", "GSM972049", "GSM972050", "GSM972051", "GSM972052", "GSM972053", "GSM972054", "GSM972055", "GSM972056", "GSM972057", "GSM972058", "GSM972059", "GSM972060", "GSM972061", "GSM972062", "GSM972063", "GSM972064", "GSM972065", "GSM972066", "GSM972067", "GSM972068", "GSM972069", "GSM972070", "GSM972071", "GSM972072", "GSM972073", "GSM972074", "GSM972075", "GSM972076", "GSM972077", "GSM972078", "GSM972079", "GSM972080", "GSM972081", "GSM972082", "GSM972083", "GSM972084", "GSM972085", "GSM972086", "GSM972087", "GSM972088", "GSM972089", "GSM972090", "GSM972091", "GSM972092", "GSM972093", "GSM972094", "GSM972095", "GSM972096", "GSM972097", "GSM972098", "GSM972099", "GSM972100", "GSM972101", "GSM972102", "GSM972103", "GSM972104", "GSM972105", "GSM972106", "GSM972107", "GSM972108", "GSM972109", "GSM972110", "GSM972111", "GSM972112", "GSM972113", "GSM972114", "GSM972115", "GSM972116", "GSM972117", "GSM972118", "GSM972119", "GSM972120", "GSM972121", "GSM972122", "GSM972123", "GSM972124", "GSM972125", "GSM972126", "GSM972127", "GSM972128", "GSM972129", "GSM972130", "GSM972131", "GSM972132", "GSM972133", "GSM972134", "GSM972135", "GSM972136", "GSM972137", "GSM972138", "GSM972139", "GSM972140", "GSM972141", "GSM972142", "GSM972143", "GSM972144", "GSM972145", "GSM972146", "GSM972147", "GSM972148", "GSM972149", "GSM972150", "GSM972151", "GSM972152", "GSM972153", "GSM972154", "GSM972155", "GSM972156", "GSM972157", "GSM972158", "GSM972159", "GSM972160", "GSM972161", "GSM972162", "GSM972163", "GSM972164", "GSM972165", "GSM972166", "GSM972167", "GSM972168", "GSM972169", "GSM972170", "GSM972171", "GSM972172", "GSM972173", "GSM972174", "GSM972175", "GSM972176", "GSM972177", "GSM972178", "GSM972179", "GSM972180", "GSM972181", "GSM972182", "GSM972183", "GSM972184", "GSM972185", "GSM972186", "GSM972187", "GSM972188", "GSM972189", "GSM972190", "GSM972191", "GSM972192", "GSM972193", "GSM972194", "GSM972195", "GSM972196", "GSM972197", "GSM972198", "GSM972199", "GSM972200", "GSM972201", "GSM972202", "GSM972203", "GSM972204", "GSM972205", "GSM972206", "GSM972207", "GSM972208", "GSM972209", "GSM972210", "GSM972211", "GSM972212", "GSM972213", "GSM972214", "GSM972215", "GSM972216", "GSM972217", "GSM972218", "GSM972219", "GSM972220", "GSM972221", "GSM972222", "GSM972223", "GSM972224", "GSM972225", "GSM972226", "GSM972227", "GSM972228", "GSM972229", "GSM972230", "GSM972231", "GSM972232", "GSM972233", "GSM972234", "GSM972235", "GSM972236", "GSM972237", "GSM972238", "GSM972239", "GSM972240", "GSM972241", "GSM972242", "GSM972243", "GSM972244", "GSM972245", "GSM972246", "GSM972247", "GSM972248", "GSM972249", "GSM972250", "GSM972251", "GSM972252", "GSM972253", "GSM972254", "GSM972255", "GSM972256", "GSM972257", "GSM972258", "GSM972259", "GSM972260", "GSM972261", "GSM972262", "GSM972263", "GSM972264", "GSM972265", "GSM972266", "GSM972267", "GSM972268", "GSM972269", "GSM972270", "GSM972271", "GSM972272", "GSM972273", "GSM972274", "GSM972275", "GSM972276", "GSM972277", "GSM972278", "GSM972279", "GSM972280", "GSM972281", "GSM972282", "GSM972283", "GSM972284", "GSM972285", "GSM972286", "GSM972287", "GSM972288", "GSM972289", "GSM972290", "GSM972291", "GSM972292", "GSM972293", "GSM972294", "GSM972295", "GSM972296", "GSM972297", "GSM972298", "GSM972299", "GSM972300", "GSM972301", "GSM972302", "GSM972303", "GSM972304", "GSM972305", "GSM972306", "GSM972307", "GSM972308", "GSM972309", "GSM972310", "GSM972311", "GSM972312", "GSM972313", "GSM972314", "GSM972315", "GSM972316", "GSM972317", "GSM972318", "GSM972319", "GSM972320", "GSM972321", "GSM972322", "GSM972323", "GSM972324", "GSM972325", "GSM972326", "GSM972327", "GSM972328", "GSM972329", "GSM972330", "GSM972331", "GSM972332", "GSM972333", "GSM972334", "GSM972335", "GSM972336", "GSM972337", "GSM972338", "GSM972339", "GSM972340", "GSM972341", "GSM972342", "GSM972343", "GSM972344", "GSM972345", "GSM972346", "GSM972347", "GSM972348", "GSM972349", "GSM972350", "GSM972351", "GSM972352", "GSM972353", "GSM972354", "GSM972355", "GSM972356", "GSM972357", "GSM972358", "GSM972359", "GSM972360", "GSM972361", "GSM972362", "GSM972363", "GSM972364", "GSM972365", "GSM972366", "GSM972367", "GSM972368", "GSM972369", "GSM972370", "GSM972371", "GSM972372", "GSM972373", "GSM972374", "GSM972375", "GSM972376", "GSM972377", "GSM972378", "GSM972379", "GSM972380", "GSM972381", "GSM972382", "GSM972383", "GSM972384", "GSM972385", "GSM972386", "GSM972387", "GSM972388", "GSM972389", "GSM972390", "GSM972391", "GSM972392", "GSM972393", "GSM972394", "GSM972395", "GSM972396", "GSM972397", "GSM972398", "GSM972399", "GSM972400", "GSM972401", "GSM972402", "GSM972403", "GSM972404", "GSM972405", "GSM972406", "GSM972407", "GSM972408", "GSM972409", "GSM972410", "GSM972411", "GSM972412", "GSM972413", "GSM972414", "GSM972415", "GSM972416", "GSM972417", "GSM972418", "GSM972419", "GSM972420", "GSM972421", "GSM972422", "GSM972423", "GSM972424", "GSM972425", "GSM972426", "GSM972427", "GSM972428", "GSM972429", "GSM972430", "GSM972431", "GSM972432", "GSM972433", "GSM972434", "GSM972435", "GSM972436", "GSM972437", "GSM972438", "GSM972439", "GSM972440", "GSM972441", "GSM972442", "GSM972443", "GSM972444", "GSM972445", "GSM972446", "GSM972447", "GSM972448", "GSM972449", "GSM972450", "GSM972451", "GSM972452", "GSM972453", "GSM972454", "GSM972455", "GSM972456", "GSM972457", "GSM972458", "GSM972459", "GSM972460", "GSM972461", "GSM972462", "GSM972463", "GSM972464", "GSM972465", "GSM972466", "GSM972467", "GSM972468", "GSM972469", "GSM972470", "GSM972471", "GSM972472", "GSM972473", "GSM972474", "GSM972475", "GSM972476", "GSM972477", "GSM972478", "GSM972479", "GSM972480", "GSM972481", "GSM972482", "GSM972483", "GSM972484", "GSM972485", "GSM972486", "GSM972487", "GSM972488", "GSM972489", "GSM972490", "GSM972491", "GSM972492", "GSM972493", "GSM972494", "GSM972495", "GSM972496", "GSM972497", "GSM972498", "GSM972499", "GSM972500", "GSM972501", "GSM972502", "GSM972503", "GSM972504", "GSM972505", "GSM972506", "GSM972507", "GSM972508", "GSM972509", "GSM972510", "GSM972511", "GSM972512", "GSM972513", "GSM972514", "GSM972515", "GSM972516", "GSM972517", "GSM972518", "GSM972519", "GSM972520", "GSM972521", "GSM972522"], "sample_count": 585, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE41258", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE41258", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE41258", "version": null, "note": "All data generated or analysed during this study are included in this published article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data generated or analysed during this study are included in this published article.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1012278", "GSM1012279", "GSM1012280", "GSM1012281", "GSM1012282", "GSM1012283", "GSM1012284", "GSM1012285", "GSM1012286", "GSM1012287", "GSM1012288", "GSM1012289", "GSM1012290", "GSM1012291", "GSM1012292", "GSM1012293", "GSM1012294", "GSM1012295", "GSM1012296", "GSM1012297", "GSM1012298", "GSM1012299", "GSM1012300", "GSM1012301", "GSM1012302", "GSM1012303", "GSM1012304", "GSM1012305", "GSM1012306", "GSM1012307", "GSM1012308", "GSM1012309", "GSM1012310", "GSM1012311", "GSM1012312", "GSM1012313", "GSM1012314", "GSM1012315", "GSM1012316", "GSM1012317", "GSM1012318", "GSM1012319", "GSM1012320", "GSM1012321", "GSM1012322", "GSM1012323", "GSM1012324", "GSM1012325", "GSM1012326", "GSM1012327", "GSM1012328", "GSM1012329", "GSM1012330", "GSM1012331", "GSM1012332", "GSM1012333", "GSM1012334", "GSM1012335", "GSM1012336", "GSM1012337", "GSM1012338", "GSM1012339", "GSM1012340", "GSM1012341", "GSM1012342", "GSM1012343", "GSM1012344", "GSM1012345", "GSM1012346", "GSM1012347", "GSM1012348", "GSM1012349", "GSM1012350", "GSM1012351", "GSM1012352", "GSM1012353", "GSM1012354", "GSM1012355", "GSM1012356", "GSM1012357", "GSM1012358", "GSM1012359", "GSM1012360", "GSM1012361", "GSM1012362", "GSM1012363", "GSM1012364", "GSM1012365", "GSM1012366", "GSM1012367", "GSM1012368", "GSM1012369", "GSM1012370", "GSM1012371", "GSM1012372", "GSM1012373", "GSM1012374", "GSM1012375", "GSM1012376", "GSM1012377", "GSM1012378", "GSM1012379", "GSM1012380", "GSM1012381", "GSM1012382", "GSM1012383", "GSM1012384", "GSM1012385", "GSM1012386", "GSM1012387", "GSM1012388", "GSM1012389", "GSM1012390", "GSM1012391", "GSM1012392", "GSM1012393", "GSM1012394", "GSM1012395", "GSM1012396", "GSM1012397", "GSM1012398", "GSM1012399", "GSM1012400", "GSM1012401", "GSM1012402", "GSM1012403", "GSM1012404", "GSM1012405", "GSM1012406", "GSM1012407", "GSM1012408", "GSM1012409", "GSM1012410", "GSM1012411", "GSM1012412", "GSM1012413", "GSM1012414", "GSM1012415", "GSM1012416", "GSM1012417", "GSM1012418", "GSM1012419", "GSM1012420", "GSM1012421", "GSM1012422", "GSM1012423", "GSM1012424", "GSM1012425", "GSM1012426", "GSM1012427", "GSM1012428", "GSM1012429", "GSM1012430", "GSM1012431", "GSM1012432", "GSM1012433", "GSM1012434", "GSM1012435", "GSM1012436", "GSM1012437", "GSM1012438", "GSM1012439", "GSM1012440", "GSM1012441", "GSM1012442", "GSM1012443", "GSM1012444", "GSM1012445", "GSM1012446", "GSM1012447", "GSM1012448", "GSM1012449", "GSM1012450", "GSM1012451", "GSM1012452", "GSM1012453", "GSM1012454", "GSM1012455", "GSM1012456", "GSM1012457", "GSM1012458", "GSM1012459", "GSM1012460", "GSM1012461", "GSM1012462", "GSM1012463", "GSM1012464", "GSM1012465", "GSM1012466", "GSM1012467", "GSM1012468", "GSM1012469", "GSM1012470", "GSM1012471", "GSM1012472", "GSM1012473", "GSM1012474", "GSM1012475", "GSM1012476", "GSM1012477", "GSM1012478", "GSM1012479", "GSM1012480", "GSM1012481", "GSM1012482", "GSM1012483", "GSM1012484", "GSM1012485", "GSM1012486", "GSM1012487", "GSM1012488", "GSM1012489", "GSM1012490", "GSM1012491", "GSM1012492", "GSM1012493", "GSM1012494", "GSM1012495", "GSM1012496", "GSM1012497", "GSM1012498", "GSM1012499", "GSM1012500", "GSM1012501", "GSM1012502", "GSM1012503", "GSM1012504", "GSM1012505", "GSM1012506", "GSM1012507", "GSM1012508", "GSM1012509", "GSM1012510", "GSM1012511", "GSM1012512", "GSM1012513", "GSM1012514", "GSM1012515", "GSM1012516", "GSM1012517", "GSM1012518", "GSM1012519", "GSM1012520", "GSM1012521", "GSM1012522", "GSM1012523", "GSM1012524", "GSM1012525", "GSM1012526", "GSM1012527", "GSM1012528", "GSM1012529", "GSM1012530", "GSM1012531", "GSM1012532", "GSM1012533", "GSM1012534", "GSM1012535", "GSM1012536", "GSM1012537", "GSM1012538", "GSM1012539", "GSM1012540", "GSM1012541", "GSM1012542", "GSM1012543", "GSM1012544", "GSM1012545", "GSM1012546", "GSM1012547", "GSM1012548", "GSM1012549", "GSM1012550", "GSM1012551", "GSM1012552", "GSM1012553", "GSM1012554", "GSM1012555", "GSM1012556", "GSM1012557", "GSM1012558", "GSM1012559", "GSM1012560", "GSM1012561", "GSM1012562", "GSM1012563", "GSM1012564", "GSM1012565", "GSM1012566", "GSM1012567", "GSM1012568", "GSM1012569", "GSM1012570", "GSM1012571", "GSM1012572", "GSM1012573", "GSM1012574", "GSM1012575", "GSM1012576", "GSM1012577", "GSM1012578", "GSM1012579", "GSM1012580", "GSM1012581", "GSM1012582", "GSM1012583", "GSM1012584", "GSM1012585", "GSM1012586", "GSM1012587", "GSM1012588", "GSM1012589", "GSM1012590", "GSM1012591", "GSM1012592", "GSM1012593", "GSM1012594", "GSM1012595", "GSM1012596", "GSM1012597", "GSM1012598", "GSM1012599", "GSM1012600", "GSM1012601", "GSM1012602", "GSM1012603", "GSM1012604", "GSM1012605", "GSM1012606", "GSM1012607", "GSM1012608", "GSM1012609", "GSM1012610", "GSM1012611", "GSM1012612", "GSM1012613", "GSM1012614", "GSM1012615", "GSM1012616", "GSM1012617", "GSM1012618", "GSM1012619", "GSM1012620", "GSM1012621", "GSM1012622", "GSM1012623", "GSM1012624", "GSM1012625", "GSM1012626", "GSM1012627", "GSM1012628", "GSM1012629", "GSM1012630", "GSM1012631", "GSM1012632", "GSM1012633", "GSM1012634", "GSM1012635", "GSM1012636", "GSM1012637", "GSM1012638", "GSM1012639", "GSM1012640", "GSM1012641", "GSM1012642", "GSM1012643", "GSM1012644", "GSM1012645", "GSM1012646", "GSM1012647", "GSM1012648", "GSM1012649", "GSM1012650", "GSM1012651", "GSM1012652", "GSM1012653", "GSM1012654", "GSM1012655", "GSM1012656", "GSM1012657", "GSM1012658", "GSM1012659", "GSM1012660", "GSM1012661", "GSM1012662", "GSM1012663", "GSM1012664", "GSM1012665", "GSM1012666", "GSM1012667"], "sample_count": 390, "group_sizes": null, "group_sizes_basis": null, "platform": "96", "taxon": "Homo sapiens", "title": "Expression data from colorectal cancer patients", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE146771 not downloaded", "asset:data:geo:GSE146771 licence not read", "asset:data:geo:GSE176307 not downloaded", "asset:data:geo:GSE176307 licence not read", "asset:data:geo:GSE29623 not downloaded", "asset:data:geo:GSE29623 licence not read", "asset:data:geo:GSE39582 not downloaded", "asset:data:geo:GSE39582 licence not read", "asset:data:geo:GSE41258 not downloaded", "asset:data:geo:GSE41258 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "regression_modelling", "specific": "ols", "label": "Regression modelling", "dsl_operations": ["ols_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["predictors_and_outcome"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "These signatures were identified after removing redundant genes in the training set using Lasso linear regression with a seed value of 1,110."}}, {"id": "method-2", "family": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Wilcoxon"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["ols_fit"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ols."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE29623", "GSE39582", "GSE41258", "GSE176307", "GSE146771"], "resolved_accessions": ["GSE29623", "GSE39582", "GSE41258", "GSE176307", "GSE146771"], "statements": ["All data generated or analysed during this study are included in this published article."], "basis": "The paper names GSE29623, GSE39582, GSE41258, GSE176307, GSE146771 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["ols_fit"], "assets": ["source:pmid:39513308", "data:geo:GSE146771"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE146771"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:37:52Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 15242, "completion_tokens": 2036, "cached_tokens": 256}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:39513308", "type": "paper", "label": "pmid:39513308"}, {"id": "source:pmid:39513308", "type": "manuscript", "label": "PMID 39513308 full text"}, {"id": "data:geo:GSE146771", "type": "dataset", "label": "GEO GSE146771"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:39513308", "type": "paper", "label": "pmid:39513308"}, {"id": "source:pmid:39513308", "type": "manuscript", "label": "PMID 39513308 full text"}, {"id": "data:geo:GSE146771", "type": "dataset", "label": "GEO GSE146771"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-39513308", "type": "extraction", "used": ["source:pmid:39513308"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE146771", "type": "accession_resolution", "used": ["data:geo:GSE146771"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:39513308", "parent_hash": "sha256:1acf7a73721d3b7dba2a14b3691411b03fefc9455fd1def214c44aa41be30491", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE146771 licence not read", "asset:data:geo:GSE146771 not downloaded", "asset:data:geo:GSE176307 licence not read", "asset:data:geo:GSE176307 not downloaded", "asset:data:geo:GSE29623 licence not read", "asset:data:geo:GSE29623 not downloaded", "asset:data:geo:GSE39582 licence not read", "asset:data:geo:GSE39582 not downloaded", "asset:data:geo:GSE41258 licence not read", "asset:data:geo:GSE41258 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["Colon Adenocarcinoma by Single-Cell and Bulk RNA Sequencing Analysis", "ION: In this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the", "l was constructed using single-cell and bulk RNA sequencing data to develop a new understanding and clin"], "order_basis": "paper_text_order:110", "id": "assay:1"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["unological microenvironment. Lastly, we used qPCR and immunohistochemistry to examine the expr", "ccording to immunotherapy response research. qPCR and immunohistochemistry analysis have revea", "used quantitative Polymerase Chain Reaction (qPCR) and Immunohistochemistry (IHC) research to", "with Colorectal Adenocarcinoma (COAD). Both qPCR (Figs. 15A-C) and immunohistochemistry (Figs"], "order_basis": "paper_text_order:1163", "id": "assay:2"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["l microenvironment. Lastly, we used qPCR and immunohistochemistry to examine the expression of the unreported", "to immunotherapy response research. qPCR and immunohistochemistry analysis have revealed S1PR5 expression as h", "itative Polymerase Chain Reaction (qPCR) and Immunohistochemistry (IHC) research to examine the expression of", "arcinoma (COAD). Both qPCR (Figs. 15A-C) and immunohistochemistry (Figs. 15D-F) showed that in COAD tissues, t"], "order_basis": "paper_text_order:1172", "id": "assay:3"}, {"role": "data_generation", "definition_id": "scrna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "unsupported", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["roliferate. CONCLUSION: In this study, using scRNA-seq and bulk RNA-seq data, we created a risk mod"], "order_basis": "paper_text_order:2394", "id": "assay:4"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ts approval for this study. Cell Culture and Transfection The human CRC cell lines SW480 and SW620 wer", "nce group consisted of SW620 cells that were transfected with lentiviral expression vectors (pLVX-IRE", "rol group consisted of SW480 cells that were transfected with the vector. The findings showed that st"], "order_basis": "paper_text_order:3363", "id": "assay:5"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["ates. Cells labelled as SW480 and SW620 were cultured in Leibovitz's L-15 media (Sigma, Beijing, Chin"], "order_basis": "paper_text_order:3514", "id": "assay:6"}, {"role": "analysis", "definition_id": "regression_modelling", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["ols_fit"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["These signatures were identified after removing redundant genes in the training set using Lasso linear regression with a seed value of 1,110."], "order_basis": "consumes_earlier_output", "id": "assay:7"}]}