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

pmid:36849137

Inhibition of apoptosis through AKT-mTOR pathway in ovarian cancer and renal cancer.

Hongrun Chen · Lianfeng Zhang · Meini Zuo · Xiaowen Lou · Bin Liu · Taozhu Fu

Aging · 2023 doi:10.18632/aging.204564

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:36849137
kind
science-record
content_hash
sha256:3d0927f5dd09b5c9787aa5fa6e8b44606d313163fedecf143311c472a95d2f98
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T19:01:28Z
updated_at
2026-11-01T22:08:57Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Inhibition of apoptosis through AKT-mTOR pathway in ovarian cancer and renal cancer.
doi
10.18632/aging.204564
pmid
36849137
authors array · 6 items
[0]
Hongrun Chen
[1]
Lianfeng Zhang
[2]
Meini Zuo
[3]
Xiaowen Lou
[4]
Bin Liu
[5]
Taozhu Fu
journal
Aging
year
2023
abstract
OBJECTIVE: Ovarian cancer and renal cancer are malignant tumors; however, the relationship between TTK Protein Kinase (TTK), AKT-mTOR pathway and ovarian cancer, renal cancer remains unclear. METHODS: Download GSE36668 and GSE69428 from Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was performed. Created protein-protein interaction (PPI) network. Used Gene Ontology analysis (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) for functional enrichment analysis. Gene Set Enrichment Analysis (GSEA) analysis and survival analysis were performed. Created animal model for western blot analysis. Gene Expression Profiling Interactive Analysis (GEPIA) was performed to explore the role of TTK on the overall survival of renal cancer. RESULTS: GO showed that DEGs were enriched in anion and small molecule binding, and DNA methylation. KEGG analysis presented that they mostly enriched in cholesterol metabolism, type 1 diabetes, sphingolipid metabolism, ABC transporters, etc., TTK, mTOR, p-mTOR, AKT, p-AKT, 4EBP1, p-4EBP1 and Bcl-2 are highly expressed in ovarian cancer, Bax, Caspase3 are lowly expressed in ovarian cancer, cell apoptosis is inhibited, leading to deterioration of ovarian cancer. Furthermore, the TTK was not only the hub biomarker of ovarian cancer, but also one significant hub gene of renal cancer, and its expression was up-regulated in the renal cancer. Compared with the renal cancer patients with low expression of TTK, the patients with high expression of TTK have the poor overall survival (P = 0.0021). CONCLUSION: TTK inhibits apoptosis through AKT-mTOR pathway, worsening ovarian cancer. And TTK was also one significant hub biomarker of renal cancer.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
We selected the ovarian cancer survival data from the dataset GSE140082, used R software package maxstat (version:0.7–25) to calculate optimal cut-off value of RiskScore of ten core genes, best cut-off value is calculated, Survfit function of the R package survival was further used to find prognostic differences.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36849137
locator
sections[11] "Survival analysis" paragraph 2
quote
We selected the ovarian cancer survival data from the dataset GSE140082, used R software package maxstat (version:0.7–25) to calculate optimal cut-off value of RiskScore of ten core genes, best cut-off value is calculated, Survfit function of the R package survival was further used to find prognostic differences.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36849137
locator
sections[15] "Data availability" paragraph 2
quote
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Renal cancer patients with high TTK expression had poorer overall survival than patients with low TTK expression (P = 0.0021).
kind
quantitative
target object · 4 fields
value
0.0021
unit
p-value
tolerance
null
source
Compared with the renal cancer patients with low expression of TTK, the patients with high expression of TTK have the poor overall survival (P = 0.0021).
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36849137
locator
sections[0] "Abstract" paragraph 3
quote
Compared with the renal cancer patients with low expression of TTK, the patients with high expression of TTK have the poor overall survival (P = 0.0021).
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
Renal cancer patients with high TTK expression had poorer overall survival than patients with low TTK expression (P = 0.0021).
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:36849137
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:GSE10540
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:GSE10540
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 · 5 items
[0] object · 15 fields
id
source:pmid:36849137
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.18632/aging.204564
sha256
sha256:80dfdaee3d5c4f41c70ecd7d0246c0382111a1770bcc715d3a2857cca643082e
bytes
31358
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.18632/aging.204564
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
PMC10008491
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE10540
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=GSE10540
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE10540
version
null
note
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 10 items
[0]
GSM266121
[1]
GSM266124
[2]
GSM266127
[3]
GSM266128
[4]
GSM266129
[5]
GSM266136
[6]
GSM266137
[7]
GSM266138
[8]
GSM266139
[9]
GSM266310
sample_count
10
group_sizes
null
group_sizes_basis
null
platform
2986
taxon
Homo sapiens
title
Transcriptional changes in blood from metabolic syndrome patients after a period of high intensity interval training
resolution_checked_at
2026-11-01T18:46:34Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE140082
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=GSE140082
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE140082
version
null
note
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 380 items
[0]
GSM4153778
[1]
GSM4153779
[2]
GSM4153780
[3]
GSM4153781
[4]
GSM4153782
[5]
GSM4153783
[6]
GSM4153784
[7]
GSM4153785
[8]
GSM4153786
[9]
GSM4153787
[10]
GSM4153788
[11]
GSM4153789
[12]
GSM4153790
[13]
GSM4153791
[14]
GSM4153792
[15]
GSM4153793
[16]
GSM4153794
[17]
GSM4153795
[18]
GSM4153796
[19]
GSM4153797
[20]
GSM4153798
[21]
GSM4153799
[22]
GSM4153800
[23]
GSM4153801
[24]
GSM4153802
[25]
GSM4153803
[26]
GSM4153804
[27]
GSM4153805
[28]
GSM4153806
[29]
GSM4153807
[30]
GSM4153808
[31]
GSM4153809
[32]
GSM4153810
[33]
GSM4153811
[34]
GSM4153812
[35]
GSM4153813
[36]
GSM4153814
[37]
GSM4153815
[38]
GSM4153816
[39]
GSM4153817
[40]
GSM4153818
[41]
GSM4153819
[42]
GSM4153820
[43]
GSM4153821
[44]
GSM4153822
[45]
GSM4153823
[46]
GSM4153824
[47]
GSM4153825
[48]
GSM4153826
[49]
GSM4153827
[50]
GSM4153828
[51]
GSM4153829
[52]
GSM4153830
[53]
GSM4153831
[54]
GSM4153832
[55]
GSM4153833
[56]
GSM4153834
[57]
GSM4153835
[58]
GSM4153836
[59]
GSM4153837
[60]
GSM4153838
[61]
GSM4153839
[62]
GSM4153840
[63]
GSM4153841
[64]
GSM4153842
[65]
GSM4153843
[66]
GSM4153844
[67]
GSM4153845
[68]
GSM4153846
[69]
GSM4153847
[70]
GSM4153848
[71]
GSM4153849
[72]
GSM4153850
[73]
GSM4153851
[74]
GSM4153852
[75]
GSM4153853
[76]
GSM4153854
[77]
GSM4153855
[78]
GSM4153856
[79]
GSM4153857
[80]
GSM4153858
[81]
GSM4153859
[82]
GSM4153860
[83]
GSM4153861
[84]
GSM4153862
[85]
GSM4153863
[86]
GSM4153864
[87]
GSM4153865
[88]
GSM4153866
[89]
GSM4153867
[90]
GSM4153868
[91]
GSM4153869
[92]
GSM4153870
[93]
GSM4153871
[94]
GSM4153872
[95]
GSM4153873
[96]
GSM4153874
[97]
GSM4153875
[98]
GSM4153876
[99]
GSM4153877
[100]
GSM4153878
[101]
GSM4153879
[102]
GSM4153880
[103]
GSM4153881
[104]
GSM4153882
[105]
GSM4153883
[106]
GSM4153884
[107]
GSM4153885
[108]
GSM4153886
[109]
GSM4153887
[110]
GSM4153888
[111]
GSM4153889
[112]
GSM4153890
[113]
GSM4153891
[114]
GSM4153892
[115]
GSM4153893
[116]
GSM4153894
[117]
GSM4153895
[118]
GSM4153896
[119]
GSM4153897
[120]
GSM4153898
[121]
GSM4153899
[122]
GSM4153900
[123]
GSM4153901
[124]
GSM4153902
[125]
GSM4153903
[126]
GSM4153904
[127]
GSM4153905
[128]
GSM4153906
[129]
GSM4153907
[130]
GSM4153908
[131]
GSM4153909
[132]
GSM4153910
[133]
GSM4153911
[134]
GSM4153912
[135]
GSM4153913
[136]
GSM4153914
[137]
GSM4153915
[138]
GSM4153916
[139]
GSM4153917
[140]
GSM4153918
[141]
GSM4153919
[142]
GSM4153920
[143]
GSM4153921
[144]
GSM4153922
[145]
GSM4153923
[146]
GSM4153924
[147]
GSM4153925
[148]
GSM4153926
[149]
GSM4153927
[150]
GSM4153928
[151]
GSM4153929
[152]
GSM4153930
[153]
GSM4153931
[154]
GSM4153932
[155]
GSM4153933
[156]
GSM4153934
[157]
GSM4153935
[158]
GSM4153936
[159]
GSM4153937
[160]
GSM4153938
[161]
GSM4153939
[162]
GSM4153940
[163]
GSM4153941
[164]
GSM4153942
[165]
GSM4153943
[166]
GSM4153944
[167]
GSM4153945
[168]
GSM4153946
[169]
GSM4153947
[170]
GSM4153948
[171]
GSM4153949
[172]
GSM4153950
[173]
GSM4153951
[174]
GSM4153952
[175]
GSM4153953
[176]
GSM4153954
[177]
GSM4153955
[178]
GSM4153956
[179]
GSM4153957
[180]
GSM4153958
[181]
GSM4153959
[182]
GSM4153960
[183]
GSM4153961
[184]
GSM4153962
[185]
GSM4153963
[186]
GSM4153964
[187]
GSM4153965
[188]
GSM4153966
[189]
GSM4153967
[190]
GSM4153968
[191]
GSM4153969
[192]
GSM4153970
[193]
GSM4153971
[194]
GSM4153972
[195]
GSM4153973
[196]
GSM4153974
[197]
GSM4153975
[198]
GSM4153976
[199]
GSM4153977
[200]
GSM4153978
[201]
GSM4153979
[202]
GSM4153980
[203]
GSM4153981
[204]
GSM4153982
[205]
GSM4153983
[206]
GSM4153984
[207]
GSM4153985
[208]
GSM4153986
[209]
GSM4153987
[210]
GSM4153988
[211]
GSM4153989
[212]
GSM4153990
[213]
GSM4153991
[214]
GSM4153992
[215]
GSM4153993
[216]
GSM4153994
[217]
GSM4153995
[218]
GSM4153996
[219]
GSM4153997
[220]
GSM4153998
[221]
GSM4153999
[222]
GSM4154000
[223]
GSM4154001
[224]
GSM4154002
[225]
GSM4154003
[226]
GSM4154004
[227]
GSM4154005
[228]
GSM4154006
[229]
GSM4154007
[230]
GSM4154008
[231]
GSM4154009
[232]
GSM4154010
[233]
GSM4154011
[234]
GSM4154012
[235]
GSM4154013
[236]
GSM4154014
[237]
GSM4154015
[238]
GSM4154016
[239]
GSM4154017
[240]
GSM4154018
[241]
GSM4154019
[242]
GSM4154020
[243]
GSM4154021
[244]
GSM4154022
[245]
GSM4154023
[246]
GSM4154024
[247]
GSM4154025
[248]
GSM4154026
[249]
GSM4154027
[250]
GSM4154028
[251]
GSM4154029
[252]
GSM4154030
[253]
GSM4154031
[254]
GSM4154032
[255]
GSM4154033
[256]
GSM4154034
[257]
GSM4154035
[258]
GSM4154036
[259]
GSM4154037
[260]
GSM4154038
[261]
GSM4154039
[262]
GSM4154040
[263]
GSM4154041
[264]
GSM4154042
[265]
GSM4154043
[266]
GSM4154044
[267]
GSM4154045
[268]
GSM4154046
[269]
GSM4154047
[270]
GSM4154048
[271]
GSM4154049
[272]
GSM4154050
[273]
GSM4154051
[274]
GSM4154052
[275]
GSM4154053
[276]
GSM4154054
[277]
GSM4154055
[278]
GSM4154056
[279]
GSM4154057
[280]
GSM4154058
[281]
GSM4154059
[282]
GSM4154060
[283]
GSM4154061
[284]
GSM4154062
[285]
GSM4154063
[286]
GSM4154064
[287]
GSM4154065
[288]
GSM4154066
[289]
GSM4154067
[290]
GSM4154068
[291]
GSM4154069
[292]
GSM4154070
[293]
GSM4154071
[294]
GSM4154072
[295]
GSM4154073
[296]
GSM4154074
[297]
GSM4154075
[298]
GSM4154076
[299]
GSM4154077
[300]
GSM4154078
[301]
GSM4154079
[302]
GSM4154080
[303]
GSM4154081
[304]
GSM4154082
[305]
GSM4154083
[306]
GSM4154084
[307]
GSM4154085
[308]
GSM4154086
[309]
GSM4154087
[310]
GSM4154088
[311]
GSM4154089
[312]
GSM4154090
[313]
GSM4154091
[314]
GSM4154092
[315]
GSM4154093
[316]
GSM4154094
[317]
GSM4154095
[318]
GSM4154096
[319]
GSM4154097
[320]
GSM4154098
[321]
GSM4154099
[322]
GSM4154100
[323]
GSM4154101
[324]
GSM4154102
[325]
GSM4154103
[326]
GSM4154104
[327]
GSM4154105
[328]
GSM4154106
[329]
GSM4154107
[330]
GSM4154108
[331]
GSM4154109
[332]
GSM4154110
[333]
GSM4154111
[334]
GSM4154112
[335]
GSM4154113
[336]
GSM4154114
[337]
GSM4154115
[338]
GSM4154116
[339]
GSM4154117
[340]
GSM4154118
[341]
GSM4154119
[342]
GSM4154120
[343]
GSM4154121
[344]
GSM4154122
[345]
GSM4154123
[346]
GSM4154124
[347]
GSM4154125
[348]
GSM4154126
[349]
GSM4154127
[350]
GSM4154128
[351]
GSM4154129
[352]
GSM4154130
[353]
GSM4154131
[354]
GSM4154132
[355]
GSM4154133
[356]
GSM4154134
[357]
GSM4154135
[358]
GSM4154136
[359]
GSM4154137
[360]
GSM4154138
[361]
GSM4154139
[362]
GSM4154140
[363]
GSM4154141
[364]
GSM4154142
[365]
GSM4154143
[366]
GSM4154144
[367]
GSM4154145
[368]
GSM4154146
[369]
GSM4154147
[370]
GSM4154148
[371]
GSM4154149
[372]
GSM4154150
[373]
GSM4154151
[374]
GSM4154152
[375]
GSM4154153
[376]
GSM4154154
[377]
GSM4154155
[378]
GSM4154156
[379]
GSM4154157
sample_count
380
group_sizes
null
group_sizes_basis
null
platform
14951
taxon
Homo sapiens
title
Bevacizumab may differentially improve ovarian cancer outcome in patients with proliferative and mesenchymal molecular subtypes
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE36668
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=GSE36668
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE36668
version
null
note
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 12 items
[0]
GSM898297
[1]
GSM898298
[2]
GSM898299
[3]
GSM898300
[4]
GSM898301
[5]
GSM898302
[6]
GSM898303
[7]
GSM898304
[8]
GSM898305
[9]
GSM898306
[10]
GSM898307
[11]
GSM898308
sample_count
12
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Expression data from serous ovarian carcinomas, serous ovarian borderline tumors and surface epithelium scrapings from normal ovaries
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:GSE69428
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=GSE69428
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE69428
version
null
note
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 29 items
[0]
GSM1701025
[1]
GSM1701026
[2]
GSM1701027
[3]
GSM1701028
[4]
GSM1701029
[5]
GSM1701030
[6]
GSM1701031
[7]
GSM1701032
[8]
GSM1701033
[9]
GSM1701034
[10]
GSM1701035
[11]
GSM1701036
[12]
GSM1701037
[13]
GSM1701038
[14]
GSM1701039
[15]
GSM1701040
[16]
GSM1701041
[17]
GSM1701042
[18]
GSM1701043
[19]
GSM1701044
[20]
GSM1701045
[21]
GSM1701046
[22]
GSM1701047
[23]
GSM1701048
[24]
GSM1701049
[25]
GSM1701050
[26]
GSM1701051
[27]
GSM1701052
[28]
GSM1701053
sample_count
29
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Transformation of Human Fallopian Tube Stem Cells and high grade serous ovarian cancer
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 8 items
[0]
asset:data:geo:GSE10540 not downloaded
[1]
asset:data:geo:GSE10540 licence not read
[2]
asset:data:geo:GSE140082 not downloaded
[3]
asset:data:geo:GSE140082 licence not read
[4]
asset:data:geo:GSE36668 not downloaded
[5]
asset:data:geo:GSE36668 licence not read
[6]
asset:data:geo:GSE69428 not downloaded
[7]
asset:data:geo:GSE69428 licence not read
analysis object · 4 fields
state
partial
methods array · 2 items
[0] object · 10 fields
id
method-1
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
[1] object · 10 fields
id
method-2
family
null
specific
null
label
maxstat and Survfit
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
We selected the ovarian cancer survival data from the dataset GSE140082, used R software package maxstat (version:0.7–25) to calculate optimal cut-off value of RiskScore of ten core genes, best cut-off value is calculated, Survfit function of the R package survival was further used to find prognostic differences.
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
build_graph
unit
p-value
tolerance
null
state
complete
note
The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
gaps array · 1 item
[0]
method.reader_named_unmapped
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 · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
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: ppi_network.
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 · 4 items
[0]
GSE36668
[1]
GSE69428
[2]
GSE140082
[3]
GSE10540
resolved_accessions array · 4 items
[0]
GSE36668
[1]
GSE69428
[2]
GSE140082
[3]
GSE10540
statements array · 1 item
[0]
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
basis
The paper names GSE36668, GSE69428, GSE140082, GSE10540 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 · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
assets array · 2 items
[0]
source:pmid:36849137
[1]
data:geo:GSE10540
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:GSE10540
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
2026-11-01T18:32:13Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
10659
completion_tokens
2134
cached_tokens
264
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:36849137
type
paper
label
pmid:36849137
[1] object · 3 fields
id
source:pmid:36849137
type
manuscript
label
PMID 36849137 full text
[2] object · 3 fields
id
data:geo:GSE10540
type
dataset
label
GEO GSE10540
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:36849137
type
paper
label
pmid:36849137
[1] object · 3 fields
id
source:pmid:36849137
type
manuscript
label
PMID 36849137 full text
[2] object · 3 fields
id
data:geo:GSE10540
type
dataset
label
GEO GSE10540
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-36849137
type
extraction
used array · 1 item
[0]
source:pmid:36849137
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE10540
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE10540
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:36849137
parent_hash
sha256:62573323a93afe42537253809f22c100ea74791055a30d821aeae526ac7ee51b
fork_of
null
gaps array · 13 items
[0]
asset:data:geo:GSE10540 licence not read
[1]
asset:data:geo:GSE10540 not downloaded
[2]
asset:data:geo:GSE140082 licence not read
[3]
asset:data:geo:GSE140082 not downloaded
[4]
asset:data:geo:GSE36668 licence not read
[5]
asset:data:geo:GSE36668 not downloaded
[6]
asset:data:geo:GSE69428 licence not read
[7]
asset:data:geo:GSE69428 not downloaded
[8]
execution.not_run
[9]
method.reader_named_unmapped
[10]
review.human_critique
[11]
review.independent_reader
[12]
review.machine_critique
assays array · 4 items
[0] object · 11 fields
role
data_generation
definition_id
apoptosis_assay
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]
Inhibition of apoptosis through AKT-mTOR pathway in ovarian cancer a
[1]
are lowly expressed in ovarian cancer, cell apoptosis is inhibited, leading to deterioration of ov
[2]
vival (P = 0.0021). CONCLUSION: TTK inhibits apoptosis through AKT-mTOR pathway, worsening ovarian
order_basis
paper_text_order:0
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
western_blot
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
sis were performed. Created animal model for western blot analysis. Gene Expression Profiling Interact
order_basis
paper_text_order:664
id
assay:2
[2] object · 11 fields
role
data_generation
definition_id
animal_model
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]
was injected into the fertilized egg of the mouse by microinjection method, and the fertilized
[1]
e then randomly numbered and grouped. Divide rats into 4 groups of 6 rats each. Group A: Con;
[2]
and grouped. Divide rats into 4 groups of 6 rats each. Group A: Con; Group B: OV; Group C: OV
order_basis
paper_text_order:1934
id
assay:3
[3] object · 11 fields
role
analysis
definition_id
network_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
protein-protein interaction
order_basis
consumes_earlier_output
id
assay:4
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36849137", "kind": "science-record", "revision": 3, "content_hash": "sha256:3d0927f5dd09b5c9787aa5fa6e8b44606d313163fedecf143311c472a95d2f98", "created_at": "2026-11-01T19:01:28Z", "updated_at": "2026-11-01T22:08:57Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Inhibition of apoptosis through AKT-mTOR pathway in ovarian cancer and renal cancer.", "doi": "10.18632/aging.204564", "pmid": "36849137", "authors": ["Hongrun Chen", "Lianfeng Zhang", "Meini Zuo", "Xiaowen Lou", "Bin Liu", "Taozhu Fu"], "journal": "Aging", "year": 2023, "abstract": "OBJECTIVE: Ovarian cancer and renal cancer are malignant tumors; however, the relationship between TTK Protein Kinase (TTK), AKT-mTOR pathway and ovarian cancer, renal cancer remains unclear.\nMETHODS: Download GSE36668 and GSE69428 from Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was performed. Created protein-protein interaction (PPI) network. Used Gene Ontology analysis (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) for functional enrichment analysis. Gene Set Enrichment Analysis (GSEA) analysis and survival analysis were performed. Created animal model for western blot analysis. Gene Expression Profiling Interactive Analysis (GEPIA) was performed to explore the role of TTK on the overall survival of renal cancer.\nRESULTS: GO showed that DEGs were enriched in anion and small molecule binding, and DNA methylation. KEGG analysis presented that they mostly enriched in cholesterol metabolism, type 1 diabetes, sphingolipid metabolism, ABC transporters, etc., TTK, mTOR, p-mTOR, AKT, p-AKT, 4EBP1, p-4EBP1 and Bcl-2 are highly expressed in ovarian cancer, Bax, Caspase3 are lowly expressed in ovarian cancer, cell apoptosis is inhibited, leading to deterioration of ovarian cancer. Furthermore, the TTK was not only the hub biomarker of ovarian cancer, but also one significant hub gene of renal cancer, and its expression was up-regulated in the renal cancer. Compared with the renal cancer patients with low expression of TTK, the patients with high expression of TTK have the poor overall survival (P = 0.0021).\nCONCLUSION: TTK inhibits apoptosis through AKT-mTOR pathway, worsening ovarian cancer. And TTK was also one significant hub biomarker of renal cancer.", "claims": [{"id": "claim-method", "statement": "We selected the ovarian cancer survival data from the dataset GSE140082, used R software package maxstat (version:0.7–25) to calculate optimal cut-off value of RiskScore of ten core genes, best cut-off value is calculated, Survfit function of the R package survival was further used to find prognostic differences.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36849137", "locator": "sections[11] \"Survival analysis\" paragraph 2", "quote": "We selected the ovarian cancer survival data from the dataset GSE140082, used R software package maxstat (version:0.7–25) to calculate optimal cut-off value of RiskScore of ten core genes, best cut-off value is calculated, Survfit function of the R package survival was further used to find prognostic differences."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36849137", "locator": "sections[15] \"Data availability\" paragraph 2", "quote": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Renal cancer patients with high TTK expression had poorer overall survival than patients with low TTK expression (P = 0.0021).", "kind": "quantitative", "target": {"value": 0.0021, "unit": "p-value", "tolerance": null, "source": "Compared with the renal cancer patients with low expression of TTK, the patients with high expression of TTK have the poor overall survival (P = 0.0021)."}, "evidence": [{"asset": "source:pmid:36849137", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Compared with the renal cancer patients with low expression of TTK, the patients with high expression of TTK have the poor overall survival (P = 0.0021)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Renal cancer patients with high TTK expression had poorer overall survival than patients with low TTK expression (P = 0.0021).", "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:36849137"], "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:GSE10540"], "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:GSE10540"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36849137", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.18632/aging.204564", "sha256": "sha256:80dfdaee3d5c4f41c70ecd7d0246c0382111a1770bcc715d3a2857cca643082e", "bytes": 31358, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.18632/aging.204564", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10008491", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE10540", "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=GSE10540", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE10540", "version": null, "note": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM266121", "GSM266124", "GSM266127", "GSM266128", "GSM266129", "GSM266136", "GSM266137", "GSM266138", "GSM266139", "GSM266310"], "sample_count": 10, "group_sizes": null, "group_sizes_basis": null, "platform": "2986", "taxon": "Homo sapiens", "title": "Transcriptional changes in blood from metabolic syndrome patients after a period of high intensity interval training", "resolution_checked_at": "2026-11-01T18:46:34Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE140082", "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=GSE140082", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE140082", "version": null, "note": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM4153778", "GSM4153779", "GSM4153780", "GSM4153781", "GSM4153782", "GSM4153783", "GSM4153784", "GSM4153785", "GSM4153786", "GSM4153787", "GSM4153788", "GSM4153789", "GSM4153790", "GSM4153791", "GSM4153792", "GSM4153793", "GSM4153794", "GSM4153795", "GSM4153796", "GSM4153797", "GSM4153798", "GSM4153799", "GSM4153800", "GSM4153801", "GSM4153802", "GSM4153803", "GSM4153804", "GSM4153805", "GSM4153806", "GSM4153807", "GSM4153808", "GSM4153809", "GSM4153810", "GSM4153811", "GSM4153812", "GSM4153813", "GSM4153814", "GSM4153815", "GSM4153816", "GSM4153817", "GSM4153818", "GSM4153819", "GSM4153820", "GSM4153821", "GSM4153822", "GSM4153823", "GSM4153824", "GSM4153825", "GSM4153826", "GSM4153827", "GSM4153828", "GSM4153829", "GSM4153830", "GSM4153831", "GSM4153832", "GSM4153833", "GSM4153834", "GSM4153835", "GSM4153836", "GSM4153837", "GSM4153838", "GSM4153839", "GSM4153840", "GSM4153841", "GSM4153842", "GSM4153843", "GSM4153844", "GSM4153845", "GSM4153846", "GSM4153847", "GSM4153848", "GSM4153849", "GSM4153850", "GSM4153851", "GSM4153852", "GSM4153853", "GSM4153854", "GSM4153855", "GSM4153856", "GSM4153857", "GSM4153858", "GSM4153859", "GSM4153860", "GSM4153861", "GSM4153862", "GSM4153863", "GSM4153864", "GSM4153865", "GSM4153866", "GSM4153867", "GSM4153868", "GSM4153869", "GSM4153870", "GSM4153871", "GSM4153872", "GSM4153873", "GSM4153874", "GSM4153875", "GSM4153876", "GSM4153877", "GSM4153878", "GSM4153879", "GSM4153880", "GSM4153881", "GSM4153882", "GSM4153883", "GSM4153884", "GSM4153885", "GSM4153886", "GSM4153887", "GSM4153888", "GSM4153889", "GSM4153890", "GSM4153891", "GSM4153892", "GSM4153893", "GSM4153894", "GSM4153895", "GSM4153896", "GSM4153897", "GSM4153898", "GSM4153899", "GSM4153900", "GSM4153901", "GSM4153902", "GSM4153903", "GSM4153904", "GSM4153905", "GSM4153906", "GSM4153907", "GSM4153908", "GSM4153909", "GSM4153910", "GSM4153911", "GSM4153912", "GSM4153913", "GSM4153914", "GSM4153915", "GSM4153916", "GSM4153917", "GSM4153918", "GSM4153919", "GSM4153920", "GSM4153921", "GSM4153922", "GSM4153923", "GSM4153924", "GSM4153925", "GSM4153926", "GSM4153927", "GSM4153928", "GSM4153929", "GSM4153930", "GSM4153931", "GSM4153932", "GSM4153933", "GSM4153934", "GSM4153935", "GSM4153936", "GSM4153937", "GSM4153938", "GSM4153939", "GSM4153940", "GSM4153941", "GSM4153942", "GSM4153943", "GSM4153944", "GSM4153945", "GSM4153946", "GSM4153947", "GSM4153948", "GSM4153949", "GSM4153950", "GSM4153951", "GSM4153952", "GSM4153953", "GSM4153954", "GSM4153955", "GSM4153956", "GSM4153957", "GSM4153958", "GSM4153959", "GSM4153960", "GSM4153961", "GSM4153962", "GSM4153963", "GSM4153964", "GSM4153965", "GSM4153966", "GSM4153967", "GSM4153968", "GSM4153969", "GSM4153970", "GSM4153971", "GSM4153972", "GSM4153973", "GSM4153974", "GSM4153975", "GSM4153976", "GSM4153977", "GSM4153978", "GSM4153979", "GSM4153980", "GSM4153981", "GSM4153982", "GSM4153983", "GSM4153984", "GSM4153985", "GSM4153986", "GSM4153987", "GSM4153988", "GSM4153989", "GSM4153990", "GSM4153991", "GSM4153992", "GSM4153993", "GSM4153994", "GSM4153995", "GSM4153996", "GSM4153997", "GSM4153998", "GSM4153999", "GSM4154000", "GSM4154001", "GSM4154002", "GSM4154003", "GSM4154004", "GSM4154005", "GSM4154006", "GSM4154007", "GSM4154008", "GSM4154009", "GSM4154010", "GSM4154011", "GSM4154012", "GSM4154013", "GSM4154014", "GSM4154015", "GSM4154016", "GSM4154017", "GSM4154018", "GSM4154019", "GSM4154020", "GSM4154021", "GSM4154022", "GSM4154023", "GSM4154024", "GSM4154025", "GSM4154026", "GSM4154027", "GSM4154028", "GSM4154029", "GSM4154030", "GSM4154031", "GSM4154032", "GSM4154033", "GSM4154034", "GSM4154035", "GSM4154036", "GSM4154037", "GSM4154038", "GSM4154039", "GSM4154040", "GSM4154041", "GSM4154042", "GSM4154043", "GSM4154044", "GSM4154045", "GSM4154046", "GSM4154047", "GSM4154048", "GSM4154049", "GSM4154050", "GSM4154051", "GSM4154052", "GSM4154053", "GSM4154054", "GSM4154055", "GSM4154056", "GSM4154057", "GSM4154058", "GSM4154059", "GSM4154060", "GSM4154061", "GSM4154062", "GSM4154063", "GSM4154064", "GSM4154065", "GSM4154066", "GSM4154067", "GSM4154068", "GSM4154069", "GSM4154070", "GSM4154071", "GSM4154072", "GSM4154073", "GSM4154074", "GSM4154075", "GSM4154076", "GSM4154077", "GSM4154078", "GSM4154079", "GSM4154080", "GSM4154081", "GSM4154082", "GSM4154083", "GSM4154084", "GSM4154085", "GSM4154086", "GSM4154087", "GSM4154088", "GSM4154089", "GSM4154090", "GSM4154091", "GSM4154092", "GSM4154093", "GSM4154094", "GSM4154095", "GSM4154096", "GSM4154097", "GSM4154098", "GSM4154099", "GSM4154100", "GSM4154101", "GSM4154102", "GSM4154103", "GSM4154104", "GSM4154105", "GSM4154106", "GSM4154107", "GSM4154108", "GSM4154109", "GSM4154110", "GSM4154111", "GSM4154112", "GSM4154113", "GSM4154114", "GSM4154115", "GSM4154116", "GSM4154117", "GSM4154118", "GSM4154119", "GSM4154120", "GSM4154121", "GSM4154122", "GSM4154123", "GSM4154124", "GSM4154125", "GSM4154126", "GSM4154127", "GSM4154128", "GSM4154129", "GSM4154130", "GSM4154131", "GSM4154132", "GSM4154133", "GSM4154134", "GSM4154135", "GSM4154136", "GSM4154137", "GSM4154138", "GSM4154139", "GSM4154140", "GSM4154141", "GSM4154142", "GSM4154143", "GSM4154144", "GSM4154145", "GSM4154146", "GSM4154147", "GSM4154148", "GSM4154149", "GSM4154150", "GSM4154151", "GSM4154152", "GSM4154153", "GSM4154154", "GSM4154155", "GSM4154156", "GSM4154157"], "sample_count": 380, "group_sizes": null, "group_sizes_basis": null, "platform": "14951", "taxon": "Homo sapiens", "title": "Bevacizumab may differentially improve ovarian cancer outcome in patients with proliferative and mesenchymal molecular subtypes", "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:GSE36668", "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=GSE36668", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE36668", "version": null, "note": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM898297", "GSM898298", "GSM898299", "GSM898300", "GSM898301", "GSM898302", "GSM898303", "GSM898304", "GSM898305", "GSM898306", "GSM898307", "GSM898308"], "sample_count": 12, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Expression data from serous ovarian carcinomas, serous ovarian borderline tumors and surface epithelium scrapings from normal ovaries", "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:GSE69428", "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=GSE69428", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE69428", "version": null, "note": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1701025", "GSM1701026", "GSM1701027", "GSM1701028", "GSM1701029", "GSM1701030", "GSM1701031", "GSM1701032", "GSM1701033", "GSM1701034", "GSM1701035", "GSM1701036", "GSM1701037", "GSM1701038", "GSM1701039", "GSM1701040", "GSM1701041", "GSM1701042", "GSM1701043", "GSM1701044", "GSM1701045", "GSM1701046", "GSM1701047", "GSM1701048", "GSM1701049", "GSM1701050", "GSM1701051", "GSM1701052", "GSM1701053"], "sample_count": 29, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Transformation of Human Fallopian Tube Stem Cells and high grade serous ovarian cancer", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE10540 not downloaded", "asset:data:geo:GSE10540 licence not read", "asset:data:geo:GSE140082 not downloaded", "asset:data:geo:GSE140082 licence not read", "asset:data:geo:GSE36668 not downloaded", "asset:data:geo:GSE36668 licence not read", "asset:data:geo:GSE69428 not downloaded", "asset:data:geo:GSE69428 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "protein-protein interaction"}}, {"id": "method-2", "family": null, "specific": null, "label": "maxstat and Survfit", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "We selected the ovarian cancer survival data from the dataset GSE140082, used R software package maxstat (version:0.7–25) to calculate optimal cut-off value of RiskScore of ten core genes, best cut-off value is calculated, Survfit function of the R package survival was further used to find prognostic differences."}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "build_graph", "expected_value": 0.0021, "unit": "p-value", "tolerance": null, "state": "complete", "note": "The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold."}], "gaps": ["method.reader_named_unmapped"]}, "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": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ppi_network."}, "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": ["GSE36668", "GSE69428", "GSE140082", "GSE10540"], "resolved_accessions": ["GSE36668", "GSE69428", "GSE140082", "GSE10540"], "statements": ["The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request."], "basis": "The paper names GSE36668, GSE69428, GSE140082, GSE10540 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": ["build_graph", "centrality_scores", "pathway_enrich"], "assets": ["source:pmid:36849137", "data:geo:GSE10540"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE10540"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:32:13Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 10659, "completion_tokens": 2134, "cached_tokens": 264}}, "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:36849137", "type": "paper", "label": "pmid:36849137"}, {"id": "source:pmid:36849137", "type": "manuscript", "label": "PMID 36849137 full text"}, {"id": "data:geo:GSE10540", "type": "dataset", "label": "GEO GSE10540"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:36849137", "type": "paper", "label": "pmid:36849137"}, {"id": "source:pmid:36849137", "type": "manuscript", "label": "PMID 36849137 full text"}, {"id": "data:geo:GSE10540", "type": "dataset", "label": "GEO GSE10540"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-36849137", "type": "extraction", "used": ["source:pmid:36849137"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE10540", "type": "accession_resolution", "used": ["data:geo:GSE10540"], "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:36849137", "parent_hash": "sha256:62573323a93afe42537253809f22c100ea74791055a30d821aeae526ac7ee51b", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE10540 licence not read", "asset:data:geo:GSE10540 not downloaded", "asset:data:geo:GSE140082 licence not read", "asset:data:geo:GSE140082 not downloaded", "asset:data:geo:GSE36668 licence not read", "asset:data:geo:GSE36668 not downloaded", "asset:data:geo:GSE69428 licence not read", "asset:data:geo:GSE69428 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["Inhibition of apoptosis through AKT-mTOR pathway in ovarian cancer a", "are lowly expressed in ovarian cancer, cell apoptosis is inhibited, leading to deterioration of ov", "vival (P = 0.0021). CONCLUSION: TTK inhibits apoptosis through AKT-mTOR pathway, worsening ovarian"], "order_basis": "paper_text_order:0", "id": "assay:1"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["sis were performed. Created animal model for western blot analysis. Gene Expression Profiling Interact"], "order_basis": "paper_text_order:664", "id": "assay:2"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["was injected into the fertilized egg of the mouse by microinjection method, and the fertilized", "e then randomly numbered and grouped. Divide rats into 4 groups of 6 rats each. Group A: Con;", "and grouped. Divide rats into 4 groups of 6 rats each. Group A: Con; Group B: OV; Group C: OV"], "order_basis": "paper_text_order:1934", "id": "assay:3"}, {"role": "analysis", "definition_id": "network_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["protein-protein interaction"], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}