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

pmid:35303800

Bioinformatical analysis of the key differentially expressed genes and associations with immune cell infiltration in development of endometriosis.

Shengnan Chen · Xiaoshan Chai · Xianqing Wu

BMC genomic data · 2022 doi:10.1186/s12863-022-01036-y

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

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:35303800
kind
science-record
content_hash
sha256:ac570ed8c376967d3cf82f4cdd9be4124c200e5c4f71f731797c0f071abaf4fd
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T18:14:06Z
updated_at
2026-11-01T22:06:08Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Bioinformatical analysis of the key differentially expressed genes and associations with immune cell infiltration in development of endometriosis.
doi
10.1186/s12863-022-01036-y
pmid
35303800
authors array · 3 items
[0]
Shengnan Chen
[1]
Xiaoshan Chai
[2]
Xianqing Wu
journal
BMC genomic data
year
2022
abstract
BACKGROUND: This study explored the key genes related to immune cell infiltration in endometriosis. RESULTS: The Gene Expression Omnibus (GEO) datasets (GSE7305, GSE7307, and GSE11691), containing a total of 37 endometriosis and 42 normal tissues, were retrieved and analyzed to determine the differentially expressed genes (DEGs). Gene ontology (GO) annotations and Kyoto Encyclopedia of Genes (KEGG) analysis were performed to identify the pathways that were significantly enriched. The xCell software was used to analyze immune cell infiltration and correlation analyses were performed to uncover the relationship between key genes and immune cells. The analysis identified 1031 DEGs (581 upregulated and 450 downregulated DEGs), while GO analysis revealed altered extracellular matrix organization, collagen-containing extracellular matrix, and glycosaminoglycan binding and KEGG enrichment showed genes related to metabolic pathways, pathways in cancer, phosphatidylinositol 3-kinase-protein kinase B (PI3K-Akt) signaling, proteoglycans in cancer, and the mitogen-activated protein kinase (MAPK) signaling pathway. Furthermore, the protein-protein interaction network revealed 10 hub genes, i.e., IL6, FN1, CDH1, CXCL8, IGF1, CDK1, PTPRC, CCNB1, MKI67, and ESR1. The xCell analysis identified immune cells with significant changes in all three datasets, including CD4+ and CD8+ T cells, CD8+ Tem, eosinophils, monocytes, Th1 cells, memory B-cells, activated dendritic cells (aDCs), and plasmacytoid dendritic cells (pDCs). These 10 hub genes were significantly associated with at least three types of immune cells. CONCLUSIONS: Aberrant gene expression was related to abnormal infiltration of different immune cells in endometriosis and was associated with endometriosis development by affecting the tissue microenvironment and growth of ectopic endometrial cells.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The Pearson correlation test was employed to analyze the hub genes in the infiltrating immune cells in endometriosis using the R package and the resulting data were visualized using the "ggplot" package.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35303800
locator
sections[17] "Association of the hub genes with infiltrating immune cells" paragraph 2
quote
The Pearson correlation test was employed to analyze the hub genes in the infiltrating immune cells in endometriosis using the R package and the resulting data were visualized using the "ggplot" package.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35303800
locator
sections[23] "Availability of data and materials" paragraph 2
quote
Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
The analysis identified 1031 DEGs and revealed that 10 hub genes were significantly associated with at least three immune-cell types whose infiltration was significantly higher in endometriosis than in normal endometrium.
kind
qualitative
target
null
evidence array · 2 items
[0] object · 3 fields
asset
source:pmid:35303800
locator
sections[0] "Abstract" paragraph 2
quote
The analysis identified 1031 DEGs (581 upregulated and 450 downregulated DEGs), while GO analysis revealed altered extracellular matrix organization, collagen-containing extracellular matrix, and glycosaminoglycan binding and KEGG enrichment showed genes related to metabolic pathways, pathways in cancer, phosphatidylinositol 3-kinase-protein kinase B (PI3K-Akt) signaling, proteoglycans in cancer, and the mitogen-activated protein kinase (MAPK) signaling pathway.
[1] object · 3 fields
asset
source:pmid:35303800
locator
sections[0] "Abstract" paragraph 2
quote
These 10 hub genes were significantly associated with at least three types of immune cells.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
The analysis identified 1031 DEGs and revealed that 10 hub genes were significantly associated with at least three immune-cell types whose infiltration was significantly higher in endometriosis than in normal endometrium.
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:35303800
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:GSE11691
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:GSE11691
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 · 4 items
[0] object · 15 fields
id
source:pmid:35303800
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1186/s12863-022-01036-y
sha256
sha256:0d6067b18b4a197bcc39a76dd79c2ca2ea23dd6aa0689ee4095d36e9a84e9e40
bytes
49261
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1186/s12863-022-01036-y
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
PMC8932180
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE11691
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=GSE11691
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE11691
version
null
note
Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.
access_statement_kind
data_availability_statement
sample_accessions array · 18 items
[0]
GSM296875
[1]
GSM296876
[2]
GSM296877
[3]
GSM296878
[4]
GSM296879
[5]
GSM296880
[6]
GSM296881
[7]
GSM296882
[8]
GSM296883
[9]
GSM296884
[10]
GSM296885
[11]
GSM296886
[12]
GSM296887
[13]
GSM296888
[14]
GSM296889
[15]
GSM296890
[16]
GSM296891
[17]
GSM296892
sample_count
18
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Euctopic and ectopic human endometrium (endometriosis)
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:GSE7305
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=GSE7305
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE7305
version
null
note
Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.
access_statement_kind
data_availability_statement
sample_accessions array · 20 items
[0]
GSM175766
[1]
GSM175767
[2]
GSM175768
[3]
GSM175769
[4]
GSM175770
[5]
GSM175771
[6]
GSM175772
[7]
GSM175773
[8]
GSM175774
[9]
GSM175775
[10]
GSM175776
[11]
GSM175777
[12]
GSM175778
[13]
GSM175779
[14]
GSM175780
[15]
GSM175781
[16]
GSM175782
[17]
GSM175783
[18]
GSM175784
[19]
GSM175785
sample_count
20
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Human endometriosis vs normal endometrium study - transcriptional profiling
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE7307
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=GSE7307
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE7307
version
null
note
Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.
access_statement_kind
data_availability_statement
sample_accessions array · 677 items
[0]
GSM175786
[1]
GSM175787
[2]
GSM175788
[3]
GSM175789
[4]
GSM175790
[5]
GSM175791
[6]
GSM175792
[7]
GSM175793
[8]
GSM175794
[9]
GSM175795
[10]
GSM175796
[11]
GSM175797
[12]
GSM175798
[13]
GSM175799
[14]
GSM175800
[15]
GSM175801
[16]
GSM175802
[17]
GSM175803
[18]
GSM175804
[19]
GSM175805
[20]
GSM175806
[21]
GSM175807
[22]
GSM175808
[23]
GSM175809
[24]
GSM175810
[25]
GSM175811
[26]
GSM175812
[27]
GSM175813
[28]
GSM175814
[29]
GSM175815
[30]
GSM175816
[31]
GSM175817
[32]
GSM175818
[33]
GSM175819
[34]
GSM175820
[35]
GSM175821
[36]
GSM175822
[37]
GSM175823
[38]
GSM175824
[39]
GSM175825
[40]
GSM175826
[41]
GSM175827
[42]
GSM175828
[43]
GSM175829
[44]
GSM175830
[45]
GSM175831
[46]
GSM175832
[47]
GSM175833
[48]
GSM175834
[49]
GSM175835
[50]
GSM175836
[51]
GSM175837
[52]
GSM175838
[53]
GSM175839
[54]
GSM175840
[55]
GSM175841
[56]
GSM175842
[57]
GSM175843
[58]
GSM175844
[59]
GSM175845
[60]
GSM175846
[61]
GSM175847
[62]
GSM175848
[63]
GSM175849
[64]
GSM175850
[65]
GSM175851
[66]
GSM175852
[67]
GSM175853
[68]
GSM175854
[69]
GSM175855
[70]
GSM175856
[71]
GSM175857
[72]
GSM175858
[73]
GSM175859
[74]
GSM175860
[75]
GSM175861
[76]
GSM175862
[77]
GSM175863
[78]
GSM175864
[79]
GSM175865
[80]
GSM175866
[81]
GSM175867
[82]
GSM175868
[83]
GSM175869
[84]
GSM175870
[85]
GSM175871
[86]
GSM175872
[87]
GSM175873
[88]
GSM175874
[89]
GSM175875
[90]
GSM175876
[91]
GSM175877
[92]
GSM175878
[93]
GSM175879
[94]
GSM175880
[95]
GSM175881
[96]
GSM175882
[97]
GSM175883
[98]
GSM175884
[99]
GSM175885
[100]
GSM175886
[101]
GSM175887
[102]
GSM175888
[103]
GSM175889
[104]
GSM175890
[105]
GSM175891
[106]
GSM175892
[107]
GSM175893
[108]
GSM175894
[109]
GSM175895
[110]
GSM175896
[111]
GSM175897
[112]
GSM175898
[113]
GSM175899
[114]
GSM175900
[115]
GSM175901
[116]
GSM175902
[117]
GSM175903
[118]
GSM175904
[119]
GSM175905
[120]
GSM175906
[121]
GSM175907
[122]
GSM175908
[123]
GSM175909
[124]
GSM175910
[125]
GSM175911
[126]
GSM175912
[127]
GSM175913
[128]
GSM175914
[129]
GSM175915
[130]
GSM175916
[131]
GSM175917
[132]
GSM175918
[133]
GSM175919
[134]
GSM175920
[135]
GSM175921
[136]
GSM175922
[137]
GSM175923
[138]
GSM175924
[139]
GSM175925
[140]
GSM175926
[141]
GSM175927
[142]
GSM175928
[143]
GSM175929
[144]
GSM175930
[145]
GSM175931
[146]
GSM175932
[147]
GSM175933
[148]
GSM175934
[149]
GSM175935
[150]
GSM175936
[151]
GSM175937
[152]
GSM175938
[153]
GSM175939
[154]
GSM175940
[155]
GSM175941
[156]
GSM175942
[157]
GSM175943
[158]
GSM175944
[159]
GSM175945
[160]
GSM175946
[161]
GSM175947
[162]
GSM175948
[163]
GSM175949
[164]
GSM175950
[165]
GSM175951
[166]
GSM175952
[167]
GSM175953
[168]
GSM175954
[169]
GSM175955
[170]
GSM175956
[171]
GSM175957
[172]
GSM175958
[173]
GSM175959
[174]
GSM175960
[175]
GSM175961
[176]
GSM175962
[177]
GSM175963
[178]
GSM175964
[179]
GSM175965
[180]
GSM175966
[181]
GSM175967
[182]
GSM175968
[183]
GSM175969
[184]
GSM175970
[185]
GSM175971
[186]
GSM175972
[187]
GSM175973
[188]
GSM175974
[189]
GSM175975
[190]
GSM175976
[191]
GSM175977
[192]
GSM175978
[193]
GSM175979
[194]
GSM175980
[195]
GSM175981
[196]
GSM175982
[197]
GSM175983
[198]
GSM175984
[199]
GSM175985
[200]
GSM175987
[201]
GSM175988
[202]
GSM175989
[203]
GSM175990
[204]
GSM175991
[205]
GSM175992
[206]
GSM175993
[207]
GSM175994
[208]
GSM175995
[209]
GSM175996
[210]
GSM175997
[211]
GSM175998
[212]
GSM175999
[213]
GSM176000
[214]
GSM176001
[215]
GSM176002
[216]
GSM176003
[217]
GSM176004
[218]
GSM176005
[219]
GSM176006
[220]
GSM176007
[221]
GSM176008
[222]
GSM176009
[223]
GSM176010
[224]
GSM176011
[225]
GSM176012
[226]
GSM176013
[227]
GSM176014
[228]
GSM176015
[229]
GSM176016
[230]
GSM176017
[231]
GSM176018
[232]
GSM176019
[233]
GSM176020
[234]
GSM176021
[235]
GSM176022
[236]
GSM176023
[237]
GSM176024
[238]
GSM176025
[239]
GSM176026
[240]
GSM176027
[241]
GSM176028
[242]
GSM176029
[243]
GSM176030
[244]
GSM176031
[245]
GSM176032
[246]
GSM176033
[247]
GSM176034
[248]
GSM176035
[249]
GSM176036
[250]
GSM176037
[251]
GSM176038
[252]
GSM176039
[253]
GSM176040
[254]
GSM176041
[255]
GSM176042
[256]
GSM176043
[257]
GSM176044
[258]
GSM176045
[259]
GSM176046
[260]
GSM176047
[261]
GSM176048
[262]
GSM176049
[263]
GSM176050
[264]
GSM176051
[265]
GSM176052
[266]
GSM176053
[267]
GSM176054
[268]
GSM176055
[269]
GSM176056
[270]
GSM176057
[271]
GSM176058
[272]
GSM176059
[273]
GSM176060
[274]
GSM176061
[275]
GSM176062
[276]
GSM176063
[277]
GSM176064
[278]
GSM176065
[279]
GSM176066
[280]
GSM176067
[281]
GSM176068
[282]
GSM176069
[283]
GSM176070
[284]
GSM176071
[285]
GSM176072
[286]
GSM176073
[287]
GSM176074
[288]
GSM176075
[289]
GSM176076
[290]
GSM176077
[291]
GSM176078
[292]
GSM176079
[293]
GSM176080
[294]
GSM176081
[295]
GSM176082
[296]
GSM176083
[297]
GSM176084
[298]
GSM176085
[299]
GSM176086
[300]
GSM176087
[301]
GSM176088
[302]
GSM176089
[303]
GSM176090
[304]
GSM176091
[305]
GSM176092
[306]
GSM176093
[307]
GSM176094
[308]
GSM176095
[309]
GSM176096
[310]
GSM176097
[311]
GSM176098
[312]
GSM176099
[313]
GSM176100
[314]
GSM176101
[315]
GSM176102
[316]
GSM176103
[317]
GSM176104
[318]
GSM176105
[319]
GSM176106
[320]
GSM176107
[321]
GSM176108
[322]
GSM176109
[323]
GSM176110
[324]
GSM176111
[325]
GSM176112
[326]
GSM176113
[327]
GSM176114
[328]
GSM176115
[329]
GSM176116
[330]
GSM176117
[331]
GSM176118
[332]
GSM176119
[333]
GSM176120
[334]
GSM176121
[335]
GSM176122
[336]
GSM176123
[337]
GSM176124
[338]
GSM176125
[339]
GSM176126
[340]
GSM176127
[341]
GSM176128
[342]
GSM176129
[343]
GSM176130
[344]
GSM176131
[345]
GSM176132
[346]
GSM176133
[347]
GSM176134
[348]
GSM176135
[349]
GSM176136
[350]
GSM176137
[351]
GSM176138
[352]
GSM176139
[353]
GSM176140
[354]
GSM176141
[355]
GSM176142
[356]
GSM176143
[357]
GSM176144
[358]
GSM176145
[359]
GSM176146
[360]
GSM176147
[361]
GSM176148
[362]
GSM176149
[363]
GSM176150
[364]
GSM176151
[365]
GSM176152
[366]
GSM176153
[367]
GSM176154
[368]
GSM176155
[369]
GSM176156
[370]
GSM176157
[371]
GSM176158
[372]
GSM176159
[373]
GSM176160
[374]
GSM176161
[375]
GSM176162
[376]
GSM176163
[377]
GSM176164
[378]
GSM176165
[379]
GSM176166
[380]
GSM176167
[381]
GSM176168
[382]
GSM176169
[383]
GSM176170
[384]
GSM176171
[385]
GSM176172
[386]
GSM176173
[387]
GSM176174
[388]
GSM176175
[389]
GSM176176
[390]
GSM176177
[391]
GSM176178
[392]
GSM176179
[393]
GSM176180
[394]
GSM176181
[395]
GSM176182
[396]
GSM176183
[397]
GSM176184
[398]
GSM176185
[399]
GSM176186
[400]
GSM176205
[401]
GSM176206
[402]
GSM176207
[403]
GSM176208
[404]
GSM176209
[405]
GSM176210
[406]
GSM176211
[407]
GSM176212
[408]
GSM176213
[409]
GSM176214
[410]
GSM176215
[411]
GSM176216
[412]
GSM176217
[413]
GSM176218
[414]
GSM176219
[415]
GSM176220
[416]
GSM176221
[417]
GSM176222
[418]
GSM176223
[419]
GSM176224
[420]
GSM176225
[421]
GSM176226
[422]
GSM176227
[423]
GSM176228
[424]
GSM176229
[425]
GSM176230
[426]
GSM176231
[427]
GSM176232
[428]
GSM176233
[429]
GSM176234
[430]
GSM176235
[431]
GSM176236
[432]
GSM176237
[433]
GSM176238
[434]
GSM176239
[435]
GSM176240
[436]
GSM176241
[437]
GSM176242
[438]
GSM176243
[439]
GSM176244
[440]
GSM176245
[441]
GSM176246
[442]
GSM176247
[443]
GSM176248
[444]
GSM176249
[445]
GSM176250
[446]
GSM176251
[447]
GSM176252
[448]
GSM176253
[449]
GSM176254
[450]
GSM176255
[451]
GSM176256
[452]
GSM176257
[453]
GSM176258
[454]
GSM176259
[455]
GSM176260
[456]
GSM176261
[457]
GSM176262
[458]
GSM176263
[459]
GSM176264
[460]
GSM176265
[461]
GSM176266
[462]
GSM176267
[463]
GSM176268
[464]
GSM176269
[465]
GSM176270
[466]
GSM176271
[467]
GSM176272
[468]
GSM176273
[469]
GSM176274
[470]
GSM176275
[471]
GSM176276
[472]
GSM176277
[473]
GSM176278
[474]
GSM176279
[475]
GSM176280
[476]
GSM176281
[477]
GSM176282
[478]
GSM176283
[479]
GSM176284
[480]
GSM176285
[481]
GSM176286
[482]
GSM176287
[483]
GSM176288
[484]
GSM176289
[485]
GSM176290
[486]
GSM176291
[487]
GSM176292
[488]
GSM176293
[489]
GSM176294
[490]
GSM176295
[491]
GSM176296
[492]
GSM176297
[493]
GSM176298
[494]
GSM176299
[495]
GSM176300
[496]
GSM176301
[497]
GSM176302
[498]
GSM176303
[499]
GSM176304
[500]
GSM176305
[501]
GSM176306
[502]
GSM176307
[503]
GSM176308
[504]
GSM176309
[505]
GSM176310
[506]
GSM176311
[507]
GSM176312
[508]
GSM176313
[509]
GSM176314
[510]
GSM176315
[511]
GSM176316
[512]
GSM176317
[513]
GSM176318
[514]
GSM176319
[515]
GSM176320
[516]
GSM176321
[517]
GSM176322
[518]
GSM176323
[519]
GSM176324
[520]
GSM176325
[521]
GSM176326
[522]
GSM176327
[523]
GSM176328
[524]
GSM176329
[525]
GSM176330
[526]
GSM176331
[527]
GSM176332
[528]
GSM176333
[529]
GSM176334
[530]
GSM176335
[531]
GSM176336
[532]
GSM176337
[533]
GSM176338
[534]
GSM176339
[535]
GSM176340
[536]
GSM176341
[537]
GSM176342
[538]
GSM176343
[539]
GSM176344
[540]
GSM176345
[541]
GSM176346
[542]
GSM176347
[543]
GSM176348
[544]
GSM176349
[545]
GSM176350
[546]
GSM176351
[547]
GSM176352
[548]
GSM176353
[549]
GSM176354
[550]
GSM176355
[551]
GSM176356
[552]
GSM176357
[553]
GSM176358
[554]
GSM176359
[555]
GSM176360
[556]
GSM176361
[557]
GSM176362
[558]
GSM176363
[559]
GSM176364
[560]
GSM176365
[561]
GSM176366
[562]
GSM176367
[563]
GSM176368
[564]
GSM176369
[565]
GSM176370
[566]
GSM176371
[567]
GSM176372
[568]
GSM176373
[569]
GSM176374
[570]
GSM176375
[571]
GSM176376
[572]
GSM176377
[573]
GSM176378
[574]
GSM176379
[575]
GSM176380
[576]
GSM176381
[577]
GSM176382
[578]
GSM176383
[579]
GSM176384
[580]
GSM176385
[581]
GSM176386
[582]
GSM176387
[583]
GSM176388
[584]
GSM176389
[585]
GSM176390
[586]
GSM176391
[587]
GSM176392
[588]
GSM176393
[589]
GSM176394
[590]
GSM176395
[591]
GSM176396
[592]
GSM176397
[593]
GSM176398
[594]
GSM176399
[595]
GSM176400
[596]
GSM176401
[597]
GSM176402
[598]
GSM176403
[599]
GSM176404
[600]
GSM176405
[601]
GSM176406
[602]
GSM176407
[603]
GSM176408
[604]
GSM176409
[605]
GSM176410
[606]
GSM176411
[607]
GSM176412
[608]
GSM176413
[609]
GSM176414
[610]
GSM176415
[611]
GSM176416
[612]
GSM176417
[613]
GSM176418
[614]
GSM176419
[615]
GSM176420
[616]
GSM176421
[617]
GSM176422
[618]
GSM176423
[619]
GSM176424
[620]
GSM176425
[621]
GSM176426
[622]
GSM176427
[623]
GSM176428
[624]
GSM176429
[625]
GSM176430
[626]
GSM176431
[627]
GSM176432
[628]
GSM176433
[629]
GSM176434
[630]
GSM176435
[631]
GSM176436
[632]
GSM176437
[633]
GSM176438
[634]
GSM176439
[635]
GSM176440
[636]
GSM176441
[637]
GSM176442
[638]
GSM176443
[639]
GSM176444
[640]
GSM176445
[641]
GSM176446
[642]
GSM176447
[643]
GSM176448
[644]
GSM176449
[645]
GSM176450
[646]
GSM176451
[647]
GSM176452
[648]
GSM176453
[649]
GSM176454
[650]
GSM176455
[651]
GSM176456
[652]
GSM176457
[653]
GSM176458
[654]
GSM176459
[655]
GSM176460
[656]
GSM176461
[657]
GSM176462
[658]
GSM176463
[659]
GSM176464
[660]
GSM176465
[661]
GSM176466
[662]
GSM176467
[663]
GSM176468
[664]
GSM176469
[665]
GSM176470
[666]
GSM176471
[667]
GSM176472
[668]
GSM176473
[669]
GSM176474
[670]
GSM176475
[671]
GSM176476
[672]
GSM176477
[673]
GSM176478
[674]
GSM176479
[675]
GSM176480
[676]
GSM176481
sample_count
677
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Human body index - transcriptional profiling
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 · 6 items
[0]
asset:data:geo:GSE11691 not downloaded
[1]
asset:data:geo:GSE11691 licence not read
[2]
asset:data:geo:GSE7305 not downloaded
[3]
asset:data:geo:GSE7305 licence not read
[4]
asset:data:geo:GSE7307 not downloaded
[5]
asset:data:geo:GSE7307 licence not read
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
family
correlation_analysis
specific
pearson
label
Correlation analysis
dsl_operations array · 1 item
[0]
pearson_r
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
1
band
verbatim
quote
The Pearson correlation test was employed to analyze the hub genes in the infiltrating immune cells in endometriosis using the R package and the resulting data were visualized using the "ggplot" package.
[1] object · 10 fields
id
method-2
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
[2] object · 10 fields
id
method-3
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
pathway enrichment
targets array · 0 items
gaps array · 0 items
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]
pearson_r
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: pearson.
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 · 3 items
[0]
GSE7305
[1]
GSE7307
[2]
GSE11691
resolved_accessions array · 3 items
[0]
GSE7305
[1]
GSE7307
[2]
GSE11691
statements array · 1 item
[0]
Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.
basis
The paper names GSE7305, GSE7307, GSE11691 in NCBI 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]
pearson_r
assets array · 2 items
[0]
source:pmid:35303800
[1]
data:geo:GSE11691
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:GSE11691
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
2026-11-01T17:38:34Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
14336
completion_tokens
1550
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:35303800
type
paper
label
pmid:35303800
[1] object · 3 fields
id
source:pmid:35303800
type
manuscript
label
PMID 35303800 full text
[2] object · 3 fields
id
data:geo:GSE11691
type
dataset
label
GEO GSE11691
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:35303800
type
paper
label
pmid:35303800
[1] object · 3 fields
id
source:pmid:35303800
type
manuscript
label
PMID 35303800 full text
[2] object · 3 fields
id
data:geo:GSE11691
type
dataset
label
GEO GSE11691
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-35303800
type
extraction
used array · 1 item
[0]
source:pmid:35303800
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE11691
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE11691
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:35303800
parent_hash
sha256:2a39cead3e62e93ff8b5815b33bea91771a57e31cc9c4a5fbf7e2d1a45386c31
fork_of
null
gaps array · 10 items
[0]
asset:data:geo:GSE11691 licence not read
[1]
asset:data:geo:GSE11691 not downloaded
[2]
asset:data:geo:GSE7305 licence not read
[3]
asset:data:geo:GSE7305 not downloaded
[4]
asset:data:geo:GSE7307 licence not read
[5]
asset:data:geo:GSE7307 not downloaded
[6]
execution.not_run
[7]
review.human_critique
[8]
review.independent_reader
[9]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
correlation_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
pearson_r
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The Pearson correlation test was employed to analyze the hub genes in the infiltrating immune cells in endometriosis using the R package and the resulting data were visualized using the "ggplot" package.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35303800", "kind": "science-record", "revision": 4, "content_hash": "sha256:ac570ed8c376967d3cf82f4cdd9be4124c200e5c4f71f731797c0f071abaf4fd", "created_at": "2026-11-01T18:14:06Z", "updated_at": "2026-11-01T22:06:08Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatical analysis of the key differentially expressed genes and associations with immune cell infiltration in development of endometriosis.", "doi": "10.1186/s12863-022-01036-y", "pmid": "35303800", "authors": ["Shengnan Chen", "Xiaoshan Chai", "Xianqing Wu"], "journal": "BMC genomic data", "year": 2022, "abstract": "BACKGROUND: This study explored the key genes related to immune cell infiltration in endometriosis.\nRESULTS: The Gene Expression Omnibus (GEO) datasets (GSE7305, GSE7307, and GSE11691), containing a total of 37 endometriosis and 42 normal tissues, were retrieved and analyzed to determine the differentially expressed genes (DEGs). Gene ontology (GO) annotations and Kyoto Encyclopedia of Genes (KEGG) analysis were performed to identify the pathways that were significantly enriched. The xCell software was used to analyze immune cell infiltration and correlation analyses were performed to uncover the relationship between key genes and immune cells. The analysis identified 1031 DEGs (581 upregulated and 450 downregulated DEGs), while GO analysis revealed altered extracellular matrix organization, collagen-containing extracellular matrix, and glycosaminoglycan binding and KEGG enrichment showed genes related to metabolic pathways, pathways in cancer, phosphatidylinositol 3-kinase-protein kinase B (PI3K-Akt) signaling, proteoglycans in cancer, and the mitogen-activated protein kinase (MAPK) signaling pathway. Furthermore, the protein-protein interaction network revealed 10 hub genes, i.e., IL6, FN1, CDH1, CXCL8, IGF1, CDK1, PTPRC, CCNB1, MKI67, and ESR1. The xCell analysis identified immune cells with significant changes in all three datasets, including CD4+ and CD8+ T cells, CD8+ Tem, eosinophils, monocytes, Th1 cells, memory B-cells, activated dendritic cells (aDCs), and plasmacytoid dendritic cells (pDCs). These 10 hub genes were significantly associated with at least three types of immune cells.\nCONCLUSIONS: Aberrant gene expression was related to abnormal infiltration of different immune cells in endometriosis and was associated with endometriosis development by affecting the tissue microenvironment and growth of ectopic endometrial cells.", "claims": [{"id": "claim-method", "statement": "The Pearson correlation test was employed to analyze the hub genes in the infiltrating immune cells in endometriosis using the R package and the resulting data were visualized using the \"ggplot\" package.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35303800", "locator": "sections[17] \"Association of the hub genes with infiltrating immune cells\" paragraph 2", "quote": "The Pearson correlation test was employed to analyze the hub genes in the infiltrating immune cells in endometriosis using the R package and the resulting data were visualized using the \"ggplot\" package."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35303800", "locator": "sections[23] \"Availability of data and materials\" paragraph 2", "quote": "Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The analysis identified 1031 DEGs and revealed that 10 hub genes were significantly associated with at least three immune-cell types whose infiltration was significantly higher in endometriosis than in normal endometrium.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35303800", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "The analysis identified 1031 DEGs (581 upregulated and 450 downregulated DEGs), while GO analysis revealed altered extracellular matrix organization, collagen-containing extracellular matrix, and glycosaminoglycan binding and KEGG enrichment showed genes related to metabolic pathways, pathways in cancer, phosphatidylinositol 3-kinase-protein kinase B (PI3K-Akt) signaling, proteoglycans in cancer, and the mitogen-activated protein kinase (MAPK) signaling pathway."}, {"asset": "source:pmid:35303800", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "These 10 hub genes were significantly associated with at least three types of immune cells."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The analysis identified 1031 DEGs and revealed that 10 hub genes were significantly associated with at least three immune-cell types whose infiltration was significantly higher in endometriosis than in normal endometrium.", "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:35303800"], "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:GSE11691"], "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:GSE11691"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35303800", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s12863-022-01036-y", "sha256": "sha256:0d6067b18b4a197bcc39a76dd79c2ca2ea23dd6aa0689ee4095d36e9a84e9e40", "bytes": 49261, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s12863-022-01036-y", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8932180", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE11691", "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=GSE11691", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE11691", "version": null, "note": "Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM296875", "GSM296876", "GSM296877", "GSM296878", "GSM296879", "GSM296880", "GSM296881", "GSM296882", "GSM296883", "GSM296884", "GSM296885", "GSM296886", "GSM296887", "GSM296888", "GSM296889", "GSM296890", "GSM296891", "GSM296892"], "sample_count": 18, "group_sizes": null, "group_sizes_basis": null, "platform": "96", "taxon": "Homo sapiens", "title": "Euctopic and ectopic human endometrium (endometriosis)", "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:GSE7305", "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=GSE7305", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE7305", "version": null, "note": "Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM175766", "GSM175767", "GSM175768", "GSM175769", "GSM175770", "GSM175771", "GSM175772", "GSM175773", "GSM175774", "GSM175775", "GSM175776", "GSM175777", "GSM175778", "GSM175779", "GSM175780", "GSM175781", "GSM175782", "GSM175783", "GSM175784", "GSM175785"], "sample_count": 20, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Human endometriosis vs normal endometrium study - transcriptional profiling", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE7307", "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=GSE7307", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE7307", "version": null, "note": "Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM175786", "GSM175787", "GSM175788", "GSM175789", "GSM175790", "GSM175791", "GSM175792", "GSM175793", "GSM175794", "GSM175795", "GSM175796", "GSM175797", "GSM175798", "GSM175799", "GSM175800", "GSM175801", "GSM175802", "GSM175803", "GSM175804", "GSM175805", "GSM175806", "GSM175807", "GSM175808", "GSM175809", "GSM175810", "GSM175811", "GSM175812", "GSM175813", "GSM175814", "GSM175815", "GSM175816", "GSM175817", "GSM175818", "GSM175819", "GSM175820", "GSM175821", "GSM175822", "GSM175823", "GSM175824", "GSM175825", "GSM175826", "GSM175827", "GSM175828", "GSM175829", "GSM175830", "GSM175831", "GSM175832", "GSM175833", "GSM175834", "GSM175835", "GSM175836", "GSM175837", "GSM175838", "GSM175839", "GSM175840", "GSM175841", "GSM175842", "GSM175843", "GSM175844", "GSM175845", "GSM175846", "GSM175847", "GSM175848", "GSM175849", "GSM175850", "GSM175851", "GSM175852", "GSM175853", "GSM175854", "GSM175855", "GSM175856", "GSM175857", "GSM175858", "GSM175859", "GSM175860", "GSM175861", "GSM175862", "GSM175863", "GSM175864", "GSM175865", "GSM175866", "GSM175867", "GSM175868", "GSM175869", "GSM175870", "GSM175871", "GSM175872", "GSM175873", "GSM175874", "GSM175875", "GSM175876", "GSM175877", "GSM175878", "GSM175879", "GSM175880", "GSM175881", "GSM175882", "GSM175883", "GSM175884", "GSM175885", "GSM175886", "GSM175887", "GSM175888", "GSM175889", "GSM175890", "GSM175891", "GSM175892", "GSM175893", "GSM175894", "GSM175895", "GSM175896", "GSM175897", "GSM175898", "GSM175899", "GSM175900", "GSM175901", "GSM175902", "GSM175903", "GSM175904", "GSM175905", "GSM175906", "GSM175907", "GSM175908", "GSM175909", "GSM175910", "GSM175911", "GSM175912", "GSM175913", "GSM175914", "GSM175915", "GSM175916", "GSM175917", "GSM175918", "GSM175919", "GSM175920", "GSM175921", "GSM175922", "GSM175923", "GSM175924", "GSM175925", "GSM175926", "GSM175927", "GSM175928", "GSM175929", "GSM175930", "GSM175931", "GSM175932", "GSM175933", "GSM175934", "GSM175935", "GSM175936", "GSM175937", "GSM175938", "GSM175939", "GSM175940", "GSM175941", "GSM175942", "GSM175943", "GSM175944", "GSM175945", "GSM175946", "GSM175947", "GSM175948", "GSM175949", "GSM175950", "GSM175951", "GSM175952", "GSM175953", "GSM175954", "GSM175955", "GSM175956", "GSM175957", "GSM175958", "GSM175959", "GSM175960", "GSM175961", "GSM175962", "GSM175963", "GSM175964", "GSM175965", "GSM175966", "GSM175967", "GSM175968", "GSM175969", "GSM175970", "GSM175971", "GSM175972", "GSM175973", "GSM175974", "GSM175975", "GSM175976", "GSM175977", "GSM175978", "GSM175979", "GSM175980", "GSM175981", "GSM175982", "GSM175983", "GSM175984", "GSM175985", "GSM175987", "GSM175988", "GSM175989", "GSM175990", "GSM175991", "GSM175992", "GSM175993", "GSM175994", "GSM175995", "GSM175996", "GSM175997", "GSM175998", "GSM175999", "GSM176000", "GSM176001", "GSM176002", "GSM176003", "GSM176004", "GSM176005", "GSM176006", "GSM176007", "GSM176008", "GSM176009", "GSM176010", "GSM176011", "GSM176012", "GSM176013", "GSM176014", "GSM176015", "GSM176016", "GSM176017", "GSM176018", "GSM176019", "GSM176020", "GSM176021", "GSM176022", "GSM176023", "GSM176024", "GSM176025", "GSM176026", "GSM176027", "GSM176028", "GSM176029", "GSM176030", "GSM176031", "GSM176032", "GSM176033", "GSM176034", "GSM176035", "GSM176036", "GSM176037", "GSM176038", "GSM176039", "GSM176040", "GSM176041", "GSM176042", "GSM176043", "GSM176044", "GSM176045", "GSM176046", "GSM176047", "GSM176048", "GSM176049", "GSM176050", "GSM176051", "GSM176052", "GSM176053", "GSM176054", "GSM176055", "GSM176056", "GSM176057", "GSM176058", "GSM176059", "GSM176060", "GSM176061", "GSM176062", "GSM176063", "GSM176064", "GSM176065", "GSM176066", "GSM176067", "GSM176068", "GSM176069", "GSM176070", "GSM176071", "GSM176072", "GSM176073", "GSM176074", "GSM176075", "GSM176076", "GSM176077", "GSM176078", "GSM176079", "GSM176080", "GSM176081", "GSM176082", "GSM176083", "GSM176084", "GSM176085", "GSM176086", "GSM176087", "GSM176088", "GSM176089", "GSM176090", "GSM176091", "GSM176092", "GSM176093", "GSM176094", "GSM176095", "GSM176096", "GSM176097", "GSM176098", "GSM176099", "GSM176100", "GSM176101", "GSM176102", "GSM176103", "GSM176104", "GSM176105", "GSM176106", "GSM176107", "GSM176108", "GSM176109", "GSM176110", "GSM176111", "GSM176112", "GSM176113", "GSM176114", "GSM176115", "GSM176116", "GSM176117", "GSM176118", "GSM176119", "GSM176120", "GSM176121", "GSM176122", "GSM176123", "GSM176124", "GSM176125", "GSM176126", "GSM176127", "GSM176128", "GSM176129", "GSM176130", "GSM176131", "GSM176132", "GSM176133", "GSM176134", "GSM176135", "GSM176136", "GSM176137", "GSM176138", "GSM176139", "GSM176140", "GSM176141", "GSM176142", "GSM176143", "GSM176144", "GSM176145", "GSM176146", "GSM176147", "GSM176148", "GSM176149", "GSM176150", "GSM176151", "GSM176152", "GSM176153", "GSM176154", "GSM176155", "GSM176156", "GSM176157", "GSM176158", "GSM176159", "GSM176160", "GSM176161", "GSM176162", "GSM176163", "GSM176164", "GSM176165", "GSM176166", "GSM176167", "GSM176168", "GSM176169", "GSM176170", "GSM176171", "GSM176172", "GSM176173", "GSM176174", "GSM176175", "GSM176176", "GSM176177", "GSM176178", "GSM176179", "GSM176180", "GSM176181", "GSM176182", "GSM176183", "GSM176184", "GSM176185", "GSM176186", "GSM176205", "GSM176206", "GSM176207", "GSM176208", "GSM176209", "GSM176210", "GSM176211", "GSM176212", "GSM176213", "GSM176214", "GSM176215", "GSM176216", "GSM176217", "GSM176218", "GSM176219", "GSM176220", "GSM176221", "GSM176222", "GSM176223", "GSM176224", "GSM176225", "GSM176226", "GSM176227", "GSM176228", "GSM176229", "GSM176230", "GSM176231", "GSM176232", "GSM176233", "GSM176234", "GSM176235", "GSM176236", "GSM176237", "GSM176238", "GSM176239", "GSM176240", "GSM176241", "GSM176242", "GSM176243", "GSM176244", "GSM176245", "GSM176246", "GSM176247", "GSM176248", "GSM176249", "GSM176250", "GSM176251", "GSM176252", "GSM176253", "GSM176254", "GSM176255", "GSM176256", "GSM176257", "GSM176258", "GSM176259", "GSM176260", "GSM176261", "GSM176262", "GSM176263", "GSM176264", "GSM176265", "GSM176266", "GSM176267", "GSM176268", "GSM176269", "GSM176270", "GSM176271", "GSM176272", "GSM176273", "GSM176274", "GSM176275", "GSM176276", "GSM176277", "GSM176278", "GSM176279", "GSM176280", "GSM176281", "GSM176282", "GSM176283", "GSM176284", "GSM176285", "GSM176286", "GSM176287", "GSM176288", "GSM176289", "GSM176290", "GSM176291", "GSM176292", "GSM176293", "GSM176294", "GSM176295", "GSM176296", "GSM176297", "GSM176298", "GSM176299", "GSM176300", "GSM176301", "GSM176302", "GSM176303", "GSM176304", "GSM176305", "GSM176306", "GSM176307", "GSM176308", "GSM176309", "GSM176310", "GSM176311", "GSM176312", "GSM176313", "GSM176314", "GSM176315", "GSM176316", "GSM176317", "GSM176318", "GSM176319", "GSM176320", "GSM176321", "GSM176322", "GSM176323", "GSM176324", "GSM176325", "GSM176326", "GSM176327", "GSM176328", "GSM176329", "GSM176330", "GSM176331", "GSM176332", "GSM176333", "GSM176334", "GSM176335", "GSM176336", "GSM176337", "GSM176338", "GSM176339", "GSM176340", "GSM176341", "GSM176342", "GSM176343", "GSM176344", "GSM176345", "GSM176346", "GSM176347", "GSM176348", "GSM176349", "GSM176350", "GSM176351", "GSM176352", "GSM176353", "GSM176354", "GSM176355", "GSM176356", "GSM176357", "GSM176358", "GSM176359", "GSM176360", "GSM176361", "GSM176362", "GSM176363", "GSM176364", "GSM176365", "GSM176366", "GSM176367", "GSM176368", "GSM176369", "GSM176370", "GSM176371", "GSM176372", "GSM176373", "GSM176374", "GSM176375", "GSM176376", "GSM176377", "GSM176378", "GSM176379", "GSM176380", "GSM176381", "GSM176382", "GSM176383", "GSM176384", "GSM176385", "GSM176386", "GSM176387", "GSM176388", "GSM176389", "GSM176390", "GSM176391", "GSM176392", "GSM176393", "GSM176394", "GSM176395", "GSM176396", "GSM176397", "GSM176398", "GSM176399", "GSM176400", "GSM176401", "GSM176402", "GSM176403", "GSM176404", "GSM176405", "GSM176406", "GSM176407", "GSM176408", "GSM176409", "GSM176410", "GSM176411", "GSM176412", "GSM176413", "GSM176414", "GSM176415", "GSM176416", "GSM176417", "GSM176418", "GSM176419", "GSM176420", "GSM176421", "GSM176422", "GSM176423", "GSM176424", "GSM176425", "GSM176426", "GSM176427", "GSM176428", "GSM176429", "GSM176430", "GSM176431", "GSM176432", "GSM176433", "GSM176434", "GSM176435", "GSM176436", "GSM176437", "GSM176438", "GSM176439", "GSM176440", "GSM176441", "GSM176442", "GSM176443", "GSM176444", "GSM176445", "GSM176446", "GSM176447", "GSM176448", "GSM176449", "GSM176450", "GSM176451", "GSM176452", "GSM176453", "GSM176454", "GSM176455", "GSM176456", "GSM176457", "GSM176458", "GSM176459", "GSM176460", "GSM176461", "GSM176462", "GSM176463", "GSM176464", "GSM176465", "GSM176466", "GSM176467", "GSM176468", "GSM176469", "GSM176470", "GSM176471", "GSM176472", "GSM176473", "GSM176474", "GSM176475", "GSM176476", "GSM176477", "GSM176478", "GSM176479", "GSM176480", "GSM176481"], "sample_count": 677, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Human body index - transcriptional profiling", "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:GSE11691 not downloaded", "asset:data:geo:GSE11691 licence not read", "asset:data:geo:GSE7305 not downloaded", "asset:data:geo:GSE7305 licence not read", "asset:data:geo:GSE7307 not downloaded", "asset:data:geo:GSE7307 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "correlation_analysis", "specific": "pearson", "label": "Correlation analysis", "dsl_operations": ["pearson_r"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The Pearson correlation test was employed to analyze the hub genes in the infiltrating immune cells in endometriosis using the R package and the resulting data were visualized using the \"ggplot\" package."}}, {"id": "method-2", "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-3", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "pathway enrichment"}}], "targets": [], "gaps": []}, "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": ["pearson_r"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: pearson."}, "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": ["GSE7305", "GSE7307", "GSE11691"], "resolved_accessions": ["GSE7305", "GSE7307", "GSE11691"], "statements": ["Data is available at NCBI GEO, accession numbers: GSE7305: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7305. GSE7307: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7307. GSE11691: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11691."], "basis": "The paper names GSE7305, GSE7307, GSE11691 in NCBI GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["pearson_r"], "assets": ["source:pmid:35303800", "data:geo:GSE11691"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE11691"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:38:34Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 14336, "completion_tokens": 1550, "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:35303800", "type": "paper", "label": "pmid:35303800"}, {"id": "source:pmid:35303800", "type": "manuscript", "label": "PMID 35303800 full text"}, {"id": "data:geo:GSE11691", "type": "dataset", "label": "GEO GSE11691"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:35303800", "type": "paper", "label": "pmid:35303800"}, {"id": "source:pmid:35303800", "type": "manuscript", "label": "PMID 35303800 full text"}, {"id": "data:geo:GSE11691", "type": "dataset", "label": "GEO GSE11691"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-35303800", "type": "extraction", "used": ["source:pmid:35303800"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE11691", "type": "accession_resolution", "used": ["data:geo:GSE11691"], "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:35303800", "parent_hash": "sha256:2a39cead3e62e93ff8b5815b33bea91771a57e31cc9c4a5fbf7e2d1a45386c31", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE11691 licence not read", "asset:data:geo:GSE11691 not downloaded", "asset:data:geo:GSE7305 licence not read", "asset:data:geo:GSE7305 not downloaded", "asset:data:geo:GSE7307 licence not read", "asset:data:geo:GSE7307 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "correlation_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["pearson_r"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The Pearson correlation test was employed to analyze the hub genes in the infiltrating immune cells in endometriosis using the R package and the resulting data were visualized using the \"ggplot\" package."], "order_basis": "analysis_only", "id": "assay:1"}]}