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pmid:32476992

Bioinformatics Analysis based on Multiple Databases Identifies Hub Genes Associated with Hepatocellular Carcinoma.

Lu Zeng · Xiude Fan · Xiaoyun Wang · Huan Deng · Kun Zhang · Xiaoge Zhang · Shan He · Na Li · Qunying Han · Zhengwen Liu

Current genomics · 2019 doi:10.2174/1389202920666191011092410

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:32476992
kind
science-record
content_hash
sha256:89d1e3c7bbef62189f8ebdb90522f9c2dad33670bc434bf31db3f08e66fc3688
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:02Z
updated_at
2026-11-01T22:01:42Z
generator object · 2 fields
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paper object · 10 fields
state
complete
title
Bioinformatics Analysis based on Multiple Databases Identifies Hub Genes Associated with Hepatocellular Carcinoma.
doi
10.2174/1389202920666191011092410
pmid
32476992
authors array · 10 items
[0]
Lu Zeng
[1]
Xiude Fan
[2]
Xiaoyun Wang
[3]
Huan Deng
[4]
Kun Zhang
[5]
Xiaoge Zhang
[6]
Shan He
[7]
Na Li
[8]
Qunying Han
[9]
Zhengwen Liu
journal
Current genomics
year
2019
abstract
BACKGROUND: Hepatocellular carcinoma (HCC) is the most common liver cancer and the mechanisms of hepatocarcinogenesis remain elusive. OBJECTIVE: This study aims to mine hub genes associated with HCC using multiple databases. METHODS: Data sets GSE45267, GSE60502, GSE74656 were downloaded from GEO database. Differentially expressed genes (DEGs) between HCC and control in each set were identified by limma software. The GO term and KEGG pathway enrichment of the DEGs aggregated in the datasets (aggregated DEGs) were analyzed using DAVID and KOBAS 3.0 databases. Protein-protein interaction (PPI) network of the aggregated DEGs was constructed using STRING database. GSEA software was used to verify the biological process. Association between hub genes and HCC prognosis was analyzed using patients' information from TCGA database by survminer R package. RESULTS: From GSE45267, GSE60502 and GSE74656, 7583, 2349, and 553 DEGs were identified respectively. A total of 221 aggregated DEGs, which were mainly enriched in 109 GO terms and 29 KEGG pathways, were identified. Cell cycle phase, mitotic cell cycle, cell division, nuclear division and mitosis were the most significant GO terms. Metabolic pathways, cell cycle, chemical carcinogenesis, retinol metabolism and fatty acid degradation were the main KEGG pathways. Nine hub genes (TOP2A, NDC80, CDK1, CCNB1, KIF11, BUB1, CCNB2, CCNA2 and TTK) were selected by PPI network and all of them were associated with prognosis of HCC patients. CONCLUSION: TOP2A, NDC80, CDK1, CCNB1, KIF11, BUB1, CCNB2, CCNA2 and TTK were hub genes in HCC, which may be potential biomarkers of HCC and targets of HCC therapy.
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The association between each hub gene and prognosis of HCC patients was analyzed using “survminer” package [18] and p < 0.05 (unadjusted p value) was considered significant.
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methodological
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null
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sections[7] "Overall Survival Analysis" paragraph 2
quote
The association between each hub gene and prognosis of HCC patients was analyzed using “survminer” package [18] and p < 0.05 (unadjusted p value) was considered significant.
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complete
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The authors confirm that the data supporting the results and findings of this study are available within the article.
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methodological
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sections[21] "AVAILABILITY OF DATA AND MATERIALS" paragraph 2
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The authors confirm that the data supporting the results and findings of this study are available within the article.
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Read the published estimate from the source
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The claim, method and evidence span published with the source article.
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the published estimate and its evidence
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The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
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Run the published analysis
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Apply the paper's statistical method to the resolved series and compare the result with the published target.
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The authors confirm that the data supporting the results and findings of this study are available within the article.
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570
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Homo sapiens
title
Gene expression profiles of human hepatocellular carcinoma (training set 1)
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identifier_resolution_only_no_download_no_licence_read
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data:geo:GSE60502
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE60502
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null
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null
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The authors confirm that the data supporting the results and findings of this study are available within the article.
structure object · 15 fields
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GEO accession URL
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The authors confirm that the data supporting the results and findings of this study are available within the article.
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sample_accessions array · 36 items
[0]
GSM1481292
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GSM1481293
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GSM1481294
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GSM1481295
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GSM1481296
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GSM1481297
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GSM1481298
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GSM1481299
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GSM1481300
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GSM1481315
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GSM1481316
[25]
GSM1481317
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GSM1481318
[27]
GSM1481319
[28]
GSM1481320
[29]
GSM1481321
[30]
GSM1481322
[31]
GSM1481323
[32]
GSM1481324
[33]
GSM1481325
[34]
GSM1481326
[35]
GSM1481327
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36
group_sizes
null
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null
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96
taxon
Homo sapiens
title
Gene expression profiling of 18 hepatocellular carcinoma and adjacent non-tumorous liver tissue
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2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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licence_read
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application/vnd.ncbi.geo-series+json
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null
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The authors confirm that the data supporting the results and findings of this study are available within the article.
structure object · 15 fields
repository
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GEO accession URL
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The authors confirm that the data supporting the results and findings of this study are available within the article.
access_statement_kind
data_availability_statement
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[0]
GSM1924913
[1]
GSM1924914
[2]
GSM1924915
[3]
GSM1924916
[4]
GSM1924917
[5]
GSM1924918
[6]
GSM1924919
[7]
GSM1924920
[8]
GSM1924921
[9]
GSM1924922
[10]
GSM1924923
[11]
GSM1924924
[12]
GSM1924925
[13]
GSM1924926
[14]
GSM1924927
sample_count
15
group_sizes
null
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null
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16043
taxon
Homo sapiens
title
Gene expression profiling of Human Hepatocellular Carcinoma tissues
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
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licence_read
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[4] object · 16 fields
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The top 20 up-regulated and down-regulated DEGs aggregated in GSE45267, GSE60502 and GSE74656.
structure object · 5 fields
pmcid
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section_index
9
section_title
Screening of DEGs Aggregated in the Datasets
row_count
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table object · 8 fields
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Table 1
caption
The top 20 up-regulated and down-regulated DEGs aggregated in GSE45267, GSE60502 and GSE74656.
rows array · 21 items
[0] array · 4 items
[0]
Up-regulated Genes
[1]
Score
[2]
Down-regulated Genes
[3]
Score
[1] array · 4 items
[0]
NDC80
[1]
3.81E-08
[2]
FCN3
[3]
1.16E-08
[2] array · 4 items
[0]
SPINK1
[1]
4.89E-07
[2]
HAMP
[3]
1.47E-07
[3] array · 4 items
[0]
RACGAP1
[1]
7.81E-06
[2]
APOF
[3]
2.20E-07
[4] array · 4 items
[0]
ACSL4
[1]
7.81E-06
[2]
CYP1A2
[3]
2.64E-07
[5] array · 4 items
[0]
GINS1
[1]
1.09E-05
[2]
SLC22A1
[3]
4.30E-07
[6] array · 4 items
[0]
PLVAP
[1]
2.10E-05
[2]
CRHBP
[3]
9.44E-07
[7] array · 4 items
[0]
EZH2
[1]
4.16E-05
[2]
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[3]
9.44E-07
[8] array · 4 items
[0]
GPC3
[1]
5.91E-05
[2]
HGFAC
[3]
5.23E-06
[9] array · 4 items
[0]
CEP55
[1]
6.25E-05
[2]
AKR1D1
[3]
6.32E-06
[10] array · 4 items
[0]
DLGAP5
[1]
7.43E-05
[2]
CLEC4M
[3]
6.32E-06
[11] array · 4 items
[0]
CENPE
[1]
8.95E-05
[2]
MT1F
[3]
1.05E-05
[12] array · 4 items
[0]
CDC20
[1]
0.00011
[2]
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[3]
1.77E-05
[13] array · 4 items
[0]
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[1]
0.000125
[2]
LPA
[3]
2.09E-05
[14] array · 4 items
[0]
TTK
[1]
0.000141
[2]
DNASE1L3
[3]
2.65E-05
[15] array · 4 items
[0]
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[1]
0.000187
[2]
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[3]
2.75E-05
[16] array · 4 items
[0]
ZWILCH
[1]
0.000194
[2]
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[3]
3.54E-05
[17] array · 4 items
[0]
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[1]
0.000258
[2]
KCNN2
[3]
3.66E-05
[18] array · 4 items
[0]
CTHRC1
[1]
0.000258
[2]
CFP
[3]
3.79E-05
[19] array · 4 items
[0]
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[1]
0.000278
[2]
CYP2B6
[3]
4.32E-05
[20] array · 4 items
[0]
NCAPG
[1]
0.000281
[2]
CYP2E1
[3]
4.98E-05
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section[9]/table-wrap[1]#T1
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The main GO terms of the DEGs aggregated in GSE45267, GSE60502 and GSE74656.
structure object · 5 fields
pmcid
PMC7235396
section_index
10
section_title
GO Analysis
row_count
16
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label
Table 2
caption
The main GO terms of the DEGs aggregated in GSE45267, GSE60502 and GSE74656.
rows array · 16 items
[0] array · 6 items
[0]
Category
[1]
ID
[2]
Term
[3]
Count
[4]
adj_pval
[5]
Genes
[1] array · 6 items
[0]
BP
[1]
GO:0022403
[2]
cell cycle phase
[3]
31
[4]
5.57E-14
[5]
PRC1, NEK2, DBF4, KNTC1, TTK, CEP55, KIF2C, SAC3D1, NCAPG, BUB1, ZWILCH, CCNA2, ASPM, CDCA3, CDC7, CDK1, KIF11, DLGAP5,TPX2, NUSAP1, CENPE, NDC80, CDC20, PBK, TACC3, CDK4, CDKN3, CCNB1, CCNB2, CKS2, BUB1B
[2] array · 6 items
[0]
BP
[1]
GO:0000278
[2]
mitotic cell cycle
[3]
29
[4]
1.45E-13
[5]
PRC1, NEK2, DBF4, KNTC1, TTK, CEP55, KIF2C, SAC3D1, NCAPG, BUB1, ZWILCH, CCNA2, ASPM, CDCA3, CDC7, CDK1, KIF11, DLGAP5,TPX2, NUSAP1, CENPE, NDC80, CDC20, PBK, CDK4, CDKN3, CCNB1, CCNB2, BUB1B
[3] array · 6 items
[0]
BP
[1]
GO:0051301
[2]
cell division
[3]
26
[4]
2.62E-13
[5]
PRC1, NEK2, KNTC1, CEP55, SAC3D1, NCAPG, BUB1, ZWILCH, CCNA2, ASPM, CDCA3, CDC7, CDK1, KIF11, NUSAP1, CENPE, NDC80,CDC20, CDK4, RACGAP1, MCM5, CCNB1, CCNB2, CKS2, BUB1B, CDCA7L
[4] array · 6 items
[0]
BP
[1]
GO:0000280
[2]
nuclear division
[3]
23
[4]
2.76E-13
[5]
CDK1, KIF11, NEK2, DLGAP5, TPX2, KNTC1, NUSAP1, NDC80, CENPE, CDC20, PBK, CEP55, CCNB1, KIF2C, CCNB2, SAC3D1, NCAPG,BUB1, BUB1B, ZWILCH, CCNA2, ASPM, CDCA3
[5] array · 6 items
[0]
BP
[1]
GO:0007067
[2]
mitosis
[3]
23
[4]
2.76E-13
[5]
CDK1, KIF11, NEK2, DLGAP5, TPX2, KNTC1, NUSAP1, NDC80, CENPE, CDC20, PBK, CEP55, CCNB1, KIF2C, CCNB2, SAC3D1, NCAPG,BUB1, BUB1B, ZWILCH, CCNA2, ASPM, CDCA3
[6] array · 6 items
[0]
MF
[1]
GO:0009055
[2]
electron carrier activity
[3]
21
[4]
1.35E-11
[5]
CYP3A4, STEAP3, GCDH, CYP2C19, CYP2B6, ADH6, CYP26A1, KMO, CYP4F12, CYP2E1, CYP1A2, CYP4A11, CYP39A1, HAAO, CYP2A6,AKR7A3, CYP2A7, CYP4F2, RDH16
[7] array · 6 items
[0]
MF
[1]
GO:0019825
[2]
oxygen binding
[3]
11
[4]
1.78E-10
[5]
CYP3A4, CYP4A11, CYP2C19, CYP2B6, HAAO, CYP26A1, CYP2A7, CYP4F12, CYP2E1, CYP1A2, CYP4F2
[8] array · 6 items
[0]
MF
[1]
GO:0020037
[2]
heme binding
[3]
13
[4]
7.11E-08
[5]
CYP3A4, CYP4A11, CYP39A1, CYP27A1, CYP2C19, CYP2B6, CYP26A1, CYP2A6, CYP2A7, CYP4F12, CYP2E1, CYP1A2, CYP4F2
[9] array · 6 items
[0]
MF
[1]
GO:0046870
[2]
cadmium ion binding
[3]
6
[4]
9.47E-08
[5]
MT1M, MT1E, MT1H, MT1G, MT1X, MT1F
[10] array · 6 items
[0]
MF
[1]
GO:0046906
[2]
tetrapyrrole binding
[3]
13
[4]
1.45E-07
[5]
CYP3A4, CYP4A11, CYP39A1, CYP27A1, CYP2C19, CYP2B6, CYP26A1, CYP2A6, CYP2A7, CYP4F12, CYP2E1, CYP1A2, CYP4F2
[11] array · 6 items
[0]
CC
[1]
GO:0005819
[2]
spindle
[3]
18
[4]
1.40E-11
[5]
CDK1, KIF4A, KIF11, PRC1, NEK2, DLGAP5, KNTC1, TPX2, NUSAP1, TTK, CENPE, CDC20, CBX1, RACGAP1, SAC3D1, BUB1, BUB1B, ASPM
[12] array · 6 items
[0]
CC
[1]
GO:0005792
[2]
microsome
[3]
18
[4]
2.37E-08
[5]
CYP3A4, AQP9, CYP2C19, CYP2B6, IGFALS, CYP26A1, CYP4F12, CYP2E1, CYP1A2, CYP4A11, CYP39A1, CYP2A6, SORT1, CYP2A7,SRD5A2, CYP4F2, ACSL4, RDH16
[13] array · 6 items
[0]
CC
[1]
GO:0042598
[2]
vesicular fraction
[3]
18
[4]
3.64E-08
[5]
CYP3A4, AQP9, CYP2C19, CYP2B6, IGFALS, CYP26A1, CYP4F12, CYP2E1, CYP1A2, CYP4A11, CYP39A1, CYP2A6, SORT1, CYP2A7,SRD5A2, CYP4F2, ACSL4, RDH16
[14] array · 6 items
[0]
CC
[1]
GO:0000777
[2]
condensed chromosome kinetochore
[3]
10
[4]
7.84E-08
[5]
KIF2C, CENPM, HJURP, KNTC1, BUB1, BUB1B, CENPE, NDC80, CENPK, ZWILCH
[15] array · 6 items
[0]
CC
[1]
GO:0000779
[2]
condensed chromosome, centromeric region
[3]
10
[4]
2.48E-07
[5]
KIF2C, CENPM, HJURP, KNTC1, BUB1, BUB1B, CENPE, NDC80, CENPK, ZWILCH
locator
section[10]/table-wrap[1]#T2
[6] object · 16 fields
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asset:table:pmid:32476992:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:a435b08c2e5c4314e6fc6a5a4c36da05959d48c8d254ff266cc45e1e1c93b982
bytes
1985
access
open
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verified
reader
read_table
reader_status
available
identifier
section[11]/table-wrap[1]#T3
version
null
note
The KEGG pathways of the DEGs aggregated in GSE45267, GSE60502 and GSE74656.
structure object · 5 fields
pmcid
PMC7235396
section_index
11
section_title
Enriched KEGG Pathways
row_count
30
column_count
5
table object · 8 fields
label
Table 3
caption
The KEGG pathways of the DEGs aggregated in GSE45267, GSE60502 and GSE74656.
rows array · 30 items
[0] array · 5 items
[0]
S. No.
[1]
Term
[2]
ID
[3]
Input Number
[4]
p
[1] array · 5 items
[0]
1
[1]
Metabolic pathways
[2]
hsa01100
[3]
38
[4]
8.71E-12
[2] array · 5 items
[0]
2
[1]
Cell cycle
[2]
hsa04110
[3]
13
[4]
1.48E-10
[3] array · 5 items
[0]
3
[1]
Chemical carcinogenesis
[2]
hsa05204
[3]
10
[4]
5.45E-09
[4] array · 5 items
[0]
4
[1]
Retinol metabolism
[2]
hsa00830
[3]
9
[4]
1.18E-08
[5] array · 5 items
[0]
5
[1]
Fatty acid degradation
[2]
hsa00071
[3]
8
[4]
1.36E-08
[6] array · 5 items
[0]
6
[1]
Metabolism of xenobiotics by cytochrome P450
[2]
hsa00980
[3]
9
[4]
2.65E-08
[7] array · 5 items
[0]
7
[1]
Drug metabolism - cytochrome P450
[2]
hsa00982
[3]
8
[4]
2.46E-07
[8] array · 5 items
[0]
8
[1]
Tyrosine metabolism
[2]
hsa00350
[3]
6
[4]
1.13E-06
[9] array · 5 items
[0]
9
[1]
p53 signaling pathway
[2]
hsa04115
[3]
7
[4]
3.51E-06
[10] array · 5 items
[0]
10
[1]
Mineral absorption
[2]
hsa04978
[3]
6
[4]
9.06E-06
[11] array · 5 items
[0]
11
[1]
Progesterone-mediated oocyte maturation
[2]
hsa04914
[3]
7
[4]
2.80E-05
[12] array · 5 items
[0]
12
[1]
Caffeine metabolism
[2]
hsa00232
[3]
3
[4]
3.15E-05
[13] array · 5 items
[0]
13
[1]
Glycolysis / Gluconeogenesis
[2]
hsa00010
[3]
6
[4]
3.43E-05
[14] array · 5 items
[0]
14
[1]
Tryptophan metabolism
[2]
hsa00380
[3]
5
[4]
3.66E-05
[15] array · 5 items
[0]
15
[1]
Oocyte meiosis
[2]
hsa04114
[3]
7
[4]
0.0001
[16] array · 5 items
[0]
16
[1]
Linoleic acid metabolism
[2]
hsa00591
[3]
4
[4]
0.000182
[17] array · 5 items
[0]
17
[1]
Steroid hormone biosynthesis
[2]
hsa00140
[3]
5
[4]
0.000216
[18] array · 5 items
[0]
18
[1]
Arachidonic acid metabolism
[2]
hsa00590
[3]
5
[4]
0.000286
[19] array · 5 items
[0]
19
[1]
Prion diseases
[2]
hsa05020
[3]
4
[4]
0.000313
[20] array · 5 items
[0]
20
[1]
Bile secretion
[2]
hsa04976
[3]
5
[4]
0.000448
[21] array · 5 items
[0]
21
[1]
PPAR signaling pathway
[2]
hsa03320
[3]
5
[4]
0.000505
[22] array · 5 items
[0]
22
[1]
Primary bile acid biosynthesis
[2]
hsa00120
[3]
3
[4]
0.000594
[23] array · 5 items
[0]
23
[1]
Complement and coagulation cascades
[2]
hsa04610
[3]
5
[4]
0.00071
[24] array · 5 items
[0]
24
[1]
Drug metabolism - other enzymes
[2]
hsa00983
[3]
4
[4]
0.000815
[25] array · 5 items
[0]
25
[1]
Melanoma
[2]
hsa05218
[3]
4
[4]
0.004018
[26] array · 5 items
[0]
26
[1]
AMPK signaling pathway
[2]
hsa04152
[3]
5
[4]
0.004832
[27] array · 5 items
[0]
27
[1]
FoxO signaling pathway
[2]
hsa04068
[3]
5
[4]
0.006584
[28] array · 5 items
[0]
28
[1]
HTLV-I infection
[2]
hsa05166
[3]
7
[4]
0.007323
[29] array · 5 items
[0]
29
[1]
Valine, leucine and isoleucine degradation
[2]
hsa00280
[3]
3
[4]
0.008979
locator
section[11]/table-wrap[1]#T3
[7] object · 16 fields
id
asset:table:pmid:32476992:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:b632da9ff8854ea0b138d21203aed590c0b055c645f0eb152c63277efe85dbc1
bytes
832
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[13]/table-wrap[1]#T4
version
null
note
The HCC enrichment gene sets in GSE45267 by GSEA database.
structure object · 5 fields
pmcid
PMC7235396
section_index
13
section_title
GSEA Analysis
row_count
6
column_count
5
table object · 8 fields
label
Table 4
caption
The HCC enrichment gene sets in GSE45267 by GSEA database.
rows array · 6 items
[0] array · 5 items
[0]
Enrichment Gene Set
[1]
NES
[2]
NOM p-val
[3]
FDR
[4]
Top Ten Core Enriched Genes
[1] array · 5 items
[0]
MITOTIC_SPINDLE
[1]
1.611
[2]
0.002
[3]
0.214
[4]
TTK, NDC80, RACGAP1, KIF4A, PRC1,TOP2A, ANLN, DLGAP5, KIF11, NUSAP1
[2] array · 5 items
[0]
G2M_CHECKPOINT
[1]
1.553
[2]
0.004
[3]
0.125
[4]
TTK, NDC80, CDKN3, RACGAP1, KIF4A,PRC1, TOP2A, PBK, CDC20, HMMR
[3] array · 5 items
[0]
E2F_TARGETS
[1]
1.540
[2]
0.004
[3]
0.070
[4]
GINS1, CDKN3, RACGAP1, KIF4A, TOP2A,BUB1B, CDC20, HMMR, EZH2, DLGAP5
[4] array · 5 items
[0]
SPERMATOGENESIS
[1]
1.550
[2]
0.020
[3]
0.097
[4]
TTK, CDKN3, EZH2, NEK2, AURKA,CDK1, RFC4, CLGN, KIF2C, RPL39L
[5] array · 5 items
[0]
DNA_REPAIR
[1]
1.578
[2]
0.032
[3]
0.151
[4]
ZWINT, RFC4, PRIM1, SAC3D1, FEN1,POLA1, TYMS, RFC5, PCNA, POLR3C
locator
section[13]/table-wrap[1]#T4
gaps array · 6 items
[0]
asset:data:geo:GSE45267 not downloaded
[1]
asset:data:geo:GSE45267 licence not read
[2]
asset:data:geo:GSE60502 not downloaded
[3]
asset:data:geo:GSE60502 licence not read
[4]
asset:data:geo:GSE74656 not downloaded
[5]
asset:data:geo:GSE74656 licence not read
analysis object · 4 fields
state
partial
methods array · 4 items
[0] object · 10 fields
id
method-1
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.7
band
medium
quote
limma
[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
0.7
band
medium
quote
pathway enrichment
[3] object · 10 fields
id
method-4
family
null
specific
null
label
survminer R package
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
The association between each hub gene and prognosis of HCC patients was analyzed using “survminer” package [18] and p < 0.05 (unadjusted p value) was considered significant.
targets array · 0 items
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]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
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: limma_voom.
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]
GSE45267
[1]
GSE60502
[2]
GSE74656
resolved_accessions array · 3 items
[0]
GSE45267
[1]
GSE60502
[2]
GSE74656
statements array · 1 item
[0]
The authors confirm that the data supporting the results and findings of this study are available within the article.
basis
The paper names GSE45267, GSE60502, GSE74656 in GEO (Gene Expression Omnibus) 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]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 6 items
[0]
source:pmid:32476992
[1]
data:geo:GSE45267
[2]
asset:table:pmid:32476992:1
[3]
asset:table:pmid:32476992:2
[4]
asset:table:pmid:32476992:3
[5]
asset:table:pmid:32476992:4
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:GSE45267
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
2026-10-31T18:20:14Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
35702
completion_tokens
2015
cached_tokens
784
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:32476992
type
paper
label
pmid:32476992
[1] object · 3 fields
id
source:pmid:32476992
type
manuscript
label
PMID 32476992 full text
[2] object · 3 fields
id
data:geo:GSE45267
type
dataset
label
GEO GSE45267
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:32476992
type
paper
label
pmid:32476992
[1] object · 3 fields
id
source:pmid:32476992
type
manuscript
label
PMID 32476992 full text
[2] object · 3 fields
id
data:geo:GSE45267
type
dataset
label
GEO GSE45267
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-32476992
type
extraction
used array · 1 item
[0]
source:pmid:32476992
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE45267
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE45267
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:32476992
parent_hash
sha256:8cce67b34aa3fbedecf66b741397a176106dea1e9451dc91dabb4a18540f29d7
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE45267 licence not read
[1]
asset:data:geo:GSE45267 not downloaded
[2]
asset:data:geo:GSE60502 licence not read
[3]
asset:data:geo:GSE60502 not downloaded
[4]
asset:data:geo:GSE74656 licence not read
[5]
asset:data:geo:GSE74656 not downloaded
[6]
execution.not_run
[7]
method.reader_named_unmapped
[8]
review.human_critique
[9]
review.independent_reader
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assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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limma
order_basis
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assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32476992", "kind": "science-record", "revision": 5, "content_hash": "sha256:89d1e3c7bbef62189f8ebdb90522f9c2dad33670bc434bf31db3f08e66fc3688", "created_at": "2026-11-01T15:41:02Z", "updated_at": "2026-11-01T22:01:42Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics Analysis based on Multiple Databases Identifies Hub Genes Associated with Hepatocellular Carcinoma.", "doi": "10.2174/1389202920666191011092410", "pmid": "32476992", "authors": ["Lu Zeng", "Xiude Fan", "Xiaoyun Wang", "Huan Deng", "Kun Zhang", "Xiaoge Zhang", "Shan He", "Na Li", "Qunying Han", "Zhengwen Liu"], "journal": "Current genomics", "year": 2019, "abstract": "BACKGROUND: Hepatocellular carcinoma (HCC) is the most common liver cancer and the mechanisms of hepatocarcinogenesis remain elusive.\nOBJECTIVE: This study aims to mine hub genes associated with HCC using multiple databases.\nMETHODS: Data sets GSE45267, GSE60502, GSE74656 were downloaded from GEO database. Differentially expressed genes (DEGs) between HCC and control in each set were identified by limma software. The GO term and KEGG pathway enrichment of the DEGs aggregated in the datasets (aggregated DEGs) were analyzed using DAVID and KOBAS 3.0 databases. Protein-protein interaction (PPI) network of the aggregated DEGs was constructed using STRING database. GSEA software was used to verify the biological process. Association between hub genes and HCC prognosis was analyzed using patients' information from TCGA database by survminer R package.\nRESULTS: From GSE45267, GSE60502 and GSE74656, 7583, 2349, and 553 DEGs were identified respectively. A total of 221 aggregated DEGs, which were mainly enriched in 109 GO terms and 29 KEGG pathways, were identified. Cell cycle phase, mitotic cell cycle, cell division, nuclear division and mitosis were the most significant GO terms. Metabolic pathways, cell cycle, chemical carcinogenesis, retinol metabolism and fatty acid degradation were the main KEGG pathways. Nine hub genes (TOP2A, NDC80, CDK1, CCNB1, KIF11, BUB1, CCNB2, CCNA2 and TTK) were selected by PPI network and all of them were associated with prognosis of HCC patients.\nCONCLUSION: TOP2A, NDC80, CDK1, CCNB1, KIF11, BUB1, CCNB2, CCNA2 and TTK were hub genes in HCC, which may be potential biomarkers of HCC and targets of HCC therapy.", "claims": [{"id": "claim-method", "statement": "The association between each hub gene and prognosis of HCC patients was analyzed using “survminer” package [18] and p < 0.05 (unadjusted p value) was considered significant.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32476992", "locator": "sections[7] \"Overall Survival Analysis\" paragraph 2", "quote": "The association between each hub gene and prognosis of HCC patients was analyzed using “survminer” package [18] and p < 0.05 (unadjusted p value) was considered significant."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The authors confirm that the data supporting the results and findings of this study are available within the article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32476992", "locator": "sections[21] \"AVAILABILITY OF DATA AND MATERIALS\" paragraph 2", "quote": "The authors confirm that the data supporting the results and findings of this study are available within the article."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:32476992"], "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:GSE45267"], "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:GSE45267"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32476992", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2174/1389202920666191011092410", "sha256": 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data supporting the results and findings of this study are available within the article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The authors confirm that the data supporting the results and findings of this study are available within the article.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1924913", "GSM1924914", "GSM1924915", "GSM1924916", "GSM1924917", "GSM1924918", "GSM1924919", "GSM1924920", "GSM1924921", "GSM1924922", "GSM1924923", "GSM1924924", "GSM1924925", "GSM1924926", "GSM1924927"], "sample_count": 15, "group_sizes": null, "group_sizes_basis": null, "platform": "16043", "taxon": "Homo sapiens", "title": "Gene expression profiling of Human Hepatocellular Carcinoma tissues", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": 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["ACSL4", "7.81E-06", "CYP1A2", "2.64E-07"], ["GINS1", "1.09E-05", "SLC22A1", "4.30E-07"], ["PLVAP", "2.10E-05", "CRHBP", "9.44E-07"], ["EZH2", "4.16E-05", "GYS2", "9.44E-07"], ["GPC3", "5.91E-05", "HGFAC", "5.23E-06"], ["CEP55", "6.25E-05", "AKR1D1", "6.32E-06"], ["DLGAP5", "7.43E-05", "CLEC4M", "6.32E-06"], ["CENPE", "8.95E-05", "MT1F", "1.05E-05"], ["CDC20", "0.00011", "CFHR4", "1.77E-05"], ["TOP2A", "0.000125", "LPA", "2.09E-05"], ["TTK", "0.000141", "DNASE1L3", "2.65E-05"], ["KNTC1", "0.000187", "MT1E", "2.75E-05"], ["ZWILCH", "0.000194", "GNMT", "3.54E-05"], ["NUSAP1", "0.000258", "KCNN2", "3.66E-05"], ["CTHRC1", "0.000258", "CFP", "3.79E-05"], ["SHCBP1", "0.000278", "CYP2B6", "4.32E-05"], ["NCAPG", "0.000281", "CYP2E1", "4.98E-05"]], "row_count": 21, "column_count": 4, "numeric_cells": 44, "header_rows": 1, "locator": "section[9]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:32476992:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:81c3966d22de1d194f66bf534fabfefce4f0ddf63ca0e79b1c87e463a1ca2f72", "bytes": 3073, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[10]/table-wrap[1]#T2", "version": null, "note": "The main GO terms of the DEGs aggregated in GSE45267, GSE60502 and GSE74656.", "structure": {"pmcid": "PMC7235396", "section_index": 10, "section_title": "GO Analysis", "row_count": 16, "column_count": 6}, "table": {"label": "Table 2", "caption": "The main GO terms of the DEGs aggregated in GSE45267, GSE60502 and GSE74656.", "rows": [["Category", "ID", "Term", "Count", "adj_pval", "Genes"], ["BP", "GO:0022403", "cell cycle phase", "31", "5.57E-14", "PRC1, NEK2, DBF4, KNTC1, TTK, CEP55, KIF2C, SAC3D1, NCAPG, BUB1, ZWILCH, CCNA2, ASPM, CDCA3, CDC7, CDK1, KIF11, DLGAP5,TPX2, NUSAP1, CENPE, NDC80, CDC20, PBK, TACC3, CDK4, CDKN3, CCNB1, CCNB2, CKS2, BUB1B"], ["BP", "GO:0000278", "mitotic cell cycle", "29", "1.45E-13", "PRC1, NEK2, DBF4, KNTC1, TTK, CEP55, KIF2C, SAC3D1, NCAPG, BUB1, ZWILCH, CCNA2, ASPM, CDCA3, CDC7, CDK1, KIF11, DLGAP5,TPX2, NUSAP1, CENPE, NDC80, CDC20, PBK, CDK4, CDKN3, CCNB1, CCNB2, BUB1B"], ["BP", "GO:0051301", "cell division", "26", "2.62E-13", "PRC1, NEK2, KNTC1, CEP55, SAC3D1, NCAPG, BUB1, ZWILCH, CCNA2, ASPM, CDCA3, CDC7, CDK1, KIF11, NUSAP1, CENPE, NDC80,CDC20, CDK4, RACGAP1, MCM5, CCNB1, CCNB2, CKS2, BUB1B, CDCA7L"], ["BP", "GO:0000280", "nuclear division", "23", "2.76E-13", "CDK1, KIF11, NEK2, DLGAP5, TPX2, KNTC1, NUSAP1, NDC80, CENPE, CDC20, PBK, CEP55, CCNB1, KIF2C, CCNB2, SAC3D1, NCAPG,BUB1, BUB1B, ZWILCH, CCNA2, ASPM, CDCA3"], ["BP", "GO:0007067", "mitosis", "23", "2.76E-13", "CDK1, KIF11, NEK2, DLGAP5, TPX2, KNTC1, NUSAP1, NDC80, CENPE, CDC20, PBK, CEP55, CCNB1, KIF2C, CCNB2, SAC3D1, NCAPG,BUB1, BUB1B, ZWILCH, CCNA2, ASPM, CDCA3"], ["MF", "GO:0009055", "electron carrier activity", "21", "1.35E-11", "CYP3A4, STEAP3, GCDH, CYP2C19, CYP2B6, ADH6, CYP26A1, KMO, CYP4F12, CYP2E1, CYP1A2, CYP4A11, CYP39A1, HAAO, CYP2A6,AKR7A3, CYP2A7, CYP4F2, RDH16"], ["MF", "GO:0019825", "oxygen binding", "11", "1.78E-10", "CYP3A4, CYP4A11, CYP2C19, CYP2B6, HAAO, CYP26A1, CYP2A7, CYP4F12, CYP2E1, CYP1A2, CYP4F2"], ["MF", "GO:0020037", "heme binding", "13", "7.11E-08", "CYP3A4, CYP4A11, CYP39A1, CYP27A1, CYP2C19, CYP2B6, CYP26A1, CYP2A6, CYP2A7, CYP4F12, CYP2E1, CYP1A2, CYP4F2"], ["MF", "GO:0046870", "cadmium ion binding", "6", "9.47E-08", "MT1M, MT1E, MT1H, MT1G, MT1X, MT1F"], ["MF", "GO:0046906", "tetrapyrrole binding", "13", "1.45E-07", "CYP3A4, CYP4A11, CYP39A1, CYP27A1, CYP2C19, CYP2B6, CYP26A1, CYP2A6, CYP2A7, CYP4F12, CYP2E1, CYP1A2, CYP4F2"], ["CC", "GO:0005819", "spindle", "18", "1.40E-11", "CDK1, KIF4A, KIF11, PRC1, NEK2, DLGAP5, KNTC1, TPX2, NUSAP1, TTK, CENPE, CDC20, CBX1, RACGAP1, SAC3D1, BUB1, BUB1B, ASPM"], ["CC", "GO:0005792", "microsome", "18", "2.37E-08", "CYP3A4, AQP9, CYP2C19, CYP2B6, IGFALS, CYP26A1, CYP4F12, CYP2E1, CYP1A2, CYP4A11, CYP39A1, CYP2A6, SORT1, CYP2A7,SRD5A2, CYP4F2, ACSL4, RDH16"], ["CC", "GO:0042598", "vesicular fraction", "18", "3.64E-08", "CYP3A4, AQP9, CYP2C19, CYP2B6, IGFALS, CYP26A1, CYP4F12, CYP2E1, CYP1A2, CYP4A11, CYP39A1, CYP2A6, SORT1, CYP2A7,SRD5A2, CYP4F2, ACSL4, RDH16"], ["CC", "GO:0000777", "condensed chromosome kinetochore", "10", "7.84E-08", "KIF2C, CENPM, HJURP, KNTC1, BUB1, BUB1B, CENPE, NDC80, CENPK, ZWILCH"], ["CC", "GO:0000779", "condensed chromosome, centromeric region", "10", "2.48E-07", "KIF2C, CENPM, HJURP, KNTC1, BUB1, BUB1B, CENPE, NDC80, CENPK, ZWILCH"]], "row_count": 16, "column_count": 6, "numeric_cells": 59, "header_rows": 1, "locator": "section[10]/table-wrap[1]#T2"}}, {"id": "asset:table:pmid:32476992:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:a435b08c2e5c4314e6fc6a5a4c36da05959d48c8d254ff266cc45e1e1c93b982", "bytes": 1985, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[11]/table-wrap[1]#T3", "version": null, "note": "The KEGG pathways of the DEGs aggregated in GSE45267, GSE60502 and GSE74656.", "structure": {"pmcid": "PMC7235396", "section_index": 11, "section_title": "Enriched KEGG Pathways", "row_count": 30, "column_count": 5}, "table": {"label": "Table 3", "caption": "The KEGG pathways of the DEGs aggregated in GSE45267, GSE60502 and GSE74656.", "rows": [["S. No.", "Term", "ID", "Input Number", "p"], ["1", "Metabolic pathways", "hsa01100", "38", "8.71E-12"], ["2", "Cell cycle", "hsa04110", "13", "1.48E-10"], ["3", "Chemical carcinogenesis", "hsa05204", "10", "5.45E-09"], ["4", "Retinol metabolism", "hsa00830", "9", "1.18E-08"], ["5", "Fatty acid degradation", "hsa00071", "8", "1.36E-08"], ["6", "Metabolism of xenobiotics by cytochrome P450", "hsa00980", "9", "2.65E-08"], ["7", "Drug metabolism - cytochrome P450", "hsa00982", "8", "2.46E-07"], ["8", "Tyrosine metabolism", "hsa00350", "6", "1.13E-06"], ["9", "p53 signaling pathway", "hsa04115", "7", "3.51E-06"], ["10", "Mineral absorption", "hsa04978", "6", "9.06E-06"], ["11", "Progesterone-mediated oocyte maturation", "hsa04914", "7", "2.80E-05"], ["12", "Caffeine metabolism", "hsa00232", "3", "3.15E-05"], ["13", "Glycolysis / Gluconeogenesis", "hsa00010", "6", "3.43E-05"], ["14", "Tryptophan metabolism", "hsa00380", "5", "3.66E-05"], ["15", "Oocyte meiosis", "hsa04114", "7", "0.0001"], ["16", "Linoleic acid metabolism", "hsa00591", "4", "0.000182"], ["17", "Steroid hormone biosynthesis", "hsa00140", "5", "0.000216"], ["18", "Arachidonic acid metabolism", "hsa00590", "5", "0.000286"], ["19", "Prion diseases", "hsa05020", "4", "0.000313"], ["20", "Bile secretion", "hsa04976", "5", "0.000448"], ["21", "PPAR signaling pathway", "hsa03320", "5", "0.000505"], ["22", "Primary bile acid biosynthesis", "hsa00120", "3", "0.000594"], ["23", "Complement and coagulation cascades", "hsa04610", "5", "0.00071"], ["24", "Drug metabolism - other enzymes", "hsa00983", "4", "0.000815"], ["25", "Melanoma", "hsa05218", "4", "0.004018"], ["26", "AMPK signaling pathway", "hsa04152", "5", "0.004832"], ["27", "FoxO signaling pathway", "hsa04068", "5", "0.006584"], ["28", "HTLV-I infection", "hsa05166", "7", "0.007323"], ["29", "Valine, leucine and isoleucine degradation", "hsa00280", "3", "0.008979"]], "row_count": 30, "column_count": 5, "numeric_cells": 119, "header_rows": 1, "locator": "section[11]/table-wrap[1]#T3"}}, {"id": "asset:table:pmid:32476992:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:b632da9ff8854ea0b138d21203aed590c0b055c645f0eb152c63277efe85dbc1", "bytes": 832, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[13]/table-wrap[1]#T4", "version": null, "note": "The HCC enrichment gene sets in GSE45267 by GSEA database.", "structure": {"pmcid": "PMC7235396", "section_index": 13, "section_title": "GSEA Analysis", "row_count": 6, "column_count": 5}, "table": {"label": "Table 4", "caption": "The HCC enrichment gene sets in GSE45267 by GSEA database.", "rows": [["Enrichment Gene Set", "NES", "NOM p-val", "FDR", "Top Ten Core Enriched Genes"], ["MITOTIC_SPINDLE", "1.611", "0.002", "0.214", "TTK, NDC80, RACGAP1, KIF4A, PRC1,TOP2A, ANLN, DLGAP5, KIF11, NUSAP1"], ["G2M_CHECKPOINT", "1.553", "0.004", "0.125", "TTK, NDC80, CDKN3, RACGAP1, KIF4A,PRC1, TOP2A, PBK, CDC20, HMMR"], ["E2F_TARGETS", "1.540", "0.004", "0.070", "GINS1, CDKN3, RACGAP1, KIF4A, TOP2A,BUB1B, CDC20, HMMR, EZH2, DLGAP5"], ["SPERMATOGENESIS", "1.550", "0.020", "0.097", "TTK, CDKN3, EZH2, NEK2, AURKA,CDK1, RFC4, CLGN, KIF2C, RPL39L"], ["DNA_REPAIR", "1.578", "0.032", "0.151", "ZWINT, RFC4, PRIM1, SAC3D1, FEN1,POLA1, TYMS, RFC5, PCNA, POLR3C"]], "row_count": 6, "column_count": 5, "numeric_cells": 19, "header_rows": 1, "locator": "section[13]/table-wrap[1]#T4"}}], "gaps": ["asset:data:geo:GSE45267 not downloaded", "asset:data:geo:GSE45267 licence not read", "asset:data:geo:GSE60502 not downloaded", "asset:data:geo:GSE60502 licence not read", "asset:data:geo:GSE74656 not downloaded", "asset:data:geo:GSE74656 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 0.7, "band": "medium", "quote": "limma"}}, {"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": 0.7, "band": "medium", "quote": "pathway enrichment"}}, {"id": "method-4", "family": null, "specific": null, "label": "survminer R package", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The association between each hub gene and prognosis of HCC patients was analyzed using “survminer” package [18] and p < 0.05 (unadjusted p value) was considered significant."}}], "targets": [], "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": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. 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