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pmid:26998004

Expression profile analysis based on DNA microarray for patients undergoing off-pump coronary artery bypass surgery.

Yunpeng Sun · Yongsheng Gao · Jingnan Sun · Xuguang Liu · Dashi Ma · Chunye Ma · Yong Wang

Experimental and therapeutic medicine · 2016 doi:10.3892/etm.2016.3003

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
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pmid:26998004
kind
science-record
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sha256:ea579c65e0f37df19de93d62fe3eee02e27b13d6b08dfc939aae2ae1c0240e0c
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:40:17Z
updated_at
2026-11-01T22:42:38Z
generator object · 2 fields
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corpus-assay-engine
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paper object · 10 fields
state
complete
title
Expression profile analysis based on DNA microarray for patients undergoing off-pump coronary artery bypass surgery.
doi
10.3892/etm.2016.3003
pmid
26998004
authors array · 7 items
[0]
Yunpeng Sun
[1]
Yongsheng Gao
[2]
Jingnan Sun
[3]
Xuguang Liu
[4]
Dashi Ma
[5]
Chunye Ma
[6]
Yong Wang
journal
Experimental and therapeutic medicine
year
2016
abstract
Off-pump coronary artery bypass (OPCAB) surgery is the most effective treatment for coronary heart disease. The aim of this study was to explore the effects of OPCAB on the basis of the associated molecular mechanisms. GSE12486 expression profiles downloaded from the Gene Expression Omnibus database (GEO) were analyzed to identify the differentially expressed genes (DEGs). Principal component analysis (PCA) was conducted based on the expression profiles of DEGs. Function and pathway enrichment of upregulated DEGs was performed, followed by protein-protein interaction (PPI) network construction. Gene Set Enrichment Analysis (GSEA) was used for miRNA enrichment analysis based on expression profiles and prediction of their association with the disease. Cytoscape was applied to construct miRNA regulatory networks of DEGs. In total 64 DEGs were identified, including 63 upregulated and 1 downregulated gene. The first principal component in the PCA analysis was able to distinguish between pre- and post-OPCAB samples. Upregulated DEGs mainly enriched 20 Gene Ontology terms, such as chemokine activity, and 5 pathways including the chemokine signaling pathway. The constructed PPI network contained 234 edges and 55 nodes, and 10 upregulated hub nodes, including FBJ murine osteosarcoma viral oncogene homolog (FOS), were screened. A total of 36 miRNAs, including MIR-224 and MIR-7, were screened by GSEA enrichment analysis. A miRNA regulatory network including 176 edges and 97 nodes was constructed, showing the regulatory relationships between miRNAs and DEGs. For example, early growth response 2 (EGR2) was regulated by 8 miRNAs including MIR-150, MIR-142-3P, MIR-367 and MIR-224. The identified DEGs might play important roles in patients pre- and post-OPCAB surgery via the regulation of associated genes.
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The limma multiple linear regression package (16) was applied for the calculation and analysis of DEGs, with further rectification by the Bayes method (17).
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sections[5] "Data preprocessing and DEG screening" paragraph 2
quote
The limma multiple linear regression package (16) was applied for the calculation and analysis of DEGs, with further rectification by the Bayes method (17).
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complete
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The gene expression profile GSE12486 was obtained from the Gene Expression Omnibus database (GEO; http://www.ncbi.nlm.nih.gov/geo/) (9).
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methodological
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sections[4] "Microarray data" paragraph 2
quote
The gene expression profile GSE12486 was obtained from the Gene Expression Omnibus database (GEO; http://www.ncbi.nlm.nih.gov/geo/) (9).
state
complete
[2] object · 6 fields
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claim-target-result
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The paper used the limma multiple linear regression package with Bayes-method rectification for differential expression analysis, using GSE12486 expression profiles downloaded from the Gene Expression Omnibus (GEO) database as the source data; it identified 64 DEGs, including 63 upregulated and 1 downregulated gene.
kind
qualitative
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null
evidence array · 3 items
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source:pmid:26998004
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sections[5] "Data preprocessing and DEG screening" paragraph 2
quote
The limma multiple linear regression package (16) was applied for the calculation and analysis of DEGs, with further rectification by the Bayes method (17).
[1] object · 3 fields
asset
source:pmid:26998004
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sections[0] "Abstract" paragraph 1
quote
GSE12486 expression profiles downloaded from the Gene Expression Omnibus database (GEO) were analyzed to identify the differentially expressed genes (DEGs).
[2] object · 3 fields
asset
source:pmid:26998004
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sections[0] "Abstract" paragraph 1
quote
In total 64 DEGs were identified, including 63 upregulated and 1 downregulated gene.
state
complete
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experiment object · 8 fields
state
complete
objective
The paper used the limma multiple linear regression package with Bayes-method rectification for differential expression analysis, using GSE12486 expression profiles downloaded from the Gene Expression Omnibus (GEO) database as the source data; it identified 64 DEGs, including 63 upregulated and 1 downregulated gene.
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read_published_estimate
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The claim, method and evidence span published with the source article.
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[0]
source:pmid:26998004
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the published estimate and its evidence
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obtain_source_data
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Obtain the source data from the named repository
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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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data:geo:GSE12486
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the source data with its repository provenance
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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 replicated result and its comparison
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10.3892/etm.2016.3003
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Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC4774345
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europe_pmc_fulltext
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whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE12486
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raw
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geo-series
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application/vnd.ncbi.geo-series+json
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE12486
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GSE12486
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The gene expression profile GSE12486 was obtained from the Gene Expression Omnibus database (GEO; http://www.ncbi.nlm.nih.gov/geo/) (9).
structure object · 15 fields
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GEO
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GEO accession URL
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The gene expression profile GSE12486 was obtained from the Gene Expression Omnibus database (GEO; http://www.ncbi.nlm.nih.gov/geo/) (9).
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GSM313629
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GSM313637
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GSM313638
[6]
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[7]
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[8]
GSM313641
[9]
GSM313642
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null
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null
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570
taxon
Homo sapiens
title
Changes in cardiac transcription profiles following on-pump coronary artery bypass grafting
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2026-11-01T15:39:54Z
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identifier_resolution_only_no_download_no_licence_read
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Significantly enriched miRNAs.
structure object · 5 fields
pmcid
PMC4774345
section_index
9
section_title
miRNA prediction analysis
row_count
37
column_count
6
table object · 8 fields
label
Table V.
caption
Significantly enriched miRNAs.
rows array · 37 items
[0] array · 6 items
[0]
Namea
[1]
Sizeb
[2]
ES
[3]
NES
[4]
NOM P-value
[5]
FDR q-value
[1] array · 6 items
[0]
GTGACTT, MIR-224
[1]
152
[2]
0.562058
[3]
1.822214
[4]
0
[5]
0.013101
[2] array · 6 items
[0]
GTCTTCC, MIR-7
[1]
163
[2]
0.437548
[3]
1.825578
[4]
0
[5]
0.013673
[3] array · 6 items
[0]
CAGGTCC, MIR-492
[1]
59
[2]
0.559375
[3]
1.757292
[4]
0
[5]
0.015391
[4] array · 6 items
[0]
AGCGCTT, MIR-518F, MIR-518E, MIR-518A
[1]
18
[2]
0.632514
[3]
1.786852
[4]
0.019417
[5]
0.015701
[5] array · 6 items
[0]
CTGTTAC, MIR-194
[1]
102
[2]
0.514465
[3]
1.748545
[4]
0
[5]
0.015956
[6] array · 6 items
[0]
ATTACAT, MIR-380-3P
[1]
100
[2]
0.568861
[3]
1.741315
[4]
0
[5]
0.01598
[7] array · 6 items
[0]
CAGGGTC, MIR-504
[1]
83
[2]
0.447092
[3]
1.763647
[4]
0
[5]
0.016012
[8] array · 6 items
[0]
CACTGCC, MIR-34A, MIR-34C, MIR-449
[1]
273
[2]
0.327004
[3]
1.722042
[4]
0
[5]
0.017363
[9] array · 6 items
[0]
GTAAACC, MIR-299–5P
[1]
51
[2]
0.518946
[3]
1.692057
[4]
0
[5]
0.018053
[10] array · 6 items
[0]
ACACTAC, MIR-142–3P
[1]
127
[2]
0.5551
[3]
1.722499
[4]
0
[5]
0.018404
[11] array · 6 items
[0]
TCTATGA, MIR-376A, MIR-376B
[1]
81
[2]
0.461825
[3]
1.694669
[4]
0.007561
[5]
0.018496
[12] array · 6 items
[0]
TTGGGAG, MIR-150
[1]
89
[2]
0.463794
[3]
1.681071
[4]
0
[5]
0.019215
[13] array · 6 items
[0]
GGCACAT, MIR-455
[1]
57
[2]
0.545086
[3]
1.868148
[4]
0
[5]
0.019345
[14] array · 6 items
[0]
GCGCCTT, MIR-525, MIR-524
[1]
15
[2]
0.735336
[3]
1.694803
[4]
0.020121
[5]
0.019371
[15] array · 6 items
[0]
ACTGCCT, MIR-34B
[1]
212
[2]
0.400143
[3]
1.70374
[4]
0
[5]
0.019561
[16] array · 6 items
[0]
GGCACTT, MIR-519E
[1]
120
[2]
0.49198
[3]
1.675179
[4]
0
[5]
0.020529
[17] array · 6 items
[0]
AGGCACT, MIR-515–3P
[1]
84
[2]
0.428035
[3]
1.666043
[4]
0
[5]
0.021838
[18] array · 6 items
[0]
GACTGTT, MIR-212, MIR-132
[1]
154
[2]
0.457287
[3]
1.655331
[4]
0
[5]
0.022945
[19] array · 6 items
[0]
TATTATA, MIR-374
[1]
282
[2]
0.49871
[3]
1.650721
[4]
0
[5]
0.023073
[20] array · 6 items
[0]
CACCAGC, MIR-138
[1]
217
[2]
0.31838
[3]
1.645393
[4]
0
[5]
0.024967
[21] array · 6 items
[0]
CTACCTC, LET-7A, LET-7B, LET-7C, LET-7D, LET-7E, LET-7F, MIR-98, LET-7G, LET-7I
[1]
375
[2]
0.358576
[3]
1.62671
[4]
0
[5]
0.03133
[22] array · 6 items
[0]
GAGCCAG, MIR-149
[1]
143
[2]
0.30404
[3]
1.62081
[4]
0
[5]
0.031399
[23] array · 6 items
[0]
CCACACA, MIR-147
[1]
59
[2]
0.485473
[3]
1.621963
[4]
0
[5]
0.032141
[24] array · 6 items
[0]
ACTTTAT, MIR-142–5P
[1]
283
[2]
0.475001
[3]
1.606214
[4]
0
[5]
0.034741
[25] array · 6 items
[0]
AAAGGAT, MIR-501
[1]
125
[2]
0.459692
[3]
1.600922
[4]
0
[5]
0.035487
[26] array · 6 items
[0]
AGCACTT, MIR-93, MIR-302A, MIR-302B, MIR-302C, MIR-302D, MIR-372, MIR-373, MIR-520E, MIR-520A, MIR-526B, MIR-520B, MIR-520C, MIR-520D
[1]
330
[2]
0.465894
[3]
1.606906
[4]
0.005814
[5]
0.035811
[27] array · 6 items
[0]
CACTTTG, MIR-520G, MIR-520H
[1]
230
[2]
0.487052
[3]
1.602
[4]
0.003876
[5]
0.036012
[28] array · 6 items
[0]
CAATGCA, MIR-33
[1]
91
[2]
0.479179
[3]
1.607379
[4]
0
[5]
0.036792
[29] array · 6 items
[0]
GTGCAAT, MIR-25, MIR-32, MIR-92, MIR-363, MIR-367
[1]
304
[2]
0.440998
[3]
1.581268
[4]
0
[5]
0.042634
[30] array · 6 items
[0]
ATGTTTC, MIR-494
[1]
155
[2]
0.455721
[3]
1.578166
[4]
0.015717
[5]
0.043117
[31] array · 6 items
[0]
GCAAAAA, MIR-129
[1]
182
[2]
0.431128
[3]
1.577369
[4]
0.031558
[5]
0.043279
[32] array · 6 items
[0]
GACAATC, MIR-219
[1]
138
[2]
0.403393
[3]
1.574232
[4]
0
[5]
0.0444
[33] array · 6 items
[0]
CTAGGAA, MIR-384
[1]
64
[2]
0.439962
[3]
1.566436
[4]
0
[5]
0.044528
[34] array · 6 items
[0]
CACTGTG, MIR-128A, MIR-128B
[1]
327
[2]
0.344783
[3]
1.567878
[4]
0.005941
[5]
0.045063
[35] array · 6 items
[0]
TATCTGG, MIR-488
[1]
60
[2]
0.520626
[3]
1.568708
[4]
0
[5]
0.045787
[36] array · 6 items
[0]
GGGCATT, MIR-365
[1]
107
[2]
0.509769
[3]
1.558457
[4]
0.003883
[5]
0.04858
locator
section[17]/table-wrap[1]#tV-etm-0-0-3003
[3] object · 16 fields
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asset:table:pmid:26998004:2
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Top 10 differentially expressed genes (DEGs).
structure object · 5 fields
pmcid
PMC4774345
section_index
13
section_title
Data standardization and DEG screening
row_count
11
column_count
3
table object · 8 fields
label
Table I.
caption
Top 10 differentially expressed genes (DEGs).
rows array · 11 items
[0] array · 3 items
[0]
DEG
[1]
Log2FC
[2]
P-value
[1] array · 3 items
[0]
FOS
[1]
3.855915
[2]
0.000293
[2] array · 3 items
[0]
CCL3
[1]
3.369698
[2]
1.05E-07
[3] array · 3 items
[0]
CCL3L1
[1]
3.369698
[2]
1.05E-07
[4] array · 3 items
[0]
CCL3L3
[1]
3.369698
[2]
1.05E-07
[5] array · 3 items
[0]
EGR2
[1]
3.149878
[2]
9.33E-06
[6] array · 3 items
[0]
NR4A2
[1]
3.015238
[2]
3.16E-05
[7] array · 3 items
[0]
ZFP36
[1]
2.983598
[2]
2.55E-06
[8] array · 3 items
[0]
FOSB
[1]
2.974505
[2]
0.000304
[9] array · 3 items
[0]
EGR3
[1]
2.961837
[2]
4.57E-05
[10] array · 3 items
[0]
CH25H
[1]
2.734594
[2]
0.000209
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section[13]/table-wrap[1]#tI-etm-0-0-3003
[4] object · 16 fields
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asset:table:pmid:26998004:3
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read_table
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section[15]/table-wrap[1]#tII-etm-0-0-3003
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null
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Functional enrichment analysis for upregulated DEGs.
structure object · 5 fields
pmcid
PMC4774345
section_index
15
section_title
GO and KEGG pathway enrichment analysis
row_count
21
column_count
5
table object · 8 fields
label
Table II.
caption
Functional enrichment analysis for upregulated DEGs.
rows array · 21 items
[0] array · 5 items
[0]
Category
[1]
GO id
[2]
Description
[3]
P-valuea
[4]
Genes
[1] array · 5 items
[0]
BP
[1]
GO:0007610
[2]
Behavior
[3]
1.57E-15
[4]
EGR1, IL6, CCL3, EGR2, CCL2, C5AR1, IL8, PTGS2, S100A9, CXCL2, NR4A2, CCL8, FOSB, NR4A3, CCL4, PROK2, FOS, CXCR4, CCL3L1, JUN, CCL3L3, CYR61
[2] array · 5 items
[0]
BP
[1]
GO:0042330
[2]
Taxis
[3]
2.21E-12
[4]
CCL3, IL6, CCL2, C5AR1, IL8, CXCL2, S100A9, CCL8, CCL4, PROK2, CXCR4, CCL3L1, CCL3L3, CYR61
[3] array · 5 items
[0]
BP
[1]
GO:0006935
[2]
Chemotaxis
[3]
2.21E-12
[4]
CCL3, IL6, CCL2, C5AR1, IL8, CXCL2, S100A9, CCL8, CCL4, PROK2, CXCR4, CCL3L1, CCL3L3, CYR61
[4] array · 5 items
[0]
BP
[1]
GO:0006954
[2]
Inflammatory response
[3]
3.29E-12
[4]
NFKBIZ, IL6, CCL3, CCL2, IL8, S100A8, CXCL2, S100A9, CCL8, CCL4, S100A12, FOS, PROK2, CXCR4, CCL3L1, CCL3L3, SELE
[5] array · 5 items
[0]
BP
[1]
GO:0007626
[2]
Locomotory behavior
[3]
8.03E-11
[4]
CCL3, IL6, CCL2, C5AR1, IL8, CXCL2, S100A9, NR4A2, CCL8, CCL4, PROK2, CXCR4, CCL3L1, CCL3L3, CYR61
[6] array · 5 items
[0]
BP
[1]
GO:0006952
[2]
Defense response
[3]
3.10E-10
[4]
NFKBIZ, IL6, CCL3, CCL2, C5AR1, IL8, S100A8, CXCL2, S100A9, CCL8, CCL4, S100A12, CD83, PROK2, FOS, CXCR4, CCL3L1, CCL3L3, SELE
[7] array · 5 items
[0]
BP
[1]
GO:0009611
[2]
Response to wounding
[3]
3.11E-09
[4]
NFKBIZ, IL6, CCL3, CCL2, IL8, S100A8, CXCL2, S100A9, CCL8, CCL4, S100A12, FOS, PROK2, CXCR4, CCL3L1, CCL3L3, SELE
[8] array · 5 items
[0]
BP
[1]
GO:0010033
[2]
Response to organic substance
[3]
3.51E-09
[4]
EGR1, IL6, EGR2, CCL2, PTGS2, SOCS3, NR4A2, NR4A3, PMAIP1, JUNB, CD83, FOS, DUSP1, BTG2, JUN, SELE, MYC, CYR61
[9] array · 5 items
[0]
BP
[1]
GO:0045944
[2]
Positive regulation of transcription from RNA polymerase II promoter
[3]
3.39E-07
[4]
EGR1, FOS, IL6, EGR2, JUN, CSRNP1, NR4A2, ABRA, NR4A3, MYC, KLF4, JUNB
[10] array · 5 items
[0]
BP
[1]
GO:0002237
[2]
Response to molecule of bacterial origin
[3]
1.55E-06
[4]
FOS, IL6, CCL2, PTGS2, SOCS3, JUN, SELE
[11] array · 5 items
[0]
MF
[1]
GO:0008009
[2]
Chemokine activity
[3]
2.25E-08
[4]
CCL3, CCL2, IL8, CCL3L1, CXCL2, CCL3L3, CCL8, CCL4
[12] array · 5 items
[0]
MF
[1]
GO:0042379
[2]
Chemokine receptor binding
[3]
3.34E-08
[4]
CCL3, CCL2, IL8, CCL3L1, CXCL2, CCL3L3, CCL8, CCL4
[13] array · 5 items
[0]
MF
[1]
GO:0003700
[2]
Transcription factor activity
[3]
2.99E-06
[4]
EGR1, MAFF, EGR3, EGR2, CEBPD, NR4A2, NR4A3, FOSB, JUNB, FOS, ATF3, JUN, CSRNP1, BHLHE40, MYC, KLF4
[14] array · 5 items
[0]
MF
[1]
GO:0005125
[2]
Cytokine activity
[3]
1.02E-05
[4]
CCL3, IL6, CCL2, IL8, CCL3L1, CXCL2, CCL3L3, CCL8, CCL4
[15] array · 5 items
[0]
MF
[1]
GO:0043565
[2]
Sequence-specific DNA binding
[3]
1.84E-05
[4]
EGR1, MAFF, FOS, ATF3, CEBPD, JUN, NR4A2, NR4A3, FOSB, MYC, KLF4, JUNB
[16] array · 5 items
[0]
MF
[1]
GO:0030528
[2]
Transcription regulator activity
[3]
3.70E-05
[4]
EGR1, MAFF, EGR3, EGR2, CEBPD, NR4A2, NR4A3, FOSB, JUNB, FOS, ATF3, JUN, CSRNP1, ABRA, BHLHE40, SIK1, MYC, KLF4
[17] array · 5 items
[0]
MF
[1]
GO:0003690
[2]
Double-stranded DNA binding
[3]
3.76E-05
[4]
EGR1, FOS, JUN, MYC, KLF4, JUNB
[18] array · 5 items
[0]
MF
[1]
GO:0043566
[2]
Structure-specific DNA binding
[3]
2.52E-04
[4]
EGR1, FOS, JUN, MYC, KLF4, JUNB
[19] array · 5 items
[0]
MF
[1]
GO:0003677
[2]
DNA binding
[3]
0.002359
[4]
ZFP36, EGR1, MAFF, EGR3, EGR2, CEBPD, NR4A2, NR4A3, FOSB, ZNF331, JUNB, FOS, ATF3, JUN, CSRNP1, BHLHE40, SOX17, MYC, KLF4
[20] array · 5 items
[0]
MF
[1]
GO:0008201
[2]
Heparin binding
[3]
0.007664
[4]
CCL2, CCL8, ADAMTS1, CYR61
locator
section[15]/table-wrap[1]#tII-etm-0-0-3003
[5] object · 16 fields
id
asset:table:pmid:26998004:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:56ae18669dcee773a919d8de5b60f8da5bede3c71a95be0f790d9ed32b803432
bytes
792
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[15]/table-wrap[2]#tIII-etm-0-0-3003
version
null
note
Results of KEGG pathway enrichment analysis for upregulated DEGs.
structure object · 5 fields
pmcid
PMC4774345
section_index
15
section_title
GO and KEGG pathway enrichment analysis
row_count
6
column_count
4
table object · 8 fields
label
Table III.
caption
Results of KEGG pathway enrichment analysis for upregulated DEGs.
rows array · 6 items
[0] array · 4 items
[0]
Term
[1]
Description
[2]
P-value
[3]
Genes
[1] array · 4 items
[0]
hsa04062
[1]
Chemokine signaling pathway
[2]
2.23E-05
[3]
CCL3, CCL2, IL8, CXCR4, CCL3L1, CXCL2, CCL3L3, CCL8, CCL4
[2] array · 4 items
[0]
hsa04060
[1]
Cytokine-cytokine receptor interaction
[2]
2.24E-05
[3]
CCL3, IL6, CCL2, IL8, CXCR4, CCL3L1, CXCL2, CCL3L3, CCL8, CCL4
[3] array · 4 items
[0]
hsa04620
[1]
Toll-like receptor signaling pathway
[2]
1.08E-04
[3]
FOS, CCL3, IL6, IL8, JUN, CCL4
[4] array · 4 items
[0]
hsa04621
[1]
NOD-like receptor signaling pathway
[2]
2.09E-04
[3]
IL6, CCL2, IL8, CXCL2, CCL8
[5] array · 4 items
[0]
hsa04010
[1]
MAPK signaling pathway
[2]
0.008586
[3]
DUSP5, FOS, DUSP1, JUN, GADD45B, MYC
locator
section[15]/table-wrap[2]#tIII-etm-0-0-3003
[6] object · 16 fields
id
asset:table:pmid:26998004:5
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:675960d9017851e499766d08bc72215f48259c31b83fcded9551b2595a201cdf
bytes
640
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[16]/table-wrap[1]#tIV-etm-0-0-3003
version
null
note
Top 10 nodes in the protein-protein interaction network.
structure object · 5 fields
pmcid
PMC4774345
section_index
16
section_title
PPI network construction
row_count
6
column_count
8
table object · 8 fields
label
Table IV.
caption
Top 10 nodes in the protein-protein interaction network.
rows array · 6 items
[0] array · 8 items
[0]
Node
[1]
Degree
[2]
Log2FC
[3]
P-value
[4]
Node
[5]
Degree
[6]
Log2FC
[7]
P-value
[1] array · 8 items
[0]
FOS
[1]
33
[2]
3.855915
[3]
0.000293
[4]
JUNB
[5]
23
[6]
1.970841
[7]
8.05E-05
[2] array · 8 items
[0]
JUN
[1]
25
[2]
1.174318
[3]
0.00015
[4]
PTGS2
[5]
19
[6]
1.582406
[7]
0.000342
[3] array · 8 items
[0]
ATF3
[1]
25
[2]
1.655723
[3]
1.62E-05
[4]
EGR1
[5]
18
[6]
2.609822
[7]
3.79E-06
[4] array · 8 items
[0]
IL6
[1]
24
[2]
1.942007
[3]
0.000494
[4]
EGR2
[5]
18
[6]
3.149878
[7]
9.33E-06
[5] array · 8 items
[0]
FOSB
[1]
23
[2]
2.974505
[3]
0.000304
[4]
NR4A2
[5]
18
[6]
3.015238
[7]
3.16E-05
locator
section[16]/table-wrap[1]#tIV-etm-0-0-3003
[7] object · 16 fields
id
asset:table:pmid:26998004:6
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:d60fcaa721dac8681e0ba0cef730f59db0ea407b958dddb1d2a3eaa86d638476
bytes
2912
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[17]/table-wrap[1]#tV-etm-0-0-3003
version
null
note
Significantly enriched miRNAs.
structure object · 5 fields
pmcid
PMC4774345
section_index
17
section_title
miRNA prediction analysis
row_count
37
column_count
6
table object · 8 fields
label
Table V.
caption
Significantly enriched miRNAs.
rows array · 37 items
[0] array · 6 items
[0]
Namea
[1]
Sizeb
[2]
ES
[3]
NES
[4]
NOM P-value
[5]
FDR q-value
[1] array · 6 items
[0]
GTGACTT, MIR-224
[1]
152
[2]
0.562058
[3]
1.822214
[4]
0
[5]
0.013101
[2] array · 6 items
[0]
GTCTTCC, MIR-7
[1]
163
[2]
0.437548
[3]
1.825578
[4]
0
[5]
0.013673
[3] array · 6 items
[0]
CAGGTCC, MIR-492
[1]
59
[2]
0.559375
[3]
1.757292
[4]
0
[5]
0.015391
[4] array · 6 items
[0]
AGCGCTT, MIR-518F, MIR-518E, MIR-518A
[1]
18
[2]
0.632514
[3]
1.786852
[4]
0.019417
[5]
0.015701
[5] array · 6 items
[0]
CTGTTAC, MIR-194
[1]
102
[2]
0.514465
[3]
1.748545
[4]
0
[5]
0.015956
[6] array · 6 items
[0]
ATTACAT, MIR-380-3P
[1]
100
[2]
0.568861
[3]
1.741315
[4]
0
[5]
0.01598
[7] array · 6 items
[0]
CAGGGTC, MIR-504
[1]
83
[2]
0.447092
[3]
1.763647
[4]
0
[5]
0.016012
[8] array · 6 items
[0]
CACTGCC, MIR-34A, MIR-34C, MIR-449
[1]
273
[2]
0.327004
[3]
1.722042
[4]
0
[5]
0.017363
[9] array · 6 items
[0]
GTAAACC, MIR-299–5P
[1]
51
[2]
0.518946
[3]
1.692057
[4]
0
[5]
0.018053
[10] array · 6 items
[0]
ACACTAC, MIR-142–3P
[1]
127
[2]
0.5551
[3]
1.722499
[4]
0
[5]
0.018404
[11] array · 6 items
[0]
TCTATGA, MIR-376A, MIR-376B
[1]
81
[2]
0.461825
[3]
1.694669
[4]
0.007561
[5]
0.018496
[12] array · 6 items
[0]
TTGGGAG, MIR-150
[1]
89
[2]
0.463794
[3]
1.681071
[4]
0
[5]
0.019215
[13] array · 6 items
[0]
GGCACAT, MIR-455
[1]
57
[2]
0.545086
[3]
1.868148
[4]
0
[5]
0.019345
[14] array · 6 items
[0]
GCGCCTT, MIR-525, MIR-524
[1]
15
[2]
0.735336
[3]
1.694803
[4]
0.020121
[5]
0.019371
[15] array · 6 items
[0]
ACTGCCT, MIR-34B
[1]
212
[2]
0.400143
[3]
1.70374
[4]
0
[5]
0.019561
[16] array · 6 items
[0]
GGCACTT, MIR-519E
[1]
120
[2]
0.49198
[3]
1.675179
[4]
0
[5]
0.020529
[17] array · 6 items
[0]
AGGCACT, MIR-515–3P
[1]
84
[2]
0.428035
[3]
1.666043
[4]
0
[5]
0.021838
[18] array · 6 items
[0]
GACTGTT, MIR-212, MIR-132
[1]
154
[2]
0.457287
[3]
1.655331
[4]
0
[5]
0.022945
[19] array · 6 items
[0]
TATTATA, MIR-374
[1]
282
[2]
0.49871
[3]
1.650721
[4]
0
[5]
0.023073
[20] array · 6 items
[0]
CACCAGC, MIR-138
[1]
217
[2]
0.31838
[3]
1.645393
[4]
0
[5]
0.024967
[21] array · 6 items
[0]
CTACCTC, LET-7A, LET-7B, LET-7C, LET-7D, LET-7E, LET-7F, MIR-98, LET-7G, LET-7I
[1]
375
[2]
0.358576
[3]
1.62671
[4]
0
[5]
0.03133
[22] array · 6 items
[0]
GAGCCAG, MIR-149
[1]
143
[2]
0.30404
[3]
1.62081
[4]
0
[5]
0.031399
[23] array · 6 items
[0]
CCACACA, MIR-147
[1]
59
[2]
0.485473
[3]
1.621963
[4]
0
[5]
0.032141
[24] array · 6 items
[0]
ACTTTAT, MIR-142–5P
[1]
283
[2]
0.475001
[3]
1.606214
[4]
0
[5]
0.034741
[25] array · 6 items
[0]
AAAGGAT, MIR-501
[1]
125
[2]
0.459692
[3]
1.600922
[4]
0
[5]
0.035487
[26] array · 6 items
[0]
AGCACTT, MIR-93, MIR-302A, MIR-302B, MIR-302C, MIR-302D, MIR-372, MIR-373, MIR-520E, MIR-520A, MIR-526B, MIR-520B, MIR-520C, MIR-520D
[1]
330
[2]
0.465894
[3]
1.606906
[4]
0.005814
[5]
0.035811
[27] array · 6 items
[0]
CACTTTG, MIR-520G, MIR-520H
[1]
230
[2]
0.487052
[3]
1.602
[4]
0.003876
[5]
0.036012
[28] array · 6 items
[0]
CAATGCA, MIR-33
[1]
91
[2]
0.479179
[3]
1.607379
[4]
0
[5]
0.036792
[29] array · 6 items
[0]
GTGCAAT, MIR-25, MIR-32, MIR-92, MIR-363, MIR-367
[1]
304
[2]
0.440998
[3]
1.581268
[4]
0
[5]
0.042634
[30] array · 6 items
[0]
ATGTTTC, MIR-494
[1]
155
[2]
0.455721
[3]
1.578166
[4]
0.015717
[5]
0.043117
[31] array · 6 items
[0]
GCAAAAA, MIR-129
[1]
182
[2]
0.431128
[3]
1.577369
[4]
0.031558
[5]
0.043279
[32] array · 6 items
[0]
GACAATC, MIR-219
[1]
138
[2]
0.403393
[3]
1.574232
[4]
0
[5]
0.0444
[33] array · 6 items
[0]
CTAGGAA, MIR-384
[1]
64
[2]
0.439962
[3]
1.566436
[4]
0
[5]
0.044528
[34] array · 6 items
[0]
CACTGTG, MIR-128A, MIR-128B
[1]
327
[2]
0.344783
[3]
1.567878
[4]
0.005941
[5]
0.045063
[35] array · 6 items
[0]
TATCTGG, MIR-488
[1]
60
[2]
0.520626
[3]
1.568708
[4]
0
[5]
0.045787
[36] array · 6 items
[0]
GGGCATT, MIR-365
[1]
107
[2]
0.509769
[3]
1.558457
[4]
0.003883
[5]
0.04858
locator
section[17]/table-wrap[1]#tV-etm-0-0-3003
gaps array · 2 items
[0]
asset:data:geo:GSE12486 not downloaded
[1]
asset:data:geo:GSE12486 licence not read
analysis object · 4 fields
state
partial
methods array · 5 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
1
band
verbatim
quote
The limma multiple linear regression package (16) was applied for the calculation and analysis of DEGs, with further rectification by the Bayes method (17).
[1] object · 10 fields
id
method-2
family
principal_component_analysis
specific
pca
label
Principal component analysis
dsl_operations array · 1 item
[0]
pca_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
wide_numeric_matrix
evidence object · 3 fields
score
0.7
band
medium
quote
Principal component analysis
[2] object · 10 fields
id
method-3
family
regression_modelling
specific
ols
label
Regression modelling
dsl_operations array · 1 item
[0]
ols_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
0.8
band
high
quote
linear regression
[3] object · 10 fields
id
method-4
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
[4] object · 10 fields
id
method-5
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
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 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 · 1 item
[0]
GSE12486
resolved_accessions array · 1 item
[0]
GSE12486
statements array · 1 item
[0]
The gene expression profile GSE12486 was obtained from the Gene Expression Omnibus database (GEO; http://www.ncbi.nlm.nih.gov/geo/) (9).
basis
The paper names GSE12486 in Gene Expression Omnibus database (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 8 items
[0]
source:pmid:26998004
[1]
data:geo:GSE12486
[2]
asset:table:pmid:26998004:1
[3]
asset:table:pmid:26998004:2
[4]
asset:table:pmid:26998004:3
[5]
asset:table:pmid:26998004:4
[6]
asset:table:pmid:26998004:5
[7]
asset:table:pmid:26998004:6
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:GSE12486
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
2026-10-31T18:28:00Z
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
null
calls
8
usage object · 3 fields
prompt_tokens
61504
completion_tokens
1923
cached_tokens
30720
stages array · 1 item
[0] object · 4 fields
id
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Expression profile analysis based on DNA microarray for patients undergoing off-pump coronary ar
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and 10 upregulated hub nodes, including FBJ murine osteosarcoma viral oncogene homolog (FOS), w
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The limma multiple linear regression package (16) was applied for the calculation and analysis of DEGs, with further rectification by the Bayes method (17).
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Complete file
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The aim of this study was to explore the effects of OPCAB on the basis of the associated molecular mechanisms. GSE12486 expression profiles downloaded from the Gene Expression Omnibus database (GEO) were analyzed to identify the differentially expressed genes (DEGs). Principal component analysis (PCA) was conducted based on the expression profiles of DEGs. Function and pathway enrichment of upregulated DEGs was performed, followed by protein-protein interaction (PPI) network construction. Gene Set Enrichment Analysis (GSEA) was used for miRNA enrichment analysis based on expression profiles and prediction of their association with the disease. Cytoscape was applied to construct miRNA regulatory networks of DEGs. In total 64 DEGs were identified, including 63 upregulated and 1 downregulated gene. The first principal component in the PCA analysis was able to distinguish between pre- and post-OPCAB samples. Upregulated DEGs mainly enriched 20 Gene Ontology terms, such as chemokine activity, and 5 pathways including the chemokine signaling pathway. The constructed PPI network contained 234 edges and 55 nodes, and 10 upregulated hub nodes, including FBJ murine osteosarcoma viral oncogene homolog (FOS), were screened. A total of 36 miRNAs, including MIR-224 and MIR-7, were screened by GSEA enrichment analysis. A miRNA regulatory network including 176 edges and 97 nodes was constructed, showing the regulatory relationships between miRNAs and DEGs. For example, early growth response 2 (EGR2) was regulated by 8 miRNAs including MIR-150, MIR-142-3P, MIR-367 and MIR-224. 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"version": null, "note": "Top 10 differentially expressed genes (DEGs).", "structure": {"pmcid": "PMC4774345", "section_index": 13, "section_title": "Data standardization and DEG screening", "row_count": 11, "column_count": 3}, "table": {"label": "Table I.", "caption": "Top 10 differentially expressed genes (DEGs).", "rows": [["DEG", "Log2FC", "P-value"], ["FOS", "3.855915", "0.000293"], ["CCL3", "3.369698", "1.05E-07"], ["CCL3L1", "3.369698", "1.05E-07"], ["CCL3L3", "3.369698", "1.05E-07"], ["EGR2", "3.149878", "9.33E-06"], ["NR4A2", "3.015238", "3.16E-05"], ["ZFP36", "2.983598", "2.55E-06"], ["FOSB", "2.974505", "0.000304"], ["EGR3", "2.961837", "4.57E-05"], ["CH25H", "2.734594", "0.000209"]], "row_count": 11, "column_count": 3, "numeric_cells": 22, "header_rows": 1, "locator": "section[13]/table-wrap[1]#tI-etm-0-0-3003"}}, {"id": "asset:table:pmid:26998004:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": 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["BP", "GO:0045944", "Positive regulation of transcription from RNA polymerase II promoter", "3.39E-07", "EGR1, FOS, IL6, EGR2, JUN, CSRNP1, NR4A2, ABRA, NR4A3, MYC, KLF4, JUNB"], ["BP", "GO:0002237", "Response to molecule of bacterial origin", "1.55E-06", "FOS, IL6, CCL2, PTGS2, SOCS3, JUN, SELE"], ["MF", "GO:0008009", "Chemokine activity", "2.25E-08", "CCL3, CCL2, IL8, CCL3L1, CXCL2, CCL3L3, CCL8, CCL4"], ["MF", "GO:0042379", "Chemokine receptor binding", "3.34E-08", "CCL3, CCL2, IL8, CCL3L1, CXCL2, CCL3L3, CCL8, CCL4"], ["MF", "GO:0003700", "Transcription factor activity", "2.99E-06", "EGR1, MAFF, EGR3, EGR2, CEBPD, NR4A2, NR4A3, FOSB, JUNB, FOS, ATF3, JUN, CSRNP1, BHLHE40, MYC, KLF4"], ["MF", "GO:0005125", "Cytokine activity", "1.02E-05", "CCL3, IL6, CCL2, IL8, CCL3L1, CXCL2, CCL3L3, CCL8, CCL4"], ["MF", "GO:0043565", "Sequence-specific DNA binding", "1.84E-05", "EGR1, MAFF, FOS, ATF3, CEBPD, JUN, NR4A2, NR4A3, FOSB, MYC, KLF4, JUNB"], ["MF", "GO:0030528", "Transcription regulator 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["hsa04010", "MAPK signaling pathway", "0.008586", "DUSP5, FOS, DUSP1, JUN, GADD45B, MYC"]], "row_count": 6, "column_count": 4, "numeric_cells": 11, "header_rows": 1, "locator": "section[15]/table-wrap[2]#tIII-etm-0-0-3003"}}, {"id": "asset:table:pmid:26998004:5", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:675960d9017851e499766d08bc72215f48259c31b83fcded9551b2595a201cdf", "bytes": 640, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[16]/table-wrap[1]#tIV-etm-0-0-3003", "version": null, "note": "Top 10 nodes in the protein-protein interaction network.", "structure": {"pmcid": "PMC4774345", "section_index": 16, "section_title": "PPI network construction", "row_count": 6, "column_count": 8}, "table": {"label": "Table IV.", "caption": "Top 10 nodes in the protein-protein interaction network.", "rows": [["Node", "Degree", "Log2FC", "P-value", "Node", "Degree", "Log2FC", "P-value"], ["FOS", "33", "3.855915", "0.000293", "JUNB", "23", "1.970841", "8.05E-05"], ["JUN", "25", "1.174318", "0.00015", "PTGS2", "19", "1.582406", "0.000342"], ["ATF3", "25", "1.655723", "1.62E-05", "EGR1", "18", "2.609822", "3.79E-06"], ["IL6", "24", "1.942007", "0.000494", "EGR2", "18", "3.149878", "9.33E-06"], ["FOSB", "23", "2.974505", "0.000304", "NR4A2", "18", "3.015238", "3.16E-05"]], "row_count": 6, "column_count": 8, "numeric_cells": 30, "header_rows": 1, "locator": "section[16]/table-wrap[1]#tIV-etm-0-0-3003"}}, {"id": "asset:table:pmid:26998004:6", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:d60fcaa721dac8681e0ba0cef730f59db0ea407b958dddb1d2a3eaa86d638476", "bytes": 2912, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[17]/table-wrap[1]#tV-etm-0-0-3003", "version": null, "note": "Significantly enriched miRNAs.", "structure": {"pmcid": "PMC4774345", "section_index": 17, "section_title": "miRNA prediction analysis", "row_count": 37, "column_count": 6}, "table": {"label": "Table V.", "caption": "Significantly enriched miRNAs.", "rows": [["Namea", "Sizeb", "ES", "NES", "NOM P-value", "FDR q-value"], ["GTGACTT, MIR-224", "152", "0.562058", "1.822214", "0", "0.013101"], ["GTCTTCC, MIR-7", "163", "0.437548", "1.825578", "0", "0.013673"], ["CAGGTCC, MIR-492", "59", "0.559375", "1.757292", "0", "0.015391"], ["AGCGCTT, MIR-518F, MIR-518E, MIR-518A", "18", "0.632514", "1.786852", "0.019417", "0.015701"], ["CTGTTAC, MIR-194", "102", "0.514465", "1.748545", "0", "0.015956"], ["ATTACAT, MIR-380-3P", "100", "0.568861", "1.741315", "0", "0.01598"], ["CAGGGTC, MIR-504", "83", "0.447092", "1.763647", "0", "0.016012"], ["CACTGCC, MIR-34A, MIR-34C, MIR-449", "273", "0.327004", "1.722042", "0", "0.017363"], ["GTAAACC, MIR-299–5P", "51", "0.518946", "1.692057", "0", "0.018053"], ["ACACTAC, 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["CCACACA, MIR-147", "59", "0.485473", "1.621963", "0", "0.032141"], ["ACTTTAT, MIR-142–5P", "283", "0.475001", "1.606214", "0", "0.034741"], ["AAAGGAT, MIR-501", "125", "0.459692", "1.600922", "0", "0.035487"], ["AGCACTT, MIR-93, MIR-302A, MIR-302B, MIR-302C, MIR-302D, MIR-372, MIR-373, MIR-520E, MIR-520A, MIR-526B, MIR-520B, MIR-520C, MIR-520D", "330", "0.465894", "1.606906", "0.005814", "0.035811"], ["CACTTTG, MIR-520G, MIR-520H", "230", "0.487052", "1.602", "0.003876", "0.036012"], ["CAATGCA, MIR-33", "91", "0.479179", "1.607379", "0", "0.036792"], ["GTGCAAT, MIR-25, MIR-32, MIR-92, MIR-363, MIR-367", "304", "0.440998", "1.581268", "0", "0.042634"], ["ATGTTTC, MIR-494", "155", "0.455721", "1.578166", "0.015717", "0.043117"], ["GCAAAAA, MIR-129", "182", "0.431128", "1.577369", "0.031558", "0.043279"], ["GACAATC, MIR-219", "138", "0.403393", "1.574232", "0", "0.0444"], ["CTAGGAA, MIR-384", "64", "0.439962", "1.566436", "0", "0.044528"], ["CACTGTG, MIR-128A, MIR-128B", "327", 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