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pmid:25907774

Gene expression of OCT4, SOX2, KLF4 and MYC (OSKM) induced pluripotent stem cells: identification for potential mechanisms.

Yanning Cai · Xianhua Dai · Qianhua Zhang · Zhiming Dai

Diagnostic pathology · 2015 doi:10.1186/s13000-015-0263-7

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complete

Experiment

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:25907774
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science-record
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2026-11-01T15:40:08Z
updated_at
2026-11-01T22:42:13Z
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paper object · 10 fields
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title
Gene expression of OCT4, SOX2, KLF4 and MYC (OSKM) induced pluripotent stem cells: identification for potential mechanisms.
doi
10.1186/s13000-015-0263-7
pmid
25907774
authors array · 4 items
[0]
Yanning Cai
[1]
Xianhua Dai
[2]
Qianhua Zhang
[3]
Zhiming Dai
journal
Diagnostic pathology
year
2015
abstract
BACKGROUND: Somatic cells could be reprogrammed to induced pluripotent stem cells (iPS) by ectopic expression of OCT4, SOX2, KLF4 and MYC (OSKM). We aimed to gain insights into the early mechanisms underlying the induction of pluripotency. METHODS: GSE28688 containing 14 gene expression profiles were downloaded from GEO, including untreated human neonatal foreskin fibroblasts (HFF1) as control, OSKM-induced HFF1 (at 24, 48, 72 h post-transduction of OSKM encoding viruses), two iPS cell lines, and two embryonic stem (ES) cell lines. Differentially expressed genes (DEGs) were screened between different cell lines and the control by Limma package in Bioconductor. KEGG pathway enrichment analysis was performed by DAVID. The STRING database was used to construct protein-protein interaction (PPI) network. Activities and regulatory networks of transcription factors (TFs) were calculated and constructed by Fast Network Component Analysis (FastNCA). RESULTS: Compared with untreated HFF1, 117, 347, 557, 2263 and 2307 DEGs were obtained from three point post-transduction HFF1, iPS and ES cells. Meanwhile, up-regulated DEGs in first two days of HFF1 were mainly enriched in RIG-I-like receptor (RLR) and Toll-like receptor (TLR) signaling pathways. Down-regulated DEGs at 72 h were significantly enriched in focal adhesion pathway which was similar to iPS cells. Moreover, ISG15, IRF7, STAT1 and DDX58 were with higher degree in PPI networks during time series. Furthermore, the targets of six selected TFs were mainly enriched in screened DEGs. CONCLUSION: In this study, screened DEGs including ISG15, IRF7 and CCL5 participated in OSKM-induced pluripotency might attenuate immune response post-transduction through RLR and TLR signaling pathways. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/2503890341543007 .
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DEGs were identified from different comparisons between OSKM-induced HFF1 cells and the control, between iPS cells and the control, between ES cells and the control using Limma package [17] in Bioconductor with a t-test under Benjamini Hochberg correction [18].
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sections[4] "Data preprocessing and DEGs screening" paragraph 2
quote
DEGs were identified from different comparisons between OSKM-induced HFF1 cells and the control, between iPS cells and the control, between ES cells and the control using Limma package [17] in Bioconductor with a t-test under Benjamini Hochberg correction [18].
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The microarray data under the accession number GSE28688 is available at the NCBI Gene Expression Omnibus database (http://www.ncbi.nlm.nih.gov/geo/)
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sections[3] "Microarray data" paragraph 2
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The microarray data under the accession number GSE28688 is available at the NCBI Gene Expression Omnibus database (http://www.ncbi.nlm.nih.gov/geo/)
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The study analyzed the GSE28688 microarray dataset downloaded from GEO and used the Limma package in Bioconductor to identify differentially expressed genes, identifying 117, 347, 557, 2263 and 2307 DEGs in the 24 h, 48 h, 72 h, iPS and ES comparisons, respectively.
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sections[0] "Abstract" paragraph 2
quote
GSE28688 containing 14 gene expression profiles were downloaded from GEO, including untreated human neonatal foreskin fibroblasts (HFF1) as control, OSKM-induced HFF1 (at 24, 48, 72 h post-transduction of OSKM encoding viruses), two iPS cell lines, and two embryonic stem (ES) cell lines.
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sections[0] "Abstract" paragraph 2
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Differentially expressed genes (DEGs) were screened between different cell lines and the control by Limma package in Bioconductor.
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source:pmid:25907774
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sections[0] "Abstract" paragraph 3
quote
Compared with untreated HFF1, 117, 347, 557, 2263 and 2307 DEGs were obtained from three point post-transduction HFF1, iPS and ES cells.
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The study analyzed the GSE28688 microarray dataset downloaded from GEO and used the Limma package in Bioconductor to identify differentially expressed genes, identifying 117, 347, 557, 2263 and 2307 DEGs in the 24 h, 48 h, 72 h, iPS and ES comparisons, respectively.
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Molecular insights into induced pluripotency mediated by the OCT4, SOX2, KLF and c-MYC gene regulatory network
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KEGG pathway enrichment analysis
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Table 2
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Enriched KEGG pathways in different contrastive groups
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[0] array · 5 items
[0]
[1]
[2]
KEGG pathway
[3]
Count
[4]
P value
[1] array · 5 items
[0]
HFF1_24 h vs HFF1
[1]
Up-regulated gene
[2]
hsa04622: RIG-I-like receptor signaling pathway
[3]
6
[4]
9.35E-05
[2] array · 3 items
[0]
hsa04620: Toll-like receptor signaling pathway
[1]
5
[2]
0.0043
[3] array · 3 items
[0]
hsa04623: Cytosolic DNA-sensing pathway
[1]
4
[2]
0.0057
[4] array · 5 items
[0]
HFF1_48 h vs HFF1
[1]
Up-regulated gene
[2]
hsa04620: Toll-like receptor signaling pathway
[3]
6
[4]
0.0209
[5] array · 3 items
[0]
hsa04622: RIG-I-like receptor signaling pathway
[1]
5
[2]
0.0249
[6] array · 4 items
[0]
Down-regulated gene
[1]
hsa05410: Hypertrophic cardiomyopathy (HCM)
[2]
4
[3]
0.0479
[7] array · 5 items
[0]
HFF1_72 h vs HFF1
[1]
Up-regulated gene
[2]
hsa00330: Arginine and proline metabolism
[3]
6
[4]
0.0076
[8] array · 3 items
[0]
hsa00480: Glutathione metabolism
[1]
5
[2]
0.0287
[9] array · 3 items
[0]
hsa00250: Alanine, aspartate and glutamate metabolism
[1]
4
[2]
0.0349
[10] array · 4 items
[0]
Down-regulated gene
[1]
hsa04510: Focal adhesion
[2]
13
[3]
4.57E-05
[11] array · 3 items
[0]
hsa04810: Regulation of actin cytoskeleton
[1]
10
[2]
0.0056
[12] array · 3 items
[0]
hsa05200: Pathways in cancer
[1]
11
[2]
0.0272
[13] array · 5 items
[0]
ES vs HFF1
[1]
Up-regulated gene
[2]
hsa05217: Basal cell carcinoma
[3]
14
[4]
9.58E-06
[14] array · 3 items
[0]
hsa04310: Wnt signaling pathway
[1]
22
[2]
1.28E-04
[15] array · 3 items
[0]
hsa05200: Pathways in cancer
[1]
36
[2]
2.29E-04
[16] array · 3 items
[0]
hsa00330: Arginine and proline metabolism
[1]
10
[2]
0.0029
[17] array · 4 items
[0]
Down-regulated gene
[1]
hsa04510: Focal adhesion
[2]
40
[3]
8.73E-08
[18] array · 3 items
[0]
hsa00520: Amino sugar and nucleotide sugar metabolism
[1]
13
[2]
1.09E-04
[19] array · 3 items
[0]
hsa04512: ECM-receptor interaction
[1]
18
[2]
2.52E-04
[20] array · 3 items
[0]
hsa04142: Lysosome
[1]
20
[2]
0.0019
[21] array · 5 items
[0]
iPS vs HFF1
[1]
Up-regulated gene
[2]
hsa04310: Wnt signaling pathway
[3]
16
[4]
2.39E-04
[22] array · 3 items
[0]
hsa05217: Basal cell carcinoma
[1]
8
[2]
0.0029
[23] array · 3 items
[0]
hsa00250: Alanine, aspartate and glutamate metabolism
[1]
6
[2]
0.0041
[24] array · 3 items
[0]
hsa00260: Glycine, serine and threonine metabolism
[1]
6
[2]
0.0041
[25] array · 4 items
[0]
Down-regulated gene
[1]
hsa04510: Focal adhesion
[2]
56
[3]
1.46E-11
[26] array · 3 items
[0]
hsa04512: ECM-receptor interaction
[1]
27
[2]
3.06E-07
[27] array · 3 items
[0]
hsa00520: Amino sugar and nucleotide sugar metabolism
[1]
16
[2]
2.84E-05
[28] array · 3 items
[0]
hsa04810: Regulation of actin cytoskeleton
[1]
42
[2]
1.43E-04
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section[10]/table-wrap[1]#Tab2
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section[11]/table-wrap[1]#Tab3
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The numbers of nodes and edges in protein-protein interaction networks of different contrasts
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pmcid
PMC4414430
section_index
6
section_title
PPI network construction
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6
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Table 3
caption
The numbers of nodes and edges in protein-protein interaction networks of different contrasts
rows array · 6 items
[0] array · 3 items
[0]
[1]
The number of nodes
[2]
The number of edges
[1] array · 3 items
[0]
HFF1_24 h
[1]
80
[2]
931
[2] array · 3 items
[0]
HFF1_48 h
[1]
217
[2]
1290
[3] array · 3 items
[0]
HFF1_72 h
[1]
358
[2]
1838
[4] array · 3 items
[0]
ES
[1]
1737
[2]
9067
[5] array · 3 items
[0]
iPS
[1]
1829
[2]
11765
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section[11]/table-wrap[1]#Tab3
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Degree of differentially expressed proteins in protein-protein interaction network
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PMC4414430
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6
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PPI network construction
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Table 4
caption
Degree of differentially expressed proteins in protein-protein interaction network
rows array · 12 items
[0] array · 5 items
[0]
HFF1_24 h
[1]
HFF1_48 h
[2]
HFF1_72 h
[3]
ES
[4]
iPS
[1] array · 10 items
[0]
Gene
[1]
Degree
[2]
Gene
[3]
Degree
[4]
Gene
[5]
Degree
[6]
Gene
[7]
Degree
[8]
Gene
[9]
Degree
[2] array · 10 items
[0]
ISG15
[1]
50
[2]
STAT1
[3]
59
[4]
STAT1
[5]
52
[6]
TSPO
[7]
206
[8]
TSPO
[9]
224
[3] array · 10 items
[0]
STAT1
[1]
50
[2]
ISG15
[3]
51
[4]
ISG15
[5]
44
[6]
TP53
[7]
168
[8]
TP53
[9]
182
[4] array · 10 items
[0]
DDX58
[1]
48
[2]
IFIT3
[3]
49
[4]
IRF7
[5]
41
[6]
CCND1
[7]
106
[8]
FN1
[9]
138
[5] array · 10 items
[0]
IFIT3
[1]
47
[2]
IRF7
[3]
49
[4]
DDX58
[5]
40
[6]
CDH1
[7]
104
[8]
IL6
[9]
136
[6] array · 10 items
[0]
IRF7
[1]
47
[2]
DDX58
[3]
48
[4]
TOP2A
[5]
40
[6]
MYC
[7]
96
[8]
GAPDH
[9]
131
[7] array · 10 items
[0]
MX1
[1]
47
[2]
IFIT1
[3]
48
[4]
MX17
[5]
39
[6]
FGF2
[7]
87
[8]
CCND1
[9]
117
[8] array · 10 items
[0]
RTP4
[1]
46
[2]
IFI35
[3]
47
[4]
CENPF
[5]
38
[6]
CD44
[7]
83
[8]
CDK1
[9]
117
[9] array · 10 items
[0]
IFIH1
[1]
45
[2]
RTP4
[3]
47
[4]
KIF2C
[5]
38
[6]
MMP9
[7]
82
[8]
CDH1
[9]
108
[10] array · 10 items
[0]
IFIT1
[1]
45
[2]
MX1
[3]
47
[4]
ASPM
[5]
38
[6]
COL1A2
[7]
81
[8]
CD44
[9]
103
[11] array · 10 items
[0]
IFI35
[1]
44
[2]
RSAD2
[3]
45
[4]
IFIT1
[5]
38
[6]
ALPL
[7]
81
[8]
RAC1
[9]
96
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section[11]/table-wrap[2]#Tab4
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Differentially expressed genes (DEGs) in different contrastive groups
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PMC4414430
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DEGs screening
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Table 1
caption
Differentially expressed genes (DEGs) in different contrastive groups
rows array · 6 items
[0] array · 4 items
[0]
Contrastive group
[1]
The number of DEGs
[2]
The number of up-regulated DEGs
[3]
The number of down-regulated DEGs
[1] array · 4 items
[0]
HFF1_24 h vs HFF1
[1]
117
[2]
103
[3]
14
[2] array · 4 items
[0]
HFF1_48 h vs HFF1
[1]
347
[2]
234
[3]
113
[3] array · 4 items
[0]
HFF1_72 h vs HFF1
[1]
557
[2]
337
[3]
320
[4] array · 4 items
[0]
ES vs HFF1
[1]
2263
[2]
1007
[3]
1256
[5] array · 4 items
[0]
iPS vs HFF1
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2307
[2]
699
[3]
16 8
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Enriched KEGG pathways in different contrastive groups
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PMC4414430
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10
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KEGG pathway enrichment analysis
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5
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Table 2
caption
Enriched KEGG pathways in different contrastive groups
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[0] array · 5 items
[0]
[1]
[2]
KEGG pathway
[3]
Count
[4]
P value
[1] array · 5 items
[0]
HFF1_24 h vs HFF1
[1]
Up-regulated gene
[2]
hsa04622: RIG-I-like receptor signaling pathway
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6
[4]
9.35E-05
[2] array · 3 items
[0]
hsa04620: Toll-like receptor signaling pathway
[1]
5
[2]
0.0043
[3] array · 3 items
[0]
hsa04623: Cytosolic DNA-sensing pathway
[1]
4
[2]
0.0057
[4] array · 5 items
[0]
HFF1_48 h vs HFF1
[1]
Up-regulated gene
[2]
hsa04620: Toll-like receptor signaling pathway
[3]
6
[4]
0.0209
[5] array · 3 items
[0]
hsa04622: RIG-I-like receptor signaling pathway
[1]
5
[2]
0.0249
[6] array · 4 items
[0]
Down-regulated gene
[1]
hsa05410: Hypertrophic cardiomyopathy (HCM)
[2]
4
[3]
0.0479
[7] array · 5 items
[0]
HFF1_72 h vs HFF1
[1]
Up-regulated gene
[2]
hsa00330: Arginine and proline metabolism
[3]
6
[4]
0.0076
[8] array · 3 items
[0]
hsa00480: Glutathione metabolism
[1]
5
[2]
0.0287
[9] array · 3 items
[0]
hsa00250: Alanine, aspartate and glutamate metabolism
[1]
4
[2]
0.0349
[10] array · 4 items
[0]
Down-regulated gene
[1]
hsa04510: Focal adhesion
[2]
13
[3]
4.57E-05
[11] array · 3 items
[0]
hsa04810: Regulation of actin cytoskeleton
[1]
10
[2]
0.0056
[12] array · 3 items
[0]
hsa05200: Pathways in cancer
[1]
11
[2]
0.0272
[13] array · 5 items
[0]
ES vs HFF1
[1]
Up-regulated gene
[2]
hsa05217: Basal cell carcinoma
[3]
14
[4]
9.58E-06
[14] array · 3 items
[0]
hsa04310: Wnt signaling pathway
[1]
22
[2]
1.28E-04
[15] array · 3 items
[0]
hsa05200: Pathways in cancer
[1]
36
[2]
2.29E-04
[16] array · 3 items
[0]
hsa00330: Arginine and proline metabolism
[1]
10
[2]
0.0029
[17] array · 4 items
[0]
Down-regulated gene
[1]
hsa04510: Focal adhesion
[2]
40
[3]
8.73E-08
[18] array · 3 items
[0]
hsa00520: Amino sugar and nucleotide sugar metabolism
[1]
13
[2]
1.09E-04
[19] array · 3 items
[0]
hsa04512: ECM-receptor interaction
[1]
18
[2]
2.52E-04
[20] array · 3 items
[0]
hsa04142: Lysosome
[1]
20
[2]
0.0019
[21] array · 5 items
[0]
iPS vs HFF1
[1]
Up-regulated gene
[2]
hsa04310: Wnt signaling pathway
[3]
16
[4]
2.39E-04
[22] array · 3 items
[0]
hsa05217: Basal cell carcinoma
[1]
8
[2]
0.0029
[23] array · 3 items
[0]
hsa00250: Alanine, aspartate and glutamate metabolism
[1]
6
[2]
0.0041
[24] array · 3 items
[0]
hsa00260: Glycine, serine and threonine metabolism
[1]
6
[2]
0.0041
[25] array · 4 items
[0]
Down-regulated gene
[1]
hsa04510: Focal adhesion
[2]
56
[3]
1.46E-11
[26] array · 3 items
[0]
hsa04512: ECM-receptor interaction
[1]
27
[2]
3.06E-07
[27] array · 3 items
[0]
hsa00520: Amino sugar and nucleotide sugar metabolism
[1]
16
[2]
2.84E-05
[28] array · 3 items
[0]
hsa04810: Regulation of actin cytoskeleton
[1]
42
[2]
1.43E-04
locator
section[10]/table-wrap[1]#Tab2
[7] object · 16 fields
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asset:table:pmid:25907774:6
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table
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jats-table
media_type
application/vnd.jats.table+json
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sha256:24a24723218ce9c0eb2b208f414908d823374c00960c559f96c14326c3d9ef29
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read_table
reader_status
available
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section[11]/table-wrap[1]#Tab3
version
null
note
The numbers of nodes and edges in protein-protein interaction networks of different contrasts
structure object · 5 fields
pmcid
PMC4414430
section_index
11
section_title
PPI network construction
row_count
6
column_count
3
table object · 8 fields
label
Table 3
caption
The numbers of nodes and edges in protein-protein interaction networks of different contrasts
rows array · 6 items
[0] array · 3 items
[0]
[1]
The number of nodes
[2]
The number of edges
[1] array · 3 items
[0]
HFF1_24 h
[1]
80
[2]
931
[2] array · 3 items
[0]
HFF1_48 h
[1]
217
[2]
1290
[3] array · 3 items
[0]
HFF1_72 h
[1]
358
[2]
1838
[4] array · 3 items
[0]
ES
[1]
1737
[2]
9067
[5] array · 3 items
[0]
iPS
[1]
1829
[2]
11765
locator
section[11]/table-wrap[1]#Tab3
[8] object · 16 fields
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asset:table:pmid:25907774:7
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table
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jats-table
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application/vnd.jats.table+json
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read_table
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section[11]/table-wrap[2]#Tab4
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note
Degree of differentially expressed proteins in protein-protein interaction network
structure object · 5 fields
pmcid
PMC4414430
section_index
11
section_title
PPI network construction
row_count
12
column_count
10
table object · 8 fields
label
Table 4
caption
Degree of differentially expressed proteins in protein-protein interaction network
rows array · 12 items
[0] array · 5 items
[0]
HFF1_24 h
[1]
HFF1_48 h
[2]
HFF1_72 h
[3]
ES
[4]
iPS
[1] array · 10 items
[0]
Gene
[1]
Degree
[2]
Gene
[3]
Degree
[4]
Gene
[5]
Degree
[6]
Gene
[7]
Degree
[8]
Gene
[9]
Degree
[2] array · 10 items
[0]
ISG15
[1]
50
[2]
STAT1
[3]
59
[4]
STAT1
[5]
52
[6]
TSPO
[7]
206
[8]
TSPO
[9]
224
[3] array · 10 items
[0]
STAT1
[1]
50
[2]
ISG15
[3]
51
[4]
ISG15
[5]
44
[6]
TP53
[7]
168
[8]
TP53
[9]
182
[4] array · 10 items
[0]
DDX58
[1]
48
[2]
IFIT3
[3]
49
[4]
IRF7
[5]
41
[6]
CCND1
[7]
106
[8]
FN1
[9]
138
[5] array · 10 items
[0]
IFIT3
[1]
47
[2]
IRF7
[3]
49
[4]
DDX58
[5]
40
[6]
CDH1
[7]
104
[8]
IL6
[9]
136
[6] array · 10 items
[0]
IRF7
[1]
47
[2]
DDX58
[3]
48
[4]
TOP2A
[5]
40
[6]
MYC
[7]
96
[8]
GAPDH
[9]
131
[7] array · 10 items
[0]
MX1
[1]
47
[2]
IFIT1
[3]
48
[4]
MX17
[5]
39
[6]
FGF2
[7]
87
[8]
CCND1
[9]
117
[8] array · 10 items
[0]
RTP4
[1]
46
[2]
IFI35
[3]
47
[4]
CENPF
[5]
38
[6]
CD44
[7]
83
[8]
CDK1
[9]
117
[9] array · 10 items
[0]
IFIH1
[1]
45
[2]
RTP4
[3]
47
[4]
KIF2C
[5]
38
[6]
MMP9
[7]
82
[8]
CDH1
[9]
108
[10] array · 10 items
[0]
IFIT1
[1]
45
[2]
MX1
[3]
47
[4]
ASPM
[5]
38
[6]
COL1A2
[7]
81
[8]
CD44
[9]
103
[11] array · 10 items
[0]
IFI35
[1]
44
[2]
RSAD2
[3]
45
[4]
IFIT1
[5]
38
[6]
ALPL
[7]
81
[8]
RAC1
[9]
96
locator
section[11]/table-wrap[2]#Tab4
[9] object · 16 fields
id
asset:table:pmid:25907774:8
role
table
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jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:ee03d0b744755daf9e068fea794b2012218bf29e85c214c4ccee331d2ac0238e
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read_table
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section[13]/table-wrap[1]#Tab5
version
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note
Degree of transcriptional factors (TF) in regulatory networks
structure object · 5 fields
pmcid
PMC4414430
section_index
13
section_title
Regulatory network for TFs and DEGs
row_count
7
column_count
6
table object · 8 fields
label
Table 5
caption
Degree of transcriptional factors (TF) in regulatory networks
rows array · 7 items
[0] array · 6 items
[0]
TF
[1]
HFF1_24 h
[2]
HFF1_48 h
[3]
HFF1_72 h
[4]
ES
[5]
iPS
[1] array · 6 items
[0]
CNTN2
[1]
1
[2]
2
[3]
0
[4]
2
[5]
25
[2] array · 6 items
[0]
STAT5B
[1]
1
[2]
19
[3]
41
[4]
245
[5]
299
[3] array · 6 items
[0]
FOXA3
[1]
0
[2]
0
[3]
2
[4]
98
[5]
14
[4] array · 6 items
[0]
FOXF2
[1]
5
[2]
5
[3]
5
[4]
28
[5]
25
[5] array · 6 items
[0]
GATA2
[1]
6
[2]
7
[3]
6
[4]
0
[5]
1
[6] array · 6 items
[0]
SMAD6
[1]
0
[2]
0
[3]
0
[4]
0
[5]
3
locator
section[13]/table-wrap[1]#Tab5
gaps array · 2 items
[0]
asset:data:geo:GSE28688 not downloaded
[1]
asset:data:geo:GSE28688 licence not read
analysis object · 4 fields
state
complete
methods array · 3 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
DEGs were identified from different comparisons between OSKM-induced HFF1 cells and the control, between iPS cells and the control, between ES cells and the control using Limma package [17] in Bioconductor with a t-test under Benjamini Hochberg correction [18].
[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
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 · 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]
GSE28688
resolved_accessions array · 1 item
[0]
GSE28688
statements array · 1 item
[0]
The microarray data under the accession number GSE28688 is available at the NCBI Gene Expression Omnibus database (http://www.ncbi.nlm.nih.gov/geo/)
basis
The paper names GSE28688 in NCBI Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
normalise_counts
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differential_expression_fit
[2]
fdr_bh
assets array · 10 items
[0]
source:pmid:25907774
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asset:table:pmid:25907774:1
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asset:table:pmid:25907774:3
[5]
asset:table:pmid:25907774:4
[6]
asset:table:pmid:25907774:5
[7]
asset:table:pmid:25907774:6
[8]
asset:table:pmid:25907774:7
[9]
asset:table:pmid:25907774:8
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:GSE28688
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
2026-10-31T18:23:48Z
independence
same_provider
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method
verbatim
availability
verbatim
calls
8
usage object · 3 fields
prompt_tokens
56917
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3253
cached_tokens
1576
stages array · 1 item
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id
extraction
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complete
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MiniMax-M3.1-Flash
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minimax
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review.independent_reader
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review.machine_critique
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review.human_critique
execution object · 5 fields
state
absent
status
not_run
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execution.not_run
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entities array · 3 items
[0] object · 3 fields
id
pmid:25907774
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paper
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pmid:25907774
[1] object · 3 fields
id
source:pmid:25907774
type
manuscript
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PMID 25907774 full text
[2] object · 3 fields
id
data:geo:GSE28688
type
dataset
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GEO GSE28688
activities array · 3 items
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id
activity-reading-sci-2026-11-01
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pmid:25907774
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source:pmid:25907774
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PMID 25907774 full text
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data:geo:GSE28688
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GEO GSE28688
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agent:corpus-assay-engine
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agent:corpus-assay-engine
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lineage object · 4 fields
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pmid:25907774
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sha256:d3988bcb0480b0eb10977e56d398a9dc26c94d5673b9965907d67d5fec5c73c5
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null
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[2]
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source_hashes object · 1 field
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f2132e96ae6c7a4e
evidence array · 1 item
[0]
DEGs were identified from different comparisons between OSKM-induced HFF1 cells and the control, between iPS cells and the control, between ES cells and the control using Limma package [17] in Bioconductor with a t-test under Benjamini Hochberg correction [18].
order_basis
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:25907774", "kind": "science-record", "revision": 8, "content_hash": "sha256:87527ca8044bb9187cc8fc5891a2eefe4e3ebf724653bc9cd37f6685fadeeb71", "created_at": "2026-11-01T15:40:08Z", "updated_at": "2026-11-01T22:42:13Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Gene expression of OCT4, SOX2, KLF4 and MYC (OSKM) induced pluripotent stem cells: identification for potential mechanisms.", "doi": "10.1186/s13000-015-0263-7", "pmid": "25907774", "authors": ["Yanning Cai", "Xianhua Dai", "Qianhua Zhang", "Zhiming Dai"], "journal": "Diagnostic pathology", "year": 2015, "abstract": "BACKGROUND: Somatic cells could be reprogrammed to induced pluripotent stem cells (iPS) by ectopic expression of OCT4, SOX2, KLF4 and MYC (OSKM). We aimed to gain insights into the early mechanisms underlying the induction of pluripotency.\nMETHODS: GSE28688 containing 14 gene expression profiles were downloaded from GEO, including untreated human neonatal foreskin fibroblasts (HFF1) as control, OSKM-induced HFF1 (at 24, 48, 72 h post-transduction of OSKM encoding viruses), two iPS cell lines, and two embryonic stem (ES) cell lines. Differentially expressed genes (DEGs) were screened between different cell lines and the control by Limma package in Bioconductor. KEGG pathway enrichment analysis was performed by DAVID. The STRING database was used to construct protein-protein interaction (PPI) network. Activities and regulatory networks of transcription factors (TFs) were calculated and constructed by Fast Network Component Analysis (FastNCA).\nRESULTS: Compared with untreated HFF1, 117, 347, 557, 2263 and 2307 DEGs were obtained from three point post-transduction HFF1, iPS and ES cells. Meanwhile, up-regulated DEGs in first two days of HFF1 were mainly enriched in RIG-I-like receptor (RLR) and Toll-like receptor (TLR) signaling pathways. Down-regulated DEGs at 72 h were significantly enriched in focal adhesion pathway which was similar to iPS cells. Moreover, ISG15, IRF7, STAT1 and DDX58 were with higher degree in PPI networks during time series. Furthermore, the targets of six selected TFs were mainly enriched in screened DEGs.\nCONCLUSION: In this study, screened DEGs including ISG15, IRF7 and CCL5 participated in OSKM-induced pluripotency might attenuate immune response post-transduction through RLR and TLR signaling pathways.\nVIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/2503890341543007 .", "claims": [{"id": "claim-method", "statement": "DEGs were identified from different comparisons between OSKM-induced HFF1 cells and the control, between iPS cells and the control, between ES cells and the control using Limma package [17] in Bioconductor with a t-test under Benjamini Hochberg correction [18].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:25907774", "locator": "sections[4] \"Data preprocessing and DEGs screening\" paragraph 2", "quote": "DEGs were identified from different comparisons between OSKM-induced HFF1 cells and the control, between iPS cells and the control, between ES cells and the control using Limma package [17] in Bioconductor with a t-test under Benjamini Hochberg correction [18]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The microarray data under the accession number GSE28688 is available at the NCBI Gene Expression Omnibus database (http://www.ncbi.nlm.nih.gov/geo/)", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:25907774", "locator": "sections[3] \"Microarray data\" paragraph 2", "quote": "The microarray data under the accession number GSE28688 is available at the NCBI Gene Expression Omnibus database (http://www.ncbi.nlm.nih.gov/geo/)"}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study analyzed the GSE28688 microarray dataset downloaded from GEO and used the Limma package in Bioconductor to identify differentially expressed genes, identifying 117, 347, 557, 2263 and 2307 DEGs in the 24 h, 48 h, 72 h, iPS and ES comparisons, respectively.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:25907774", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "GSE28688 containing 14 gene expression profiles were downloaded from GEO, including untreated human neonatal foreskin fibroblasts (HFF1) as control, OSKM-induced HFF1 (at 24, 48, 72 h post-transduction of OSKM encoding viruses), two iPS cell lines, and two embryonic stem (ES) cell lines."}, {"asset": "source:pmid:25907774", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Differentially expressed genes (DEGs) were screened between different cell lines and the control by Limma package in Bioconductor."}, {"asset": "source:pmid:25907774", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Compared with untreated HFF1, 117, 347, 557, 2263 and 2307 DEGs were obtained from three point post-transduction HFF1, iPS and ES cells."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study analyzed the GSE28688 microarray dataset downloaded from GEO and used the Limma package in Bioconductor to identify differentially expressed genes, identifying 117, 347, 557, 2263 and 2307 DEGs in the 24 h, 48 h, 72 h, iPS and ES comparisons, respectively.", "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:25907774"], "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. 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