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pmid:28794688

Aberrantly methylated-differentially expressed genes and pathways in colorectal cancer.

Jingwei Liu · Hao Li · Liping Sun · Zhenning Wang · Chengzhong Xing · Yuan Yuan

Cancer cell international · 2017 doi:10.1186/s12935-017-0444-4

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Experiment

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title
Aberrantly methylated-differentially expressed genes and pathways in colorectal cancer.
doi
10.1186/s12935-017-0444-4
pmid
28794688
authors array · 6 items
[0]
Jingwei Liu
[1]
Hao Li
[2]
Liping Sun
[3]
Zhenning Wang
[4]
Chengzhong Xing
[5]
Yuan Yuan
journal
Cancer cell international
year
2017
abstract
BACKGROUND: Methylation plays an important role in the etiology and pathogenesis of colorectal cancer (CRC). This study aimed to identify aberrantly methylated-differentially expressed genes (DEGs) and pathways in CRC by comprehensive bioinformatics analysis. METHODS: Data of gene expression microarrays (GSE68468, GSE44076) and gene methylation microarrays (GSE29490, GSE17648) were downloaded from GEO database. Aberrantly methylated-DEGs were obtained by GEO2R. Functional and enrichment analyses of selected genes were performed using DAVID database. Protein-protein interaction (PPI) network was constructed by STRING and visualized in Cytoscape. MCODE was used for module analysis of the PPI network. RESULTS: Totally 411 hypomethylation-high expression genes were identified, which were enriched in biological processes of response to wounding or inflammation, cell proliferation and adhesion. Pathway enrichment showed cytokine-cytokine receptor interaction, p53 signaling and cell cycle. The top 5 hub genes of PPI network were CAD, CCND1, ATM, RB1 and MET. Additionally, 239 hypermethylation-low expression genes were identified, which demonstrated enrichment in biological processes including cell-cell signaling, nerve impulse transmission, etc. Pathway analysis indicated enrichment in calcium signaling, maturity onset diabetes of the young, cell adhesion molecules, etc. The top 5 hub genes of PPI network were EGFR, ACTA1, SST, ESR1 and DNM2. After validation in TCGA database, most hub genes still remained significant. CONCLUSION: In summary, our study indicated possible aberrantly methylated-differentially expressed genes and pathways in CRC by bioinformatics analysis, which may provide novel insights for unraveling pathogenesis of CRC. Hub genes including CAD, CCND1, ATM, RB1, MET, EGFR, ACTA1, SST, ESR1 and DNM2 might serve as aberrantly methylation-based biomarkers for precise diagnosis and treatment of CRC in the future.
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We used GEO2R online software to analysis the raw submitter-supplied data of microarrays and identify DEGs and DMGs.
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The authors declare that the data supporting the findings of this study are available within the article.
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Epigenomic Analysis of Aberrantly Methylated Genes in Colorectal Cancer
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GSM1673030
[70]
GSM1673031
[71]
GSM1673032
[72]
GSM1673033
[73]
GSM1673034
[74]
GSM1673035
[75]
GSM1673036
[76]
GSM1673037
[77]
GSM1673038
[78]
GSM1673039
[79]
GSM1673040
[80]
GSM1673041
[81]
GSM1673042
[82]
GSM1673043
[83]
GSM1673044
[84]
GSM1673045
[85]
GSM1673046
[86]
GSM1673047
[87]
GSM1673048
[88]
GSM1673049
[89]
GSM1673050
[90]
GSM1673051
[91]
GSM1673052
[92]
GSM1673053
[93]
GSM1673054
[94]
GSM1673055
[95]
GSM1673056
[96]
GSM1673057
[97]
GSM1673058
[98]
GSM1673059
[99]
GSM1673060
[100]
GSM1673061
[101]
GSM1673062
[102]
GSM1673063
[103]
GSM1673064
[104]
GSM1673065
[105]
GSM1673066
[106]
GSM1673067
[107]
GSM1673068
[108]
GSM1673069
[109]
GSM1673070
[110]
GSM1673071
[111]
GSM1673072
[112]
GSM1673073
[113]
GSM1673074
[114]
GSM1673075
[115]
GSM1673076
[116]
GSM1673077
[117]
GSM1673078
[118]
GSM1673079
[119]
GSM1673080
[120]
GSM1673081
[121]
GSM1673082
[122]
GSM1673083
[123]
GSM1673084
[124]
GSM1673085
[125]
GSM1673086
[126]
GSM1673087
[127]
GSM1673088
[128]
GSM1673089
[129]
GSM1673090
[130]
GSM1673091
[131]
GSM1673092
[132]
GSM1673093
[133]
GSM1673094
[134]
GSM1673095
[135]
GSM1673096
[136]
GSM1673097
[137]
GSM1673098
[138]
GSM1673099
[139]
GSM1673100
[140]
GSM1673101
[141]
GSM1673102
[142]
GSM1673103
[143]
GSM1673104
[144]
GSM1673105
[145]
GSM1673106
[146]
GSM1673107
[147]
GSM1673108
[148]
GSM1673109
[149]
GSM1673110
[150]
GSM1673111
[151]
GSM1673112
[152]
GSM1673113
[153]
GSM1673114
[154]
GSM1673115
[155]
GSM1673116
[156]
GSM1673117
[157]
GSM1673118
[158]
GSM1673119
[159]
GSM1673120
[160]
GSM1673121
[161]
GSM1673122
[162]
GSM1673123
[163]
GSM1673124
[164]
GSM1673125
[165]
GSM1673126
[166]
GSM1673127
[167]
GSM1673128
[168]
GSM1673129
[169]
GSM1673130
[170]
GSM1673131
[171]
GSM1673132
[172]
GSM1673133
[173]
GSM1673134
[174]
GSM1673135
[175]
GSM1673136
[176]
GSM1673137
[177]
GSM1673138
[178]
GSM1673139
[179]
GSM1673140
[180]
GSM1673141
[181]
GSM1673142
[182]
GSM1673143
[183]
GSM1673144
[184]
GSM1673145
[185]
GSM1673146
[186]
GSM1673147
[187]
GSM1673148
[188]
GSM1673149
[189]
GSM1673150
[190]
GSM1673151
[191]
GSM1673152
[192]
GSM1673153
[193]
GSM1673154
[194]
GSM1673155
[195]
GSM1673156
[196]
GSM1673157
[197]
GSM1673158
[198]
GSM1673159
[199]
GSM1673160
[200]
GSM1673161
[201]
GSM1673162
[202]
GSM1673163
[203]
GSM1673164
[204]
GSM1673165
[205]
GSM1673166
[206]
GSM1673167
[207]
GSM1673168
[208]
GSM1673169
[209]
GSM1673170
[210]
GSM1673171
[211]
GSM1673172
[212]
GSM1673173
[213]
GSM1673174
[214]
GSM1673175
[215]
GSM1673176
[216]
GSM1673177
[217]
GSM1673178
[218]
GSM1673179
[219]
GSM1673180
[220]
GSM1673181
[221]
GSM1673182
[222]
GSM1673183
[223]
GSM1673184
[224]
GSM1673185
[225]
GSM1673186
[226]
GSM1673187
[227]
GSM1673188
[228]
GSM1673189
[229]
GSM1673190
[230]
GSM1673191
[231]
GSM1673192
[232]
GSM1673193
[233]
GSM1673194
[234]
GSM1673195
[235]
GSM1673196
[236]
GSM1673197
[237]
GSM1673198
[238]
GSM1673199
[239]
GSM1673200
[240]
GSM1673201
[241]
GSM1673202
[242]
GSM1673203
[243]
GSM1673204
[244]
GSM1673205
[245]
GSM1673206
[246]
GSM1673207
[247]
GSM1673208
[248]
GSM1673209
[249]
GSM1673210
[250]
GSM1673211
[251]
GSM1673212
[252]
GSM1673213
[253]
GSM1673214
[254]
GSM1673215
[255]
GSM1673216
[256]
GSM1673217
[257]
GSM1673218
[258]
GSM1673219
[259]
GSM1673220
[260]
GSM1673221
[261]
GSM1673222
[262]
GSM1673223
[263]
GSM1673224
[264]
GSM1673225
[265]
GSM1673226
[266]
GSM1673227
[267]
GSM1673228
[268]
GSM1673229
[269]
GSM1673230
[270]
GSM1673231
[271]
GSM1673232
[272]
GSM1673233
[273]
GSM1673234
[274]
GSM1673235
[275]
GSM1673236
[276]
GSM1673237
[277]
GSM1673238
[278]
GSM1673239
[279]
GSM1673240
[280]
GSM1673241
[281]
GSM1673242
[282]
GSM1673243
[283]
GSM1673244
[284]
GSM1673245
[285]
GSM1673246
[286]
GSM1673247
[287]
GSM1673248
[288]
GSM1673249
[289]
GSM1673250
[290]
GSM1673251
[291]
GSM1673252
[292]
GSM1673253
[293]
GSM1673254
[294]
GSM1673255
[295]
GSM1673256
[296]
GSM1673257
[297]
GSM1673258
[298]
GSM1673259
[299]
GSM1673260
[300]
GSM1673261
[301]
GSM1673262
[302]
GSM1673263
[303]
GSM1673264
[304]
GSM1673265
[305]
GSM1673266
[306]
GSM1673267
[307]
GSM1673268
[308]
GSM1673269
[309]
GSM1673270
[310]
GSM1673271
[311]
GSM1673272
[312]
GSM1673273
[313]
GSM1673274
[314]
GSM1673275
[315]
GSM1673276
[316]
GSM1673277
[317]
GSM1673278
[318]
GSM1673279
[319]
GSM1673280
[320]
GSM1673281
[321]
GSM1673282
[322]
GSM1673283
[323]
GSM1673284
[324]
GSM1673285
[325]
GSM1673286
[326]
GSM1673287
[327]
GSM1673288
[328]
GSM1673289
[329]
GSM1673290
[330]
GSM1673291
[331]
GSM1673292
[332]
GSM1673293
[333]
GSM1673294
[334]
GSM1673295
[335]
GSM1673296
[336]
GSM1673297
[337]
GSM1673298
[338]
GSM1673299
[339]
GSM1673300
[340]
GSM1673301
[341]
GSM1673302
[342]
GSM1673303
[343]
GSM1673304
[344]
GSM1673305
[345]
GSM1673306
[346]
GSM1673307
[347]
GSM1673308
[348]
GSM1673309
[349]
GSM1673310
[350]
GSM1673311
[351]
GSM1673312
[352]
GSM1673313
[353]
GSM1673314
[354]
GSM1673315
[355]
GSM1673316
[356]
GSM1673317
[357]
GSM1673318
[358]
GSM1673319
[359]
GSM1673320
[360]
GSM1673321
[361]
GSM1673322
[362]
GSM1673323
[363]
GSM1673324
[364]
GSM1673325
[365]
GSM1673326
[366]
GSM1673327
[367]
GSM1673328
[368]
GSM1673329
[369]
GSM1673330
[370]
GSM1673331
[371]
GSM1673332
[372]
GSM1673333
[373]
GSM1673334
[374]
GSM1673335
[375]
GSM1673336
[376]
GSM1673337
[377]
GSM1673338
[378]
GSM1673339
[379]
GSM1673340
[380]
GSM1673341
[381]
GSM1673342
[382]
GSM1673343
[383]
GSM1673344
[384]
GSM1673345
[385]
GSM1673346
[386]
GSM1673347
[387]
GSM1673348
[388]
GSM1673349
[389]
GSM1673350
sample_count
390
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
caArray_notte-00422: Molecular Dissection of Colon Cancer
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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[5] object · 16 fields
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asset:table:pmid:28794688:1
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table
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jats-table
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application/vnd.jats.table+json
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null
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sha256:86dd0e6df7c6ccb743d544b7d32fc43df8d3c00f1683a1cc096027b8d91f506b
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1018
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read_table
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section[13]/table-wrap[1]#Tab4
version
null
note
Validation of the hub genes in TCGA database
structure object · 5 fields
pmcid
PMC5545832
section_index
7
section_title
Validation of the hub genes in TCGA database
row_count
13
column_count
6
table object · 8 fields
label
Table 4
caption
Validation of the hub genes in TCGA database
rows array · 13 items
[0] array · 6 items
[0]
Category
[1]
Hub gene
[2]
Methylation status
[3]
P value
[4]
Expression status
[5]
P value
[1] array · 1 item
[0]
Hypomethylation and high expression
[2] array · 6 items
[0]
[1]
CAD
[2]
Hypomethylation
[3]
5.55E−16
[4]
Up-regulated
[5]
3.88E−18
[3] array · 6 items
[0]
[1]
CCND1
[2]
Hypomethylation
[3]
0.032
[4]
Up-regulated
[5]
7.26E−17
[4] array · 6 items
[0]
[1]
ATM
[2]
–
[3]
–
[4]
Up-regulated
[5]
0.006
[5] array · 6 items
[0]
[1]
RB1
[2]
Hypomethylation
[3]
5.27E−03
[4]
Up-regulated
[5]
1.17E−11
[6] array · 6 items
[0]
[1]
DNM2
[2]
Hypomethylation
[3]
1.36E−13
[4]
Up-regulated
[5]
5.23E−08
[7] array · 1 item
[0]
Hypermethylation and low expression
[8] array · 6 items
[0]
[1]
EGFR
[2]
Hypermethylation
[3]
4.65E−14
[4]
Down-regulated
[5]
7.20E−21
[9] array · 6 items
[0]
[1]
ACTA1
[2]
Hypermethylation
[3]
1.64E−14
[4]
–
[5]
–
[10] array · 6 items
[0]
[1]
SST
[2]
Hypermethylation
[3]
9.67E−14
[4]
Down-regulated
[5]
2.22E−31
[11] array · 6 items
[0]
[1]
ESR1
[2]
Hypermethylation
[3]
1.18E−14
[4]
Down-regulated
[5]
9.62E−20
[12] array · 6 items
[0]
[1]
DNM2
[2]
Hypermethylation
[3]
5.43E−06
[4]
–
[5]
–
locator
section[13]/table-wrap[1]#Tab4
[6] object · 16 fields
id
asset:table:pmid:28794688:2
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table
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jats-table
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application/vnd.jats.table+json
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null
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sha256:e9ce39be650543542573ec1eb52551d43fc30d1ceb65a822887d3f914000d699
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2865
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read_table
reader_status
available
identifier
section[10]/table-wrap[1]#Tab1
version
null
note
Gene ontology analysis of aberrantly methylated-differentially expressed genes in colorectal cancer
structure object · 5 fields
pmcid
PMC5545832
section_index
10
section_title
GO functional enrichment analysis
row_count
33
column_count
6
table object · 8 fields
label
Table 1
caption
Gene ontology analysis of aberrantly methylated-differentially expressed genes in colorectal cancer
rows array · 33 items
[0] array · 6 items
[0]
Category
[1]
GO analysis
[2]
Term
[3]
Gene count
[4]
%
[5]
P value
[1] array · 1 item
[0]
Hypomethylation and high expression
[2] array · 6 items
[0]
[1]
GOTERM_BP_FAT
[2]
GO:0009611~response to wounding
[3]
37
[4]
9.00
[5]
9.44E−08
[3] array · 6 items
[0]
[1]
GOTERM_BP_FAT
[2]
GO:0006954~inflammatory response
[3]
25
[4]
6.08
[5]
3.48E−06
[4] array · 6 items
[0]
[1]
GOTERM_BP_FAT
[2]
GO:0008283~cell proliferation
[3]
29
[4]
7.06
[5]
7.95E−06
[5] array · 6 items
[0]
[1]
GOTERM_BP_FAT
[2]
GO:0007155~cell adhesion
[3]
37
[4]
9.00
[5]
5.54E−05
[6] array · 6 items
[0]
[1]
GOTERM_BP_FAT
[2]
GO:0022610~biological adhesion
[3]
37
[4]
9.00
[5]
5.55E−05
[7] array · 6 items
[0]
[1]
GOTERM_CC_FAT
[2]
GO:0005576~extracellular region
[3]
92
[4]
22.38
[5]
2.01E−08
[8] array · 6 items
[0]
[1]
GOTERM_CC_FAT
[2]
GO:0044421~extracellular region part
[3]
55
[4]
13.38
[5]
3.78E−08
[9] array · 6 items
[0]
[1]
GOTERM_CC_FAT
[2]
GO:0005615~extracellular space
[3]
42
[4]
10.22
[5]
4.12E−07
[10] array · 6 items
[0]
[1]
GOTERM_CC_FAT
[2]
GO:0005578~proteinaceous extracellular matrix
[3]
21
[4]
5.11
[5]
2.45E−04
[11] array · 6 items
[0]
[1]
GOTERM_CC_FAT
[2]
GO:0005625~soluble fraction
[3]
20
[4]
4.87
[5]
5.01E−04
[12] array · 6 items
[0]
[1]
GOTERM_MF_FAT
[2]
GO:0042802~identical protein binding
[3]
35
[4]
8.52
[5]
8.25E−05
[13] array · 6 items
[0]
[1]
GOTERM_MF_FAT
[2]
GO:0005125~cytokine activity
[3]
15
[4]
3.65
[5]
6.69E−04
[14] array · 6 items
[0]
[1]
GOTERM_MF_FAT
[2]
GO:0004175~endopeptidase activity
[3]
21
[4]
5.11
[5]
2.33E−03
[15] array · 6 items
[0]
[1]
GOTERM_MF_FAT
[2]
GO:0030674~protein binding, bridging
[3]
9
[4]
2.19
[5]
3.39E−03
[16] array · 6 items
[0]
[1]
GOTERM_MF_FAT
[2]
GO:0008201~heparin binding
[3]
9
[4]
2.19
[5]
5.90E−03
[17] array · 1 item
[0]
Hypermethylation and low expression
[18] array · 6 items
[0]
[1]
GOTERM_BP_FAT
[2]
GO:0007267~cell–cell signaling
[3]
29
[4]
12.13
[5]
3.32E−07
[19] array · 6 items
[0]
[1]
GOTERM_BP_FAT
[2]
GO:0019226~transmission of nerve impulse
[3]
18
[4]
7.53
[5]
4.70E−05
[20] array · 6 items
[0]
[1]
GOTERM_BP_FAT
[2]
GO:0031644~regulation of neurological system process
[3]
11
[4]
4.60
[5]
1.72E−04
[21] array · 6 items
[0]
[1]
GOTERM_BP_FAT
[2]
GO:0007610~behavior
[3]
20
[4]
8.37
[5]
1.90E−04
[22] array · 6 items
[0]
[1]
GOTERM_BP_FAT
[2]
GO:0030182~neuron differentiation
[3]
19
[4]
7.95
[5]
2.35E−04
[23] array · 6 items
[0]
[1]
GOTERM_CC_FAT
[2]
GO:0044459~plasma membrane part
[3]
64
[4]
26.78
[5]
2.13E−09
[24] array · 6 items
[0]
[1]
GOTERM_CC_FAT
[2]
GO:0005886~plasma membrane
[3]
84
[4]
35.15
[5]
5.38E−07
[25] array · 6 items
[0]
[1]
GOTERM_CC_FAT
[2]
GO:0043005~neuron projection
[3]
19
[4]
7.95
[5]
1.13E−06
[26] array · 6 items
[0]
[1]
GOTERM_CC_FAT
[2]
GO:0005887~integral to plasma membrane
[3]
38
[4]
15.90
[5]
1.67E−06
[27] array · 6 items
[0]
[1]
GOTERM_CC_FAT
[2]
GO:0031226~intrinsic to plasma membrane
[3]
38
[4]
15.90
[5]
2.85E−06
[28] array · 6 items
[0]
[1]
GOTERM_MF_FAT
[2]
GO:0003700~transcription factor activity
[3]
38
[4]
15.90
[5]
2.48E−07
[29] array · 6 items
[0]
[1]
GOTERM_MF_FAT
[2]
GO:0022836~gated channel activity
[3]
16
[4]
6.69
[5]
9.15E−05
[30] array · 6 items
[0]
[1]
GOTERM_MF_FAT
[2]
GO:0015267~channel activity
[3]
18
[4]
7.53
[5]
2.17E−04
[31] array · 6 items
[0]
[1]
GOTERM_MF_FAT
[2]
GO:0022803~passive transmembrane transporter activity
[3]
18
[4]
7.53
[5]
2.23E−04
[32] array · 6 items
[0]
[1]
GOTERM_MF_FAT
[2]
GO:0005216~ion channel activity
[3]
17
[4]
7.11
[5]
3.17E−04
locator
section[10]/table-wrap[1]#Tab1
[7] object · 16 fields
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asset:table:pmid:28794688:3
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table
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jats-table
media_type
application/vnd.jats.table+json
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sha256:cd134a2b3300a6669fcb41788f2ac574d8f1dcaff21265aeed3f2ed877bda71a
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read_table
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identifier
section[10]/table-wrap[2]#Tab2
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note
KEGG pathway analysis of aberrantly methylated-differentially expressed genes in colorectal cancer
structure object · 5 fields
pmcid
PMC5545832
section_index
10
section_title
GO functional enrichment analysis
row_count
12
column_count
6
table object · 8 fields
label
Table 2
caption
KEGG pathway analysis of aberrantly methylated-differentially expressed genes in colorectal cancer
rows array · 12 items
[0] array · 6 items
[0]
Pathway ID
[1]
Pathway name
[2]
Gene no.
[3]
%
[4]
P value
[5]
Genes
[1] array · 1 item
[0]
Hypomethylation and high expression
[2] array · 6 items
[0]
hsa04060
[1]
Cytokine–cytokine receptor interaction
[2]
20
[3]
4.87
[4]
5.86E−04
[5]
CXCL1, IL2RA, LTBR, CXCL3, IL21R, CXCL2, MET, CXCL9, TNFSF15, TNFRSF4, CCL18, LIF, INHBA, TNFRSF9, TNFSF11, IL23A, PRLR, CCL20, IL20RA, ACVR1
[3] array · 6 items
[0]
hsa04115
[1]
p53 signaling pathway
[2]
8
[3]
1.95
[4]
5.54E−03
[5]
CCND1, SERPINB5, CD82, RRM2, TSC2, CASP8, PMAIP1, ATM
[4] array · 6 items
[0]
hsa04110
[1]
Cell cycle
[2]
9
[3]
2.19
[4]
0.045
[5]
CCND1, PKMYT1, PRKDC, RB1, CDC16, CDC27, ATM, WEE1, TFDP1
[5] array · 1 item
[0]
Hypermethylation and low expression
[6] array · 6 items
[0]
hsa04020
[1]
Calcium signaling pathway
[2]
12
[3]
5.02
[4]
7.80E−04
[5]
EGFR, EDNRB, ADCY2, PTGER3, PDE1B, PDE1C, DRD5, GRIN2A, PLCD1, ITPKB, CAMK2B, PTGFR
[7] array · 6 items
[0]
hsa04950
[1]
Maturity onset diabetes of the young
[2]
5
[3]
2.09
[4]
1.45E−03
[5]
HHEX, NEUROD1, HNF4G, NEUROG3, NKX2-2
[8] array · 6 items
[0]
hsa04514
[1]
Cell adhesion molecules (CAMs)
[2]
8
[3]
3.35
[4]
0.017
[5]
NCAM1, CD8A, ITGA8, NLGN4X, CNTN1, ITGA4, JAM2, HLA-G
[9] array · 6 items
[0]
hsa04080
[1]
Neuroactive ligand-receptor interaction
[2]
11
[3]
4.60
[4]
0.033
[5]
EDNRB, SSTR2, PTGER3, GABRB3, GRIK1, GRIK2, DRD5, GRIN2A, GRIA3, PTGFR, VIPR2
[10] array · 6 items
[0]
hsa04062
[1]
Chemokine signaling pathway
[2]
9
[3]
3.77
[4]
0.035
[5]
DOCK2, ADCY2, CXCL14, TIAM1, HCK, PIK3CD, CCR10, RAP1A, ELMO1
[11] array · 6 items
[0]
hsa04666
[1]
Fc gamma R-mediated phagocytosis
[2]
6
[3]
2.51
[4]
0.043
[5]
DOCK2, HCK, PIK3CD, ARF6, AMPH, DNM2
locator
section[10]/table-wrap[2]#Tab2
[8] object · 16 fields
id
asset:table:pmid:28794688:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:bb4cd6a79a63adf8db5840c4ee91f6ce0e840cc81f2859c31a9761e79993bd21
bytes
1330
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[12]/table-wrap[1]#Tab3
version
null
note
Module analysis of the protein–protein interaction network
structure object · 5 fields
pmcid
PMC5545832
section_index
12
section_title
PPI network construction, module analysis and hub gene selection
row_count
13
column_count
6
table object · 8 fields
label
Table 3
caption
Module analysis of the protein–protein interaction network
rows array · 13 items
[0] array · 6 items
[0]
Category
[1]
Module
[2]
Function description
[3]
FDR
[4]
Nodes
[5]
Genes
[1] array · 1 item
[0]
Hypomethylation and high expression
[2] array · 6 items
[0]
[1]
1
[2]
Chemokine signaling pathway
[3]
1.14E−10
[4]
6
[5]
CCL18, CXCL2, CXCL1, CCL20, CXCL9, CXCL3
[3] array · 6 items
[0]
[1]
2
[2]
Ribosome
[3]
6.80E−04
[4]
5
[5]
RPL31, PABPC1, UPF3A, RPS15A, RPS15
[4] array · 6 items
[0]
[1]
3
[2]
Nucleic acid binding
[3]
0.0195
[4]
9
[5]
DDX49, AHR, GSTP1, RB1, AATF, DDX56, NOC2L, IMP4, DDX52
[5] array · 6 items
[0]
[1]
4
[2]
Carbon metabolism
[3]
3.43E−04
[4]
5
[5]
GNPDA1, PFKM, ENO1, ME1, HK3
[6] array · 6 items
[0]
[1]
5
[2]
Cell cycle
[3]
3.01E−10
[4]
8
[5]
CDC16, PKMYT1, CDC27, TFDP1, SMARCAL1, ATM, RECQL5, WEE1
[7] array · 6 items
[0]
[1]
6
[2]
Proteasome
[3]
0.0344
[4]
8
[5]
FGFR1, SOX9, PSMD6, FOXD1, CCND1, MSX1, PSMF1, FOXA2
[8] array · 1 item
[0]
Hypermethylation and low expression
[9] array · 6 items
[0]
[1]
1
[2]
Synaptic transmission
[3]
1.04E−07
[4]
7
[5]
KCND3, KCNG1, KCNB1, HCN2, KCNK3, KCNA5, KCNA3
[10] array · 6 items
[0]
[1]
2
[2]
Gastric acid secretion
[3]
2.19E−04
[4]
6
[5]
SST, NPY, SSTR2, CCR10, PTGER3, ADCY2
[11] array · 6 items
[0]
[1]
3
[2]
Glutamatergic synapse
[3]
1.09E−06
[4]
5
[5]
GRIK1, GRIK2, GRIA3, GRIN2A, CAMK2B
[12] array · 6 items
[0]
[1]
4
[2]
Cell fate specification
[3]
9.20E−03
[4]
15
[5]
ARHGEF16, RHOH, TIAM1, ABR, RAP1A, NEUROD1, AR, ESR1, EGFR, TF, FEV, INPP5B, SOX17, FGD2, NKX2-2
locator
section[12]/table-wrap[1]#Tab3
[9] object · 16 fields
id
asset:table:pmid:28794688:5
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:86dd0e6df7c6ccb743d544b7d32fc43df8d3c00f1683a1cc096027b8d91f506b
bytes
1018
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[13]/table-wrap[1]#Tab4
version
null
note
Validation of the hub genes in TCGA database
structure object · 5 fields
pmcid
PMC5545832
section_index
13
section_title
Validation of the hub genes in TCGA database
row_count
13
column_count
6
table object · 8 fields
label
Table 4
caption
Validation of the hub genes in TCGA database
rows array · 13 items
[0] array · 6 items
[0]
Category
[1]
Hub gene
[2]
Methylation status
[3]
P value
[4]
Expression status
[5]
P value
[1] array · 1 item
[0]
Hypomethylation and high expression
[2] array · 6 items
[0]
[1]
CAD
[2]
Hypomethylation
[3]
5.55E−16
[4]
Up-regulated
[5]
3.88E−18
[3] array · 6 items
[0]
[1]
CCND1
[2]
Hypomethylation
[3]
0.032
[4]
Up-regulated
[5]
7.26E−17
[4] array · 6 items
[0]
[1]
ATM
[2]
–
[3]
–
[4]
Up-regulated
[5]
0.006
[5] array · 6 items
[0]
[1]
RB1
[2]
Hypomethylation
[3]
5.27E−03
[4]
Up-regulated
[5]
1.17E−11
[6] array · 6 items
[0]
[1]
DNM2
[2]
Hypomethylation
[3]
1.36E−13
[4]
Up-regulated
[5]
5.23E−08
[7] array · 1 item
[0]
Hypermethylation and low expression
[8] array · 6 items
[0]
[1]
EGFR
[2]
Hypermethylation
[3]
4.65E−14
[4]
Down-regulated
[5]
7.20E−21
[9] array · 6 items
[0]
[1]
ACTA1
[2]
Hypermethylation
[3]
1.64E−14
[4]
–
[5]
–
[10] array · 6 items
[0]
[1]
SST
[2]
Hypermethylation
[3]
9.67E−14
[4]
Down-regulated
[5]
2.22E−31
[11] array · 6 items
[0]
[1]
ESR1
[2]
Hypermethylation
[3]
1.18E−14
[4]
Down-regulated
[5]
9.62E−20
[12] array · 6 items
[0]
[1]
DNM2
[2]
Hypermethylation
[3]
5.43E−06
[4]
–
[5]
–
locator
section[13]/table-wrap[1]#Tab4
gaps array · 8 items
[0]
asset:data:geo:GSE17648 not downloaded
[1]
asset:data:geo:GSE17648 licence not read
[2]
asset:data:geo:GSE29490 not downloaded
[3]
asset:data:geo:GSE29490 licence not read
[4]
asset:data:geo:GSE44076 not downloaded
[5]
asset:data:geo:GSE44076 licence not read
[6]
asset:data:geo:GSE68468 not downloaded
[7]
asset:data:geo:GSE68468 licence not read
analysis object · 4 fields
state
partial
methods array · 3 items
[0] object · 10 fields
id
method-1
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
Protein-protein interaction
[1] object · 10 fields
id
method-2
family
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
[2] object · 10 fields
id
method-3
family
null
specific
null
label
GEO2R differential expression and differential methylation analysis
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
We used GEO2R online software to analysis the raw submitter-supplied data of microarrays and identify DEGs and DMGs.
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]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ppi_network.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 4 items
[0]
GSE68468
[1]
GSE44076
[2]
GSE29490
[3]
GSE17648
resolved_accessions array · 4 items
[0]
GSE68468
[1]
GSE44076
[2]
GSE29490
[3]
GSE17648
statements array · 1 item
[0]
The authors declare that the data supporting the findings of this study are available within the article.
basis
The paper names GSE68468, GSE44076, GSE29490, GSE17648 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
assets array · 7 items
[0]
source:pmid:28794688
[1]
data:geo:GSE17648
[2]
asset:table:pmid:28794688:1
[3]
asset:table:pmid:28794688:2
[4]
asset:table:pmid:28794688:3
[5]
asset:table:pmid:28794688:4
[6]
asset:table:pmid:28794688:5
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:GSE17648
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
null
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
0
usage object · 0 fields
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:28794688
type
paper
label
pmid:28794688
[1] object · 3 fields
id
source:pmid:28794688
type
manuscript
label
PMID 28794688 full text
[2] object · 3 fields
id
data:geo:GSE17648
type
dataset
label
GEO GSE17648
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:28794688
type
paper
label
pmid:28794688
[1] object · 3 fields
id
source:pmid:28794688
type
manuscript
label
PMID 28794688 full text
[2] object · 3 fields
id
data:geo:GSE17648
type
dataset
label
GEO GSE17648
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-28794688
type
extraction
used array · 1 item
[0]
source:pmid:28794688
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE17648
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE17648
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:28794688
parent_hash
sha256:373e0016da7108a9c342ed88f88af4c6b521553328b0b6c16aa6656f92fcdc0b
fork_of
null
gaps array · 13 items
[0]
asset:data:geo:GSE17648 licence not read
[1]
asset:data:geo:GSE17648 not downloaded
[2]
asset:data:geo:GSE29490 licence not read
[3]
asset:data:geo:GSE29490 not downloaded
[4]
asset:data:geo:GSE44076 licence not read
[5]
asset:data:geo:GSE44076 not downloaded
[6]
asset:data:geo:GSE68468 licence not read
[7]
asset:data:geo:GSE68468 not downloaded
[8]
execution.not_run
[9]
method.reader_named_unmapped
[10]
review.human_critique
[11]
review.independent_reader
[12]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
network_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Protein-protein interaction
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:28794688", "kind": "science-record", "revision": 5, "content_hash": "sha256:b7d49d17099ecddd539e2a26fb2ad9588b369245780b03020f0841713de80d7a", "created_at": "2026-11-01T15:40:27Z", "updated_at": "2026-11-01T21:59:28Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Aberrantly methylated-differentially expressed genes and pathways in colorectal cancer.", "doi": "10.1186/s12935-017-0444-4", "pmid": "28794688", "authors": ["Jingwei Liu", "Hao Li", "Liping Sun", "Zhenning Wang", "Chengzhong Xing", "Yuan Yuan"], "journal": "Cancer cell international", "year": 2017, "abstract": "BACKGROUND: Methylation plays an important role in the etiology and pathogenesis of colorectal cancer (CRC). This study aimed to identify aberrantly methylated-differentially expressed genes (DEGs) and pathways in CRC by comprehensive bioinformatics analysis.\nMETHODS: Data of gene expression microarrays (GSE68468, GSE44076) and gene methylation microarrays (GSE29490, GSE17648) were downloaded from GEO database. Aberrantly methylated-DEGs were obtained by GEO2R. Functional and enrichment analyses of selected genes were performed using DAVID database. Protein-protein interaction (PPI) network was constructed by STRING and visualized in Cytoscape. MCODE was used for module analysis of the PPI network.\nRESULTS: Totally 411 hypomethylation-high expression genes were identified, which were enriched in biological processes of response to wounding or inflammation, cell proliferation and adhesion. Pathway enrichment showed cytokine-cytokine receptor interaction, p53 signaling and cell cycle. The top 5 hub genes of PPI network were CAD, CCND1, ATM, RB1 and MET. Additionally, 239 hypermethylation-low expression genes were identified, which demonstrated enrichment in biological processes including cell-cell signaling, nerve impulse transmission, etc. Pathway analysis indicated enrichment in calcium signaling, maturity onset diabetes of the young, cell adhesion molecules, etc. The top 5 hub genes of PPI network were EGFR, ACTA1, SST, ESR1 and DNM2. After validation in TCGA database, most hub genes still remained significant.\nCONCLUSION: In summary, our study indicated possible aberrantly methylated-differentially expressed genes and pathways in CRC by bioinformatics analysis, which may provide novel insights for unraveling pathogenesis of CRC. Hub genes including CAD, CCND1, ATM, RB1, MET, EGFR, ACTA1, SST, ESR1 and DNM2 might serve as aberrantly methylation-based biomarkers for precise diagnosis and treatment of CRC in the future.", "claims": [{"id": "claim-method", "statement": "We used GEO2R online software to analysis the raw submitter-supplied data of microarrays and identify DEGs and DMGs.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:28794688", "locator": "sections[4] \"Data processing\" paragraph 2", "quote": "We used GEO2R online software to analysis the raw submitter-supplied data of microarrays and identify DEGs and DMGs."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The authors declare that the data supporting the findings of this study are available within the article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:28794688", "locator": "sections[17] \"ack\" paragraph 1", "quote": "The authors declare that the data supporting the 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:28794688"], "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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"GOTERM_BP_FAT", "GO:0008283~cell proliferation", "29", "7.06", "7.95E−06"], ["", "GOTERM_BP_FAT", "GO:0007155~cell adhesion", "37", "9.00", "5.54E−05"], ["", "GOTERM_BP_FAT", "GO:0022610~biological adhesion", "37", "9.00", "5.55E−05"], ["", "GOTERM_CC_FAT", "GO:0005576~extracellular region", "92", "22.38", "2.01E−08"], ["", "GOTERM_CC_FAT", "GO:0044421~extracellular region part", "55", "13.38", "3.78E−08"], ["", "GOTERM_CC_FAT", "GO:0005615~extracellular space", "42", "10.22", "4.12E−07"], ["", "GOTERM_CC_FAT", "GO:0005578~proteinaceous extracellular matrix", "21", "5.11", "2.45E−04"], ["", "GOTERM_CC_FAT", "GO:0005625~soluble fraction", "20", "4.87", "5.01E−04"], ["", "GOTERM_MF_FAT", "GO:0042802~identical protein binding", "35", "8.52", "8.25E−05"], ["", "GOTERM_MF_FAT", "GO:0005125~cytokine activity", "15", "3.65", "6.69E−04"], ["", "GOTERM_MF_FAT", "GO:0004175~endopeptidase activity", "21", "5.11", "2.33E−03"], ["", "GOTERM_MF_FAT", "GO:0030674~protein binding, bridging", "9", "2.19", "3.39E−03"], ["", "GOTERM_MF_FAT", "GO:0008201~heparin binding", "9", "2.19", "5.90E−03"], ["Hypermethylation and low expression"], ["", "GOTERM_BP_FAT", "GO:0007267~cell–cell signaling", "29", "12.13", "3.32E−07"], ["", "GOTERM_BP_FAT", "GO:0019226~transmission of nerve impulse", "18", "7.53", "4.70E−05"], ["", "GOTERM_BP_FAT", "GO:0031644~regulation of neurological system process", "11", "4.60", "1.72E−04"], ["", "GOTERM_BP_FAT", "GO:0007610~behavior", "20", "8.37", "1.90E−04"], ["", "GOTERM_BP_FAT", "GO:0030182~neuron differentiation", "19", "7.95", "2.35E−04"], ["", "GOTERM_CC_FAT", "GO:0044459~plasma membrane part", "64", "26.78", "2.13E−09"], ["", "GOTERM_CC_FAT", "GO:0005886~plasma membrane", "84", "35.15", "5.38E−07"], ["", "GOTERM_CC_FAT", "GO:0043005~neuron projection", "19", "7.95", "1.13E−06"], ["", "GOTERM_CC_FAT", "GO:0005887~integral to plasma membrane", "38", "15.90", "1.67E−06"], ["", "GOTERM_CC_FAT", "GO:0031226~intrinsic to plasma membrane", "38", "15.90", 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pathway analysis of aberrantly methylated-differentially expressed genes in colorectal cancer", "structure": {"pmcid": "PMC5545832", "section_index": 10, "section_title": "GO functional enrichment analysis", "row_count": 12, "column_count": 6}, "table": {"label": "Table 2", "caption": "KEGG pathway analysis of aberrantly methylated-differentially expressed genes in colorectal cancer", "rows": [["Pathway ID", "Pathway name", "Gene no.", "%", "P value", "Genes"], ["Hypomethylation and high expression"], ["hsa04060", "Cytokine–cytokine receptor interaction", "20", "4.87", "5.86E−04", "CXCL1, IL2RA, LTBR, CXCL3, IL21R, CXCL2, MET, CXCL9, TNFSF15, TNFRSF4, CCL18, LIF, INHBA, TNFRSF9, TNFSF11, IL23A, PRLR, CCL20, IL20RA, ACVR1"], ["hsa04115", "p53 signaling pathway", "8", "1.95", "5.54E−03", "CCND1, SERPINB5, CD82, RRM2, TSC2, CASP8, PMAIP1, ATM"], ["hsa04110", "Cell cycle", "9", "2.19", "0.045", "CCND1, PKMYT1, PRKDC, RB1, CDC16, CDC27, ATM, WEE1, TFDP1"], ["Hypermethylation and low expression"], ["hsa04020", "Calcium signaling pathway", "12", "5.02", "7.80E−04", "EGFR, EDNRB, ADCY2, PTGER3, PDE1B, PDE1C, DRD5, GRIN2A, PLCD1, ITPKB, CAMK2B, PTGFR"], ["hsa04950", "Maturity onset diabetes of the young", "5", "2.09", "1.45E−03", "HHEX, NEUROD1, HNF4G, NEUROG3, NKX2-2"], ["hsa04514", "Cell adhesion molecules (CAMs)", "8", "3.35", "0.017", "NCAM1, CD8A, ITGA8, NLGN4X, CNTN1, ITGA4, JAM2, HLA-G"], ["hsa04080", "Neuroactive ligand-receptor interaction", "11", "4.60", "0.033", "EDNRB, SSTR2, PTGER3, GABRB3, GRIK1, GRIK2, DRD5, GRIN2A, GRIA3, PTGFR, VIPR2"], ["hsa04062", "Chemokine signaling pathway", "9", "3.77", "0.035", "DOCK2, ADCY2, CXCL14, TIAM1, HCK, PIK3CD, CCR10, RAP1A, ELMO1"], ["hsa04666", "Fc gamma R-mediated phagocytosis", "6", "2.51", "0.043", "DOCK2, HCK, PIK3CD, ARF6, AMPH, DNM2"]], "row_count": 12, "column_count": 6, "numeric_cells": 42, "header_rows": 1, "locator": "section[10]/table-wrap[2]#Tab2"}}, {"id": "asset:table:pmid:28794688:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:bb4cd6a79a63adf8db5840c4ee91f6ce0e840cc81f2859c31a9761e79993bd21", "bytes": 1330, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[1]#Tab3", "version": null, "note": "Module analysis of the protein–protein interaction network", "structure": {"pmcid": "PMC5545832", "section_index": 12, "section_title": "PPI network construction, module analysis and hub gene selection", "row_count": 13, "column_count": 6}, "table": {"label": "Table 3", "caption": "Module analysis of the protein–protein interaction network", "rows": [["Category", "Module", "Function description", "FDR", "Nodes", "Genes"], ["Hypomethylation and high expression"], ["", "1", "Chemokine signaling pathway", "1.14E−10", "6", "CCL18, CXCL2, CXCL1, CCL20, CXCL9, CXCL3"], ["", "2", "Ribosome", "6.80E−04", "5", "RPL31, PABPC1, UPF3A, RPS15A, 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