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pmid:33777260

The Genetic and Epigenetic Mechanisms Involved in Irreversible Pulp Neural Inflammation.

Xiaoxi Xi · Yihong Ma · Yuzhen Xu · Anthony Chukwunonso Ogbuehi · Xiangqiong Liu · Yupei Deng · Junming Xi · Haitong Pan · Qian Lin · Bo Li · Wanchen Ning · Xiao Jiang · Hanluo Li · Simin Li · Xianda Hu

Disease markers · 2021 doi:10.1155/2021/8831948

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Experiment

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Data

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:33777260
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science-record
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sha256:2668ac8b38e9a1774682153af311f4a12030a55aab7e5e88890b2df500f5cd54
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created_at
2026-11-01T15:41:30Z
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2026-11-01T22:03:25Z
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paper object · 10 fields
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title
The Genetic and Epigenetic Mechanisms Involved in Irreversible Pulp Neural Inflammation.
doi
10.1155/2021/8831948
pmid
33777260
authors array · 15 items
[0]
Xiaoxi Xi
[1]
Yihong Ma
[2]
Yuzhen Xu
[3]
Anthony Chukwunonso Ogbuehi
[4]
Xiangqiong Liu
[5]
Yupei Deng
[6]
Junming Xi
[7]
Haitong Pan
[8]
Qian Lin
[9]
Bo Li
[10]
Wanchen Ning
[11]
Xiao Jiang
[12]
Hanluo Li
[13]
Simin Li
[14]
Xianda Hu
journal
Disease markers
year
2021
abstract
AIM: To identify the critical genetic and epigenetic biomarkers by constructing the long noncoding RNA- (lncRNA-) related competing endogenous RNA (ceRNA) network involved in irreversible pulp neural inflammation (pulpitis). MATERIALS AND METHODS: The public datasets regarding irreversible pulpitis were downloaded from the gene expression omnibus (GEO) database. The differential expression analysis was performed to identify the differentially expressed genes (DEGs) and DElncRNAs. Functional enrichment analysis was performed to explore the biological processes and signaling pathways enriched by DEGs. By performing a weighted gene coexpression network analysis (WGCNA), the significant gene modules in each dataset were identified. Most importantly, DElncRNA-DEmRNA regulatory network and DElncRNA-associated ceRNA network were constructed. A transcription factor- (TF-) DEmRNA network was built to identify the critical TFs involved in pulpitis. RESULT: Two datasets (GSE92681 and GSE77459) were selected for analysis. DEGs involved in pulpitis were significantly enriched in seven signaling pathways (i.e., NOD-like receptor (NLR), Toll-like receptor (TLR), NF-kappa B, tumor necrosis factor (TNF), cell adhesion molecules (CAMs), chemokine, and cytokine-cytokine receptor interaction pathways). The ceRNA regulatory relationships were established consisting of three genes (i.e., LCP1, EZH2, and NR4A1), five miRNAs (i.e., miR-340-5p, miR-4731-5p, miR-27a-3p, miR-34a-5p, and miR-766-5p), and three lncRNAs (i.e., XIST, MIR155HG, and LINC00630). Six transcription factors (i.e., GATA2, ETS1, FOXP3, STAT1, FOS, and JUN) were identified to play pivotal roles in pulpitis. CONCLUSION: This paper demonstrates the genetic and epigenetic mechanisms of irreversible pulpitis by revealing the ceRNA network. The biomarkers identified could provide research direction for the application of genetically modified stem cells in endodontic regeneration.
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Based on the GSE92681 dataset, the coexpression status of DElncRNAs and DEGs was calculated by using a statistical method—Pearson correlation.
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sections[9] "2.7. Functional Enrichment Analysis of DElncRNAs" paragraph 2
quote
Based on the GSE92681 dataset, the coexpression status of DElncRNAs and DEGs was calculated by using a statistical method—Pearson correlation.
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The data used to support the findings of this study are available from the corresponding author upon reasonable request.
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sections[28] "Data Availability" paragraph 2
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The data used to support the findings of this study are available from the corresponding author upon reasonable request.
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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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Gene Expression Profile of Pulpitis
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Differential Expression of LncRNAs and mRNAs in normal and inflamed human pulp
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The pulpitis-related datasets used for the present analysis.
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3.2. Identification of DEGs
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The pulpitis-related datasets used for the present analysis.
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The number of upregulated and downregulated DEGs or DElncRNAs identified from included datasets.
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3.2. Identification of DEGs
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Table 2
caption
The number of upregulated and downregulated DEGs or DElncRNAs identified from included datasets.
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The topological characteristics of the top 20 nodes in the PPI network.
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3.4. Identification of Hub Genes by Constructing the PPI Network
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Table 3
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The topological characteristics of the top 20 nodes in the PPI network.
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The topological characteristics of the top 20 nodes in the DElncRNA-DEG regulatory network.
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3.7. The DElncRNA-DEG Regulatory Network
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The topological characteristics of the top 20 nodes in the DElncRNA-DEG regulatory network.
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[1]
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[6]
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Regulate
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lncRNAup
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lncRNAup
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lncRNAup
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lncRNAup
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[4]
0.3
[5]
0.36111111
[6]
0.39869281
[7]
lncRNAup
[16] array · 8 items
[0]
RP11-521D12.1
[1]
13
[2]
3.35
[3]
0.00459174
[4]
0.29850746
[5]
0.5
[6]
0.43382353
[7]
lncRNAup
[17] array · 8 items
[0]
RP5-991O23.1
[1]
13
[2]
3.03333333
[3]
0.01404135
[4]
0.32967033
[5]
0.33333333
[6]
0.31481481
[7]
lncRNAup
[18] array · 8 items
[0]
CTD-2296D1.1
[1]
12
[2]
3.36666667
[3]
0.00429011
[4]
0.2970297
[5]
0.5
[6]
0.453125
[7]
lncRNAup
[19] array · 8 items
[0]
RP3-340N1.6
[1]
12
[2]
3.35
[3]
0.0054601
[4]
0.29850746
[5]
0.57142857
[6]
0.44852941
[7]
lncRNAup
[20] array · 8 items
[0]
MIR155HG
[1]
11
[2]
2.55
[3]
0.41865079
[4]
0.39215686
[5]
0
[6]
0.12121212
[7]
lncRNAup
locator
section[21]/table-wrap[1]#tab4
[7] object · 16 fields
id
asset:table:pmid:33777260:5
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:fb5350f95fcf420118a8e113d9cf5b3526b64219cb00c054243ac056279c539b
bytes
1980
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[22]/table-wrap[1]#tab5
version
null
note
The topological characteristics of the top 20 nodes in the TF-DEG regulatory network.
structure object · 5 fields
pmcid
PMC7968449
section_index
22
section_title
3.8. Identification of Hub Transcription Factor
row_count
21
column_count
7
table object · 8 fields
label
Table 5
caption
The topological characteristics of the top 20 nodes in the TF-DEG regulatory network.
rows array · 21 items
[0] array · 7 items
[0]
Name
[1]
Degree
[2]
Average shortest path length
[3]
Betweenness centrality
[4]
Closeness centrality
[5]
Clustering coefficient
[6]
Topological coefficient
[1] array · 7 items
[0]
GATA2
[1]
518
[2]
2.03887936
[3]
0.11659147
[4]
0.49046551
[5]
0.00308432
[6]
0.02016302
[2] array · 7 items
[0]
ETS1
[1]
508
[2]
2.05603202
[3]
0.11527216
[4]
0.48637375
[5]
0.0028654
[6]
0.02038007
[3] array · 7 items
[0]
YBX1
[1]
425
[2]
2.22012579
[3]
0.09284757
[4]
0.45042493
[5]
0.00137625
[6]
0.02440558
[4] array · 7 items
[0]
AR
[1]
414
[2]
2.18753573
[3]
0.08279112
[4]
0.45713539
[5]
0.0032635
[6]
0.02330064
[5] array · 7 items
[0]
FOXP3
[1]
407
[2]
2.24013722
[3]
0.09211348
[4]
0.44640123
[5]
0.00128297
[6]
0.02202286
[6] array · 7 items
[0]
GATA1
[1]
322
[2]
2.30360206
[3]
0.03470622
[4]
0.43410276
[5]
0.00336681
[6]
0.02811219
[7] array · 7 items
[0]
SP1
[1]
214
[2]
2.3619211
[3]
0.02271018
[4]
0.42338417
[5]
0.00842438
[6]
0.03168479
[8] array · 7 items
[0]
E2F4
[1]
203
[2]
2.50714694
[3]
0.02510997
[4]
0.39885975
[5]
0.00248744
[6]
0.03155395
[9] array · 7 items
[0]
PRDM14
[1]
194
[2]
2.47970269
[3]
0.01761185
[4]
0.40327415
[5]
0.00459377
[6]
0.03274385
[10] array · 7 items
[0]
ARNT
[1]
190
[2]
2.47970269
[3]
0.00990145
[4]
0.40327415
[5]
0.00668338
[6]
0.04482786
[11] array · 7 items
[0]
MIA3
[1]
182
[2]
2.51172098
[3]
0.00828163
[4]
0.39813339
[5]
0.00558557
[6]
0.04629319
[12] array · 7 items
[0]
JUN
[1]
179
[2]
2.45740423
[3]
0.0132459
[4]
0.40693346
[5]
0.01726194
[6]
0.03584432
[13] array · 7 items
[0]
CREB1
[1]
178
[2]
2.43853631
[3]
0.0134572
[4]
0.41008206
[5]
0.01314035
[6]
0.03899076
[14] array · 7 items
[0]
FOS
[1]
178
[2]
2.04116638
[3]
0.03258878
[4]
0.48991597
[5]
0.05986161
[6]
0.0352397
[15] array · 7 items
[0]
STAT1
[1]
176
[2]
2.51229274
[3]
0.01672367
[4]
0.39804279
[5]
0.00525974
[6]
0.03983636
[16] array · 7 items
[0]
CEBPA
[1]
168
[2]
2.58604917
[3]
0.01187163
[4]
0.38669025
[5]
0.00377816
[6]
0.04812159
[17] array · 7 items
[0]
AHR
[1]
168
[2]
2.53459119
[3]
0.00776619
[4]
0.39454094
[5]
0.00620188
[6]
0.04722287
[18] array · 7 items
[0]
E2F1
[1]
165
[2]
2.50085763
[3]
0.01123109
[4]
0.39986283
[5]
0.00657797
[6]
0.04104892
[19] array · 7 items
[0]
PAX5
[1]
164
[2]
2.51172098
[3]
0.00771197
[4]
0.39813339
[5]
0.00890319
[6]
0.0434212
[20] array · 7 items
[0]
Pax-5
[1]
161
[2]
2.56089194
[3]
0.0066902
[4]
0.39048895
[5]
0.00535714
[6]
0.04834386
locator
section[22]/table-wrap[1]#tab5
[8] object · 16 fields
id
asset:table:pmid:33777260:6
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:656908f5b07b7f754b76691f1100a6b249c0238399910197741f9b290a8b473b
bytes
2124
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[24]/table-wrap[1]#tab6
version
null
note
The topological characteristics of the top 25 gene nodes in the PPI network of the blue module within the GSE77549 dataset.
structure object · 5 fields
pmcid
PMC7968449
section_index
24
section_title
3.10. Construction of PPI Network for Selected Significant Gene Modules
row_count
26
column_count
7
table object · 8 fields
label
Table 6
caption
The topological characteristics of the top 25 gene nodes in the PPI network of the blue module within the GSE77549 dataset.
rows array · 26 items
[0] array · 7 items
[0]
Name
[1]
Degree
[2]
Betweenness centrality
[3]
Closeness centrality
[4]
Clustering coefficient
[5]
Topological coefficient
[6]
Regulate
[1] array · 7 items
[0]
NTRK1
[1]
1981
[2]
0.797678
[3]
0.550769
[4]
8.10E − 05
[5]
0.00147
[6]
Other_gene
[2] array · 7 items
[0]
TUBA4A
[1]
182
[2]
0.057422
[3]
0.34576
[4]
2.46E − 04
[5]
0.012097
[6]
Other_gene
[3] array · 7 items
[0]
PTPRK
[1]
110
[2]
0.048111
[3]
0.334924
[4]
5.10E − 04
[5]
0.017763
[6]
Other_gene
[4] array · 7 items
[0]
ACTN2
[1]
101
[2]
0.04028
[3]
0.340466
[4]
8.08E − 04
[5]
0.012519
[6]
Other_gene
[5] array · 7 items
[0]
MSH6
[1]
98
[2]
0.029296
[3]
0.414544
[4]
0.009211
[5]
0.011399
[6]
Other_gene
[6] array · 7 items
[0]
COPS7A
[1]
87
[2]
0.027065
[3]
0.331267
[4]
0
[5]
0.024951
[6]
Other_gene
[7] array · 7 items
[0]
BIRC3
[1]
79
[2]
0.030191
[3]
0.33259
[4]
0
[5]
0.022419
[6]
mRNA up
[8] array · 7 items
[0]
SH3GL1
[1]
79
[2]
0.025169
[3]
0.330228
[4]
0
[5]
0.023044
[6]
Other_gene
[9] array · 7 items
[0]
EPS8
[1]
78
[2]
0.030772
[3]
0.33259
[4]
0
[5]
0.022436
[6]
Other_gene
[10] array · 7 items
[0]
PTPRJ
[1]
76
[2]
0.02319
[3]
0.408163
[4]
0.008288
[5]
0.014223
[6]
Other_gene
[11] array · 7 items
[0]
UBC
[1]
75
[2]
0.16533
[3]
0.47619
[4]
0.005405
[5]
0.017173
[6]
Other_gene
[12] array · 7 items
[0]
RPRD1B
[1]
71
[2]
0.019601
[3]
0.329863
[4]
0
[5]
0.026232
[6]
Other_gene
[13] array · 7 items
[0]
TJP2
[1]
68
[2]
0.019477
[3]
0.328079
[4]
0
[5]
0.027715
[6]
Other_gene
[14] array · 7 items
[0]
BID
[1]
65
[2]
0.018865
[3]
0.33035
[4]
0
[5]
0.030769
[6]
Other_gene
[15] array · 7 items
[0]
TBL1XR1
[1]
62
[2]
0.023597
[3]
0.409283
[4]
0.010929
[5]
0.017196
[6]
Other_gene
[16] array · 7 items
[0]
GRAP2
[1]
59
[2]
0.019032
[3]
0.330838
[4]
6.05E − 04
[5]
0.027809
[6]
Other_gene
[17] array · 7 items
[0]
MAP2
[1]
57
[2]
0.016676
[3]
0.406541
[4]
0.014935
[5]
0.018914
[6]
Other_gene
[18] array · 7 items
[0]
TIMMDC1
[1]
53
[2]
0.022335
[3]
0.327539
[4]
7.54E − 04
[5]
0.025227
[6]
Other_gene
[19] array · 7 items
[0]
BACH1
[1]
48
[2]
0.013952
[3]
0.327929
[4]
0
[5]
0.036859
[6]
Other_gene
[20] array · 7 items
[0]
DTL
[1]
48
[2]
0.009929
[3]
0.332961
[4]
0.006475
[5]
0.032282
[6]
Other_gene
[21] array · 7 items
[0]
CORO1A
[1]
46
[2]
0.016515
[3]
0.327929
[4]
0
[5]
0.029927
[6]
mRNA up
[22] array · 7 items
[0]
MX1
[1]
43
[2]
0.013576
[3]
0.329347
[4]
0
[5]
0.037265
[6]
Other_gene
[23] array · 7 items
[0]
TWIST1
[1]
41
[2]
0.011401
[3]
0.290915
[4]
0
[5]
0.053215
[6]
Other_gene
[24] array · 7 items
[0]
ITPR3
[1]
39
[2]
0.011085
[3]
0.327419
[4]
0
[5]
0.039683
[6]
mRNA up
[25] array · 7 items
[0]
PTPRB
[1]
36
[2]
0.007233
[3]
0.37609
[4]
0.018487
[5]
0.029667
[6]
mRNA up
locator
section[24]/table-wrap[1]#tab6
[9] object · 16 fields
id
asset:table:pmid:33777260:7
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:8d3f7bb9b5c16e8b4e57df092662be8bbd20ef772c93a8800f4ee4ba1352e21d
bytes
2507
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[24]/table-wrap[2]#tab7
version
null
note
The topological characteristics of the top 25 gene nodes in the PPI network of the green module within the GSE92681 dataset.
structure object · 5 fields
pmcid
PMC7968449
section_index
24
section_title
3.10. Construction of PPI Network for Selected Significant Gene Modules
row_count
26
column_count
8
table object · 8 fields
label
Table 7
caption
The topological characteristics of the top 25 gene nodes in the PPI network of the green module within the GSE92681 dataset.
rows array · 26 items
[0] array · 8 items
[0]
Name
[1]
Degree
[2]
Average shortest path length
[3]
Betweenness centrality
[4]
Closeness centrality
[5]
Clustering coefficient
[6]
Topological coefficient
[7]
Regulate
[1] array · 8 items
[0]
PSMA2
[1]
145
[2]
2.84572072
[3]
0.30956005
[4]
0.35140483
[5]
0
[6]
0.01436782
[7]
Other gene
[2] array · 8 items
[0]
IK
[1]
83
[2]
3.14752252
[3]
0.16898579
[4]
0.3177102
[5]
0
[6]
0.02628697
[7]
mRNA down
[3] array · 8 items
[0]
BCAR1
[1]
82
[2]
3.0731982
[3]
0.18704239
[4]
0.32539392
[5]
0
[6]
0.02264808
[7]
Other gene
[4] array · 8 items
[0]
TCF12
[1]
77
[2]
2.88400901
[3]
0.27221312
[4]
0.34673955
[5]
0
[6]
0.01974026
[7]
Other gene
[5] array · 8 items
[0]
SAV1
[1]
74
[2]
3.6768018
[3]
0.14809265
[4]
0.2719755
[5]
0
[6]
0.02402402
[7]
Other gene
[6] array · 8 items
[0]
NDN
[1]
61
[2]
3.29391892
[3]
0.12878792
[4]
0.30358974
[5]
0
[6]
0.02157032
[7]
Other gene
[7] array · 8 items
[0]
ERGIC3
[1]
55
[2]
3.31644144
[3]
0.11672478
[4]
0.30152801
[5]
0
[6]
0.02121212
[7]
Other gene
[8] array · 8 items
[0]
ASB3
[1]
38
[2]
3.51914414
[3]
0.07839935
[4]
0.28416
[5]
0
[6]
0.03827751
[7]
Other gene
[9] array · 8 items
[0]
MMP7
[1]
37
[2]
4.70157658
[3]
0.08120061
[4]
0.21269461
[5]
0
[6]
0.04054054
[7]
mRNA up
[10] array · 8 items
[0]
WT1
[1]
35
[2]
3.74887387
[3]
0.08035061
[4]
0.26674677
[5]
0
[6]
0.04642857
[7]
Other gene
[11] array · 8 items
[0]
DGCR14
[1]
32
[2]
3.37274775
[3]
0.05414526
[4]
0.29649416
[5]
0
[6]
0.05208333
[7]
Other gene
[12] array · 8 items
[0]
RIOK3
[1]
28
[2]
3.19256757
[3]
0.06657298
[4]
0.31322751
[5]
0
[6]
0.05844156
[7]
Other gene
[13] array · 8 items
[0]
DUS3L
[1]
26
[2]
3.3704955
[3]
0.04976931
[4]
0.29669228
[5]
0
[6]
0.05668016
[7]
Other gene
[14] array · 8 items
[0]
FAM74A4
[1]
26
[2]
4.65202703
[3]
0.02931155
[4]
0.21496006
[5]
0
[6]
0.19230769
[7]
Other gene
[15] array · 8 items
[0]
FAM74A6
[1]
25
[2]
4.65427928
[3]
0.0262998
[4]
0.21485604
[5]
0
[6]
0.19333333
[7]
Other gene
[16] array · 8 items
[0]
LRRC1
[1]
23
[2]
3.20157658
[3]
0.05583233
[4]
0.31234611
[5]
0
[6]
0.06126482
[7]
Other gene
[17] array · 8 items
[0]
PCYT2
[1]
21
[2]
3.31869369
[3]
0.04192798
[4]
0.30132338
[5]
0
[6]
0.05555556
[7]
Other gene
[18] array · 8 items
[0]
UBC
[1]
18
[2]
2.51351351
[3]
0.42421401
[4]
0.39784946
[5]
0
[6]
0.06050955
[7]
Other gene
[19] array · 8 items
[0]
BCORL1
[1]
16
[2]
3.4786036
[3]
0.02550435
[4]
0.28747167
[5]
0
[6]
0.08455882
[7]
Other gene
[20] array · 8 items
[0]
NCOA7
[1]
13
[2]
4.68581081
[3]
0.02298401
[4]
0.21341024
[5]
0
[6]
0.07692308
[7]
Other gene
[21] array · 8 items
[0]
STX10
[1]
13
[2]
3.48536036
[3]
0.02685944
[4]
0.28691438
[5]
0
[6]
0.07692308
[7]
Other gene
[22] array · 8 items
[0]
SGK3
[1]
12
[2]
3.35472973
[3]
0.03075664
[4]
0.29808661
[5]
0
[6]
0.11507937
[7]
Other gene
[23] array · 8 items
[0]
PRKX
[1]
11
[2]
4.67004505
[3]
0.01823525
[4]
0.2141307
[5]
0
[6]
0.18181818
[7]
Other gene
[24] array · 8 items
[0]
RNF135
[1]
10
[2]
4.73536036
[3]
0.01245585
[4]
0.21117717
[5]
0
[6]
0.2
[7]
Other gene
[25] array · 8 items
[0]
DFNA5
[1]
9
[2]
3.49436937
[3]
0.01078561
[4]
0.28617467
[5]
0
[6]
0.16339869
[7]
Other gene
locator
section[24]/table-wrap[2]#tab7
[10] object · 16 fields
id
asset:table:pmid:33777260:8
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:6cbf384f0c00e50ca5a1a669716338108bb092b6801dfff62c384919bd441507
bytes
1818
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[25]/table-wrap[1]#tab8
version
null
note
The topological characteristics of the top 20 nodes in the ceRNA network.
structure object · 5 fields
pmcid
PMC7968449
section_index
25
section_title
3.11. The ceRNA Network
row_count
21
column_count
6
table object · 8 fields
label
Table 8
caption
The topological characteristics of the top 20 nodes in the ceRNA network.
rows array · 21 items
[0] array · 6 items
[0]
Name
[1]
Degree
[2]
Average shortest path length
[3]
Betweenness centrality
[4]
Closeness centrality
[5]
Topological coefficient
[1] array · 6 items
[0]
XIST
[1]
95
[2]
1.85534591
[3]
0.78103311
[4]
0.53898305
[5]
0.03168803
[2] array · 6 items
[0]
hsa-miR-340-5p
[1]
21
[2]
2.58490566
[3]
0.07287356
[4]
0.38686131
[5]
0.06802721
[3] array · 6 items
[0]
MIR155HG
[1]
17
[2]
3.73899371
[3]
0.06134578
[4]
0.26745164
[5]
0.09207161
[4] array · 6 items
[0]
hsa-miR-4731-5p
[1]
15
[2]
2.7327044
[3]
0.05609297
[4]
0.36593786
[5]
0.07777778
[5] array · 6 items
[0]
hsa-miR-5590-3p
[1]
15
[2]
2.71069182
[3]
0.03529256
[4]
0.36890951
[5]
0.09122807
[6] array · 6 items
[0]
hsa-miR-27a-3p
[1]
14
[2]
2.75157233
[3]
0.02751162
[4]
0.36342857
[5]
0.0924812
[7] array · 6 items
[0]
hsa-miR-27b-3p
[1]
14
[2]
2.75157233
[3]
0.02751162
[4]
0.36342857
[5]
0.0924812
[8] array · 6 items
[0]
hsa-miR-329-3p
[1]
14
[2]
2.71698113
[3]
0.03095743
[4]
0.36805556
[5]
0.09323308
[9] array · 6 items
[0]
hsa-miR-362-3p
[1]
13
[2]
2.72327044
[3]
0.02835696
[4]
0.36720554
[5]
0.09797571
[10] array · 6 items
[0]
LCP1
[1]
13
[2]
3.71069182
[3]
0.0012642
[4]
0.26949153
[5]
0.36153846
[11] array · 6 items
[0]
hsa-miR-494-3p
[1]
13
[2]
2.72955975
[3]
0.03199119
[4]
0.36635945
[5]
0.10576923
[12] array · 6 items
[0]
hsa-miR-424-5p
[1]
12
[2]
2.71698113
[3]
0.02811
[4]
0.36805556
[5]
0.12152778
[13] array · 6 items
[0]
hsa-miR-2682-5p
[1]
12
[2]
2.72327044
[3]
0.02462859
[4]
0.36720554
[5]
0.12457045
[14] array · 6 items
[0]
hsa-miR-515-5p
[1]
12
[2]
2.78301887
[3]
0.02610732
[4]
0.35932203
[5]
0.10283688
[15] array · 6 items
[0]
hsa-miR-766-5p
[1]
12
[2]
2.70440252
[3]
0.04407579
[4]
0.36976744
[5]
0.11139456
[16] array · 6 items
[0]
hsa-miR-449c-5p
[1]
12
[2]
2.72327044
[3]
0.01602592
[4]
0.36720554
[5]
0.13058419
[17] array · 6 items
[0]
EZH2
[1]
11
[2]
3.40880503
[3]
0.01905647
[4]
0.29335793
[5]
0.27548209
[18] array · 6 items
[0]
NR4A1
[1]
11
[2]
3.46226415
[3]
0.01590906
[4]
0.28882834
[5]
0.30976431
[19] array · 6 items
[0]
hsa-miR-34a-5p
[1]
11
[2]
2.77044025
[3]
0.01309547
[4]
0.36095346
[5]
0.13492823
[20] array · 6 items
[0]
hsa-miR-449a
[1]
11
[2]
2.77044025
[3]
0.01309547
[4]
0.36095346
[5]
0.13492823
locator
section[25]/table-wrap[1]#tab8
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method-1
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correlation_analysis
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pearson
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Correlation analysis
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pearson_r
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paired_numeric_columns
evidence object · 3 fields
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Based on the GSE92681 dataset, the coexpression status of DElncRNAs and DEGs was calculated by using a statistical method—Pearson correlation.
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evidence object · 3 fields
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Automated Assays Laravel application and simulated adapters
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pearson_r
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: pearson.
capability object · 4 fields
tier
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capability_id
capability:computational_analysis
availability_state
owned
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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tier
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GSE92681
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GSE77459
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GSE92681
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GSE77459
statements array · 1 item
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The data used to support the findings of this study are available from the corresponding author upon reasonable request.
basis
The paper names GSE92681, GSE77459 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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minimax
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Based on the GSE92681 dataset, the coexpression status of DElncRNAs and DEGs was calculated by using a statistical method—Pearson correlation.
order_basis
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33777260", "kind": "science-record", "revision": 7, "content_hash": "sha256:2668ac8b38e9a1774682153af311f4a12030a55aab7e5e88890b2df500f5cd54", "created_at": "2026-11-01T15:41:30Z", "updated_at": "2026-11-01T22:03:25Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The Genetic and Epigenetic Mechanisms Involved in Irreversible Pulp Neural Inflammation.", "doi": "10.1155/2021/8831948", "pmid": "33777260", "authors": ["Xiaoxi Xi", "Yihong Ma", "Yuzhen Xu", "Anthony Chukwunonso Ogbuehi", "Xiangqiong Liu", "Yupei Deng", "Junming Xi", "Haitong Pan", "Qian Lin", "Bo Li", "Wanchen Ning", "Xiao Jiang", "Hanluo Li", "Simin Li", "Xianda Hu"], "journal": "Disease markers", "year": 2021, "abstract": "AIM: To identify the critical genetic and epigenetic biomarkers by constructing the long noncoding RNA- (lncRNA-) related competing endogenous RNA (ceRNA) network involved in irreversible pulp neural inflammation (pulpitis).\nMATERIALS AND METHODS: The public datasets regarding irreversible pulpitis were downloaded from the gene expression omnibus (GEO) database. The differential expression analysis was performed to identify the differentially expressed genes (DEGs) and DElncRNAs. Functional enrichment analysis was performed to explore the biological processes and signaling pathways enriched by DEGs. By performing a weighted gene coexpression network analysis (WGCNA), the significant gene modules in each dataset were identified. Most importantly, DElncRNA-DEmRNA regulatory network and DElncRNA-associated ceRNA network were constructed. A transcription factor- (TF-) DEmRNA network was built to identify the critical TFs involved in pulpitis.\nRESULT: Two datasets (GSE92681 and GSE77459) were selected for analysis. DEGs involved in pulpitis were significantly enriched in seven signaling pathways (i.e., NOD-like receptor (NLR), Toll-like receptor (TLR), NF-kappa B, tumor necrosis factor (TNF), cell adhesion molecules (CAMs), chemokine, and cytokine-cytokine receptor interaction pathways). The ceRNA regulatory relationships were established consisting of three genes (i.e., LCP1, EZH2, and NR4A1), five miRNAs (i.e., miR-340-5p, miR-4731-5p, miR-27a-3p, miR-34a-5p, and miR-766-5p), and three lncRNAs (i.e., XIST, MIR155HG, and LINC00630). Six transcription factors (i.e., GATA2, ETS1, FOXP3, STAT1, FOS, and JUN) were identified to play pivotal roles in pulpitis.\nCONCLUSION: This paper demonstrates the genetic and epigenetic mechanisms of irreversible pulpitis by revealing the ceRNA network. The biomarkers identified could provide research direction for the application of genetically modified stem cells in endodontic regeneration.", "claims": [{"id": "claim-method", "statement": "Based on the GSE92681 dataset, the coexpression status of DElncRNAs and DEGs was calculated by using a statistical method—Pearson correlation.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33777260", "locator": "sections[9] \"2.7. Functional Enrichment Analysis of DElncRNAs\" paragraph 2", "quote": "Based on the GSE92681 dataset, the coexpression status of DElncRNAs and DEGs was calculated by using a statistical method—Pearson correlation."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used to support the findings of this study are available from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33777260", "locator": "sections[28] \"Data Availability\" paragraph 2", "quote": "The data used to support the findings of this study are available from the corresponding author upon reasonable request."}], "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:33777260"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE77459"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE77459"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33777260", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2021/8831948", "sha256": "sha256:0afa4b11bae509d613ea0c98ceb8eef89e88cb12630a2c80871c1df156b5402c", "bytes": 70049, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2021/8831948", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7968449", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE77459", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE77459", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE77459", "version": null, "note": "The data used to support the findings of this study are available from the corresponding author upon reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data used to support the findings of this study are available from the corresponding author upon reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2052371", "GSM2052372", "GSM2052373", "GSM2052374", "GSM2052375", "GSM2052376", "GSM2052377", "GSM2052378", "GSM2052379", "GSM2052380", "GSM2052381", "GSM2052382"], "sample_count": 12, "group_sizes": null, "group_sizes_basis": null, "platform": "17692", "taxon": "Homo sapiens", "title": "Gene Expression Profile of Pulpitis", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE92681", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92681", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE92681", "version": null, "note": "The data used to support the findings of this study are available from the corresponding author upon reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data used to support the findings of this study are available from the corresponding author upon reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2434473", "GSM2434474", "GSM2434475", "GSM2434476", "GSM2434477", "GSM2434478", "GSM2434479", "GSM2434480", "GSM2434481", "GSM2434482", "GSM2434483", "GSM2434484"], "sample_count": 12, "group_sizes": null, "group_sizes_basis": null, "platform": "16956", "taxon": "Homo sapiens", "title": "Differential Expression of LncRNAs and mRNAs in normal and inflamed human pulp", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:33777260:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:9543c91f1964c55138d19f715f00bfe4ec2fd9831fe79e4656b72025378e8251", "bytes": 394, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[16]/table-wrap[1]#tab1", "version": null, "note": "The pulpitis-related datasets used for the present analysis.", "structure": {"pmcid": "PMC7968449", "section_index": 16, "section_title": "3.2. Identification of DEGs", "row_count": 3, "column_count": 4}, "table": {"label": "Table 1", "caption": "The pulpitis-related datasets used for the present analysis.", "rows": [["Datasets", "Experimental type of datasets", "Sample size of inflamed pulp tissue", "Sample size of healthy pulp tissue"], ["GSE92681", "Noncoding RNA", "7", "5"], ["GSE77459", "mRNA", "6", "6"]], "row_count": 3, "column_count": 4, "numeric_cells": 6, "header_rows": 1, "locator": "section[16]/table-wrap[1]#tab1"}}, {"id": "asset:table:pmid:33777260:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:a1d1906e3355972c5116d9ae86b966fdf914bd376bc6959471c1d2ef1d81444f", "bytes": 462, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[16]/table-wrap[2]#tab2", "version": null, "note": "The number of upregulated and downregulated DEGs or DElncRNAs identified from included datasets.", "structure": {"pmcid": "PMC7968449", "section_index": 16, "section_title": "3.2. 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