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pmid:33462173

Bioinformatics Analysis of Differentially Expressed Genes and Protein-Protein Interaction Networks Associated with Functional Pathways in Ulcerative Colitis.

Feng Cao · Yun-Sheng Cheng · Liang Yu · Yan-Yan Xu · Yong Wang

Medical science monitor : international medical journal of experimental and clinical research · 2021 doi:10.12659/MSM.927917

Paper

complete

Experiment

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Data

partial

Analysis

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Execution

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2026-11-01T15:41:23Z
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2026-11-01T22:46:00Z
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title
Bioinformatics Analysis of Differentially Expressed Genes and Protein-Protein Interaction Networks Associated with Functional Pathways in Ulcerative Colitis.
doi
10.12659/MSM.927917
pmid
33462173
authors array · 5 items
[0]
Feng Cao
[1]
Yun-Sheng Cheng
[2]
Liang Yu
[3]
Yan-Yan Xu
[4]
Yong Wang
journal
Medical science monitor : international medical journal of experimental and clinical research
year
2021
abstract
BACKGROUND This bioinformatics study aimed to identify differentially expressed genes (DEGs) and protein-protein interaction (PPI) networks associated with functional pathways in ulcerative colitis based on 3 Gene Expression Omnibus (GEO) datasets. MATERIAL AND METHODS The GSE87466, GSE75214, and GSE48958 MINiML formatted family files were downloaded from the GEO database. DEGs were identified from the 3 datasets, and volcano maps and heat maps were drawn after R language standardization and analysis, respectively. Venn diagram software was used to identify common DEGs. PPI analysis of common DEGs was performed using the Search Tool for the Retrieval of Interacting Genes. Gene modules and hub genes were visualized in the PPI network using Cytoscape. Enrichment analysis was performed for all common DEGs, module genes, and hub genes. RESULTS A total of 90 DEGs were selected, which included 3 functional modules and 1 hub gene module. CXCL8 module genes were mainly enriched in cytokine-mediated signaling pathways and interleukin (IL)-10 signaling. CCL20 module genes were mainly enriched in the IL-17 signaling pathway and cellular response to IL-1. Hub gene modules mainly involved IL-10, IL-4, and IL-13 signaling pathways. CXCL8, CXCL1, and IL-1ß were the top 3 hub genes and were mainly involved in IL-10 signaling. CONCLUSIONS Bioinformatics analysis using 3 GEO datasets identified CXCL8, CXCL1, and IL-1ß, which are involved in IL-10 signaling, as the top 3 hub genes in ulcerative colitis. The findings from this study remain to be validated, but they may contribute to the further understanding of the pathogenesis of ulcerative colitis.
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We used |logFC| >1.5 and P<0.05 as standards to identify DEGs through the “limma” R software package.
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We used |logFC| >1.5 and P<0.05 as standards to identify DEGs through the “limma” R software package.
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Mucosal gene expression profiling in patients with inflammatory bowel disease study
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Gene expression profiling of mucosal biopsies from adult patients with moderately to severely active ulcerative colitis
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The Gene Ontology enrichment analysis of the top 3 hub genes.
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Further enrichment analysis of the module genes and hub genes
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The Gene Ontology enrichment analysis of the top 3 hub genes.
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Genes
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Biological process
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Cellular component
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Molecular function
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CXCL8
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GO: 0001525 angiogenesis;GO: 0002237 response to molecule of bacterial origin;GO: 0006935 chemotaxis;GO: 0006952 defense response;GO: 0006954 inflammatory response;GO: 0006955 immune response;GO: 0007050 cell cycle arrest;GO: 0007165 signal transduction;GO: 0007186 G protein-coupled receptor signaling pathway;GO: 0008285 negative regulation of cell proliferation
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GO: 0006935 chemotaxis;GO: 0006952 defense response;GO: 0006954 inflammatory response;GO: 0006955 immune response;GO: 0007165 signal transduction;GO: 0007186 G protein-coupled receptor signaling pathway;GO: 0007399 nervous system development;GO: 0008285 negative regulation of cell proliferation;GO: 0019221 cytokine-mediated signaling pathway;GO: 0030036 actin cytoskeleton organization;
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GO: 0005576 extracellular region;GO: 0005615 extracellular space;GO: 0035580 specific granule lumen;GO: 1904724 tertiary granule lumen
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[2]
GO: 0005576 extracellular region;GO: 0005615 extracellular space;GO: 0005737 cytoplasm;GO: 0005764 lysosome;GO: 0005776 autophagosome; GO: 0005829 cytosol;GO: 0030141 secretory granule;GO: 0031410 cytoplasmic vesicle;GO: 0031982 vesicle
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GO: 0005125 cytokine activity;GO: 0005149 interleukin-1 receptor binding;GO: 0005178 integrin binding;GO: 0005515 protein binding;GO: 0019904 protein domain specific binding
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The main signaling pathway enrichment analysis of the top 3 hub genes.
structure object · 5 fields
pmcid
PMC7824989
section_index
12
section_title
Further enrichment analysis of the module genes and hub genes
row_count
9
column_count
5
table object · 8 fields
label
Table 2
caption
The main signaling pathway enrichment analysis of the top 3 hub genes.
rows array · 9 items
[0] array · 5 items
[0]
Pathway identifier
[1]
Pathway name
[2]
P value
[3]
FDR
[4]
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[1] array · 5 items
[0]
R-HSA-6783783
[1]
Interleukin-10 signaling
[2]
1.11E-16
[3]
3.11E-15
[4]
CXCL8; CCL20; IL1B; CXCL1; TIMP1; PTGS2
[2] array · 5 items
[0]
R-HSA-6785807
[1]
Interleukin-4 and Interleukin-13 signaling
[2]
1.11E-16
[3]
3.11E-15
[4]
SOCS3; CXCL8; NOS2; MMP1; IL1B; MMP3; LCN2; TIMP1; PTGS2
[3] array · 5 items
[0]
R-HSA-449147
[1]
Signaling by Interleukins
[2]
1.11E-16
[3]
3.11E-15
[4]
SOCS3; CXCL8; NOS2; MMP1; CCL20; IL1B; MMP3; LCN2; CXCL1; TIMP1; PTGS2
[4] array · 5 items
[0]
R-HSA-1280215
[1]
Cytokine signaling in immune system
[2]
1.11E-16
[3]
3.11E-15
[4]
SOCS3; CXCL8; NOS2; MMP1; CCL20; IL1B; MMP3; LCN2; CXCL1; TIMP1; PTGS2
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[0]
R-HSA-168256
[1]
Immune system
[2]
9.20E-13
[3]
2.02E-11
[4]
CXCL8; NOS2; MMP1; CCL20; MMP3; CXCL1; PTGS2; C3; SOCS3; IL1B; LCN2; CHI3L1; TIMP1
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[0]
R-HSA-380108
[1]
Chemokine receptors bind chemokines
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6.46E-09
[3]
1.03E-07
[4]
CXCL11; CXCL8; CCL20; CXCL1; CXCL13
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[0]
R-HSA-375276
[1]
Peptide ligand-binding receptors
[2]
7.91E-07
[3]
9.72E-06
[4]
C3; CXCL11; CXCL8; CCL20; CXCL1; CXCL13
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[0]
R-HSA-5660668
[1]
CLEC7A/inflammasome pathway
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1.18E-06
[3]
1.30E-05
[4]
IL1B
locator
section[12]/table-wrap[2]#t2-medscimonit-27-e927917
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asset:data:geo:GSE75214 licence not read
[4]
asset:data:geo:GSE87466 not downloaded
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asset:data:geo:GSE87466 licence not read
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differential_expression
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limma_voom
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Differential expression analysis
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normalise_counts
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We used |logFC| >1.5 and P<0.05 as standards to identify DEGs through the “limma” R software package.
[1] object · 10 fields
id
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Network / pathway analysis
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missing_operations array · 0 items
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data_shapes array · 1 item
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edge_list
evidence object · 3 fields
score
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Protein-Protein Interaction
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id
method-3
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network_analysis
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pathway_enrichment
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Network / pathway analysis
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pathway_enrich
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data_shapes array · 1 item
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pathway enrichment
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capability:computational_analysis
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Automated Assays Laravel application and simulated adapters
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom.
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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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GSE87466
[1]
GSE75214
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GSE48958
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GSE87466
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GSE75214
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GSE48958
statements array · 1 item
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The GSE87466, GSE75214, and GSE48958 datasets contained 21, 11, and 8 normal tissue samples and 87, 97, and 13 UC colon tissue samples, respectively.
basis
The paper names GSE87466, GSE75214, GSE48958 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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MiniMax-M3.1-Flash
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minimax
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single_reader
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PMID 33462173 full text
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GEO GSE48958
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agent:corpus-assay-engine
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agent:minimax-reader
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agent:corpus-assay-engine
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33462173", "kind": "science-record", "revision": 9, "content_hash": "sha256:0f612fb2af91a05540a526ab4549ba4e36607d33676717ad83369b10e537d892", "created_at": "2026-11-01T15:41:23Z", "updated_at": "2026-11-01T22:46:00Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics Analysis of Differentially Expressed Genes and Protein-Protein Interaction Networks Associated with Functional Pathways in Ulcerative Colitis.", "doi": "10.12659/MSM.927917", "pmid": "33462173", "authors": ["Feng Cao", "Yun-Sheng Cheng", "Liang Yu", "Yan-Yan Xu", "Yong Wang"], "journal": "Medical science monitor : international medical journal of experimental and clinical research", "year": 2021, "abstract": "BACKGROUND This bioinformatics study aimed to identify differentially expressed genes (DEGs) and protein-protein interaction (PPI) networks associated with functional pathways in ulcerative colitis based on 3 Gene Expression Omnibus (GEO) datasets. MATERIAL AND METHODS The GSE87466, GSE75214, and GSE48958 MINiML formatted family files were downloaded from the GEO database. DEGs were identified from the 3 datasets, and volcano maps and heat maps were drawn after R language standardization and analysis, respectively. Venn diagram software was used to identify common DEGs. PPI analysis of common DEGs was performed using the Search Tool for the Retrieval of Interacting Genes. Gene modules and hub genes were visualized in the PPI network using Cytoscape. Enrichment analysis was performed for all common DEGs, module genes, and hub genes. RESULTS A total of 90 DEGs were selected, which included 3 functional modules and 1 hub gene module. CXCL8 module genes were mainly enriched in cytokine-mediated signaling pathways and interleukin (IL)-10 signaling. CCL20 module genes were mainly enriched in the IL-17 signaling pathway and cellular response to IL-1. Hub gene modules mainly involved IL-10, IL-4, and IL-13 signaling pathways. CXCL8, CXCL1, and IL-1ß were the top 3 hub genes and were mainly involved in IL-10 signaling. CONCLUSIONS Bioinformatics analysis using 3 GEO datasets identified CXCL8, CXCL1, and IL-1ß, which are involved in IL-10 signaling, as the top 3 hub genes in ulcerative colitis. The findings from this study remain to be validated, but they may contribute to the further understanding of the pathogenesis of ulcerative colitis.", "claims": [{"id": "claim-method", "statement": "We used |logFC| >1.5 and P<0.05 as standards to identify DEGs through the “limma” R software package.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33462173", "locator": "sections[4] \"Data processing and screening of DEGs\" paragraph 2", "quote": "We used |logFC| >1.5 and P<0.05 as standards to identify DEGs through the “limma” R software package."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The GSE87466, GSE75214, and GSE48958 datasets contained 21, 11, and 8 normal tissue samples and 87, 97, and 13 UC colon tissue samples, respectively.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33462173", "locator": "sections[3] \"Dataset information\" paragraph 2", "quote": "The GSE87466, GSE75214, and GSE48958 datasets contained 21, 11, and 8 normal tissue samples and 87, 97, and 13 UC colon tissue samples, respectively."}], "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:33462173"], "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:GSE48958"], "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": {"log2fc_threshold": "oftware package, using |logFC| > 1"}, "inputs": ["data:geo:GSE48958"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33462173", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.12659/MSM.927917", "sha256": "sha256:bcbf11cb8adcbe80ad85cde9694a35fde522a9809ed7ed2f7eb3bb8766adb1b3", "bytes": 30407, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.12659/MSM.927917", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7824989", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE48958", "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=GSE48958", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE48958", "version": null, "note": "The GSE87466, GSE75214, and GSE48958 datasets contained 21, 11, and 8 normal tissue samples and 87, 97, and 13 UC colon tissue 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growth factor activity"], ["IL1B", "GO: 0000165 MAPK cascade;GO: 0000187 activation of MAPK activity;GO: 0001660 fever generation;GO: 0001934 positive regulation of protein phosphorylation;GO: 0002711 positive regulation of T cell mediated immunity;GO: 0006915 apoptotic process;GO: 0006954 inflammatory response;GO: 0006955 immune response;GO: 0007165 signal transduction;GO: 0007267 cell-cell signaling", "GO: 0005576 extracellular region;GO: 0005615 extracellular space;GO: 0005737 cytoplasm;GO: 0005764 lysosome;GO: 0005776 autophagosome; GO: 0005829 cytosol;GO: 0030141 secretory granule;GO: 0031410 cytoplasmic vesicle;GO: 0031982 vesicle", "GO: 0005125 cytokine activity;GO: 0005149 interleukin-1 receptor binding;GO: 0005178 integrin binding;GO: 0005515 protein binding;GO: 0019904 protein domain specific binding"]], "row_count": 4, "column_count": 4, "numeric_cells": 9, "header_rows": 1, "locator": "section[12]/table-wrap[1]#t1-medscimonit-27-e927917"}}, {"id": 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