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pmid:33144895

Identification of Differential Intestinal Mucosa Transcriptomic Biomarkers for Ulcerative Colitis by Bioinformatics Analysis.

Fang Cheng · Qiang Li · Jinglin Wang · Fang Zeng · Kaiping Wang · Yu Zhang

Disease markers · 2020 doi:10.1155/2020/8876565

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complete

Experiment

complete

Data

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Analysis

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title
Identification of Differential Intestinal Mucosa Transcriptomic Biomarkers for Ulcerative Colitis by Bioinformatics Analysis.
doi
10.1155/2020/8876565
pmid
33144895
authors array · 6 items
[0]
Fang Cheng
[1]
Qiang Li
[2]
Jinglin Wang
[3]
Fang Zeng
[4]
Kaiping Wang
[5]
Yu Zhang
journal
Disease markers
year
2020
abstract
BACKGROUND: Ulcerative colitis (UC) is a complicated disease caused by the interaction between genetic and environmental factors that affect mucosal homeostasis and triggers inappropriate immune response. The purpose of the study was to identify significant biomarkers with potential therapeutic targets and the underlying mechanisms. METHODS: The gene expression profiles of GSE48958, GSE73661, and GSE59071 are from the GEO database. Differentially expressed genes (DEGs) were screened by the GEO2R tool. Next, the Database for Annotation, Visualization and Integrated Discovery (DAVID) was applied to analyze gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. Then, protein-protein interaction (PPI) was visualized by Cytoscape with Search Tool for the Retrieval of Interacting Genes (STRING). RESULTS: There were a total of 128 common DEGs genes, including 86 upregulated genes enriched in extracellular space, regulation of inflammatory response, chemokine-mediated signaling pathway, response to lipopolysaccharide, and cell proliferation, while 42 downregulated genes enriched in the integral component of the membrane, the integral component of the plasma membrane, apical plasma membrane, symporter activity, and chloride channel activity. The KEGG pathway analysis results demonstrated that DEGs were particularly enriched in cytokine-cytokine receptor interaction, TNF signaling pathway, chemokine signaling pathway, pertussis, and rheumatoid arthritis. 18 central modules of the PPI networks were selected with Cytotype MCODE. Furthermore, 18 genes were found to significantly enrich in the extracellular space, inflammatory response, chemokine-mediated signaling pathway, TNF signaling pathway, regulation of cell proliferation, and immune response via reanalysis of DAVID. CONCLUSION: The study identified DEGs, key target genes, functional pathways, and pathway analysis of UC, which may provide potential molecular targets and diagnostic biomarkers for UC.
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GEO2R was used for data preprocessing and applied to screen DEGs between the following groups: UC vs. control group.
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GEO2R was used for data preprocessing and applied to screen DEGs between the following groups: UC vs. control group.
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The data used are available in https://www.ncbi.nlm.nih.gov/geo/.
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Mucosal gene expression profiling in (un)inflamed colon of patients with ulcerative colitis (UC)
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Mucosal gene expression profiling in patients with inflammatory bowel disease
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The effect of vedolizumab (anti-α4β7-integrin) therapy on colonic mucosal gene expression in patients with ulcerative colitis (UC)
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86 upregulated commonly differentially expressed genes (DEGs) and 42 downregulated genes in the UC compared to normal tissues.
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86 upregulated commonly differentially expressed genes (DEGs) and 42 downregulated genes in the UC compared to normal tissues.
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Gene ontology analysis of 18 central hub genes in UC.
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3.4. Module Analysis of the PPI Network
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Gene ontology analysis of 18 central hub genes in UC.
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3.40E-09
[4]
CCL20, PTGS2, CXCL2, CXCL8, NOS2, CXCL11, CXCL10
[5]
5.389683
[3] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO:0042127~regulation of cell proliferation
[2]
7
[3]
1.41E-08
[4]
PTGS2, CXCL2, CXCL8, NOS2, CXCL11, CXCL10
[5]
4.772917
[4] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO:0006955~immune response
[2]
7
[3]
1.42E-07
[4]
CXCL2, IL1B, CXCL8, CXCL11, IL1A, CXCL10
[5]
3.770405
[5] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO:0006935~chemotaxis
[2]
5
[3]
3.20E-07
[4]
CCL20, CXCR1, CXCL11, CXCL10
[5]
3.415649
[6] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO:0032496~response to lipopolysaccharide
[2]
5
[3]
2.71E-06
[4]
CXCL2, CXCL8, CXCL11, CXCL10
[5]
2.488617
[7] array · 6 items
[0]
GOTERM_BP_DIRECT
[1]
GO:0060326~cell chemotaxis
[2]
4
[3]
2.42E-05
[4]
CCL20, CXCL2, CXCL10, ICAM1,
[5]
1.537263
[8] array · 6 items
[0]
GOTERM_CC_DIRECT
[1]
GO:0005615~extracellular space
[2]
13
[3]
1.26E-11
[4]
CCL20, MMP9, IL1RN, CXCL2, IL1B, CXCL8,CXCL11,SELE,IL1A, CXCL10, TIMP1
[5]
7.981942
[9] array · 6 items
[0]
GOTERM_MF_DIRECT
[1]
GO:0008009~chemokine activity
[2]
6
[3]
7.11E-10
[4]
CCL20, CXCL2, CXCL8, CXCL11, CXCL10
[5]
6.189676
[10] array · 6 items
[0]
GOTERM_MF_DIRECT
[1]
GO:0045236~CXCR chemokine receptor binding
[2]
4
[3]
2.98E-07
[4]
CXCL2, CXCL8, CXCL10
[5]
3.567109
locator
section[12]/table-wrap[1]#tab2
gaps array · 6 items
[0]
asset:data:geo:GSE48958 not downloaded
[1]
asset:data:geo:GSE48958 licence not read
[2]
asset:data:geo:GSE59071 not downloaded
[3]
asset:data:geo:GSE59071 licence not read
[4]
asset:data:geo:GSE73661 not downloaded
[5]
asset:data:geo:GSE73661 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
0.8
band
high
quote
GO enrichment
[2] object · 10 fields
id
method-3
family
null
specific
null
label
GEO2R differential expression 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
GEO2R was used for data preprocessing and applied to screen DEGs between the following groups: UC vs. control group.
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 · 3 items
[0]
GSE48958
[1]
GSE73661
[2]
GSE59071
resolved_accessions array · 3 items
[0]
GSE48958
[1]
GSE73661
[2]
GSE59071
statements array · 1 item
[0]
The data used are available in https://www.ncbi.nlm.nih.gov/geo/.
basis
The paper names GSE48958, GSE73661, GSE59071 in NCBI-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 · 4 items
[0]
source:pmid:33144895
[1]
data:geo:GSE48958
[2]
asset:table:pmid:33144895:1
[3]
asset:table:pmid:33144895:2
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:GSE48958
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
2026-10-31T18:23:50Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
29772
completion_tokens
1418
cached_tokens
520
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:33144895
type
paper
label
pmid:33144895
[1] object · 3 fields
id
source:pmid:33144895
type
manuscript
label
PMID 33144895 full text
[2] object · 3 fields
id
data:geo:GSE48958
type
dataset
label
GEO GSE48958
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:33144895
type
paper
label
pmid:33144895
[1] object · 3 fields
id
source:pmid:33144895
type
manuscript
label
PMID 33144895 full text
[2] object · 3 fields
id
data:geo:GSE48958
type
dataset
label
GEO GSE48958
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-33144895
type
extraction
used array · 1 item
[0]
source:pmid:33144895
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE48958
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE48958
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:33144895
parent_hash
sha256:6e69601237fa81eebfc653c53a52a49b3b1698edeb6efa983f7800ee8fb2d746
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE48958 licence not read
[1]
asset:data:geo:GSE48958 not downloaded
[2]
asset:data:geo:GSE59071 licence not read
[3]
asset:data:geo:GSE59071 not downloaded
[4]
asset:data:geo:GSE73661 licence not read
[5]
asset:data:geo:GSE73661 not downloaded
[6]
execution.not_run
[7]
method.reader_named_unmapped
[8]
review.human_critique
[9]
review.independent_reader
[10]
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:33144895", "kind": "science-record", "revision": 7, "content_hash": "sha256:c76170c1bf318052560d9f18fad1942e8354fe7d7d037a072c1ab5346ec38678", "created_at": "2026-11-01T15:41:14Z", "updated_at": "2026-11-01T22:02:27Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Differential Intestinal Mucosa Transcriptomic Biomarkers for Ulcerative Colitis by Bioinformatics Analysis.", "doi": "10.1155/2020/8876565", "pmid": "33144895", "authors": ["Fang Cheng", "Qiang Li", "Jinglin Wang", "Fang Zeng", "Kaiping Wang", "Yu Zhang"], "journal": "Disease markers", "year": 2020, "abstract": "BACKGROUND: Ulcerative colitis (UC) is a complicated disease caused by the interaction between genetic and environmental factors that affect mucosal homeostasis and triggers inappropriate immune response. The purpose of the study was to identify significant biomarkers with potential therapeutic targets and the underlying mechanisms.\nMETHODS: The gene expression profiles of GSE48958, GSE73661, and GSE59071 are from the GEO database. Differentially expressed genes (DEGs) were screened by the GEO2R tool. Next, the Database for Annotation, Visualization and Integrated Discovery (DAVID) was applied to analyze gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. Then, protein-protein interaction (PPI) was visualized by Cytoscape with Search Tool for the Retrieval of Interacting Genes (STRING).\nRESULTS: There were a total of 128 common DEGs genes, including 86 upregulated genes enriched in extracellular space, regulation of inflammatory response, chemokine-mediated signaling pathway, response to lipopolysaccharide, and cell proliferation, while 42 downregulated genes enriched in the integral component of the membrane, the integral component of the plasma membrane, apical plasma membrane, symporter activity, and chloride channel activity. The KEGG pathway analysis results demonstrated that DEGs were particularly enriched in cytokine-cytokine receptor interaction, TNF signaling pathway, chemokine signaling pathway, pertussis, and rheumatoid arthritis. 18 central modules of the PPI networks were selected with Cytotype MCODE. Furthermore, 18 genes were found to significantly enrich in the extracellular space, inflammatory response, chemokine-mediated signaling pathway, TNF signaling pathway, regulation of cell proliferation, and immune response via reanalysis of DAVID.\nCONCLUSION: The study identified DEGs, key target genes, functional pathways, and pathway analysis of UC, which may provide potential molecular targets and diagnostic biomarkers for UC.", "claims": [{"id": "claim-method", "statement": "GEO2R was used for data preprocessing and applied to screen DEGs between the following groups: UC vs. control group.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33144895", "locator": "sections[4] \"2.2. Screening of DEGs\" paragraph 2", "quote": "GEO2R was used for data preprocessing and applied to screen DEGs between the following groups: UC vs. control group."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used are available in https://www.ncbi.nlm.nih.gov/geo/.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33144895", "locator": "sections[17] \"Data Availability\" paragraph 2", "quote": "The data used are available in https://www.ncbi.nlm.nih.gov/geo/."}], "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:33144895"], "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": {}, "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:33144895", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2020/8876565", "sha256": "sha256:44054f2f6a84f52de6370cbba533b57af53018a1c4fc1d5b7e245eac45c882d0", "bytes": 37686, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2020/8876565", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7596466", "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 data used are available in https://www.ncbi.nlm.nih.gov/geo/.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data used are available in https://www.ncbi.nlm.nih.gov/geo/.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1187602", "GSM1187603", "GSM1187604", "GSM1187605", "GSM1187606", "GSM1187607", "GSM1187608", "GSM1187609", "GSM1187610", "GSM1187611", "GSM1187612", "GSM1187613", "GSM1187614", "GSM1187615", "GSM1187616", "GSM1187617", "GSM1187618", "GSM1187619", "GSM1187620", "GSM1187621", "GSM1187622"], "sample_count": 21, "group_sizes": null, "group_sizes_basis": null, "platform": "6244", "taxon": "Homo sapiens", "title": "Mucosal gene expression profiling in (un)inflamed colon of patients with ulcerative colitis (UC)", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE59071", "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=GSE59071", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE59071", "version": null, "note": "The data used are available in https://www.ncbi.nlm.nih.gov/geo/.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data used are available in https://www.ncbi.nlm.nih.gov/geo/.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1426071", "GSM1426072", "GSM1426073", "GSM1426074", "GSM1426075", "GSM1426076", "GSM1426077", "GSM1426078", "GSM1426079", "GSM1426080", "GSM1426081", "GSM1426082", "GSM1426083", "GSM1426084", "GSM1426085", "GSM1426086", "GSM1426087", "GSM1426088", "GSM1426089", "GSM1426090", "GSM1426091", "GSM1426092", "GSM1426093", "GSM1426094", "GSM1426095", "GSM1426096", "GSM1426097", "GSM1426098", "GSM1426099", "GSM1426100", "GSM1426101", "GSM1426102", 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"GSM1426174", "GSM1426175", "GSM1426176", "GSM1426177", "GSM1426178", "GSM1426179", "GSM1426180", "GSM1426181", "GSM1426182", "GSM1426183", "GSM1426184", "GSM1426185", "GSM1426186"], "sample_count": 116, "group_sizes": null, "group_sizes_basis": null, "platform": "6244", "taxon": "Homo sapiens", "title": "Mucosal gene expression profiling in patients with inflammatory bowel disease", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE73661", "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=GSE73661", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE73661", "version": null, "note": "The data used are available in https://www.ncbi.nlm.nih.gov/geo/.", 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