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pmid:37082197

Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases.

Ting Wu · Yifan Jin · Fangqi Chen · Xiuyun Xuan · Juanmei Cao · Yan Liang · Yuqing Wang · Jinshan Zhan · Mengjie Zhao · Changzheng Huang

Frontiers in genetics · 2023 doi:10.3389/fgene.2023.1121728

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complete

Experiment

partial

Data

partial

Analysis

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title
Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases.
doi
10.3389/fgene.2023.1121728
pmid
37082197
authors array · 10 items
[0]
Ting Wu
[1]
Yifan Jin
[2]
Fangqi Chen
[3]
Xiuyun Xuan
[4]
Juanmei Cao
[5]
Yan Liang
[6]
Yuqing Wang
[7]
Jinshan Zhan
[8]
Mengjie Zhao
[9]
Changzheng Huang
journal
Frontiers in genetics
year
2023
abstract
Background: Fibrotic skin diseases are characterized by excessive accumulation of the extracellular matrix (ECM) and activation of fibroblasts, leading to a global healthcare burden. However, effective treatments of fibrotic skin diseases remain limited, and their pathological mechanisms require further investigation. This study aims to investigate the common biomarkers and therapeutic targets in two major fibrotic skin diseases, namely, keloid and systemic sclerosis (SSc), by bioinformatics analysis. Methods: The keloid (GSE92566) and SSc (GSE95065) datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified, followed by functional enrichment analysis using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). We then constructed a protein-protein interaction (PPI) network for the identification of hub genes. We explored the possibility of further functional enrichment analysis of hub genes on the Metascape, GeneMANIA, and TissueNexus platforms. Transcription factor (TF)-hub gene and miRNA-hub gene networks were established using NetworkAnalyst. We fixed GSE90051 and GSE76855 as the external validation datasets. Student's t-test and receiver operating characteristic (ROC) curve were used for candidate hub gene validation. Hub gene expression was assessed in vitro by quantitative real-time PCR. Results: A total of 157 overlapping DEGs (ODEGs) were retrieved from the GSE92566 and GSE95065 datasets, and five hub genes (COL11A1, COL5A2, ASPN, COL10A1, and COMP) were identified and validated. Functional studies revealed that hub genes were predominantly enriched in bone/cartilage-related and collagen-related processes. FOXC1 and miR-335-5p were predicted to be master regulators at both transcriptional and post-transcriptional levels. Conclusion: COL11A1, COL5A2, ASPN, COL10A1, and COMP may help understand the pathological mechanism of the major fibrotic skin diseases; moreover, FOXC1 and miR-355-5p could build a regulatory network in keloid and SSc.
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The expression of the hub genes in keloid, SSc, and normal tissues was validated using Student’s t‐test in GraphPad Prism 8.0.1, and their specificity and sensitivity were further evaluated by the receiver operating characteristic curve analysis.
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sections[10] "Validation of the performance of hub genes" paragraph 2
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The expression of the hub genes in keloid, SSc, and normal tissues was validated using Student’s t‐test in GraphPad Prism 8.0.1, and their specificity and sensitivity were further evaluated by the receiver operating characteristic curve analysis.
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The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.
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A total of 157 overlapping DEGs (ODEGs) were retrieved from the GSE92566 and GSE95065 datasets, and five hub genes (COL11A1, COL5A2, ASPN, COL10A1, and COMP) were identified and validated.
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A total of 157 overlapping DEGs (ODEGs) were retrieved from the GSE92566 and GSE95065 datasets, and five hub genes (COL11A1, COL5A2, ASPN, COL10A1, and COMP) were identified and validated.
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A total of 157 overlapping DEGs (ODEGs) were retrieved from the GSE92566 and GSE95065 datasets, and five hub genes (COL11A1, COL5A2, ASPN, COL10A1, and COMP) were identified and validated.
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The expression of the hub genes in keloid, SSc, and normal tissues was validated using Student’s t‐test in GraphPad Prism 8.0.1, and their specificity and sensitivity were further evaluated by the receiver operating characteristic curve analysis.
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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
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false
required_operations array · 0 items
missing_operations array · 1 item
[0]
student_t
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: student_t_test.
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
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accessions array · 5 items
[0]
GSE92566
[1]
GSE95065
[2]
GSE90051
[3]
GSE76885
[4]
GSE76855
resolved_accessions array · 5 items
[0]
GSE92566
[1]
GSE95065
[2]
GSE90051
[3]
GSE76885
[4]
GSE76855
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.
basis
The paper names GSE92566, GSE95065, GSE90051, GSE76885, GSE76855 in Gene Expression Omnibus and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 2 items
[0]
source:pmid:37082197
[1]
data:geo:GSE76855
steps array · 0 items
must_build object · 5 fields
dsl_operations array · 1 item
[0] object · 3 fields
operation
student_t
priority
null
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE76855
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
2026-11-01T18:37:03Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
14315
completion_tokens
1965
cached_tokens
256
stages array · 1 item
[0] object · 4 fields
id
extraction
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complete
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MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
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review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
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absent
status
not_run
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null
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gaps array · 1 item
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provenance object · 7 fields
entities array · 3 items
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pmid:37082197
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paper
label
pmid:37082197
[1] object · 3 fields
id
source:pmid:37082197
type
manuscript
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PMID 37082197 full text
[2] object · 3 fields
id
data:geo:GSE76855
type
dataset
label
GEO GSE76855
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:37082197
type
paper
label
pmid:37082197
[1] object · 3 fields
id
source:pmid:37082197
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manuscript
label
PMID 37082197 full text
[2] object · 3 fields
id
data:geo:GSE76855
type
dataset
label
GEO GSE76855
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-37082197
type
extraction
used array · 1 item
[0]
source:pmid:37082197
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE76855
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accession_resolution
used array · 1 item
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data:geo:GSE76855
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
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software
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Corpus assay engine
[1] object · 3 fields
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agent:minimax-reader
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software
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MiniMax literature reader
source_run_id
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dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
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lineage object · 4 fields
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pmid:37082197
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sha256:efe2b84cd6a3daaa149fbb3183400c6d27a87ef22f9c74db486f58cce5588b19
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null
gaps array · 17 items
[0]
asset:data:geo:GSE76855 licence not read
[1]
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asset:data:geo:GSE76885 licence not read
[3]
asset:data:geo:GSE76885 not downloaded
[4]
asset:data:geo:GSE90051 licence not read
[5]
asset:data:geo:GSE90051 not downloaded
[6]
asset:data:geo:GSE92566 licence not read
[7]
asset:data:geo:GSE92566 not downloaded
[8]
asset:data:geo:GSE95065 licence not read
[9]
asset:data:geo:GSE95065 not downloaded
[10]
execution.not_run
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[12]
method.student_t
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[16]
step:run_analysis blocked on method:student_t
assays array · 2 items
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role
data_generation
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99e1195c7d6f
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assay_lexicon
99e1195c7d6f
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0.93
evidence array · 1 item
[0]
ession was assessed in vitro by quantitative real-time PCR. Results: A total of 157 overlapping DEGs (O
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paper_text_order:1451
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assay:1
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37082197", "kind": "science-record", "revision": 3, "content_hash": "sha256:24be4be88961b3df0dff663057729515d8a6550549aadf188379664e30818c15", "created_at": "2026-11-01T19:01:44Z", "updated_at": "2026-11-01T22:09:17Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases.", "doi": "10.3389/fgene.2023.1121728", "pmid": "37082197", "authors": ["Ting Wu", "Yifan Jin", "Fangqi Chen", "Xiuyun Xuan", "Juanmei Cao", "Yan Liang", "Yuqing Wang", "Jinshan Zhan", "Mengjie Zhao", "Changzheng Huang"], "journal": "Frontiers in genetics", "year": 2023, "abstract": "Background: Fibrotic skin diseases are characterized by excessive accumulation of the extracellular matrix (ECM) and activation of fibroblasts, leading to a global healthcare burden. However, effective treatments of fibrotic skin diseases remain limited, and their pathological mechanisms require further investigation. This study aims to investigate the common biomarkers and therapeutic targets in two major fibrotic skin diseases, namely, keloid and systemic sclerosis (SSc), by bioinformatics analysis. Methods: The keloid (GSE92566) and SSc (GSE95065) datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified, followed by functional enrichment analysis using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). We then constructed a protein-protein interaction (PPI) network for the identification of hub genes. We explored the possibility of further functional enrichment analysis of hub genes on the Metascape, GeneMANIA, and TissueNexus platforms. Transcription factor (TF)-hub gene and miRNA-hub gene networks were established using NetworkAnalyst. We fixed GSE90051 and GSE76855 as the external validation datasets. Student's t-test and receiver operating characteristic (ROC) curve were used for candidate hub gene validation. Hub gene expression was assessed in vitro by quantitative real-time PCR. Results: A total of 157 overlapping DEGs (ODEGs) were retrieved from the GSE92566 and GSE95065 datasets, and five hub genes (COL11A1, COL5A2, ASPN, COL10A1, and COMP) were identified and validated. Functional studies revealed that hub genes were predominantly enriched in bone/cartilage-related and collagen-related processes. FOXC1 and miR-335-5p were predicted to be master regulators at both transcriptional and post-transcriptional levels. Conclusion: COL11A1, COL5A2, ASPN, COL10A1, and COMP may help understand the pathological mechanism of the major fibrotic skin diseases; moreover, FOXC1 and miR-355-5p could build a regulatory network in keloid and SSc.", "claims": [{"id": "claim-method", "statement": "The expression of the hub genes in keloid, SSc, and normal tissues was validated using Student’s t‐test in GraphPad Prism 8.0.1, and their specificity and sensitivity were further evaluated by the receiver operating characteristic curve analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37082197", "locator": "sections[10] \"Validation of the performance of hub genes\" paragraph 2", "quote": "The expression of the hub genes in keloid, SSc, and normal tissues was validated using Student’s t‐test in GraphPad Prism 8.0.1, and their specificity and sensitivity were further evaluated by the receiver operating characteristic curve analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37082197", "locator": "sections[21] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A total of 157 overlapping DEGs (ODEGs) were retrieved from the GSE92566 and GSE95065 datasets, and five hub genes (COL11A1, COL5A2, ASPN, COL10A1, and COMP) were identified and validated.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37082197", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A total of 157 overlapping DEGs (ODEGs) were retrieved from the GSE92566 and GSE95065 datasets, and five hub genes (COL11A1, COL5A2, ASPN, COL10A1, and COMP) were identified and validated."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "A total of 157 overlapping DEGs (ODEGs) were retrieved from the GSE92566 and GSE95065 datasets, and five hub genes (COL11A1, COL5A2, ASPN, COL10A1, and COMP) were identified and validated.", "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:37082197"], "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:GSE76855"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:student_t", "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:GSE76855"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:student_t"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37082197", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fgene.2023.1121728", "sha256": "sha256:0fc7bc391b61e15691de9ba0fa52d982c320afee3cc3eb19a5a45277b00184d0", "bytes": 44846, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fgene.2023.1121728", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10111020", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE76855", "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=GSE76855", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE76855", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2039069", "GSM2039070", "GSM2039071", "GSM2039072", "GSM2039073", "GSM2039074", "GSM2039075", "GSM2039076", "GSM2039077", "GSM2039078", "GSM2039079", "GSM2039080"], "sample_count": 12, "group_sizes": null, "group_sizes_basis": null, "platform": "17586", "taxon": "Homo sapiens", "title": "Medullary Carcinoma of the colon", "resolution_checked_at": "2026-11-01T18:46:34Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE76885", "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=GSE76885", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE76885", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material; 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