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pmid:29620629

Identification of biomarkers of venous thromboembolism by bioinformatics analyses.

Guiming Wang · Wenbo Zhao · Yudong Yang · Gaochao Yang · Zhigang Wei · Jiansheng Guo

Medicine · 2018 doi:10.1097/MD.0000000000010152

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:29620629
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2026-11-01T15:40:33Z
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title
Identification of biomarkers of venous thromboembolism by bioinformatics analyses.
doi
10.1097/MD.0000000000010152
pmid
29620629
authors array · 6 items
[0]
Guiming Wang
[1]
Wenbo Zhao
[2]
Yudong Yang
[3]
Gaochao Yang
[4]
Zhigang Wei
[5]
Jiansheng Guo
journal
Medicine
year
2018
abstract
Venous thromboembolism (VTE) is a common vascular disease and a major cause of mortality. This study intended to explore the biomarkers associated with VTE by bioinformatics analyses.Based on Gene Expression Omnibus (GEO) database, the GSE19151 expression profile data were downloaded. The differentially expressed genes (DEGs) between single VTE (sVTE)/recurrent VTE (rVTE) and control were identified. Then, pathway enrichment analysis of DEGs were performed, followed by protein-protein interaction (PPI) network construction.Total 433 upregulated and 222 downregulated DEGs were obtained between sVTE and control samples. For rVTE versus control, 625 upregulated and 302 downregulated DEGs were identified. The overlap DEGs were mainly enriched in the pathways related to ribosome, cancer, and immune disease. The DEGs specific to rVTE were enriched in several pathways, such as nod-like receptor signaling pathway. In the PPI network, 2 clusters of VTE genes, including ribosomal protein family genes and NADH family-ubiquinol-cytochrome genes, were identified, such as ribosomal protein L9 (RPL9), RPL5, RPS20, RPL23, and tumor protein p53 (TP53).The nod-like receptor signaling pathway, ribosomal protein family genes, such as RPL9, RPL5, RPS20, and RPL23, and DEG of TP53 may have the potential to be used as targets for diagnosis and treatment of VTE.
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The P-values regarding the significance of differences were calculated using paired-samples t test.
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The P-values regarding the significance of differences were calculated using paired-samples t test.
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The GSE19151 gene expression profile data were downloaded from GEO, (http://www.ncbi.nlm.nih.gov/geo/), a public functional genomics database. The gene expression profile platform was Affymetrix Human Genome U133A 2.0 Array (Affymetrix Inc., Santa Clara, CA). A total of 63 healthy control, 32 sVTE, and 38 rVTE were available for analysis.
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sections[3] "Affymetrix microarray data" paragraph 2
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The GSE19151 gene expression profile data were downloaded from GEO, (http://www.ncbi.nlm.nih.gov/geo/), a public functional genomics database. The gene expression profile platform was Affymetrix Human Genome U133A 2.0 Array (Affymetrix Inc., Santa Clara, CA). A total of 63 healthy control, 32 sVTE, and 38 rVTE were available for analysis.
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Whole Blood Gene Expression Profiles Distinguish Patients with Single versus Recurrent Venous Thromboembolism
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The pathways enriched by overlapped up- and downregulated differentially expressed genes of sVTE and rVTE group.
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The GSE19151 gene expression profile data were downloaded from GEO, (http://www.ncbi.nlm.nih.gov/geo/), a public functional genomics database. The gene expression profile platform was Affymetrix Human Genome U133A 2.0 Array (Affymetrix Inc., Santa Clara, CA). A total of 63 healthy control, 32 sVTE, and 38 rVTE were available for analysis.
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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
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This study intended to explore the biomarkers associated with VTE by bioinformatics analyses.Based on Gene Expression Omnibus (GEO) database, the GSE19151 expression profile data were downloaded. The differentially expressed genes (DEGs) between single VTE (sVTE)/recurrent VTE (rVTE) and control were identified. Then, pathway enrichment analysis of DEGs were performed, followed by protein-protein interaction (PPI) network construction.Total 433 upregulated and 222 downregulated DEGs were obtained between sVTE and control samples. For rVTE versus control, 625 upregulated and 302 downregulated DEGs were identified. The overlap DEGs were mainly enriched in the pathways related to ribosome, cancer, and immune disease. The DEGs specific to rVTE were enriched in several pathways, such as nod-like receptor signaling pathway. In the PPI network, 2 clusters of VTE genes, including ribosomal protein family genes and NADH family-ubiquinol-cytochrome genes, were identified, such as ribosomal protein L9 (RPL9), RPL5, RPS20, RPL23, and tumor protein p53 (TP53).The nod-like receptor signaling pathway, ribosomal protein family genes, such as RPL9, RPL5, RPS20, and RPL23, and DEG of TP53 may have the potential to be used as targets for diagnosis and treatment of VTE.", "claims": [{"id": "claim-method", "statement": "The P-values regarding the significance of differences were calculated using paired-samples t test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29620629", "locator": "sections[4] \"Data preprocessing and DEGs identification\" paragraph 3", "quote": "The P-values regarding the significance of differences were calculated using paired-samples t test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The GSE19151 gene expression profile data were downloaded from GEO, (http://www.ncbi.nlm.nih.gov/geo/), a public functional genomics database. 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A total of 63 healthy control, 32 sVTE, and 38 rVTE were available for analysis."}], "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:29620629"], "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:GSE19151"], "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:GSE19151"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:29620629", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1097/MD.0000000000010152", "sha256": "sha256:74507993116510edbc0c3ec8c38316af8a4cf26dc57b2c22fd55c4d52b4177a7", "bytes": 19909, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1097/MD.0000000000010152", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC5902267", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE19151", "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=GSE19151", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE19151", "version": null, "note": "The GSE19151 gene expression profile data were downloaded from GEO, (http://www.ncbi.nlm.nih.gov/geo/), a public functional genomics database. 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"caption": "The pathways enriched by overlapped up- and downregulated differentially expressed genes of sVTE and rVTE group.", "rows": [], "row_count": 0, "column_count": 0, "numeric_cells": 0, "header_rows": 0, "locator": "section[9]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:29620629:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:69628502a348743ab0ba081fc20950f22966967df831c673c646db9a8dbc9e8f", "bytes": 181, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[11]/table-wrap[1]#T3", "version": null, "note": "Degree top 5 genes in each class.", "structure": {"pmcid": "PMC5902267", "section_index": 6, "section_title": "PPI network construction", "row_count": 0, "column_count": 0}, "table": {"label": "Table 3", "caption": "Degree top 5 genes in each class.", "rows": [], "row_count": 0, "column_count": 0, "numeric_cells": 0, "header_rows": 0, 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE19151"], "resolved_accessions": ["GSE19151"], "statements": ["The GSE19151 gene expression profile data were downloaded from GEO, (http://www.ncbi.nlm.nih.gov/geo/), a public functional genomics database. The gene expression profile platform was Affymetrix Human Genome U133A 2.0 Array (Affymetrix Inc., Santa Clara, CA). A total of 63 healthy control, 32 sVTE, and 38 rVTE were available for analysis."], "basis": "The paper names GSE19151 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. 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