Identification of common and divergent gene expression signatures in patients with venous and arterial thrombosis using data from public repositories

Our results represent the first comparison of venous and arterial thrombosis at the transcriptomic level.Our main result was the demonstration that immunothrombosis pathways are important to the pathophysiology of these conditions, also at the transcriptomic level.A specific signature for venous and...

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Bibliographic Details
Published in:PloS one 2020-08, Vol.15 (8), p.e0235501
Main Authors: Hounkpe, Bidossessi Wilfried, Benatti, Rafaela de Oliveira, Carvalho, Benilton de Sá, De Paula, Erich Vinicius
Format: Article
Language:English
Subjects:
Algorithms
Atherosclerosis
Bioinformatics
Biology and Life Sciences
Blood
Cardiovascular diseases
Cell activation
Cerebral infarction
Classifiers
Complement activation
Coronary Thrombosis - genetics
Datasets
Datasets as Topic
Development and progression
Disease
Epidemiology
Gene expression
Genes
Genetic aspects
Genetic Heterogeneity
Health aspects
Heart attacks
Heart diseases
Hemostasis
Hemostatics
Heterogeneity
Humans
Identification
Identification and classification
Immune response
Interleukin 1
Ischemia
Learning algorithms
Libraries
Machine Learning
Medicine and Health Sciences
Meta-analysis
Morbidity
Myocardial infarction
Ontology
Pathogenesis
Pathways
Patients
Physical Sciences
Repositories
Research and Analysis Methods
Risk factors
Stroke
Support vector machines
Thromboembolism
Thrombosis
Transcriptome
Venous thrombosis
Venous Thrombosis - genetics
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Description
Summary:Our results represent the first comparison of venous and arterial thrombosis at the transcriptomic level.Our main result was the demonstration that immunothrombosis pathways are important to the pathophysiology of these conditions, also at the transcriptomic level.A specific signature for venous and arterial thrombosis was described, and validated in independent cohorts.The limited number of public repositories with gene expression data from patients with venous thromboembolism limits the representation of these patients in our analyses.In order to gather a meaningful number of studies with gene expression data we had to include patients in different time-points since the index thrombotic event, which might have increased the heterogeneity of our population.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0235501