ArticlePloS one2014
JAK2-centered interactome hotspot identified by an integrative network algorithm in acute Stanford type A aortic dissection.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 36 citations in OpenAlex.
- Spatial transcriptomic analysis reveals spatial features in human Stanford type A aortic dissection.iScience · 2026Article
- Ketone Ester Attenuates Thoracic Aortic Aneurysm and Dissection by Suppressing Ferroptosis.Cells · 2026Article
- Bioinformatics Analysis of Ferroptosis-Related Driver Genes in Stanford Type A Aortic Dissection.Current issues in molecular biology · 2026Article
- Cold exposure increases aortic dissection risk through extracellular cold inducible RNA binding protein and toll like receptor 4 signaling.Scientific reports · 2026Article
- Comprehensive analysis of the lncRNA-miRNA-mRNA ceRNA network in aortic dissection.Archives of medical science : AMS · 2026Article
- Integration of single-cell and bulk RNA sequencing data identified an aortic dissection-enriched ANGPTL4+ macrophage subpopulation.Frontiers in immunology · 2026Article
- Interplay between acute Type A aortic dissection and pan-cancer: Clinical evidence, bioinformatics, and experimental validation.iScience · 2025Article
- Identification of novel lipid metabolism-related biomarkers of aortic dissection by integrating single-cell RNA sequencing analysis and machine learning algorithms.Frontiers in immunology · 2025Article
- Key gene screening and diagnostic model establishment for acute type a aortic dissection.Frontiers in genetics · 2025Article
- Preoperative clinical characteristics and risk assessment in Sun's modified classification of Stanford type A acute aortic dissection.BMC cardiovascular disorders · 2024Article
- Article
- Comprehensive Analysis of Key Endoplasmic Reticulum Stress-Related Genes and Immune Infiltrates in Stanford Type A Aortic Dissection.Anatolian journal of cardiology · 2024Article
- Integrative analysis reveals chemokines CCL2 and CXCL5 mediated shear stress-induced aortic dissection formation.Heliyon · 2024Article
- IdentifyingFrontiers in cardiovascular medicine · 2024Article
- Transcriptomic Analysis of Tight Junction Proteins Demonstrates the Aberrant Expression and Function of Zona Occludens 2 (ZO-2) Protein in Stanford Type A Aortic Dissection.Journal of personalized medicine · 2023Article
- Identification and Analysis of Hub Genes and Immune Cells Associated with the Formation of Acute Aortic Dissection.Computational and mathematical methods in medicine · 2023Article
- Identification and validation of differentially expressed chromatin regulators for diagnosis of aortic dissection using integrated bioinformatics analysis and machine-learning algorithms.Frontiers in genetics · 2022Article
- Applying multi-omics techniques to the discovery of biomarkers for acute aortic dissection.Frontiers in cardiovascular medicine · 2022Review
- Patterns of Immune Infiltration and the Key Immune-Related Genes in Acute Type A Aortic Dissection in Bioinformatics Analyses.International journal of general medicine · 2021Article
- Identification of Molecular Regulatory Features and Markers for Acute Type A Aortic Dissection.Computational and mathematical methods in medicine · 2021Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The precise mechanisms underlying dissections, especially those without connective tissue diseases or congenital vascular diseases, are incompletely understood. This study attempted to identify both the expression profile of the dissected ascending aorta and the interactome hotspots associated with the disease, using microarray technology and gene regulatory network analysis. There were 2,737 genes differentially expressed between patients with acute Stanford type A aortic dissection and controls. Eight interactome hotspots significantly associated with aortic dissection were identified by an integrative network algorithm. In particular, we identified a JAK2-centered expression module, which was validated in an independent gene expression microarray data set, and which was characterized by over-expressed cytokines and receptors in acute aortic dissection cases, indicating that JAK2 may play a key role in the inflammatory process, which potentially contributes to the occurrence of acute aortic dissection. Overall, the analytical strategy used in this study offered the possibility to identify functional relevant network modules and subsequently facilitated the biological interpretation in the complicated disease.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.