Back to search

Article

The alteration of circulating exosomal mRNAs in acute myocardial infarction is associated with inflammation response mediated by neutrophils

2020-05-03

Abstract excerpt

<h4>Background: </h4> Although many cardiovascular disease studies have focused on the characteristics of microRNAs in circulating exosomes, the profile and the potential clinical diagnostic value of plasma exosomal long RNAs (exoLRs) in acute myocardial infarction (AMI) is still unknown.Methods In this study, exosomes isolation and RNA sequencing were applied to achieve the circulating exoLRs profile of 10 AMI pa...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
34f4fffa-1adf-5008-af9c-a33601956cf8
DOI
10.21203/rs.3.rs-25385/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
The alteration of circulating exosomal mRNAs in acute myocardial infarction is associated with inflammation response mediated by neutrophilsDOI 10.21203/rs.3.rs-25385/v1
Circulating exosomal long non‐coding RNAs in patients with acute myocardial infarctionSemantic proximity
Identification of Key Genes Involved in Acute Myocardial Infarction by Comparative Transcriptome AnalysisSemantic proximity
Identification of RNA Modification-Related Differentially Expressed Genes in Acute Myocardial Infarction: Unraveling Diagnostic Perspectives and Immunological MicroenvironmentSemantic proximity
Integrated RNA gene expression analysis identified potential immune-related biomarkers and RNA regulatory pathways of acute myocardial infarctionSemantic proximity
The biomarkers of key miRNAs and target genes associated with acute myocardial infarctionSemantic proximity
Integration of Machine Learning to Identify Diagnostic Genes in Leukocytes for Acute Myocardial Infarction PatientsSemantic proximity
Single-cell transcriptomics and machine learning reveal RNF144B and C5AR1 as immune-related biomarkers and therapeutic targets in myocardial infarctionSemantic proximity
Identification of Immune Activation-Related Biomarkers in Acute Myocardial Infarction (AMI) by Bioinformatic Analysis and Clinical ValidationSemantic proximity
Identification and validation of prognostic signature and immune infiltrate characteristics for acute myocardial infarction based on neutrophil extracellular trapsSemantic proximity
Identification of long non-coding RNAs biomarkers for early diagnosis of myocardial infarction from the dysregulated coding-non-coding co-expression networkSemantic proximity
Identification of Immune-Related Genes in Patients with Acute Myocardial Infarction Using Machine Learning MethodsSemantic proximity
Characterization of LncRNA expression profile and identification of novel LncRNA biomarkers to diagnose coronary artery disease.Semantic proximity
Select a neighboring publication to make it the new centre.