Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Conformational changes underlying electromechanical transduction in prestin resemble a transport transition in pendrin.

bioRxiv : the preprint server for biology·2026

Same author

Acquired genetic and cell-state changes in IDH-mutant glioma progression.

Nature·2026

Same author

Racial and Socioeconomic Disparities in Blood Pressure Control Before and After Intracerebral Hemorrhage.

medRxiv : the preprint server for health sciences·2026

Same author

Towards precision medicine for brain arteriovenous malformations.

The Journal of clinical investigation·2026

Same author

Possible Diagnostic Error in Cervical Artery Dissection: Analysis of STOP-CAD Study.

Journal of the American Heart Association·2026

Same author

Multiomics Profiling Supports Cathepsin B as a Protective Factor in Cerebral Small Vessel Disease.

Research square·2026

Same journal

Stable, Progressive, and Acute Valve Syndrome in Severe Aortic Stenosis: Insights from the CURRENT AS Registry-2.

Journal of the American Heart Association·2026

Same journal

<i>LPA</i> Kringle IV Type-2 Genetic Variants Are Associated With Apolipoprotein (a) Size, Hypertension, and Nonfasting Glucose Levels.

Journal of the American Heart Association·2026

Same journal

Hemorrhagic Transformation Mediates Stress Hyperglycemia Effect on Functional Outcome in Minor Ischemic Stroke.

Journal of the American Heart Association·2026

Same journal

Mental Disorders After Cardiac Implantable Electronic Device Implantation in Young Individuals.

Journal of the American Heart Association·2026

Same journal

Hypertensive Disorders of Pregnancy Associated With Cerebral Small Vessel Disease Decades Later.

Journal of the American Heart Association·2026

Same journal

Neighborhood-Level Racial and Ethnic Residential Segregation and Incidence of Atrial Fibrillation: The Multi-Ethnic Study of Atherosclerosis.

Journal of the American Heart Association·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 12, 2026

Isolation of Endothelial Cells from the Lumen of Mouse Carotid Arteries for Single-Cell Multi-Omics Experiments

Isolation of Endothelial Cells from the Lumen of Mouse Carotid Arteries for Single-Cell Multi-Omics Experiments

Published on: October 4, 2021

Characterizing Stroke Clots Using Single-Cell Sequencing.

Daniela Renedo^1,2, Tanyeri Barak¹, Jonathan DeLong²

¹Department of Neurosurgery Yale School of Medicine New Haven CT USA.

Journal of the American Heart Association

|August 29, 2025

Summary

This summary is machine-generated.

This study analyzed immune cells in stroke clots, revealing distinct gene expression differences between atrial fibrillation and carotid atherosclerosis. These findings offer potential biomarkers for stroke cause and pathogenesis.

Keywords:

immune cell profiling single‐cell RNA sequencing stroke cause

More Related Videos

Author Spotlight: A Novel Method for Comprehensive Cell Component Analysis of Cerebral Blood Clots

Author Spotlight: A Novel Method for Comprehensive Cell Component Analysis of Cerebral Blood Clots

Published on: July 21, 2023

Author Spotlight: Vascular Tissue Dissociation and Exploring Single-Cell Subclusters for Targeted Therapy

Author Spotlight: Vascular Tissue Dissociation and Exploring Single-Cell Subclusters for Targeted Therapy

Published on: January 19, 2024

Related Experiment Videos

Last Updated: Apr 12, 2026

Isolation of Endothelial Cells from the Lumen of Mouse Carotid Arteries for Single-Cell Multi-Omics Experiments

Isolation of Endothelial Cells from the Lumen of Mouse Carotid Arteries for Single-Cell Multi-Omics Experiments

Published on: October 4, 2021

Author Spotlight: A Novel Method for Comprehensive Cell Component Analysis of Cerebral Blood Clots

Author Spotlight: A Novel Method for Comprehensive Cell Component Analysis of Cerebral Blood Clots

Published on: July 21, 2023

Author Spotlight: Vascular Tissue Dissociation and Exploring Single-Cell Subclusters for Targeted Therapy

Author Spotlight: Vascular Tissue Dissociation and Exploring Single-Cell Subclusters for Targeted Therapy

Published on: January 19, 2024

Area of Science:

Immunology
Genomics
Neurology
Cardiology

Background:

Ischemic stroke causes significant morbidity and mortality.
Understanding stroke clot composition can reveal disease mechanisms and identify stroke cause biomarkers.
Examining gene expression in stroke clot cells provides critical insights.

Purpose of the Study:

To analyze immune cell composition and gene expression in stroke clots.
To compare stroke clots from patients with atrial fibrillation versus carotid atherosclerosis.
To identify potential biomarkers for stroke cause and pathogenesis.

Main Methods:

Single-cell RNA sequencing of 10 large vessel occlusion stroke clot samples.
Comparison of immune cell profiles between atrial fibrillation and carotid atherosclerosis clots.
Multi-marker Analysis of Genomic Annotation and GWAS to assess genetic associations.

Main Results:

Distinct immune cell populations (monocytes, macrophages, neutrophils, T cells) were identified.
Significant gene expression differences were observed in mononuclear phagocytic cells between stroke subtypes.
Specific genes linked to atherosclerosis and stroke were identified; cytotoxic genes were upregulated in atrial fibrillation clots.

Conclusions:

The study elucidates the immune and transcriptomic landscape within stroke clots.
Identified differences provide potential biomarkers for stroke cause.
This research lays the groundwork for future investigations into stroke pathogenesis.