Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Comprehensive Integration of Single-Cell Transcriptional Profiling Reveals the Heterogeneities of Non-cardiomyocytes in Healthy and Ischemic Hearts

6 Dec 2020

Abstract excerpt

Advances in single-cell RNA sequencing (scRNA-seq) technology have recently shed light on the molecular mechanisms of the spatial and temporal changes of thousands of cells simultaneously under homeostatic and ischemic conditions. The aim of this study is to investigate whether it is possible to integrate multiple similar scRNA-seq datasets for a more comprehensive understanding of diseases. In this study, we...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer-related molecular mechanisms research
Share to Cardiac Fibrosis and Remodeling
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33365332
DOI: 10.3389/fcvm.2020.615161

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comprehensive Integration of Single-Cell Transcriptional Profiling Reveals the Heterogeneities of Non-cardiomyocytes in Healthy and Ischemic HeartsPMID 33365332Read ↗

Deciphering Cell-Type-Specific Gene Expression Signatures of Cardiac Diseases Through Reconstruction of Bulk TranscriptomesSemantic proximity Read ↗

Cells and gene expression programs in the adult human heartSemantic proximity Read ↗

Macrophage and fibroblast trajectory inference and crosstalk analysis during myocardial infarction using integrated single-cell transcriptomic datasetsSemantic proximity Read ↗

Integrative Single-Cell Analysis of Cardiomyopathy Identifies Differences in Cell Stemness and Transcriptional Regulatory Networks among Fibroblast SubpopulationsSemantic proximity Read ↗

Single-cell expression profiling reveals dynamic flux of cardiac stromal, vascular and immune cells in health and injurySemantic proximity Read ↗

Single-cell transcriptome sequencing of macrophages in common cardiovascular diseasesSemantic proximity Read ↗

Single–cell transcriptional and epigenetic mapping reveals cellular and molecular mechanisms driving non-ischemic cardiac fibrosisSemantic proximity Read ↗

Spatial multi-omic map of human myocardial infarctionSemantic proximity Read ↗

Beyond cardiomyocytes: Cellular diversity in the heart's response to exerciseSemantic proximity Read ↗

Progress of Single-Cell RNA Sequencing Technology in Myocardial Infarction ResearchSemantic proximity Read ↗

Single-cell dual-omics reveals the transcriptomic and epigenomic diversity of cardiac non-myocytesSemantic proximity Read ↗

Single cell study of cellular diversity and mutual communication in chronic heart failure and drug repositioningSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.