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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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The differential inflammatory infiltration and gene expression in left and right atrium in patients with atrial fibrillation

Authors: Dai, Meng;

The differential inflammatory infiltration and gene expression in left and right atrium in patients with atrial fibrillation

Abstract

Background: The difference between left and right atrium in Atrial fibrillation (AF) is still lacking. In the present study, we aimed to identify differences in immune infiltration and differentially expressed genes (DEGs) between atrial tissue in patients with AF and sinus rhythm (SR), and to compare the differences between left and right atrial tissues in AF. Methods: The gene data of GSE79768, GSE115574, and GSE128188 from the Gene Expression Omnibus (GEO) database were retrieved. After merging all data and adjusting batch effect, DEGs were identified. Single-Sample Gene Set Enrichment Analysis (ssGESA), Functional enrichment analyses based on Gene Ontology (GO) resource, Kyoto Encyclopedia of Genes and Genomes (KEGG) resource, ESTIMATE algorithm were carried out to analyze the difference between AF and SR. Results: In total, 105 atrial samples from 3 studies were included in the analysis. Compared with SR, AF tissue had more CD8 T cells (P = 0.039) and Th2 cells (P = 0.016), and it had fewer Th17 cells (P = 0.008), Tgd (P < 0.001) and NK CD56dim cells (P = 0.047). The differences between the left and right atrium in AF and SR were analyzed. In AF atrium tissue, a total of 88 DGEs (26 up-regulated, 61 down-regulated) were obtained. The enrichment signaling pathways and biological functions of DGEs were predicted. Conclusions: The differing immune infiltrating cells and DEGs in left and right atrium indicate that there are different mechanisms for development remodeling and inflammatory environment of AF within the left and right atrium.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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