Novel insights into post-myocardial infarction cardiac remodeling through algorithmic detection of cell-type composition shifts.

Novel insights into post-myocardial infarction cardiac remodeling through algorithmic detection of cell-type composition shifts.

Interpreting bulk RNA sequencing from heterogeneous tissues like the post-myocardial infarction (MI) heart is confounded by dynamic changes in cell-type composition. To address this, we developed a computational approach using single-nucleus RNA sequencing (snRNA-seq) references to estimate and corr...

Full description

Saved in:
Bibliographic Details
Main Authors: Brian Gural, Logan Kirkland, Abigail Hockett, Peyton Sandroni, Jiandong Zhang, Manuel Rosa-Garrido, Samantha K Swift, Douglas J Chapski, Michael A Flinn, Caitlin C O'Meara, Thomas M Vondriska, Michaela Patterson, Brian C Jensen, Christoph D Rau
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-07-01
Series:PLoS Genetics
Online Access:https://doi.org/10.1371/journal.pgen.1011807
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1371/journal.pgen.1011807

Similar Items