Improved integration of single-cell transcriptome data demonstrates common and unique signatures of heart failure in mice and humans.

ABSTRACT:

Background

Cardiovascular research heavily relies on mouse (Mus musculus) models to study disease mechanisms and to test novel biomarkers and medications. Yet, applying these results to patients remains a major challenge and often results in noneffective drugs. Therefore, it is an open challenge of translational science to develop models with high similarities and predictive value. This requires a comparison of disease models in mice with diseased tissue derived from humans.

Results

To compare the transcriptional signatures at single-cell resolution, we implemented an integration pipeline called OrthoIntegrate, which uniquely assigns orthologs and therewith merges single-cell RNA sequencing (scRNA-seq) RNA of different species. The pipeline has been designed to be as easy to

SUBMITTER: Jurado MR 

PROVIDER: S-EPMC10993718 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature