Modeling the Depth of Cellular Dormancy from RNA-Sequencing Data

Overview

Journal Methods Mol Biol

Specialty Molecular Biology

Date 2024 Jul 22

PMID 39037654

Authors

Michelle Yuchen Wei

Guang Yao

Affiliations

Soon will be listed here.

Abstract

High-throughput transcriptome RNA sequencing is a powerful tool for understanding dynamic biological processes. Here, we present a computational framework, implemented in an R package QDSWorkflow, to characterize heterogeneous cellular dormancy depth using RNA-sequencing data from bulk samples and single cells.

Citing Articles

Quiescence-Origin Senescence: A New Paradigm in Cellular Aging.

Yao G Biomedicines. 2024; 12(8).

PMID: 39200301 PMC: 11351160. DOI: 10.3390/biomedicines12081837.

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