Skip to content

The goal is to understand how communication evolves with ageing in the transcriptional regulatory network in single-cells: using Tabula Muris Senis (single-cell RNA seq data)

sruthi-hub/Aging_information_theory_TMS

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

38 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Manuscript on BioRxiv:

The fidelity of genetic information transfer with aging segregates according to biological processes https://www.biorxiv.org/content/10.1101/2022.07.18.500243v1

Abstract:

Maintenance of cellular function requires highly coordinated communication between trillions of biomolecules. However, over time, communication deteriorates, thereby disrupting effective information flow and compromising cellular health. To quantify the age-related loss of molecular communication, we applied information theory to quantify communication efficiency between transcription factors (TF) and corresponding target genes (TGs). Using single cell RNA-seq data from the limb muscle of young, middle-aged, and aged mice, we found that the precision with which TFs regulate TGs diminished with age, but that information transfer was preferentially preserved in a subset of gene pairs associated with homeostasis—a phenomenon we termed “age-based canalization”. Collectively, these data suggest that aging may be accompanied by a reallocation of resources that favor messages crucial to maintenance of stability and survival.

Structure:

Figure 1: Useful information transmitted in transcriptional regulatory network declines with age as shown by decreasing mutual information

Figure 2: Loss of information with aging is driven by a decreased channel capacity

Figure 3: Certain gene pairs preserve useful information while others remain relatively constant.

Figure 4: Preserved genes are associated with homeostatic functions whereas compromised genes are associated with tissue adaptation.

Raw data and intermediate files:

Please check figshare to access the raw data.

https://doi.org/10.6084/m9.figshare.20379720

Email me for any questions at srs204@pitt.edu

About

The goal is to understand how communication evolves with ageing in the transcriptional regulatory network in single-cells: using Tabula Muris Senis (single-cell RNA seq data)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published