Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2018 Apr 29;10(4):701–746. doi: 10.18632/aging.101424

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

2018 Swindell et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PMC Copyright notice

CR response comparison (28 strain-tissue combinations). (A) FC heatmap with hierarchical clustering. The heatmap shows CR responses among 6564 protein-coding genes with detectable expression in all strains and all 4 tissues. Genes were filtered to exclude those weakly altered by CR. Genes were clustered using the average linkage and Euclidean distance. (B) CR meta-analysis gene signature (Plank et al. 2012, Mol Biosyst 8:1339-1349). (C) CR meta-analysis gene signature (Swindell 2009, BMC Genomics 10:585). In (B) and (C), average FC is plotted for CR-increased genes (horizontal axis) and CR-decreased genes (vertical axis) identified from meta-analyses of microarray studies of CR response in rodents. Signatures are calculated from (B) 37 CR-increased and 37 CR-decreased genes or (C) 40 CR-increased and 40 CR-decreased genes. (D) Chernoff faces. A set of 15 principal component (PC) scores was extracted from the matrix of FC estimates for all protein-coding genes and 28 strain-tissue combinations. The Chernoff face features each correspond to one of the 15 PC scores such that more similar faces indicate more similar CR expression responses.