| Create Account | login

login

Publication

Selection-, age-, and exercise-dependence of skeletal muscle gene expression
patterns in a rat model of metabolic fitness.

Authors	Ren YY, Koch LG, Britton SL, Qi NR, Treutelaar MK, Burant CF, Li JZ
Submitted By	Submitted Externally on 4/30/2020
Status	Published
Journal	Physiological genomics
Year	2016
Date Published	11/1/2016
Volume : Pages	48 : 816 - 825
PubMed Reference	27637250
Abstract	Intrinsic aerobic exercise capacity can influence many complex traits including obesity and aging. To study this connection we established two rat lines by divergent selection of untrained aerobic capacity. After 32 generations the high capacity runners (HCR) and low capacity runners (LCR) differed in endurance running distance and body fat, blood glucose, other health indicators, and natural life span. To understand the interplay among genetic differences, chronological age, and acute exercise we performed microarray-based gene expression analyses in skeletal muscle with a 2×2×2 design to simultaneously compare HCR and LCR, old and young animals, and rest and exhaustion. Transcripts for mitochondrial function are expressed higher in HCRs than LCRs at both rest and exhaustion and for both age groups. Expression of cell adhesion and extracellular matrix genes tend to decrease with age. This and other age effects are more prominent in LCRs than HCRs, suggesting that HCRs have a slower aging process and this may be partly due to their better metabolic health. Strenuous exercise mainly affects transcription regulation and cellular response. The effects of any one factor often depend on the other two. For example, there are ~140 and ~110 line-exercise "interacting" genes for old and young animals, respectively. Many genes highlighted in our study are consistent with prior reports, but many others are novel. The gene- and pathway-level statistics for the main effects, either overall or stratified, and for all possible interactions, represent a rich reference dataset for understanding the interdependence among lines, aging, and exercise.

Back to Top

Store Credentials?

MMPC-Live web resource – Terms of Use

Warranty disclaimer and copyright notice

THE MMPC-Live MAKES NO REPRESENTATION ABOUT THE SUITABILITY OR ACCURACY OF THE SOFTWARE OR DATA FOR ANY PURPOSE, AND MAKES NO WARRANTIES, EITHER EXPRESS OR IMPLIED, INCLUDING MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE OR DATA WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS, OR OTHER RIGHTS. THE SOFTWARE AND DATA ARE PROVIDED "AS IS".

The Mouse Metabolic Phenotyping Centers (MMPC-Live) is an NIDDK funded consortium and adheres to the NIH Data Sharing Policy.

MMPC-Live clients make their data freely available whereby MMPC-Live users may freely build upon, enhance and reuse those data for any purpose without restriction. Scholarly citation norms must be followed for content reuse. Please acknowledge the MMPC-Live using the following text: 'The MMPC-Live data used in this manuscript was supported by the NIDDK National Mouse Metabolic Phenotyping Centers (MMPC-Live, RRID:SCR_008997, www.mmpc.org)'. To cite specific MMPC-Live centers, please use the appropriate RRID available from the MMPC-Live website (https://www.mmpc.org/shared/centers.aspx).

Please note that the acknowledgment text includes a Research Resource Identifier (RRID) for the MMPC-Live CU and Centers. Reproducibility is one of the corner stones of effective, open and transparent biomedical published research. However, too often, resources (e.g. model organisms, antibodies, and tools) are not reported with adequate detail to ensure others can replicate or expand upon the published results. The Research Resource Identification Initiative (#RII) seeks to change these limitations in reporting by the use of unique Research Resource Identifiers (RRIDs). This initiative is designed to encourage authors to provide identification of the types of resources used in their research by adding a globally unique accession number to the resources described in the their manuscripts. These identifiers, called RRIDs, will allow authors to cite the resources that they use in their manuscripts. RRIDs allow for easy tracking of all papers that have used the same resource making it easy to access how the same resources works in other scenarios.

It is expected that MMPC-Live users follow scholarly citation norms, giving credit to fellow scholars when accessing/using protocols and data, including data derived by MMPC-Live (such as summary data) and any plots, tables or screenshots depicting those data.

It is possible for invalid or incomplete results to be presented on the MMPC-Live web site due to software bugs, data problems, or artifacts of human error. Data sets are not necessarily static; we reserve the right to post corrections and updates as needed.

Prohibited use. Data contributors and data users may not use MMPC-Live in any unlawful manner, or in any manner that could impair MMPC-Live services, security or functionality. Automated usage (webcrawlers and similar) must observe each page's "meta robots" html tags and space requests by ≥ 2 seconds. We reserve the right to block any IP associated with what we consider to be excessive or abusive usage patterns, and/or to take any action we deem necessary.

MMPC-Live is a National Institutes of Health-sponsored resource that provides experimental testing services to scientists studying diabetes, obesity, diabetic complications, and other metabolic diseases in mice.

Menu

Home

Contact

About MMPC

Animal Husbandry

Tests Data

Search Data

Analysis

Clients

MMPC Centers

Newsletter

Interested in receiving MMPC News?

Mouse Phenotyping
@NationalMMPC

2017 National MMPC. All Rights Reserved.