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Gene co-expression networks are associated with obesity-related traits in kidney transplant recipients.

Rosario B Jaime-Lara | Abhrarup Roy | Yupeng Wang | Ansley Stanfill | Ann K Cashion | Paule V Joseph
BMC medical genomics | 2020

Obesity is common among kidney transplant recipients; However biological mediators of obesity are not well understood in this population. Because subcutaneous adipose tissue can be easily obtained during kidney transplant surgery, it provides a unique avenue for studying the mechanisms of obesity for this group. Although differential gene expression patterns were previously profiled for kidney transplant patients, gene co-expression patterns can shed light on gene modules not yet explored on the coordinative behaviors of gene transcription in biological and disease processes from a systems perspective.

Pubmed ID: 32151267

Research resources used in this publication

None found

Antibodies used in this publication

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Associated grants

  • Agency: Intramural NIH HHS, United States
    Id: ZIA NR000035
  • Agency: Intramural NIH HHS, United States
    Id: ZIA NR000030
  • Agency: NINR NIH HHS, United States
    Id: R01 NR009270

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This is a list of tools and resources that we have found mentioned in this publication.


Weighted Gene Co-expression Network Analysis (tool)

RRID:SCR_003302

Software R package for weighted correlation network analysis. WGCNA is also available as point-and-click application. Unfortunately this application is not maintained anymore. It is known to have compatibility problems with R-2.8.x and newer, and the methods it implements are not all state of the art.

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NCBI Epigenomics (tool)

RRID:SCR_006151

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19, 2022.

View all literature mentions