Gene regulatory network inference in long-lived C. elegans reveals modular properties that are predictive of novel aging genes

Gene regulatory network inference in long-lived C. elegans reveals modular properties that are predictive of novel aging genes

Summary: We design a “wisdom-of-the-crowds” GRN inference pipeline and couple it to complex network analysis to understand the organizational principles governing gene regulation in long-lived glp-1/Notch Caenorhabditis elegans. The GRN has three layers (input, core, and output) and is topologically...

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Bibliografske podrobnosti
Main Authors: Manusnan Suriyalaksh, Celia Raimondi, Abraham Mains, Anne Segonds-Pichon, Shahzabe Mukhtar, Sharlene Murdoch, Rebeca Aldunate, Felix Krueger, Roger Guimerà, Simon Andrews, Marta Sales-Pardo, Olivia Casanueva
Format: Article
Jezik:English
Izdano: Elsevier 2022-01-01
Serija:iScience
Teme:
Genetics
Genomics
Bioinformatics
Online dostop:http://www.sciencedirect.com/science/article/pii/S2589004221016333

Internet

http://www.sciencedirect.com/science/article/pii/S2589004221016333

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