Literature DB >> 23540702

Integration of metabolic and gene regulatory networks modulates the C. elegans dietary response.

Emma Watson1,2, Lesley T MacNeil1,2, H Efsun Arda1,2, Lihua Julie Zhu3, Albertha J M Walhout1,2.   

Abstract

Expression profiles are tailored according to dietary input. However, the networks that control dietary responses remain largely uncharacterized. Here, we combine forward and reverse genetic screens to delineate a network of 184 genes that affect the C. elegans dietary response to Comamonas DA1877 bacteria. We find that perturbation of a mitochondrial network composed of enzymes involved in amino acid metabolism and the TCA cycle affects the dietary response. In humans, mutations in the corresponding genes cause inborn diseases of amino acid metabolism, most of which are treated by dietary intervention. We identify several transcription factors (TFs) that mediate the changes in gene expression upon metabolic network perturbations. Altogether, our findings unveil a transcriptional response system that is poised to sense dietary cues and metabolic imbalances, illustrating extensive communication between metabolic networks in the mitochondria and gene regulatory networks in the nucleus.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23540702      PMCID: PMC3817025          DOI: 10.1016/j.cell.2013.02.050

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  34 in total

1.  Rapid gene mapping in Caenorhabditis elegans using a high density polymorphism map.

Authors:  S R Wicks; R T Yeh; W R Gish; R H Waterston; R H Plasterk
Journal:  Nat Genet       Date:  2001-06       Impact factor: 38.330

Review 2.  mTOR signaling in growth control and disease.

Authors:  Mathieu Laplante; David M Sabatini
Journal:  Cell       Date:  2012-04-13       Impact factor: 41.582

3.  Analysis of multiple ethyl methanesulfonate-mutagenized Caenorhabditis elegans strains by whole-genome sequencing.

Authors:  Sumeet Sarin; Vincent Bertrand; Henry Bigelow; Alexander Boyanov; Maria Doitsidou; Richard J Poole; Surinder Narula; Oliver Hobert
Journal:  Genetics       Date:  2010-05-03       Impact factor: 4.562

Review 4.  Nuclear hormone receptors in nematodes: evolution and function.

Authors:  Stefan Taubert; Jordan D Ward; Keith R Yamamoto
Journal:  Mol Cell Endocrinol       Date:  2010-05-10       Impact factor: 4.102

5.  A conserved SREBP-1/phosphatidylcholine feedback circuit regulates lipogenesis in metazoans.

Authors:  Amy K Walker; René L Jacobs; Jennifer L Watts; Veerle Rottiers; Karen Jiang; Deirdre M Finnegan; Toshi Shioda; Malene Hansen; Fajun Yang; Lorissa J Niebergall; Dennis E Vance; Monika Tzoneva; Anne C Hart; Anders M Näär
Journal:  Cell       Date:  2011-10-27       Impact factor: 41.582

6.  Diet-induced developmental acceleration independent of TOR and insulin in C. elegans.

Authors:  Lesley T MacNeil; Emma Watson; H Efsun Arda; Lihua Julie Zhu; Albertha J M Walhout
Journal:  Cell       Date:  2013-03-28       Impact factor: 41.582

7.  Ingestion of bacterially expressed dsRNAs can produce specific and potent genetic interference in Caenorhabditis elegans.

Authors:  L Timmons; D L Court; A Fire
Journal:  Gene       Date:  2001-01-24       Impact factor: 3.688

8.  GETPrime: a gene- or transcript-specific primer database for quantitative real-time PCR.

Authors:  Carine Gubelmann; Alexandre Gattiker; Andreas Massouras; Korneel Hens; Fabrice David; Frederik Decouttere; Jacques Rougemont; Bart Deplancke
Journal:  Database (Oxford)       Date:  2011-09-14       Impact factor: 3.451

9.  Yeast one-hybrid assays for gene-centered human gene regulatory network mapping.

Authors:  John S Reece-Hoyes; A Rasim Barutcu; Rachel Patton McCord; Jun Seop Jeong; Lizhi Jiang; Andrew MacWilliams; Xinping Yang; Kourosh Salehi-Ashtiani; David E Hill; Seth Blackshaw; Heng Zhu; Job Dekker; Albertha J M Walhout
Journal:  Nat Methods       Date:  2011-10-30       Impact factor: 28.547

10.  Enhanced yeast one-hybrid assays for high-throughput gene-centered regulatory network mapping.

Authors:  John S Reece-Hoyes; Alos Diallo; Bryan Lajoie; Amanda Kent; Shaleen Shrestha; Sreenath Kadreppa; Colin Pesyna; Job Dekker; Chad L Myers; Albertha J M Walhout
Journal:  Nat Methods       Date:  2011-10-30       Impact factor: 28.547

View more
  63 in total

Review 1.  Metabolic network modeling with model organisms.

Authors:  L Safak Yilmaz; Albertha Jm Walhout
Journal:  Curr Opin Chem Biol       Date:  2017-01-12       Impact factor: 8.822

Review 2.  C. elegans and its bacterial diet as a model for systems-level understanding of host-microbiota interactions.

Authors:  Jingyan Zhang; Amy D Holdorf; Albertha Jm Walhout
Journal:  Curr Opin Biotechnol       Date:  2017-02-09       Impact factor: 9.740

3.  Gene-diet interactions and aging in C. elegans.

Authors:  Chia An Yen; Sean P Curran
Journal:  Exp Gerontol       Date:  2016-02-26       Impact factor: 4.032

4.  Genetic adaptation to diet preserves longevity.

Authors:  Albertha J M Walhout
Journal:  Cell Metab       Date:  2014-02-04       Impact factor: 27.287

5.  A Delicate Balance between Bacterial Iron and Reactive Oxygen Species Supports Optimal C. elegans Development.

Authors:  Jingyan Zhang; Xuhang Li; Maria Olmedo; Amy D Holdorf; Ye Shang; Marta Artal-Sanz; L Safak Yilmaz; Albertha J M Walhout
Journal:  Cell Host Microbe       Date:  2019-08-20       Impact factor: 21.023

Review 6.  Biochemistry, function, and deficiency of vitamin B12 in Caenorhabditis elegans.

Authors:  Tomohiro Bito; Fumio Watanabe
Journal:  Exp Biol Med (Maywood)       Date:  2016-08-02

7.  Interspecies systems biology uncovers metabolites affecting C. elegans gene expression and life history traits.

Authors:  Emma Watson; Lesley T MacNeil; Ashlyn D Ritter; L Safak Yilmaz; Adam P Rosebrock; Amy A Caudy; Albertha J M Walhout
Journal:  Cell       Date:  2014-02-13       Impact factor: 41.582

8.  Bacterial Metabolism Affects the C. elegans Response to Cancer Chemotherapeutics.

Authors:  Aurian P García-González; Ashlyn D Ritter; Shaleen Shrestha; Erik C Andersen; L Safak Yilmaz; Albertha J M Walhout
Journal:  Cell       Date:  2017-04-20       Impact factor: 41.582

9.  Using networks to measure similarity between genes: association index selection.

Authors:  Juan I Fuxman Bass; Alos Diallo; Justin Nelson; Juan M Soto; Chad L Myers; Albertha J M Walhout
Journal:  Nat Methods       Date:  2013-12       Impact factor: 28.547

10.  s-Adenosylmethionine Levels Govern Innate Immunity through Distinct Methylation-Dependent Pathways.

Authors:  Wei Ding; Lorissa J Smulan; Nicole S Hou; Stefan Taubert; Jennifer L Watts; Amy K Walker
Journal:  Cell Metab       Date:  2015-08-27       Impact factor: 27.287

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.