Multilayered genetic and omics dissection of mitochondrial activity in a mouse reference population.

Multilayered genetic and omics dissection of mitochondrial activity in a mouse reference population.
复制标题

DOI:
10.1016/j.cell.2014.07.039
复制
发表时间:
2014-09-11
期刊:
影响因子:
64.5
通讯作者:
Aebersold R
Aebersold R
中科院分区:
生物学1区
文献类型:
--
作者:
Wu Y;Williams EG;Dubuis S;Mottis A;Jovaisaite V;Houten SM;Argmann CA;Faridi P;Wolski W;Kutalik Z;Zamboni N;Auwerx J;Aebersold R

文献摘要

参考文献

被引文献

相似文献

基因型和环境影响复杂表型的方式是生物学的基本问题之一。在这项研究中,我们量化了转录组-代谢组的一个子集,并使用靶向蛋白质组学,量化了两种不同饮食的40株BXD小鼠遗传参考群体的肝脏蛋白质组的一个子集。我们发现了几十个转录本、蛋白质和代谢物QTL,其中几个与代谢表型相关。最突出的是,Dhtkd 1被确定为2-氨基己二酸的主要调节因子,解释了小鼠和人类空腹血糖和糖尿病状态的差异。这些整合的分子谱也允许进一步表征复杂的途径,特别是线粒体未折叠蛋白反应(UPRmt)。UPRmt在转录和蛋白水平上表现出显著的变异反应,这些反应在C. elegans线虫,mice小鼠,and humans人.总的来说,这些实施例证明了集成多层组学方法表征复杂代谢表型的价值。
The manner by which genotype and environment affect complex phenotypes is one of the fundamental questions in biology. In this study, we quantified the transcriptome—a subset of the metabolome—and, using targeted proteomics, quantified a subset of the liver proteome from 40 strains of the BXD mouse genetic reference population on two diverse diets. We discovered dozens of transcript, protein, and metabolite QTLs, several of which linked to metabolic phenotypes. Most prominently, Dhtkd1 was identified as a primary regulator of 2-aminoadipate, explaining variance in fasted glucose and diabetes status in both mice and humans. These integrated molecular profiles also allowed further characterization of complex pathways, particularly the mitochondrial unfolded protein response (UPRmt). UPRmt shows strikingly variant responses at the transcript and protein level that are remarkably conserved among C. elegans, mice, and humans. Overall, these examples demonstrate the value of an integrated multilayered omics approach to characterize complex metabolic phenotypes.
COLAUS研究:一项基于人群的研究,旨在研究心血管危险因素和代谢综合征的流行病学和遗传决定因素。
DOI: 10.1186/1471-2261-8-6
发表时间: 2008-03-17
影响因子: 2.1
作者:
Firmann, Mathieu;Mayor, Vladimir;Vidal, Pedro Marques;Bochud, Murielle;Pecoud, Alain;Hayoz, Daniel;Paccaud, Fred;Preisig, Martin;Song, Kijoung S.;Yuan, Xin;Danoff, Theodore M.;Stirnadel, Heide A.;Waterworth, Dawn;Mooser, Vincent;Waeber, Gerard;Vollenweider, Peter
通讯作者: Vollenweider, Peter
DOI: 10.1126/science.1242379
发表时间: 2013-11-29
期刊: Science (New York, N.Y.)
影响因子: --
作者:
Khan Z;Ford MJ;Cusanovich DA;Mitrano A;Pritchard JK;Gilad Y
通讯作者: Gilad Y
DOI: 10.1371/journal.pgen.1001393
发表时间: 2011-06
期刊: PLoS genetics
影响因子: 4.5
作者:
Ghazalpour A;Bennett B;Petyuk VA;Orozco L;Hagopian R;Mungrue IN;Farber CR;Sinsheimer J;Kang HM;Furlotte N;Park CC;Wen PZ;Brewer H;Weitz K;Camp DG 2nd;Pan C;Yordanova R;Neuhaus I;Tilford C;Siemers N;Gargalovic P;Eskin E;Kirchgessner T;Smith DJ;Smith RD;Lusis AJ
通讯作者: Lusis AJ
DOI: 10.1534/genetics.112.143354
发表时间: 2013-02-01
期刊: GENETICS
影响因子: 3.3
作者:
Holdt, Lesca M.;von Delft, Annette;Teupser, Daniel
通讯作者: Teupser, Daniel
DOI: 10.1016/j.cell.2006.03.022
发表时间: 2006-04-07
期刊: CELL
影响因子: 64.5
作者:
Foster, LJ;de Hoog, CL;Mann, M
通讯作者: Mann, M