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本文引用的文献

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The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog).新的NHGRI-EBI已发表全基因组关联研究目录(GWAS目录)。
Nucleic Acids Res. 2017 Jan 4;45(D1):D896-D901. doi: 10.1093/nar/gkw1133. Epub 2016 Nov 29.
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Exposing the exposures responsible for type 2 diabetes and obesity.揭示导致 2 型糖尿病和肥胖的暴露因素。
Science. 2016 Oct 7;354(6308):69-73. doi: 10.1126/science.aaf5094.
3
Mitochondrial protein functions elucidated by multi-omic mass spectrometry profiling.通过多组学质谱分析阐明线粒体蛋白质功能。
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Impaired Cardiolipin Biosynthesis Prevents Hepatic Steatosis and Diet-Induced Obesity.心磷脂生物合成受损可预防肝脂肪变性和饮食诱导的肥胖。
Diabetes. 2016 Nov;65(11):3289-3300. doi: 10.2337/db16-0114. Epub 2016 Aug 5.
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Lipidomics for studying metabolism.脂质组学在代谢研究中的应用。
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6
Systems proteomics of liver mitochondria function.肝脏线粒体功能的系统蛋白质组学
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7
The Hybrid Mouse Diversity Panel: a resource for systems genetics analyses of metabolic and cardiovascular traits.杂交小鼠多样性面板:用于代谢和心血管性状系统遗传学分析的资源。
J Lipid Res. 2016 Jun;57(6):925-42. doi: 10.1194/jlr.R066944. Epub 2016 Apr 19.
8
Joint mouse-human phenome-wide association to test gene function and disease risk.联合小鼠-人类全表型组关联研究以测试基因功能和疾病风险。
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9
Methylthioadenosine (MTA) Regulates Liver Cells Proteome and Methylproteome: Implications in Liver Biology and Disease.甲硫腺苷(MTA)调节肝细胞蛋白质组和甲基蛋白质组:对肝脏生物学和疾病的影响
Mol Cell Proteomics. 2016 May;15(5):1498-510. doi: 10.1074/mcp.M115.055772. Epub 2016 Jan 27.
10
Insights from Genome-Wide Association Analyses of Nonalcoholic Fatty Liver Disease.非酒精性脂肪性肝病全基因组关联分析的见解
Semin Liver Dis. 2015 Nov;35(4):375-91. doi: 10.1055/s-0035-1567870. Epub 2015 Dec 16.

系统分析揭示了肝脏脂质种类的生理作用和遗传调控因子。

Systems Analyses Reveal Physiological Roles and Genetic Regulators of Liver Lipid Species.

机构信息

Laboratory of Integrative and Systems Physiology, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.

Morgridge Institute for Research, Madison, WI 53715, USA; Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.

出版信息

Cell Syst. 2018 Jun 27;6(6):722-733.e6. doi: 10.1016/j.cels.2018.05.016. Epub 2018 Jun 13.

DOI:10.1016/j.cels.2018.05.016
PMID:29909277
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6054463/
Abstract

The genetics of individual lipid species and their relevance in disease is largely unresolved. We profiled a subset of storage, signaling, membrane, and mitochondrial liver lipids across 385 mice from 47 strains of the BXD mouse population fed chow or high-fat diet and integrated these data with complementary multi-omics datasets. We identified several lipid species and lipid clusters with specific phenotypic and molecular signatures and, in particular, cardiolipin species with signatures of healthy and fatty liver. Genetic analyses revealed quantitative trait loci for 68% of the lipids (lQTL). By multi-layered omics analyses, we show the reliability of lQTLs to uncover candidate genes that can regulate the levels of lipid species. Additionally, we identified lQTLs that mapped to genes associated with abnormal lipid metabolism in human GWASs. This work provides a foundation and resource for understanding the genetic regulation and physiological significance of lipid species.

摘要

个体脂质种类的遗传学及其在疾病中的相关性在很大程度上尚未得到解决。我们对来自 BXD 小鼠群体的 47 个品系的 385 只小鼠的储存、信号转导、膜和线粒体肝脏脂质进行了分析,这些小鼠分别用普通饲料或高脂肪饲料喂养,并将这些数据与互补的多组学数据集进行了整合。我们确定了几种具有特定表型和分子特征的脂质种类和脂质簇,特别是具有健康和脂肪肝特征的心磷脂种类。遗传分析显示,68%的脂质(lQTL)具有数量性状位点。通过多层次组学分析,我们展示了 lQTL 能够揭示可以调节脂质种类水平的候选基因的可靠性。此外,我们还鉴定了与人类 GWAS 中异常脂质代谢相关的基因定位的 lQTL。这项工作为理解脂质种类的遗传调控和生理意义提供了基础和资源。

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