Multi-omics approaches to disease

被引:1494
作者
Hasin, Yehudit [1 ,3 ]
Seldin, Marcus [1 ]
Lusis, Aldons [1 ,2 ,3 ]
机构
[1] Univ Calif Los Angeles, Dept Med, 10833 Le Conte Ave,A2-237 CHS, Los Angeles, CA 90095 USA
[2] Immunol & Mol Genet, Dept Microbiol, 10833 Le Conte Ave,A2-237 CHS, Los Angeles, CA 90095 USA
[3] Univ Calif Los Angeles, Dept Human Genet, 10833 Le Conte Ave,A2-237 CHS, Los Angeles, CA 90095 USA
关键词
GENOME-WIDE ASSOCIATION; LONG NONCODING RNA; ENU MOUSE MUTAGENESIS; GENE-EXPRESSION; PROTEOMIC ANALYSIS; MASS-SPECTROMETRY; CIRCULAR RNAS; DIFFERENTIAL EXPRESSION; MICROBIOTA COMPOSITION; TRANSCRIPTOME ANALYSIS;
D O I
10.1186/s13059-017-1215-1
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
High-throughput technologies have revolutionized medical research. The advent of genotyping arrays enabled large-scale genome-wide association studies and methods for examining global transcript levels, which gave rise to the field of "integrative genetics". Other omics technologies, such as proteomics and metabolomics, are now often incorporated into the everyday methodology of biological researchers. In this review, we provide an overview of such omics technologies and focus on methods for their integration across multiple omics layers. As compared to studies of a single omics type, multi-omics offers the opportunity to understand the flow of information that underlies disease.
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页数:15
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共 179 条
[1]   Screening for increased plasma urea levels in a large-scale ENU mouse mutagenesis project reveals kidney disease models [J].
Aigner, Bernhard ;
Rathkolb, Birgit ;
Herbach, Nadja ;
Kemter, Elisabeth ;
Schessl, Christina ;
Klaften, Matthias ;
Klempt, Martina ;
de Angelis, Martin Hrabe ;
Wanke, Rudiger ;
Wolf, Eckhard .
AMERICAN JOURNAL OF PHYSIOLOGY-RENAL PHYSIOLOGY, 2007, 292 (05) :F1560-F1567
[2]   De Novo Reconstruction of Adipose Tissue Transcriptomes Reveals Long Non-coding RNA Regulators of Brown Adipocyte Development [J].
Alvarez-Dominguez, Juan R. ;
Bai, Zhiqiang ;
Xu, Dan ;
Yuan, Bingbing ;
Lo, Kinyui Alice ;
Yoon, Myeong Jin ;
Lim, Yen Ching ;
Knoll, Marko ;
Slavov, Nikolai ;
Chen, Shuai ;
Chen, Peng ;
Lodish, Harvey F. ;
Sun, Lei .
CELL METABOLISM, 2015, 21 (05) :764-776
[3]   βlinc1 encodes a long noncoding RNA that regulates islet β-cell formation and function [J].
Arnes, Luis ;
Akerman, Ildem ;
Balderes, Dina A. ;
Ferrer, Jorge ;
Sussel, Lori .
GENES & DEVELOPMENT, 2016, 30 (05) :502-507
[4]   Systems biology asks new questions about sex differences [J].
Arnold, Arthur P. ;
van Nas, Atila ;
Lusis, Aldons J. .
TRENDS IN ENDOCRINOLOGY AND METABOLISM, 2009, 20 (10) :471-476
[5]   Using genetic markers to orient the edges in quantitative trait networks: The NEO software [J].
Aten, Jason E. ;
Fuller, Tova F. ;
Lusis, Aldons J. ;
Horvath, Steve .
BMC SYSTEMS BIOLOGY, 2008, 2
[6]   Scale-free networks [J].
Barabási, AL ;
Bonabeau, E .
SCIENTIFIC AMERICAN, 2003, 288 (05) :60-69
[7]   The role of diet and exercise in the transgenerational epigenetic landscape of T2DM [J].
Barres, Romain ;
Zierath, Juleen R. .
NATURE REVIEWS ENDOCRINOLOGY, 2016, 12 (08) :441-451
[8]   Circular RNAs: analysis, expression and potential functions [J].
Barrett, Steven P. ;
Salzman, Julia .
DEVELOPMENT, 2016, 143 (11) :1838-1847
[9]   Impact of regulatory variation from RNA to protein [J].
Battle, Alexis ;
Khan, Zia ;
Wang, Sidney H. ;
Mitrano, Amy ;
Ford, Michael J. ;
Pritchard, Jonathan K. ;
Gilad, Yoav .
SCIENCE, 2015, 347 (6222) :664-667
[10]   Aberrant patterns of DNA methylation, chromatin formation and gene expression in cancer [J].
Baylin, SB ;
Esteller, M ;
Rountree, MR ;
Bachman, KE ;
Schuebel, K ;
Herman, JG .
HUMAN MOLECULAR GENETICS, 2001, 10 (07) :687-692