Literature DB >> 16772433

Proteomics and its role in nutrition research.

Junjun Wang1, Defa Li, Lawrence J Dangott, Guoyao Wu.   

Abstract

There are approximately 100,000 proteins in humans with various physiological functions. The complement of proteins in the organism as well as their interactions is defined as the proteome. Its analysis (proteomics) by highly specific, sensitive, and accurate MS has been made possible with matrix-assisted laser desorption ionization or electrospray ionization of proteins and large peptides. Currently, the most commonly used proteomics technologies involve either specific digestion of proteins (the bottom-up approach using 2-dimensional polyacrylamide gel electrophoresis and multidimensional protein identification technology) or direct analysis of intact proteins after their chromatographic separation (the top-down approach and surface-enhanced laser desorption ionization). Proteomics holds great promise for discoveries in nutrition research, including profiles and characteristics of dietary and body proteins; digestion, absorption, and metabolism of nutrients; functions of nutrients and other dietary factors in growth, reproduction, and health; biomarkers of the nutritional status and disease; and individualized requirements of nutrients. The proteome analysis is expected to play an important role in solving major nutrition-associated problems in humans and animals, such as obesity, diabetes, cardiovascular disease, cancer, aging, and intrauterine fetal retardation.

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Year:  2006        PMID: 16772433     DOI: 10.1093/jn/136.7.1759

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  22 in total

1.  Nutrient restriction of glucose or serum results in similar proteomic expression changes in 3D colon cancer cell cultures.

Authors:  Monica M Schroll; Xin Liu; Sarah K Herzog; Susan B Skube; Amanda B Hummon
Journal:  Nutr Res       Date:  2016-08-14       Impact factor: 3.315

2.  Top-down proteomics on a chromatographic time scale using linear ion trap fourier transform hybrid mass spectrometers.

Authors:  Bryan A Parks; Lihua Jiang; Paul M Thomas; Craig D Wenger; Michael J Roth; Michael T Boyne; Patricia V Burke; Kurt E Kwast; Neil L Kelleher
Journal:  Anal Chem       Date:  2007-10-05       Impact factor: 6.986

3.  iTRAQ-based quantitative proteomic analysis of longissimus muscle from growing pigs with dietary supplementation of non-starch polysaccharide enzymes.

Authors:  Ji-ze Zhang; Yang Gao; Qing-ping Lu; Ren-na Sa; Hong-fu Zhang
Journal:  J Zhejiang Univ Sci B       Date:  2015-06       Impact factor: 3.066

4.  Amino acids modulates the intestinal proteome associated with immune and stress response in weaning pig.

Authors:  Man Ren; Chuang Liu; Xiangfang Zeng; Longyao Yue; Xiangbing Mao; Shiyan Qiao; Junjun Wang
Journal:  Mol Biol Rep       Date:  2014-02-09       Impact factor: 2.316

5.  Genotype-phenotype associations: modulation by diet and obesity.

Authors:  Jose M Ordovas
Journal:  Obesity (Silver Spring)       Date:  2008-12       Impact factor: 5.002

Review 6.  Quantifying diet for nutrigenomic studies.

Authors:  Katherine L Tucker; Caren E Smith; Chao-Qiang Lai; Jose M Ordovas
Journal:  Annu Rev Nutr       Date:  2013-04-29       Impact factor: 11.848

7.  Proteomic profiling of the rat hypothalamus.

Authors:  Amanda P Pedroso; Regina L H Watanabe; Kelse T Albuquerque; Mônica M Telles; Maria C C Andrade; Juliana D Perez; Maísa M Sakata; Mariana L Lima; Debora Estadella; Cláudia M O Nascimento; Lila M Oyama; José C Rosa; Dulce E Casarini; Eliane B Ribeiro
Journal:  Proteome Sci       Date:  2012-04-20       Impact factor: 2.480

Review 8.  Employing proteomics to understand the effects of nutritional intervention in cancer treatment.

Authors:  Monica M Schroll; Amanda B Hummon
Journal:  Anal Bioanal Chem       Date:  2018-07-04       Impact factor: 4.478

9.  High Concentrations of Atmospheric Ammonia Induce Alterations in the Hepatic Proteome of Broilers (Gallus gallus): An iTRAQ-Based Quantitative Proteomic Analysis.

Authors:  Jize Zhang; Cong Li; Xiangfang Tang; Qingping Lu; Renna Sa; Hongfu Zhang
Journal:  PLoS One       Date:  2015-04-22       Impact factor: 3.240

Review 10.  Molecular approaches in obesity studies.

Authors:  Mona Zamanian-Azodi; Reza Vafaee; Taghi Azodi; Roghiyeh Omidi; Samira Gilanchi; Farid Azizi-Jalilian; Reza Khodarahmi
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2013
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