Literature DB >> 21082402

Gel-based and gel-free proteomic technologies.

Peter Scherp1, Ginger Ku, Liana Coleman, Indu Kheterpal.   

Abstract

Proteomics refers to the analysis of expression, localization, functions, posttranslational modifications, and interactions of proteins expressed by a genome at a specific condition and at a specific time. Mass spectrometry (MS)-based proteomic methods have emerged as a key technology for unbiased systematic and high-throughput identification and quantification of complex protein mixtures. These methods have the potential to reveal unknown and novel changes in protein interactions and assemblies that regulate cellular and physiological processes. Both gel-based (one-dimensional [1D] gel electrophoresis, two-dimensional [2D] polyacrylamide gel electrophoresis, 2D difference in-gel electrophoresis [DIGE]) and gel-free (liquid chromatography [LC], capillary electrophoresis) approaches have been developed and utilized in a variety of combinations to separate proteins prior to mass spectrometric analysis. Detailed protocols for global proteomic analysis from adipose-derived stem cells (ASCs) using two central strategies, 2D-DIGE-MS and 2D-LC-MS, are presented here.

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Year:  2011        PMID: 21082402     DOI: 10.1007/978-1-61737-960-4_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  11 in total

1.  Diet-induced obesity suppresses expression of many proteins at the blood-brain barrier.

Authors:  Suidong Ouyang; Hung Hsuchou; Abba J Kastin; Yuping Wang; Chuanhui Yu; Weihong Pan
Journal:  J Cereb Blood Flow Metab       Date:  2013-09-25       Impact factor: 6.200

2.  Bioactives from Artemisia dracunculus L. enhance insulin sensitivity via modulation of skeletal muscle protein phosphorylation.

Authors:  Indu Kheterpal; Peter Scherp; Lauren Kelley; Zhong Wang; William Johnson; David Ribnicky; William T Cefalu
Journal:  Nutrition       Date:  2014-05-13       Impact factor: 4.008

3.  Proteomic analysis reveals cellular pathways regulating carbohydrate metabolism that are modulated in primary human skeletal muscle culture due to treatment with bioactives from Artemisia dracunculus L.

Authors:  Peter Scherp; Nagireddy Putluri; Gary J LeBlanc; Zhong Q Wang; Xian H Zhang; Yongmei Yu; David Ribnicky; William T Cefalu; Indu Kheterpal
Journal:  J Proteomics       Date:  2012-03-26       Impact factor: 4.044

4.  Metaproteomics Applied to Activated Sludge for Industrial Wastewater Treatment Revealed a Dominant Methylotrophic Metabolism of Hyphomicrobium zavarzinii.

Authors:  Carlo Salerno; Dirk Benndorf; Sabine Kluge; Luigi Leonardo Palese; Udo Reichl; Alfieri Pollice
Journal:  Microb Ecol       Date:  2016-04-18       Impact factor: 4.552

5.  Leveraging proteomics to understand plant-microbe interactions.

Authors:  Dhileepkumar Jayaraman; Kari L Forshey; Paul A Grimsrud; Jean-Michel Ané
Journal:  Front Plant Sci       Date:  2012-03-08       Impact factor: 5.753

Review 6.  Plant Microbe Interactions in Post Genomic Era: Perspectives and Applications.

Authors:  Jahangir Imam; Puneet K Singh; Pratyoosh Shukla
Journal:  Front Microbiol       Date:  2016-09-26       Impact factor: 5.640

7.  Proteomics and SSH Analyses of ALA-Promoted Fruit Coloration and Evidence for the Involvement of a MADS-Box Gene, MdMADS1.

Authors:  Xinxin Feng; Yuyan An; Jie Zheng; Miao Sun; Liangju Wang
Journal:  Front Plant Sci       Date:  2016-11-07       Impact factor: 5.753

8.  Comparison of Protein Gut Samples from Rhipicephalus spp. Using a Crude and an Innovative Preparation Method for Proteome Analysis.

Authors:  Thomas P Karbanowicz; Amanda Nouwens; Ala E Tabor; Manuel Rodriguez-Valle
Journal:  Vet Sci       Date:  2018-03-14

9.  Proteomics: a biotechnology tool for crop improvement.

Authors:  Moustafa Eldakak; Sanaa I M Milad; Ali I Nawar; Jai S Rohila
Journal:  Front Plant Sci       Date:  2013-02-28       Impact factor: 5.753

10.  "One-Pot" Sample Processing Method for Proteome-Wide Analysis of Microbial Cells and Spores.

Authors:  Bhagyashree Nandakishor Swarge; Winfried Roseboom; Linli Zheng; Wishwas R Abhyankar; Stanley Brul; Chris G de Koster; Leo J de Koning
Journal:  Proteomics Clin Appl       Date:  2018-04-16       Impact factor: 3.494

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