Literature DB >> 15642186

Differential proteomics: an overview of gel and non-gel based approaches.

Lucia Monteoliva1, Juan Pablo Albar.   

Abstract

The comprehensive analysis of gene expression in complex biological systems has demanded the development of new technologies to study the cell transcriptome and the cell proteome. Each approach has advantages and disadvantages from both the conceptual and the methodological viewpoints. Differential proteomics, the comparison of distinct proteomes (eg normal versus diseased cells, diseased versus treated cells etc) is of paramount importance. Several approaches can be used and these typically involve electrophoresis and/or chromatography combined with chemical or metabolic labelling and mass spectrometry. These approaches aim to identify molecular targets, namely proteins, involved in different physiopathological states. Incorporating this knowledge with knowledge from other technologies lays the foundations of active principles at the molecular level. Here, the various gel- and non-gel-based approaches that are used in a wide range of biological systems for the study of differentially expressed proteins will be reviewed.

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Year:  2004        PMID: 15642186     DOI: 10.1093/bfgp/3.3.220

Source DB:  PubMed          Journal:  Brief Funct Genomic Proteomic        ISSN: 1473-9550


  21 in total

Review 1.  Approaches for targeted proteomics and its potential applications in neuroscience.

Authors:  Sumit Sethi; Dipti Chourasia; Ishwar S Parhar
Journal:  J Biosci       Date:  2015-09       Impact factor: 1.826

2.  LC-MS Based Detection of Differential Protein Expression.

Authors:  Leepika Tuli; Habtom W Ressom
Journal:  J Proteomics Bioinform       Date:  2009-10-02

3.  Proteome Analysis Using Gel-LC-MS/MS.

Authors:  Aaron R Goldman; Lynn A Beer; Hsin-Yao Tang; Peter Hembach; Delaine Zayas-Bazan; David W Speicher
Journal:  Curr Protoc Protein Sci       Date:  2019-06-10

Review 4.  Contributions of advanced proteomics technologies to cancer diagnosis.

Authors:  Sergio Ciordia; Vivian de Los Ríos; Juan-Pablo Albar
Journal:  Clin Transl Oncol       Date:  2006-08       Impact factor: 3.405

5.  Feature detection techniques for preprocessing proteomic data.

Authors:  Kimberly F Sellers; Jeffrey C Miecznikowski
Journal:  Int J Biomed Imaging       Date:  2010-05-05

6.  Proteomic analysis of amniotic fluid to identify women with preterm labor and intra-amniotic inflammation/infection: the use of a novel computational method to analyze mass spectrometric profiling.

Authors:  Roberto Romero; Jimmy Espinoza; Wade T Rogers; Allan Moser; Jyh Kae Nien; Juan Pedro Kusanovic; Francesca Gotsch; Offer Erez; Ricardo Gomez; Sam Edwin; Sonia S Hassan
Journal:  J Matern Fetal Neonatal Med       Date:  2008-06

7.  In silico analysis of protein neoplastic biomarkers for cervix and uterine cancer.

Authors:  Mario A Rodríguez-Pérez; Alberto Medina-Aunon; Sergio M Encarnación-Guevara; Sofia Bernal-Silvia; Hugo Barrera-Saldaña; Juan Pablo Albar-Ramírez
Journal:  Clin Transl Oncol       Date:  2008-10       Impact factor: 3.405

8.  Saturation fluorescence labeling of proteins for proteomic analyses.

Authors:  Elizabeth Pretzer; John E Wiktorowicz
Journal:  Anal Biochem       Date:  2007-12-23       Impact factor: 3.365

Review 9.  Middle-down approach: a choice to sequence and characterize proteins/proteomes by mass spectrometry.

Authors:  P Boomathi Pandeswari; Varatharajan Sabareesh
Journal:  RSC Adv       Date:  2019-01-02       Impact factor: 4.036

10.  Vinyl sulfone silica: application of an open preactivated support to the study of transnitrosylation of plant proteins by S-nitrosoglutathione.

Authors:  Juan C Begara-Morales; F Javier López-Jaramillo; Beatriz Sánchez-Calvo; Alfonso Carreras; Mariano Ortega-Muñoz; Francisco Santoyo-González; Francisco J Corpas; Juan B Barroso
Journal:  BMC Plant Biol       Date:  2013-04-12       Impact factor: 4.215

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