Literature DB >> 17376740

Approaches for systematic proteome exploration.

Ronny Falk1, Margareta Ramström, Stefan Ståhl, Sophia Hober.   

Abstract

With the completion of the human genome project (HUGO) during recent years, gene function, protein abundance and expression patterns in tissues and cell types have emerged as central areas for the scientific community. A mapped human proteome will extend the value of the genome sequence and large-scale efforts aiming at elucidating protein localization, abundance and function are invaluable for biomarker and drug discovery. This research area, termed proteomics, is more demanding than any genome sequencing effort and to perform this on a wide scale is a highly diverse task. Therefore, the proteomics field employs a range of methods to examine different aspects of proteomics including protein localization, protein-protein interactions, posttranslational modifications and alteration of protein composition (e.g. differential expression) in tissues and body fluids. Here, some of the most commonly used methods, including chromatographic separations together with mass spectrometry and a number of affinity proteomics concepts are discussed and exemplified.

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Year:  2007        PMID: 17376740     DOI: 10.1016/j.bioeng.2007.01.001

Source DB:  PubMed          Journal:  Biomol Eng        ISSN: 1389-0344


  7 in total

1.  Protein subcellular localization profiling of breast cancer cells by dissociable antibody microarray staining.

Authors:  Guanyuan Fu; X Cynthia Song; Xufen Yang; Tao Peng; Yingjian Wang; G Wayne Zhou
Journal:  Proteomics       Date:  2010-04       Impact factor: 3.984

2.  Proteomic analysis of CTGF-activated lung fibroblasts: identification of IQGAP1 as a key player in lung fibroblast migration.

Authors:  Galina S Bogatkevich; Anna Ludwicka-Bradley; C Beth Singleton; Jennifer R Bethard; Richard M Silver
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2008-08-01       Impact factor: 5.464

3.  PROlocalizer: integrated web service for protein subcellular localization prediction.

Authors:  Kirsti Laurila; Mauno Vihinen
Journal:  Amino Acids       Date:  2010-09-02       Impact factor: 3.520

4.  Skeletal muscle proteomics: current approaches, technical challenges and emerging techniques.

Authors:  Kay Ohlendieck
Journal:  Skelet Muscle       Date:  2011-02-01       Impact factor: 4.912

5.  Proteomic Profiling of Mitochondrial Enzymes during Skeletal Muscle Aging.

Authors:  Lisa Staunton; Kathleen O'Connell; Kay Ohlendieck
Journal:  J Aging Res       Date:  2011-03-07

6.  Prediction of disease-related mutations affecting protein localization.

Authors:  Kirsti Laurila; Mauno Vihinen
Journal:  BMC Genomics       Date:  2009-03-23       Impact factor: 3.969

7.  Prioritization of cancer marker candidates based on the immunohistochemistry staining images deposited in the human protein atlas.

Authors:  Su-Chien Chiang; Chia-Li Han; Kun-Hsing Yu; Yu-Ju Chen; Kun-Pin Wu
Journal:  PLoS One       Date:  2013-11-26       Impact factor: 3.240

  7 in total

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