Literature DB >> 12768603

Subcellular proteomics.

Mathias Dreger1.   

Abstract

The step from the analysis of the genome to the analysis of the proteome is not just a matter of numerical complexity in terms of variants of gene products that can arise from a single gene. A significant further level of complexity is introduced by the supramolecular organization of gene products because of protein-protein interactions or targeting of proteins to specific subcellular structures. There is currently no single proteome analysis strategy that can sufficiently address all levels of the organization of the proteome. To approach an appropriate analytical complement for the interrogation of the proteome at all of the levels at which it is organized, there emerges the need for a whole arsenal of proteomics strategies. The proteome analysis at the level of subcellular structures (that can be enriched by subcellular fractionation) represents an analytical strategy that combines classic biochemical fractionation methods and tools for the comprehensive identification of proteins. Among the key potentials of this strategy is the capability to screen not only for previously unknown gene products but also to assign them, along with other known, but poorly characterized gene products, to particular subcellular structures. Furthermore, the analysis at the subcellular level is a prerequisite for the detection of important regulatory events such as protein translocation in comparative studies. This review is meant to give an overview on recent key studies in the field of proteome analysis at the level of subcellular structures, and to highlight potentials and requirements. Copyright 2003 Wiley Periodicals, Inc., Mass Spec Rev 22:27-56, 2003; Published online in Wiley InterScience (www.interscience.wiley.com)

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Year:  2003        PMID: 12768603     DOI: 10.1002/mas.10047

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  26 in total

1.  Hydrophobic protein in colorectal cancer in relation to tumor stages and grades.

Authors:  Lay-Chin Yeoh; Chee-Keat Loh; Boon-Hui Gooi; Manjit Singh; Lay-Harn Gam
Journal:  World J Gastroenterol       Date:  2010-06-14       Impact factor: 5.742

2.  Extending ribosomal protein identifications to unsequenced bacterial strains using matrix-assisted laser desorption/ionization mass spectrometry.

Authors:  Moo-Jin Suh; Daisy-Malloy Hamburg; Steven T Gregory; Albert E Dahlberg; Patrick A Limbach
Journal:  Proteomics       Date:  2005-12       Impact factor: 3.984

3.  Higher sensitivity secondary ion mass spectrometry of biological molecules for high resolution, chemically specific imaging.

Authors:  Liam A McDonnell; Ron M A Heeren; Robert P J de Lange; Ian W Fletcher
Journal:  J Am Soc Mass Spectrom       Date:  2006-06-12       Impact factor: 3.109

Review 4.  Subcellular proteomics reveals neuromelanin granules to be a lysosome-related organelle.

Authors:  F Tribl; K Marcus; H E Meyer; G Bringmann; M Gerlach; P Riederer
Journal:  J Neural Transm (Vienna)       Date:  2006-05-05       Impact factor: 3.575

5.  Enrichment of integral membrane proteins from small amounts of brain tissue.

Authors:  J Schindler; S Jung; G Niedner-Schatteburg; E Friauf; H G Nothwang
Journal:  J Neural Transm (Vienna)       Date:  2006-07-13       Impact factor: 3.575

6.  Comparative Bioinformatics Analyses and Profiling of Lysosome-Related Organelle Proteomes.

Authors:  Zhang-Zhi Hu; Julio C Valencia; Hongzhan Huang; An Chi; Jeffrey Shabanowitz; Vincent J Hearing; Ettore Appella; Cathy Wu
Journal:  Int J Mass Spectrom       Date:  2007-01-01       Impact factor: 1.986

Review 7.  Proteomics of the human placenta: promises and realities.

Authors:  J M Robinson; W E Ackerman; D A Kniss; T Takizawa; D D Vandré
Journal:  Placenta       Date:  2008-01-28       Impact factor: 3.481

Review 8.  18O stable isotope labeling in MS-based proteomics.

Authors:  Xiaoying Ye; Brian Luke; Thorkell Andresson; Josip Blonder
Journal:  Brief Funct Genomic Proteomic       Date:  2009-01-16

9.  Comparative studies of early liver dysfunction in senescence-accelerated mouse using mitochondrial proteomics approaches.

Authors:  Yashu Liu; Jintang He; Shaoyi Ji; Qingsong Wang; Hai Pu; Tingting Jiang; Lingyao Meng; Xiuwei Yang; Jianguo Ji
Journal:  Mol Cell Proteomics       Date:  2008-05-29       Impact factor: 5.911

10.  Placental proteomics: a shortcut to biological insight.

Authors:  J M Robinson; D D Vandré; W E Ackerman
Journal:  Placenta       Date:  2008-12-13       Impact factor: 3.481

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