Literature DB >> 12573857

Global organellar proteomics.

Steven W Taylor1, Eoin Fahy, Soumitra S Ghosh.   

Abstract

Cataloging the proteomes of single-celled microorganisms, cells, biological fluids, tissue and whole organisms is being undertaken at a rapid pace as advances are made in protein and peptide separation, detection and identification. For metazoans, subcellular organelles represent attractive targets for global proteome analysis because they represent discrete functional units, their complexity in protein composition is reduced relative to whole cells and, when abundant cytoskeletal proteins are removed, lower abundance proteins specific to the organelle are revealed. Here, we review recent literature on the global analysis of subcellular organelles and briefly discuss how that information is being used to elucidate basic biological processes that range from cellular signaling pathways through protein-protein interactions to differential expression of proteins in response to external stimuli. We assess the relative merits of the different methods used and discuss issues and future directions in the field.

Mesh:

Substances:

Year:  2003        PMID: 12573857     DOI: 10.1016/S0167-7799(02)00037-9

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  48 in total

1.  Predicting subcellular localization via protein motif co-occurrence.

Authors:  Michelle S Scott; David Y Thomas; Michael T Hallett
Journal:  Genome Res       Date:  2004-10       Impact factor: 9.043

2.  Combining machine learning and homology-based approaches to accurately predict subcellular localization in Arabidopsis.

Authors:  Rakesh Kaundal; Reena Saini; Patrick X Zhao
Journal:  Plant Physiol       Date:  2010-07-20       Impact factor: 8.340

3.  Identification in pea seed mitochondria of a late-embryogenesis abundant protein able to protect enzymes from drying.

Authors:  Johann Grelet; Abdelilah Benamar; Emeline Teyssier; Marie-Hélène Avelange-Macherel; Didier Grunwald; David Macherel
Journal:  Plant Physiol       Date:  2004-12-23       Impact factor: 8.340

Review 4.  Proteomics of the human brain: sub-proteomes might hold the key to handle brain complexity.

Authors:  F Tribl; K Marcus; G Bringmann; H E Meyer; M Gerlach; P Riederer
Journal:  J Neural Transm (Vienna)       Date:  2006-07-13       Impact factor: 3.575

Review 5.  Organellar proteomics: turning inventories into insights.

Authors:  Jens S Andersen; Matthias Mann
Journal:  EMBO Rep       Date:  2006-09       Impact factor: 8.807

6.  Mutations in the passenger polypeptide can affect its partitioning between mitochondria and cytoplasm: mutations can impair the mitochondrial import of DsRed.

Authors:  Viktoriya Pastukh; Inna N Shokolenko; Glenn L Wilson; Mikhail F Alexeyev
Journal:  Mol Biol Rep       Date:  2007-03-24       Impact factor: 2.316

7.  Systematic characterization of the murine mitochondrial proteome using functionally validated cardiac mitochondria.

Authors:  Jun Zhang; Xiaohai Li; Michael Mueller; Yueju Wang; Chenggong Zong; Ning Deng; Thomas M Vondriska; David A Liem; Jeong-In Yang; Paavo Korge; Henry Honda; James N Weiss; Rolf Apweiler; Peipei Ping
Journal:  Proteomics       Date:  2008-04       Impact factor: 3.984

8.  Phosphorylation site mapping of soluble proteins: bioinformatical filtering reveals potential plastidic phosphoproteins in Arabidopsis thaliana.

Authors:  Katharina Lohrig; Bernd Müller; Joulia Davydova; Dario Leister; Dirk Andreas Wolters
Journal:  Planta       Date:  2009-02-24       Impact factor: 4.116

9.  Proteome profile of functional mitochondria from human skeletal muscle using one-dimensional gel electrophoresis and HPLC-ESI-MS/MS.

Authors:  Natalie Lefort; Zhengping Yi; Benjamin Bowen; Brian Glancy; Eleanna A De Filippis; Rebekka Mapes; Hyonson Hwang; Charles R Flynn; Wayne T Willis; Anthony Civitarese; Kurt Højlund; Lawrence J Mandarino
Journal:  J Proteomics       Date:  2009-06-28       Impact factor: 4.044

Review 10.  Peptide motifs: building the clathrin machinery.

Authors:  Peter S McPherson; Brigitte Ritter
Journal:  Mol Neurobiol       Date:  2005-08       Impact factor: 5.590

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.