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Identification and bioinformatic analysis of the membrane proteins of synechocystis sp. PCC 6803

BACKGROUND: The membranes of Synechocystis sp. PCC 6803 play a central role in photosynthesis, respiration and other important metabolic pathways. Comprehensive identification of the membrane proteins is of importance for a better understanding of the diverse functions of its unique membrane structu...

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Autores principales: Wang, Yingchun, Xu, Wu, Chitnis, Parag R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2666656/
https://www.ncbi.nlm.nih.gov/pubmed/19320970
http://dx.doi.org/10.1186/1477-5956-7-11
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author Wang, Yingchun
Xu, Wu
Chitnis, Parag R
author_facet Wang, Yingchun
Xu, Wu
Chitnis, Parag R
author_sort Wang, Yingchun
collection PubMed
description BACKGROUND: The membranes of Synechocystis sp. PCC 6803 play a central role in photosynthesis, respiration and other important metabolic pathways. Comprehensive identification of the membrane proteins is of importance for a better understanding of the diverse functions of its unique membrane structures. Up to date, approximately 900 known or predicted membrane proteins, consisting 24.5% of Synechocystis sp. PCC 6803 proteome, have been indentified by large-scale proteomic studies. RESULTS: To resolve more membrane proteins on 2-D gels for mass spectrometry identification, we separated integral proteins from membrane associated proteins and collected them as the integral and peripheral fractions, respectively. In total, 95 proteins in the peripheral fraction and 29 proteins in the integral fraction were identified, including the 5 unique proteins that were not identified by any previous studies. Bioinformatic analysis revealed that the identified proteins can be functionally classified into 14 distinct groups according to the cellular functions annotated by Cyanobase, including the two largest groups hypothetical and unknown, and photosynthesis and respiration. Homology analysis indicates that the identified membrane proteins are more conserved than the rest of the proteome. CONCLUSION: The proteins identified in this study combined with other published proteomic data provide the most comprehensive Synechocystis proteome catalog, which will serve as a useful reference for further detailed studies to address protein functions through both traditional gene-by-gene and systems biology approaches.
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spelling pubmed-26666562009-04-08 Identification and bioinformatic analysis of the membrane proteins of synechocystis sp. PCC 6803 Wang, Yingchun Xu, Wu Chitnis, Parag R Proteome Sci Research BACKGROUND: The membranes of Synechocystis sp. PCC 6803 play a central role in photosynthesis, respiration and other important metabolic pathways. Comprehensive identification of the membrane proteins is of importance for a better understanding of the diverse functions of its unique membrane structures. Up to date, approximately 900 known or predicted membrane proteins, consisting 24.5% of Synechocystis sp. PCC 6803 proteome, have been indentified by large-scale proteomic studies. RESULTS: To resolve more membrane proteins on 2-D gels for mass spectrometry identification, we separated integral proteins from membrane associated proteins and collected them as the integral and peripheral fractions, respectively. In total, 95 proteins in the peripheral fraction and 29 proteins in the integral fraction were identified, including the 5 unique proteins that were not identified by any previous studies. Bioinformatic analysis revealed that the identified proteins can be functionally classified into 14 distinct groups according to the cellular functions annotated by Cyanobase, including the two largest groups hypothetical and unknown, and photosynthesis and respiration. Homology analysis indicates that the identified membrane proteins are more conserved than the rest of the proteome. CONCLUSION: The proteins identified in this study combined with other published proteomic data provide the most comprehensive Synechocystis proteome catalog, which will serve as a useful reference for further detailed studies to address protein functions through both traditional gene-by-gene and systems biology approaches. BioMed Central 2009-03-25 /pmc/articles/PMC2666656/ /pubmed/19320970 http://dx.doi.org/10.1186/1477-5956-7-11 Text en Copyright © 2009 Wang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Wang, Yingchun
Xu, Wu
Chitnis, Parag R
Identification and bioinformatic analysis of the membrane proteins of synechocystis sp. PCC 6803
title Identification and bioinformatic analysis of the membrane proteins of synechocystis sp. PCC 6803
title_full Identification and bioinformatic analysis of the membrane proteins of synechocystis sp. PCC 6803
title_fullStr Identification and bioinformatic analysis of the membrane proteins of synechocystis sp. PCC 6803
title_full_unstemmed Identification and bioinformatic analysis of the membrane proteins of synechocystis sp. PCC 6803
title_short Identification and bioinformatic analysis of the membrane proteins of synechocystis sp. PCC 6803
title_sort identification and bioinformatic analysis of the membrane proteins of synechocystis sp. pcc 6803
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2666656/
https://www.ncbi.nlm.nih.gov/pubmed/19320970
http://dx.doi.org/10.1186/1477-5956-7-11
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