Data in support of the proteomic analysis of plasma membrane and tonoplast from the leaves of mangrove plant Avicennia officinalis

Pannaga Krishnamurthy; Xing Fei Tan; Teck Kwang Lim; Tit-Meng Lim; Prakash P. Kumar; Chiang-Shiong Loh; Qingsong Lin

doi:10.1016/j.dib.2015.10.016

Data in Brief (Dec 2015)

Data in support of the proteomic analysis of plasma membrane and tonoplast from the leaves of mangrove plant Avicennia officinalis

Pannaga Krishnamurthy,
Xing Fei Tan,
Teck Kwang Lim,
Tit-Meng Lim,
Prakash P. Kumar,
Chiang-Shiong Loh,
Qingsong Lin

Affiliations

Pannaga Krishnamurthy: Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, 117543, Singapore
Xing Fei Tan: Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, 117543, Singapore
Teck Kwang Lim: Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, 117543, Singapore
Tit-Meng Lim: Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, 117543, Singapore
Prakash P. Kumar: Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, 117543, Singapore
Chiang-Shiong Loh: Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, 117543, Singapore
Qingsong Lin: Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, 117543, Singapore

DOI: https://doi.org/10.1016/j.dib.2015.10.016
Journal volume & issue: Vol. 5, no. C
pp. 646 – 652

Abstract

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The data provides information in support of the research article, Proteomics 2014, 14, 2545–2557 [1]. Raw data is available from the ProteomeXchange Consortium via the PRIDE partnerRepository [2] with the dataset identifier PXD000837. Plasma membrane and tonoplast proteins from the leaves of Avicennia officinalis were identified using gel electrophoresis (one and two dimensional) combined with LC–MS analysis. Based on GO annotation, identified proteins were predicted to be involved in various biological processes.

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

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