Literature DB >> 25929842

Protein identification and quantification from riverbank grape, Vitis riparia: Comparing SDS-PAGE and FASP-GPF techniques for shotgun proteomic analysis.

Iniga S George1, Anne Y Fennell2, Paul A Haynes1.   

Abstract

Protein sample preparation optimisation is critical for establishing reproducible high throughput proteomic analysis. In this study, two different fractionation sample preparation techniques (in-gel digestion and in-solution digestion) for shotgun proteomics were used to quantitatively compare proteins identified in Vitis riparia leaf samples. The total number of proteins and peptides identified were compared between filter aided sample preparation (FASP) coupled with gas phase fractionation (GPF) and SDS-PAGE methods. There was a 24% increase in the total number of reproducibly identified proteins when FASP-GPF was used. FASP-GPF is more reproducible, less expensive and a better method than SDS-PAGE for shotgun proteomics of grapevine samples as it significantly increases protein identification across biological replicates. Total peptide and protein information from the two fractionation techniques is available in PRIDE with the identifier PXD001399 (http://proteomecentral.proteomexchange.org/dataset/PXD001399).
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Filter Aided Sample Preparation (FASP); Gas Phase Fractionation (GPF); Grapevine; Label-free quantitative shotgun proteomics; Plant proteomics; Vitis riparia

Mesh:

Substances:

Year:  2015        PMID: 25929842     DOI: 10.1002/pmic.201500085

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  7 in total

1.  Quick 96FASP for high throughput quantitative proteome analysis.

Authors:  Yanbao Yu; Shiferaw Bekele; Rembert Pieper
Journal:  J Proteomics       Date:  2017-06-29       Impact factor: 4.044

2.  Diagnostic and prognostic significance of serum apolipoprotein C-I in triple-negative breast cancer based on mass spectrometry.

Authors:  Dongjian Song; Lifang Yue; Junjie Zhang; Shanshan Ma; Wei Zhao; Fei Guo; Yingzhong Fan; Heying Yang; Qiuliang Liu; Da Zhang; Ziqiang Xia; Pan Qin; Jia Jia; Ming Yue; Jiekai Yu; Shu Zheng; Fuquan Yang; Jiaxiang Wang
Journal:  Cancer Biol Ther       Date:  2016-06-03       Impact factor: 4.742

3.  Draft genome of the Native American cold hardy grapevine Vitis riparia Michx. 'Manitoba 37'.

Authors:  Sagar Patel; Michael Robben; Anne Fennell; Jason P Londo; Dilmini Alahakoon; Roberto Villegas-Diaz; Padmapriya Swaminathan
Journal:  Hortic Res       Date:  2020-06-01       Impact factor: 6.793

4.  PeptideWitch-A Software Package to Produce High-Stringency Proteomics Data Visualizations from Label-Free Shotgun Proteomics Data.

Authors:  David C L Handler; Flora Cheng; Abdulrahman M Shathili; Paul A Haynes
Journal:  Proteomes       Date:  2020-08-21

Review 5.  Bringing New Methods to the Seed Proteomics Platform: Challenges and Perspectives.

Authors:  Galina Smolikova; Daria Gorbach; Elena Lukasheva; Gregory Mavropolo-Stolyarenko; Tatiana Bilova; Alena Soboleva; Alexander Tsarev; Ekaterina Romanovskaya; Ekaterina Podolskaya; Vladimir Zhukov; Igor Tikhonovich; Sergei Medvedev; Wolfgang Hoehenwarter; Andrej Frolov
Journal:  Int J Mol Sci       Date:  2020-12-01       Impact factor: 5.923

6.  Diagnostic and prognostic role of serum protein peak at 6449 m/z in gastric adenocarcinoma based on mass spectrometry.

Authors:  Dongjian Song; Lifang Yue; Hao Li; Junjie Zhang; Zechen Yan; Yingzhong Fan; Heying Yang; Qiuliang Liu; Da Zhang; Ziqiang Xia; Pan Qin; Jia Jia; Ming Yue; Jiekai Yu; Shu Zheng; Fuquan Yang; Jiaxiang Wang
Journal:  Br J Cancer       Date:  2016-03-22       Impact factor: 7.640

7.  Proteomic Analysis Reveals Coordinated Regulation of Anthocyanin Biosynthesis through Signal Transduction and Sugar Metabolism in Black Rice Leaf.

Authors:  Linghua Chen; Yining Huang; Ming Xu; Zuxin Cheng; Jingui Zheng
Journal:  Int J Mol Sci       Date:  2017-12-15       Impact factor: 5.923

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.