Literature DB >> 12175758

Proteomics goes quantitative: measuring protein abundance.

Hanno Steen1, Akhilesh Pandey.   

Abstract

Protein-based methodologies are catching up with established DNA-based methods at an astonishing speed. Recent developments in mass spectrometry enable high-throughput automated identification of proteins as is already the case with DNA sequencing methods. Furthermore, methods for the quantitation of relative protein abundance at the protein level are getting more advanced, which should complement gene expression monitoring at the mRNA level.

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Year:  2002        PMID: 12175758     DOI: 10.1016/s0167-7799(02)02009-7

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


  12 in total

1.  Label-free protein quantitation using weighted spectral counting.

Authors:  Christine Vogel; Edward M Marcotte
Journal:  Methods Mol Biol       Date:  2012

2.  Transcriptomic messiness in the venom duct of Conus miles contributes to conotoxin diversity.

Authors:  Ai-hua Jin; Sébastien Dutertre; Quentin Kaas; Vincent Lavergne; Petra Kubala; Richard J Lewis; Paul F Alewood
Journal:  Mol Cell Proteomics       Date:  2013-09-16       Impact factor: 5.911

3.  High Sensitivity Quantitative Proteomics Using Automated Multidimensional Nano-flow Chromatography and Accumulated Ion Monitoring on Quadrupole-Orbitrap-Linear Ion Trap Mass Spectrometer.

Authors:  Paolo Cifani; Alex Kentsis
Journal:  Mol Cell Proteomics       Date:  2017-08-18       Impact factor: 5.911

Review 4.  Towards comprehensive and quantitative proteomics for diagnosis and therapy of human disease.

Authors:  Paolo Cifani; Alex Kentsis
Journal:  Proteomics       Date:  2016-12-21       Impact factor: 3.984

5.  Comparison of two label-free global quantitation methods, APEX and 2D gel electrophoresis, applied to the Shigella dysenteriae proteome.

Authors:  Srilatha Kuntumalla; John C Braisted; Shih-Ting Huang; Prashanth P Parmar; David J Clark; Hamid Alami; Quanshun Zhang; Arthur Donohue-Rolfe; Saul Tzipori; Robert D Fleischmann; Scott N Peterson; Rembert Pieper
Journal:  Proteome Sci       Date:  2009-06-29       Impact factor: 2.480

6.  Quantitative atlas of membrane transporter proteins: development and application of a highly sensitive simultaneous LC/MS/MS method combined with novel in-silico peptide selection criteria.

Authors:  Junichi Kamiie; Sumio Ohtsuki; Ryo Iwase; Ken Ohmine; Yuki Katsukura; Kazunari Yanai; Yumi Sekine; Yasuo Uchida; Shingo Ito; Tetsuya Terasaki
Journal:  Pharm Res       Date:  2008-06       Impact factor: 4.200

Review 7.  Tools for exploring the proteomosphere.

Authors:  Andrej Shevchenko; Cristina-Maria Valcu; Magno Junqueira
Journal:  J Proteomics       Date:  2009-01-22       Impact factor: 4.044

8.  A Robot-based platform to measure multiple enzyme activities in Arabidopsis using a set of cycling assays: comparison of changes of enzyme activities and transcript levels during diurnal cycles and in prolonged darkness.

Authors:  Yves Gibon; Oliver E Blaesing; Jan Hannemann; Petronia Carillo; Melanie Höhne; Janneke H M Hendriks; Natalia Palacios; Joanna Cross; Joachim Selbig; Mark Stitt
Journal:  Plant Cell       Date:  2004-11-17       Impact factor: 11.277

9.  The APEX Quantitative Proteomics Tool: generating protein quantitation estimates from LC-MS/MS proteomics results.

Authors:  John C Braisted; Srilatha Kuntumalla; Christine Vogel; Edward M Marcotte; Alan R Rodrigues; Rong Wang; Shih-Ting Huang; Erik S Ferlanti; Alexander I Saeed; Robert D Fleischmann; Scott N Peterson; Rembert Pieper
Journal:  BMC Bioinformatics       Date:  2008-12-09       Impact factor: 3.169

Review 10.  Recent advances in biomedical applications of accelerator mass spectrometry.

Authors:  Sang Soo Hah; Paul T Henderson; Kenneth W Turteltaub
Journal:  J Biomed Sci       Date:  2009-06-17       Impact factor: 8.410

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