Literature DB >> 23567906

Label-free quantification in clinical proteomics.

Dominik A Megger1, Thilo Bracht, Helmut E Meyer, Barbara Sitek.   

Abstract

Nowadays, proteomic studies no longer focus only on identifying as many proteins as possible in a given sample, but aiming for an accurate quantification of them. Especially in clinical proteomics, the investigation of variable protein expression profiles can yield useful information on pathological pathways or biomarkers and drug targets related to a particular disease. Over the time, many quantitative proteomic approaches have been established allowing researchers in the field of proteomics to refer to a comprehensive toolbox of different methodologies. In this review we will give an overview of different methods of quantitative proteomics with focus on label-free proteomics and its use in clinical proteomics.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23567906     DOI: 10.1016/j.bbapap.2013.04.001

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  51 in total

1.  Important Issues in Planning a Proteomics Experiment: Statistical Considerations of Quantitative Proteomic Data.

Authors:  Karin Schork; Katharina Podwojski; Michael Turewicz; Christian Stephan; Martin Eisenacher
Journal:  Methods Mol Biol       Date:  2021

2.  A Primer and Guidelines for Shotgun Proteomic Analysis in Non-model Organisms.

Authors:  Angel P Diz; Paula Sánchez-Marín
Journal:  Methods Mol Biol       Date:  2021

3.  The Canonical Immediate Early 3 Gene Product pIE611 of Mouse Cytomegalovirus Is Dispensable for Viral Replication but Mediates Transcriptional and Posttranscriptional Regulation of Viral Gene Products.

Authors:  Stephanie Rattay; Mirko Trilling; Dominik A Megger; Barbara Sitek; Helmut E Meyer; Hartmut Hengel; Vu Thuy Khanh Le-Trilling
Journal:  J Virol       Date:  2015-06-10       Impact factor: 5.103

Review 4.  Psoriatic arthritis under a proteomic spotlight: application of novel technologies to advance diagnosis and management.

Authors:  Aisha Q Butt; Angela McArdle; David S Gibson; Oliver FitzGerald; Stephen R Pennington
Journal:  Curr Rheumatol Rep       Date:  2015-05       Impact factor: 4.592

5.  Glycoengineering of Mammalian Expression Systems on a Cellular Level.

Authors:  Kelley M Heffner; Qiong Wang; Deniz Baycin Hizal; Özge Can; Michael J Betenbaugh
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

6.  Application of Label-Free Proteomics for Quantitative Analysis of Urothelial Carcinoma and Cystitis Tissue.

Authors:  Kathrin E Witzke; Frederik Großerueschkamp; Klaus Gerwert; Barbara Sitek
Journal:  Methods Mol Biol       Date:  2021

Review 7.  Overview of proteomics studies in obstructive sleep apnea.

Authors:  Amélia Feliciano; Vukosava Milic Torres; Fátima Vaz; Ana Sofia Carvalho; Rune Matthiesen; Paula Pinto; Atul Malhotra; Cristina Bárbara; Deborah Penque
Journal:  Sleep Med       Date:  2015-02-14       Impact factor: 3.492

8.  Evaluation and Application of Dimethylated Amino Acids as Isobaric Tags for Quantitative Proteomics of the TGF-β/Smad3 Signaling Pathway.

Authors:  Qing Yu; Xudong Shi; Tyler Greer; Christopher B Lietz; K Craig Kent; Lingjun Li
Journal:  J Proteome Res       Date:  2016-08-10       Impact factor: 4.466

Review 9.  Biomarker discovery in mass spectrometry-based urinary proteomics.

Authors:  Samuel Thomas; Ling Hao; William A Ricke; Lingjun Li
Journal:  Proteomics Clin Appl       Date:  2016-02-11       Impact factor: 3.494

Review 10.  The clinical impact of recent advances in LC-MS for cancer biomarker discovery and verification.

Authors:  Hui Wang; Tujin Shi; Wei-Jun Qian; Tao Liu; Jacob Kagan; Sudhir Srivastava; Richard D Smith; Karin D Rodland; David G Camp
Journal:  Expert Rev Proteomics       Date:  2015-12-19       Impact factor: 3.940

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