Literature DB >> 18579615

Label-free mass spectrometry-based protein quantification technologies in proteomic analysis.

Mu Wang1, Jinsam You, Kerry G Bemis, Tony J Tegeler, Dawn P G Brown.   

Abstract

Major technological advances have made proteomics an extremely active field for biomarker discovery and validation in recent years. These improvements have lead to an increased emphasis on larger scale, faster and more efficient methods for protein biomarker discoveries in human tissues, cells and biofluids. However, most current proteomic methodologies for biomarker discovery and validation are not highly automated and generally labour intensive and expensive. Improved automation as well as software programs capable of handling a large amount of data are essential in order to reduce the cost of discovery and increase the throughput. In this review, we will discuss and describe the label-free mass spectrometry-based protein quantification technologies and a case study utilizing one of these methods for biomarker discovery.

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Year:  2008        PMID: 18579615     DOI: 10.1093/bfgp/eln031

Source DB:  PubMed          Journal:  Brief Funct Genomic Proteomic        ISSN: 1473-9550


  51 in total

1.  Serum proteomic profiling in patients with drug-induced liver injury.

Authors:  L N Bell; R Vuppalanchi; P B Watkins; H L Bonkovsky; J Serrano; R J Fontana; M Wang; J Rochon; N Chalasani
Journal:  Aliment Pharmacol Ther       Date:  2012-03       Impact factor: 8.171

2.  High-stringency tandem affinity purification of proteins conjugated to ubiquitin-like moieties.

Authors:  Filip Golebiowski; Michael H Tatham; Akihiro Nakamura; Ronald T Hay
Journal:  Nat Protoc       Date:  2010-04-15       Impact factor: 13.491

3.  Capturing and identification of differentially expressed fucome by a gel free and label free approach.

Authors:  Chanida Puangpila; Ziad El Rassi
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2015-03-14       Impact factor: 3.205

4.  Serum proteomics and biomarker discovery across the spectrum of nonalcoholic fatty liver disease.

Authors:  Lauren N Bell; Janice L Theodorakis; Raj Vuppalanchi; Romil Saxena; Kerry G Bemis; Mu Wang; Naga Chalasani
Journal:  Hepatology       Date:  2010-01       Impact factor: 17.425

5.  Serum Carbonic Anhydrase 1 is a Biomarker for Diagnosis of Human Schistosoma mansoni Infection.

Authors:  Manal Ibrahim Kardoush; Brian J Ward; Momar Ndao
Journal:  Am J Trop Med Hyg       Date:  2017-04       Impact factor: 2.345

Review 6.  Multi-dimensional liquid chromatography in proteomics--a review.

Authors:  Xiang Zhang; Aiqin Fang; Catherine P Riley; Mu Wang; Fred E Regnier; Charles Buck
Journal:  Anal Chim Acta       Date:  2010-02-06       Impact factor: 6.558

7.  Glucose autoxidation induces functional damage to proteins via modification of critical arginine residues.

Authors:  Sergei Chetyrkin; Missy Mathis; Vadim Pedchenko; Otto A Sanchez; W Hayes McDonald; David L Hachey; Hartman Madu; Donald Stec; Billy Hudson; Paul Voziyan
Journal:  Biochemistry       Date:  2011-06-20       Impact factor: 3.162

Review 8.  Quantification of histone modifications using ¹⁵N metabolic labeling.

Authors:  Chunchao Zhang; Yifan Liu; Philip C Andrews
Journal:  Methods       Date:  2013-02-27       Impact factor: 3.608

9.  Proteomic analysis of human aqueous humor using multidimensional protein identification technology.

Authors:  Matthew R Richardson; Marianne O Price; Francis W Price; Jennifer C Pardo; Juan C Grandin; Jinsam You; Mu Wang; Mervin C Yoder
Journal:  Mol Vis       Date:  2009-12-11       Impact factor: 2.367

10.  Proteomic analysis of blastema formation in regenerating axolotl limbs.

Authors:  Nandini Rao; Deepali Jhamb; Derek J Milner; Bingbing Li; Fengyu Song; Mu Wang; S Randal Voss; Mathew Palakal; Michael W King; Behnaz Saranjami; Holly L D Nye; Jo Ann Cameron; David L Stocum
Journal:  BMC Biol       Date:  2009-11-30       Impact factor: 7.431

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