Literature DB >> 19041286

Multiple reaction monitoring for quantitative biomarker analysis in proteomics and metabolomics.

Neil R Kitteringham1, Rosalind E Jenkins, Catherine S Lane, Victoria L Elliott, B Kevin Park.   

Abstract

The conventional pipeline for biomarker development involves a discovery phase, typically conducted by mass spectrometry (MS), followed by validation and clinical application, usually on an alternative platform, such as immunoassay. Whilst this approach is suitable for the development of single biomarkers, with the current drive towards larger panels of multiplexed biomarkers, the process becomes inefficient and costly. Consequently, the emphasis is now shifting towards performing full biomarker discovery, qualification and quantification on the same technology platform. The ease of multiplexing and ability to determine protein modifications makes MS an attractive alternative to antibody-based technologies. In addition, developments in quantitative MS, through the application of stable isotope labelling and scanning techniques, such as multiple reaction monitoring (MRM), have greatly enhanced both the specificity and sensitivity of MS-based assays to the point that they can rival immunoassay for some analytes. This review focuses on the application of MRM for quantitative MS analysis, particularly with respect to proteins and peptides.

Mesh:

Substances:

Year:  2008        PMID: 19041286     DOI: 10.1016/j.jchromb.2008.11.013

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  91 in total

1.  The identification of the endogenous ligands of natural killer T cells reveals the presence of mammalian α-linked glycosylceramides.

Authors:  Lisa Kain; Bill Webb; Brian L Anderson; Shenglou Deng; Marie Holt; Anne Costanzo; Anne Constanzo; Meng Zhao; Kevin Self; Anais Teyton; Chris Everett; Mitchell Kronenberg; Dirk M Zajonc; Albert Bendelac; Paul B Savage; Luc Teyton
Journal:  Immunity       Date:  2014-10-16       Impact factor: 31.745

Review 2.  Molecular imaging by mass spectrometry--looking beyond classical histology.

Authors:  Kristina Schwamborn; Richard M Caprioli
Journal:  Nat Rev Cancer       Date:  2010-08-19       Impact factor: 60.716

Review 3.  Decoding signalling networks by mass spectrometry-based proteomics.

Authors:  Chunaram Choudhary; Matthias Mann
Journal:  Nat Rev Mol Cell Biol       Date:  2010-05-12       Impact factor: 94.444

4.  Multiplex targeted proteomic assay for biomarker detection in plasma: a pancreatic cancer biomarker case study.

Authors:  Sheng Pan; Ru Chen; Randall E Brand; Sarah Hawley; Yasuko Tamura; Philip R Gafken; Brian P Milless; David R Goodlett; John Rush; Teresa A Brentnall
Journal:  J Proteome Res       Date:  2012-02-08       Impact factor: 4.466

5.  Isolevuglandins and mitochondrial enzymes in the retina: mass spectrometry detection of post-translational modification of sterol-metabolizing CYP27A1.

Authors:  Casey Charvet; Wei-Li Liao; Gun-Young Heo; James Laird; Robert G Salomon; Illarion V Turko; Irina A Pikuleva
Journal:  J Biol Chem       Date:  2011-04-15       Impact factor: 5.157

6.  Mass spectrometry quantification of PICALM and AP180 in human frontal cortex and neural retina.

Authors:  Junjun Chen; Irina A Pikuleva; Illarion V Turko
Journal:  Anal Biochem       Date:  2013-08-13       Impact factor: 3.365

7.  Proteomic Interrogation in Cancer Biomarker.

Authors:  Un-Beom Kang
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 8.  Metabolomics: A Primer.

Authors:  Xiaojing Liu; Jason W Locasale
Journal:  Trends Biochem Sci       Date:  2017-02-11       Impact factor: 13.807

9.  Quantification of cholesterol-metabolizing P450s CYP27A1 and CYP46A1 in neural tissues reveals a lack of enzyme-product correlations in human retina but not human brain.

Authors:  Wei-Li Liao; Gun-Young Heo; Nathan G Dodder; Rachel E Reem; Natalia Mast; Suber Huang; Pier Luigi Dipatre; Illarion V Turko; Irina A Pikuleva
Journal:  J Proteome Res       Date:  2010-11-16       Impact factor: 4.466

10.  Quantitative Proteomics Analysis Reveals Novel Insights into Mechanisms of Action of Long Noncoding RNA Hox Transcript Antisense Intergenic RNA (HOTAIR) in HeLa Cells.

Authors:  Peng Zheng; Qian Xiong; Ying Wu; Ying Chen; Zhuo Chen; Joy Fleming; Ding Gao; Lijun Bi; Feng Ge
Journal:  Mol Cell Proteomics       Date:  2015-03-11       Impact factor: 5.911

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.