Literature DB >> 21062094

Mining the plasma proteome for disease applications across seven logs of protein abundance.

Q Zhang1, V Faca, S Hanash.   

Abstract

The current state of proteomics technologies has sufficiently advanced to allow in-depth quantitative analysis of the plasma proteome and development of a related knowledge base. Here we review approaches that have been applied to increase depth of analysis by mass spectrometry given the substantial complexity of plasma and the vast dynamic range of protein abundance. Fractionation strategies resulting in reduced complexity of individual fractions followed by mass spectrometry analysis of digests from individual fractions has allowed well in excess of 1000 proteins to be identified and quantified with high confidence that span more than seven logs of protein abundance. Such depth of analysis has contributed to elucidation of plasma proteome variation in health and of protein changes associated with disease states.

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Year:  2010        PMID: 21062094     DOI: 10.1021/pr101052y

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  20 in total

Review 1.  Integration of proteomics into systems biology of cancer.

Authors:  S Hanash; M Schliekelman; Q Zhang; A Taguchi
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2012-03-08

2.  Increased plasma levels of the APC-interacting protein MAPRE1, LRG1, and IGFBP2 preceding a diagnosis of colorectal cancer in women.

Authors:  Jon J Ladd; Tina Busald; Melissa M Johnson; Qing Zhang; Sharon J Pitteri; Hong Wang; Dean E Brenner; Paul D Lampe; Raju Kucherlapati; Ziding Feng; Ross L Prentice; Samir M Hanash
Journal:  Cancer Prev Res (Phila)       Date:  2012-01-25

3.  Analysis of the plasma proteome in COPD: Novel low abundance proteins reflect the severity of lung remodeling.

Authors:  Salim Merali; Carlos A Barrero; Russell P Bowler; Diane Er Chen; Gerard Criner; Alan Braverman; Samuel Litwin; Anthony Yeung; Steven G Kelsen
Journal:  COPD       Date:  2013-10-10       Impact factor: 2.409

4.  Mass Spectrometry-based Proteomics and Peptidomics for Systems Biology and Biomarker Discovery.

Authors:  Robert Cunningham; Di Ma; Lingjun Li
Journal:  Front Biol (Beijing)       Date:  2012-08-01

5.  Proteomics of microparticles with SILAC Quantification (PROMIS-Quan): a novel proteomic method for plasma biomarker quantification.

Authors:  Michal Harel; Pazit Oren-Giladi; Orit Kaidar-Person; Yuval Shaked; Tamar Geiger
Journal:  Mol Cell Proteomics       Date:  2015-01-26       Impact factor: 5.911

6.  Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data.

Authors:  Vera Ignjatovic; Philipp E Geyer; Krishnan K Palaniappan; Jessica E Chaaban; Gilbert S Omenn; Mark S Baker; Eric W Deutsch; Jochen M Schwenk
Journal:  J Proteome Res       Date:  2019-10-11       Impact factor: 4.466

7.  Application of proteomics to cancer early detection.

Authors:  Samir Hanash; Ayumu Taguchi
Journal:  Cancer J       Date:  2011 Nov-Dec       Impact factor: 3.360

Review 8.  Unleashing the power of proteomics to develop blood-based cancer markers.

Authors:  Ayumu Taguchi; Samir M Hanash
Journal:  Clin Chem       Date:  2012-10-24       Impact factor: 8.327

9.  Multinozzle emitter array chips for small-volume proteomics.

Authors:  Pan Mao; Rafael Gomez-Sjoberg; Daojing Wang
Journal:  Anal Chem       Date:  2012-12-21       Impact factor: 6.986

10.  Improved detection of quantitative differences using a combination of spectral counting and MS/MS total ion current.

Authors:  Dana M Freund; Jessica E Prenni
Journal:  J Proteome Res       Date:  2013-03-12       Impact factor: 4.466

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