Literature DB >> 18818311

Precision proteomics: the case for high resolution and high mass accuracy.

Matthias Mann1, Neil L Kelleher.   

Abstract

Proteomics has progressed radically in the last 5 years and is now on par with most genomic technologies in throughput and comprehensiveness. Analyzing peptide mixtures by liquid chromatography coupled to high-resolution mass spectrometry (LC-MS) has emerged as the main technology for in-depth proteome analysis whereas two-dimensional gel electrophoresis, low-resolution MALDI, and protein arrays are playing niche roles. MS-based proteomics is rapidly becoming quantitative through both label-free and stable isotope labeling technologies. The latest generation of mass spectrometers combines extremely high resolving power, mass accuracy, and very high sequencing speed in routine proteomic applications. Peptide fragmentation is mostly performed in low-resolution but very sensitive and fast linear ion traps. However, alternative fragmentation methods and high-resolution fragment analysis are becoming much more practical. Recent advances in computational proteomics are removing the data analysis bottleneck. Thus, in a few specialized laboratories, "precision proteomics" can now identify and quantify almost all fragmented peptide peaks. Huge challenges and opportunities remain in technology development for proteomics; thus, this is not "the beginning of the end" but surely "the end of the beginning."

Mesh:

Year:  2008        PMID: 18818311      PMCID: PMC2587563          DOI: 10.1073/pnas.0800788105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  57 in total

Review 1.  Clinical proteomics: translating benchside promise into bedside reality.

Authors:  Emanuel F Petricoin; Kathryn C Zoon; Elise C Kohn; J Carl Barrett; Lance A Liotta
Journal:  Nat Rev Drug Discov       Date:  2002-09       Impact factor: 84.694

2.  The RESID Database of Protein Modifications as a resource and annotation tool.

Authors:  John S Garavelli
Journal:  Proteomics       Date:  2004-06       Impact factor: 3.984

3.  Novel linear quadrupole ion trap/FT mass spectrometer: performance characterization and use in the comparative analysis of histone H3 post-translational modifications.

Authors:  John E P Syka; Jarrod A Marto; Dina L Bai; Stevan Horning; Michael W Senko; Jae C Schwartz; Beatrix Ueberheide; Benjamin Garcia; Scott Busby; Tara Muratore; Jeffrey Shabanowitz; Donald F Hunt
Journal:  J Proteome Res       Date:  2004 May-Jun       Impact factor: 4.466

4.  The Orbitrap: a new mass spectrometer.

Authors:  Qizhi Hu; Robert J Noll; Hongyan Li; Alexander Makarov; Mark Hardman; R Graham Cooks
Journal:  J Mass Spectrom       Date:  2005-04       Impact factor: 1.982

5.  Computational prediction of proteotypic peptides for quantitative proteomics.

Authors:  Parag Mallick; Markus Schirle; Sharon S Chen; Mark R Flory; Hookeun Lee; Daniel Martin; Jeffrey Ranish; Brian Raught; Robert Schmitt; Thilo Werner; Bernhard Kuster; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2006-12-31       Impact factor: 54.908

6.  Dynamic profiling of the post-translational modifications and interaction partners of epidermal growth factor receptor signaling after stimulation by epidermal growth factor using Extended Range Proteomic Analysis (ERPA).

Authors:  Shiaw-Lin Wu; Jeongkwon Kim; Russell W Bandle; Lance Liotta; Emanuel Petricoin; Barry L Karger
Journal:  Mol Cell Proteomics       Date:  2006-06-23       Impact factor: 5.911

Review 7.  Mass spectrometry-based functional proteomics: from molecular machines to protein networks.

Authors:  Thomas Köcher; Giulio Superti-Furga
Journal:  Nat Methods       Date:  2007-10       Impact factor: 28.547

8.  "Proteotyping": population proteomics of human leukocytes using top down mass spectrometry.

Authors:  Michael J Roth; Bryan A Parks; Jonathan T Ferguson; Michael T Boyne; Neil L Kelleher
Journal:  Anal Chem       Date:  2008-03-20       Impact factor: 6.986

9.  Toward efficient analysis of >70 kDa proteins with 100% sequence coverage.

Authors:  A J Forbes; M T Mazur; H M Patel; C T Walsh; N L Kelleher
Journal:  Proteomics       Date:  2001-08       Impact factor: 3.984

10.  Déjà vu in proteomics. A hit parade of repeatedly identified differentially expressed proteins.

Authors:  Jiri Petrak; Robert Ivanek; Ondrej Toman; Radek Cmejla; Jana Cmejlova; Daniel Vyoral; Jan Zivny; Christopher D Vulpe
Journal:  Proteomics       Date:  2008-05       Impact factor: 3.984

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  152 in total

1.  Improved mass defect model for theoretical tryptic peptides.

Authors:  Indranil Mitra; Alexey V Nefedov; Allan R Brasier; Rovshan G Sadygov
Journal:  Anal Chem       Date:  2012-03-07       Impact factor: 6.986

2.  On marathons and Sprints: an integrated quantitative proteomics and transcriptomics analysis of differences between slow and fast muscle fibers.

Authors:  Hannes C A Drexler; Aaron Ruhs; Anne Konzer; Luca Mendler; Mark Bruckskotten; Mario Looso; Stefan Günther; Thomas Boettger; Marcus Krüger; Thomas Braun
Journal:  Mol Cell Proteomics       Date:  2011-12-30       Impact factor: 5.911

3.  Biological physics in México: Review and new challenges.

Authors:  Enrique Hernández-Lemus
Journal:  J Biol Phys       Date:  2011-02-11       Impact factor: 1.365

4.  A novel 9.4 tesla FTICR mass spectrometer with improved sensitivity, mass resolution, and mass range.

Authors:  Nathan K Kaiser; John P Quinn; Gregory T Blakney; Christopher L Hendrickson; Alan G Marshall
Journal:  J Am Soc Mass Spectrom       Date:  2011-05-05       Impact factor: 3.109

5.  Calibration function for the Orbitrap FTMS accounting for the space charge effect.

Authors:  Mikhail V Gorshkov; David M Good; Yaroslav Lyutvinskiy; Hongqian Yang; Roman A Zubarev
Journal:  J Am Soc Mass Spectrom       Date:  2010-07-07       Impact factor: 3.109

Review 6.  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

7.  Integrative structure modeling of macromolecular assemblies from proteomics data.

Authors:  Keren Lasker; Jeremy L Phillips; Daniel Russel; Javier Velázquez-Muriel; Dina Schneidman-Duhovny; Elina Tjioe; Ben Webb; Avner Schlessinger; Andrej Sali
Journal:  Mol Cell Proteomics       Date:  2010-05-27       Impact factor: 5.911

8.  Data analysis strategy for maximizing high-confidence protein identifications in complex proteomes such as human tumor secretomes and human serum.

Authors:  Huan Wang; Hsin-Yao Tang; Glenn C Tan; David W Speicher
Journal:  J Proteome Res       Date:  2011-10-18       Impact factor: 4.466

9.  A proteomics search algorithm specifically designed for high-resolution tandem mass spectra.

Authors:  Craig D Wenger; Joshua J Coon
Journal:  J Proteome Res       Date:  2013-01-31       Impact factor: 4.466

10.  Mass spectrometry in cancer biomarker research: a case for immunodepletion of abundant blood-derived proteins from clinical tissue specimens.

Authors:  Darue A Prieto; Donald J Johann; Bih-Rong Wei; Xiaoying Ye; King C Chan; Dwight V Nissley; R Mark Simpson; Deborah E Citrin; Crystal L Mackall; W Marston Linehan; Josip Blonder
Journal:  Biomark Med       Date:  2014       Impact factor: 2.851

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