Literature DB >> 12566009

Stable isotope-coded proteomic mass spectrometry.

Michael B Goshe1, Richard D Smith.   

Abstract

Developing the ability to quantify changes in protein abundance between cells subjected to a variety of physiological and environmental conditions is an extremely active area of proteome research. Although advances in chromatography, mass spectrometry instrumentation, and bioinformatics have contributed to producing a viable method for comparative proteome-wide analyses, the highest precision of quantitation is based, in part, upon improved methods for chemical and metabolic stable isotope labeling of proteins and peptides. The ability to quantify differences in protein expression and post-translational modifications using stable isotope labeling has been achieved, but insights into the biochemical mechanisms that will contribute to the development of new biotechnologies have yet to be realized.

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Year:  2003        PMID: 12566009     DOI: 10.1016/s0958-1669(02)00014-9

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  30 in total

1.  An isotope labeling strategy for quantifying the degree of phosphorylation at multiple sites in proteins.

Authors:  Adrian D Hegeman; Amy C Harms; Michael R Sussman; Anne E Bunner; Jeffrey F Harper
Journal:  J Am Soc Mass Spectrom       Date:  2004-05       Impact factor: 3.109

2.  ProMoST (Protein Modification Screening Tool): a web-based tool for mapping protein modifications on two-dimensional gels.

Authors:  Brian D Halligan; Victor Ruotti; Weihong Jin; Scott Laffoon; Simon N Twigger; Edward A Dratz
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

Review 3.  Advances in protein complex analysis using mass spectrometry.

Authors:  Anne-Claude Gingras; Ruedi Aebersold; Brian Raught
Journal:  J Physiol       Date:  2004-12-20       Impact factor: 5.182

Review 4.  Neuropeptide-processing enzymes: applications for drug discovery.

Authors:  Lloyd D Fricker
Journal:  AAPS J       Date:  2005-10-05       Impact factor: 4.009

Review 5.  Photoaffinity labeling combined with mass spectrometric approaches as a tool for structural proteomics.

Authors:  David Robinette; Nouri Neamati; Kenneth B Tomer; Christoph H Borchers
Journal:  Expert Rev Proteomics       Date:  2006-08       Impact factor: 3.940

Review 6.  Advances in proteomics data analysis and display using an accurate mass and time tag approach.

Authors:  Jennifer S D Zimmer; Matthew E Monroe; Wei-Jun Qian; Richard D Smith
Journal:  Mass Spectrom Rev       Date:  2006 May-Jun       Impact factor: 10.946

7.  Combined chemical and enzymatic stable isotope labeling for quantitative profiling of detergent-insoluble membrane proteins isolated using Triton X-100 and Brij-96.

Authors:  Josip Blonder; Li-Rong Yu; Galina Radeva; King C Chan; David A Lucas; Timothy J Waybright; Haleem J Issaq; Frances J Sharom; Timothy D Veenstra
Journal:  J Proteome Res       Date:  2006-02       Impact factor: 4.466

8.  Minimizing back exchange in 18O/16O quantitative proteomics experiments by incorporation of immobilized trypsin into the initial digestion step.

Authors:  Joel R Sevinsky; Kristy J Brown; Benjamin J Cargile; Jonathan L Bundy; James L Stephenson
Journal:  Anal Chem       Date:  2007-01-24       Impact factor: 6.986

9.  Quantitative proteome analysis using D-labeled N-ethylmaleimide and 13C-labeled iodoacetanilide by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Authors:  Sadamu Kurono; Tamie Kurono; Naoka Komori; Satomi Niwayama; Hiroyuki Matsumoto
Journal:  Bioorg Med Chem       Date:  2006-10-16       Impact factor: 3.641

10.  Large scale comparative proteomics of a chloroplast Clp protease mutant reveals folding stress, altered protein homeostasis, and feedback regulation of metabolism.

Authors:  Boris Zybailov; Giulia Friso; Jitae Kim; Andrea Rudella; Verenice Ramírez Rodríguez; Yukari Asakura; Qi Sun; Klaas J van Wijk
Journal:  Mol Cell Proteomics       Date:  2009-08       Impact factor: 5.911

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