Literature DB >> 11683509

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

A J Forbes1, M T Mazur, H M Patel, C T Walsh, N L Kelleher.   

Abstract

For complete characterization of larger proteins, primary structural analysis by mass spectrometry must be made more efficient. A straightforward approach is illustrated here using two proteins of 159 and 199 kDa with five and nine Lys residues, respectively. These proteins were degraded by Lys-C to mixtures of peptides ranging in size from 5 to 48 kDa, whose multiply charged ions (from electrospray ionization) are far more amenable than the intact proteins to direct interrogation in a Fourier-transform mass spectrometer. For the 199 kDa PchF of approximately 60% purity, an unfractionated Lys-C digest gave 106 isotopic distributions from 71 components (most of which were below 6 kDa); 15% sequence coverage was obtained. For the > 90% pure PchE (159 kDa), complete sequence coverage was obtained from six Lys-C peptides of 5, 8, 26, 32, 40 and 48 kDa, with all but the largest of these measured at isotopic resolution on a 4.7 Tesla instrument. Practical strategies for implementing this characterization strategy on a proteomic scale are considered.

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Year:  2001        PMID: 11683509     DOI: 10.1002/1615-9861(200108)1:8<927::AID-PROT927>3.0.CO;2-T

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  15 in total

1.  Top-down mass spectrometry of a 29-kDa protein for characterization of any posttranslational modification to within one residue.

Authors:  Siu Kwan Sze; Ying Ge; HanBin Oh; Fred W McLafferty
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-12       Impact factor: 11.205

Review 2.  Accurate mass measurements in proteomics.

Authors:  Tao Liu; Mikhail E Belov; Navdeep Jaitly; Wei-Jun Qian; Richard D Smith
Journal:  Chem Rev       Date:  2007-07-25       Impact factor: 60.622

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

Authors:  Matthias Mann; Neil L Kelleher
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-25       Impact factor: 11.205

Review 4.  Top-down identification and characterization of biomolecules by mass spectrometry.

Authors:  Kathrin Breuker; Mi Jin; Xuemei Han; Honghai Jiang; Fred W McLafferty
Journal:  J Am Soc Mass Spectrom       Date:  2008-05-28       Impact factor: 3.109

Review 5.  Protein-protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches.

Authors:  Armand G Ngounou Wetie; Izabela Sokolowska; Alisa G Woods; Urmi Roy; Katrin Deinhardt; Costel C Darie
Journal:  Cell Mol Life Sci       Date:  2013-04-12       Impact factor: 9.261

6.  Precise and parallel characterization of coding polymorphisms, alternative splicing, and modifications in human proteins by mass spectrometry.

Authors:  Michael J Roth; Andrew J Forbes; Michael T Boyne; Yong-Bin Kim; Dana E Robinson; Neil L Kelleher
Journal:  Mol Cell Proteomics       Date:  2005-04-28       Impact factor: 5.911

7.  Tandem mass spectrometry with ultrahigh mass accuracy clarifies peptide identification by database retrieval.

Authors:  Michael T Boyne; Benjamin A Garcia; Mingxi Li; Leonid Zamdborg; Craig D Wenger; Shannee Babai; Neil L Kelleher
Journal:  J Proteome Res       Date:  2009-01       Impact factor: 4.466

8.  Versatile online-offline engine for automated acquisition of high-resolution tandem mass spectra.

Authors:  Craig D Wenger; Michael T Boyne; Jonathan T Ferguson; Dana E Robinson; Neil L Kelleher
Journal:  Anal Chem       Date:  2008-10-08       Impact factor: 6.986

9.  A protease for 'middle-down' proteomics.

Authors:  Cong Wu; John C Tran; Leonid Zamdborg; Kenneth R Durbin; Mingxi Li; Dorothy R Ahlf; Bryan P Early; Paul M Thomas; Jonathan V Sweedler; Neil L Kelleher
Journal:  Nat Methods       Date:  2012-06-17       Impact factor: 28.547

10.  YADA: a tool for taking the most out of high-resolution spectra.

Authors:  Paulo C Carvalho; Tao Xu; Xuemei Han; Daniel Cociorva; Valmir C Barbosa; John R Yates
Journal:  Bioinformatics       Date:  2009-08-14       Impact factor: 6.937

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