Home LiteratureArticle Details
PMID: 11683509 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

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

Proteomics ·Vol. 1 ·No. 8 ·2001-08-00 ·Pages 927-33

Forbes AJ, Mazur MT, Patel HM, Walsh CT, Kelleher NL

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.

MeSH Terms
Amino Acid Sequence Fourier Analysis Mass Spectrometry/methods Models, Biological Molecular Sequence Data Molecular Weight Peptide Mapping Phenols/analysis,chemistry Proteins/analysis,chemistry Proteome Thiazoles
Chemicals
Phenols Proteins Proteome Thiazoles pyochelin
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Forbes A J
Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School Boston, MA, USA.
Mazur M T
Patel H M
Walsh C T
Kelleher N L
Article Info
Journal
Proteomics
Abbr.
Proteomics
ISSN
1615-9853
Published
2001-08-00
Pages
927-33
Language
English
Region
Germany
NLM ID
101092707
Subset
IM
Grants
NIGMS NIH HHS · GM20011 · United States
NIAID NIH HHS · K22 AI01748 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com