Literature DB >> 10701260

Automated identification of amino acid sequence variations in proteins by HPLC/microspray tandem mass spectrometry.

C L Gatlin1, J K Eng, S T Cross, J C Detter, J R Yates.   

Abstract

Amino acid sequence variations resulting from single-nucleotide polymorphisms (SNPs) were identified using a novel mass spectrometric method. This method obtains 99+% protein sequence coverage for human hemoglobin in a single LC-microspray tandem mass spectrometry (microLC-MS/MS) experiment. Tandem mass spectrometry data was analyzed using a modified version of the computer program SEQUEST to identify the sequence variations. Conditions of sample preparation, chromatographic separation, and data collection were optimized to correctly identify amino acid changes in six variants of human hemoglobin (Hb C, Hb E, Hb D-Los Angeles, Hb G-Philadelphia, Hb Hope, and Hb S). Hemoglobin proteins were isolated and purified, dehemed, (S)-carboxyami-domethylated, and then subjected to a combination proteolytic digestion to obtain a complex peptide mixture with multiple overlaps in sequence. Reversed-phase chromatographic separation of peptides was achieved on-line with MS utilizing a robust fritless microelectrospray interface. Tandem mass spectrometry was performed on an ion trap mass spectrometer using automated data-dependent MS/MS procedures. Tandem mass spectra were collected from the five most abundant ions in each scan using dynamic and isotopic exclusion to minimize redundancy. The spectra were analyzed by a version of the SEQUEST algorithm modified to identify amino acid substations resulting from SNPs.

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Year:  2000        PMID: 10701260     DOI: 10.1021/ac991025n

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  58 in total

1.  Efficiency of database search for identification of mutated and modified proteins via mass spectrometry.

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2.  Comparing similar spectra: from similarity index to spectral contrast angle.

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3.  Toward a high-throughput approach to quantitative proteomic analysis: expression-dependent protein identification by mass spectrometry.

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Journal:  J Am Soc Mass Spectrom       Date:  2001-12       Impact factor: 3.109

4.  High-Capacity Ion Trap Coupled to a Time-of-Flight Mass Spectrometer for Comprehensive Linked Scans with no Scanning Losses.

Authors:  Sunnie Myung; Herbert Cohen; David Fenyo; Julio C Padovan; Andrew N Krutchinsky; Brian T Chait
Journal:  Int J Mass Spectrom       Date:  2011-03-30       Impact factor: 1.986

5.  Shotgun identification of protein modifications from protein complexes and lens tissue.

Authors:  Michael J MacCoss; W Hayes McDonald; Anita Saraf; Rovshan Sadygov; Judy M Clark; Joseph J Tasto; Kathleen L Gould; Dirk Wolters; Michael Washburn; Avery Weiss; John I Clark; John R Yates
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-11       Impact factor: 11.205

6.  Identification of 2D-gel proteins: a comparison of MALDI/TOF peptide mass mapping to mu LC-ESI tandem mass spectrometry.

Authors:  Hanjo Lim; Jimmy Eng; John R Yates; Sandra L Tollaksen; Carol S Giometti; James F Holden; Michael W W Adams; Claudia I Reich; Gary J Olsen; Lara G Hays
Journal:  J Am Soc Mass Spectrom       Date:  2003-09       Impact factor: 3.109

7.  Detecting low level sequence variants in recombinant monoclonal antibodies.

Authors:  Yi Yang; Alex Strahan; Charlene Li; Amy Shen; Hongbin Liu; Jun Ouyang; Viswanatham Katta; Kathleen Francissen; Boyan Zhang
Journal:  MAbs       Date:  2010-05-06       Impact factor: 5.857

8.  SILACtor: software to enable dynamic SILAC studies.

Authors:  Michael R Hoopmann; Juan D Chavez; James E Bruce
Journal:  Anal Chem       Date:  2011-10-27       Impact factor: 6.986

9.  Response normalized liquid chromatography nanospray ionization mass spectrometry.

Authors:  Ragu Ramanathan; Ruyun Zhong; Neil Blumenkrantz; Swapan K Chowdhury; Kevin B Alton
Journal:  J Am Soc Mass Spectrom       Date:  2007-07-29       Impact factor: 3.109

10.  Proteomic identification of oncogenic chromosomal translocation partners encoding chimeric anaplastic lymphoma kinase fusion proteins.

Authors:  Kojo S J Elenitoba-Johnson; David K Crockett; Jonathan A Schumacher; Stephen D Jenson; Cheryl M Coffin; Alan L Rockwood; Megan S Lim
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-01       Impact factor: 11.205

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