Scripps VIVO scripps research logo

  • Index
  • Log in
  • Home
  • People
  • Organizations
  • Research
  • Events
Search form
As of April 1st VIVO Scientific Profiles will no longer updated for faculty, and the link to VIVO will be removed from the library website. Faculty profile pages will continue to be updated via Interfolio. VIVO will continue being used behind the scenes to update graduate student profiles. Please contact helplib@scripps.edu if you have questions.
How to download citations from VIVO | Alternative profile options

MudPIT: multidimensional protein identification technology

Academic Article
uri icon
  • Overview
  • Identity
  • Additional Document Info
  • View All
scroll to property group menus

Overview

authors

  • Delahunty, C. M.
  • Yates III, John

publication date

  • November 2007

journal

  • Biotechniques  Journal

abstract

  • Large-scale biology emerged out of the efforts to sequence genomes of important organisms. Based on resources created by whole genome sequencing, large-scale analyses of messenger RNA (mRNA) and protein expression are now possible. With the availability of large amounts of genomic sequence information, a convenient method for the identification and analysis of proteins based on proteolytic digestion into peptides emerged. Processes to fragment peptides using collision-activated dissociation (CAD) in tandem mass spectrometers and computer algorithms to match the tandem mass spectra of peptides to sequences in databases enable rapid identification of amino acid sequences, and hence proteins, present in mixtures. The inherent complexity of the peptide mixtures has necessitated improvements in methodology for mass spectrometry (MS) analysis of peptides.

subject areas

  • Chromatography, Liquid
  • HeLa Cells
  • Humans
  • Mass Spectrometry
  • Protein Engineering
  • Proteins
scroll to property group menus

Identity

International Standard Serial Number (ISSN)

  • 0736-6205

PubMed ID

  • 18072585
scroll to property group menus

Additional Document Info

start page

  • 563

end page

  • 567

volume

  • 43

issue

  • 5

©2022 The Scripps Research Institute | Terms of Use | Powered by VIVO

  • About
  • Contact Us
  • Support