Literature DB >> 20972764

Identification of chemical-adducted proteins in urine by multi-dimensional protein identification technology (LC/LC-MS/MS).

Matthew T Labenski1, Ashley A Fisher, Terrence J Monks, Serrine S Lau.   

Abstract

Recent technological advancements in mass spectrometry facilitate the detection of chemical-induced posttranslational modifications (PTMs) that may alter cell signaling pathways or alter the structure and function of the modified proteins. To identify such protein adducts (Kleiner et al., Chem Res Toxicol 11:1283-1290, 1998), multi-dimensional protein identification technology (MuDPIT) has been utilized. MuDPIT was first described by Link et al. as a new technique useful for protein identification from a complex mixture of proteins (Link et al., Nat Biotechnol 17:676-682, 1999). MuDPIT utilizes two different HPLC columns to further enhance peptide separation, increasing the number of peptide hits and protein coverage. The technology is extremely useful for proteomes, such as the urine proteome, samples from immunoprecipitations, and 1D gel bands resolved from a tissue homogenate or lysate. In particular, MuDPIT has enhanced the field of adduct hunting for adducted peptides, since it is more capable of identifying lesser abundant peptides, such as those that are adducted, than the more standard LC-MS/MS. The site-specific identification of covalently adducted proteins is a prerequisite for understanding the biological significance of chemical-induced PTMs and the subsequent toxicological response they elicit.

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Year:  2011        PMID: 20972764      PMCID: PMC4083842          DOI: 10.1007/978-1-60761-849-2_21

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  16 in total

Review 1.  Peptide and protein de novo sequencing by mass spectrometry.

Authors:  Kenneth G Standing
Journal:  Curr Opin Struct Biol       Date:  2003-10       Impact factor: 6.809

2.  A statistical model for identifying proteins by tandem mass spectrometry.

Authors:  Alexey I Nesvizhskii; Andrew Keller; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2003-09-01       Impact factor: 6.986

3.  Open source system for analyzing, validating, and storing protein identification data.

Authors:  Robertson Craig; John P Cortens; Ronald C Beavis
Journal:  J Proteome Res       Date:  2004 Nov-Dec       Impact factor: 4.466

4.  P-Mod: an algorithm and software to map modifications to peptide sequences using tandem MS data.

Authors:  Beau T Hansen; Sean W Davey; Amy-Joan L Ham; Daniel C Liebler
Journal:  J Proteome Res       Date:  2005 Mar-Apr       Impact factor: 4.466

5.  Proteins identified as targets of the acyl glucuronide metabolite of mycophenolic acid in kidney tissue from mycophenolate mofetil treated rats.

Authors:  Abdul R Asif; Victor W Armstrong; Antje Voland; Eberhard Wieland; Michael Oellerich; Maria Shipkova
Journal:  Biochimie       Date:  2006-10-16       Impact factor: 4.079

6.  Method to correlate tandem mass spectra of modified peptides to amino acid sequences in the protein database.

Authors:  J R Yates; J K Eng; A L McCormack; D Schieltz
Journal:  Anal Chem       Date:  1995-04-15       Impact factor: 6.986

7.  Direct analysis of protein complexes using mass spectrometry.

Authors:  A J Link; J Eng; D M Schieltz; E Carmack; G J Mize; D R Morris; B M Garvik; J R Yates
Journal:  Nat Biotechnol       Date:  1999-07       Impact factor: 54.908

8.  Immunochemical analysis of quinol-thioether-derived covalent protein adducts in rodent species sensitive and resistant to quinol-thioether-mediated nephrotoxicity.

Authors:  H E Kleiner; T W Jones; T J Monks; S S Lau
Journal:  Chem Res Toxicol       Date:  1998-11       Impact factor: 3.739

9.  Mitochondrial stress protein recognition of inactivated dehydrogenases during mammalian cell death.

Authors:  S A Bruschi; J G Lindsay; J W Crabb
Journal:  Proc Natl Acad Sci U S A       Date:  1998-11-10       Impact factor: 11.205

10.  Pulmonary biomarkers based on alterations in protein expression after exposure to arsenic.

Authors:  R Clark Lantz; Brandon J Lynch; Scott Boitano; Gerald S Poplin; Sally Littau; George Tsaprailis; Jefferey L Burgess
Journal:  Environ Health Perspect       Date:  2007-01-08       Impact factor: 9.031

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