Literature DB >> 21532010

Discovering mercury protein modifications in whole proteomes using natural isotope distributions observed in liquid chromatography-tandem mass spectrometry.

Benjamin J Polacco1, Samuel O Purvine, Erika M Zink, Stephen P Lavoie, Mary S Lipton, Anne O Summers, Susan M Miller.   

Abstract

The identification of peptides that result from post-translational modifications is critical for understanding normal pathways of cellular regulation as well as identifying damage from, or exposures to xenobiotics, i.e. the exposome. However, because of their low abundance in proteomes, effective detection of modified peptides by mass spectrometry (MS) typically requires enrichment to eliminate false identifications. We present a new method for confidently identifying peptides with mercury (Hg)-containing adducts that is based on the influence of mercury's seven stable isotopes on peptide isotope distributions detected by high-resolution MS. Using a pure protein and E. coli cultures exposed to phenyl mercuric acetate, we show the pattern of peak heights in isotope distributions from primary MS single scans efficiently identified Hg adducts in data from chromatographic separation coupled with tandem mass spectrometry with sensitivity and specificity greater than 90%. Isotope distributions are independent of peptide identifications based on peptide fragmentation (e.g. by SEQUEST), so both methods can be combined to eliminate false positives. Summing peptide isotope distributions across multiple scans improved specificity to 99.4% and sensitivity above 95%, affording identification of an unexpected Hg modification. We also illustrate the theoretical applicability of the method for detection of several less common elements including the essential element, selenium, as selenocysteine in peptides.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21532010      PMCID: PMC3149085          DOI: 10.1074/mcp.M110.004853

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  30 in total

1.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

2.  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

3.  Options and considerations when selecting a quantitative proteomics strategy.

Authors:  Bruno Domon; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2010-07-09       Impact factor: 54.908

4.  Efficient calculation of accurate masses of isotopic peaks.

Authors:  Alan L Rockwood; Perttu Haimi
Journal:  J Am Soc Mass Spectrom       Date:  2006-02-03       Impact factor: 3.109

Review 5.  Analysis of posttranslational modifications exemplified using protein kinase A.

Authors:  Frank Gesellchen; Oliver Bertinetti; Friedrich W Herberg
Journal:  Biochim Biophys Acta       Date:  2006-10-07

6.  Counting sulfhydryls and disulfide bonds in peptides and proteins using mercurial ions as an MS-tag.

Authors:  Yifei Guo; Liqin Chen; Limin Yang; Qiuquan Wang
Journal:  J Am Soc Mass Spectrom       Date:  2008-05-08       Impact factor: 3.109

7.  Determination of monoisotopic masses and ion populations for large biomolecules from resolved isotopic distributions.

Authors:  M W Senko; S C Beu; F W McLaffertycor
Journal:  J Am Soc Mass Spectrom       Date:  1995-04       Impact factor: 3.109

Review 8.  Mass spectrometry for proteomics.

Authors:  Xuemei Han; Aaron Aslanian; John R Yates
Journal:  Curr Opin Chem Biol       Date:  2008-10       Impact factor: 8.822

9.  Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data.

Authors:  Navdeep Jaitly; Anoop Mayampurath; Kyle Littlefield; Joshua N Adkins; Gordon A Anderson; Richard D Smith
Journal:  BMC Bioinformatics       Date:  2009-03-17       Impact factor: 3.169

10.  Molecular characterization of homo- and heterodimeric mercury(II)-bis-thiolates of some biologically relevant thiols by electrospray ionization and triple quadrupole tandem mass spectrometry.

Authors:  Federico Maria Rubino; Cinzia Verduci; Rosario Giampiccolo; Salvatore Pulvirenti; Gabri Brambilla; Antonio Colombi
Journal:  J Am Soc Mass Spectrom       Date:  2004-03       Impact factor: 3.262

View more
  6 in total

1.  Organic and inorganic mercurials have distinct effects on cellular thiols, metal homeostasis, and Fe-binding proteins in Escherichia coli.

Authors:  Stephen P LaVoie; Daphne T Mapolelo; Darin M Cowart; Benjamin J Polacco; Michael K Johnson; Robert A Scott; Susan M Miller; Anne O Summers
Journal:  J Biol Inorg Chem       Date:  2015-10-26       Impact factor: 3.358

2.  Molecular Isotopic Distribution Analysis (MIDAs) with adjustable mass accuracy.

Authors:  Gelio Alves; Aleksey Y Ogurtsov; Yi-Kuo Yu
Journal:  J Am Soc Mass Spectrom       Date:  2013-11-20       Impact factor: 3.109

3.  Transcriptional responses of Escherichia coli during recovery from inorganic or organic mercury exposure.

Authors:  Stephen P LaVoie; Anne O Summers
Journal:  BMC Genomics       Date:  2018-01-16       Impact factor: 3.969

Review 4.  Infectome: a platform to trace infectious triggers of autoimmunity.

Authors:  Dimitrios P Bogdanos; Daniel S Smyk; Pietro Invernizzi; Eirini I Rigopoulou; Miri Blank; Shideh Pouria; Yehuda Shoenfeld
Journal:  Autoimmun Rev       Date:  2012-12-22       Impact factor: 9.754

Review 5.  Tracing environmental markers of autoimmunity: introducing the infectome.

Authors:  Dimitrios P Bogdanos; Daniel S Smyk; Pietro Invernizzi; Eirini I Rigopoulou; Miri Blank; Lazaros Sakkas; Shideh Pouria; Yehuda Shoenfeld
Journal:  Immunol Res       Date:  2013-07       Impact factor: 2.829

6.  Analysis of the Mercury Distribution in Blood as a Potential Tool for Exposure Assessment - Results from Two Artisanal and Small-Scale Gold Mining Areas in Zimbabwe.

Authors:  Anna-Maria Wahl; Stephan Bose-O'Reilly; Viola Mambrey; James P K Rooney; Dennis Shoko; Dingani Moyo; Shamiso Muteti-Fana; Nadine Steckling-Muschack; Stefan Rakete
Journal:  Biol Trace Elem Res       Date:  2021-04-23       Impact factor: 3.738

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.