Literature DB >> 18757209

How much peptide sequence information is contained in ion trap tandem mass spectra?

Jürgen Cox1, Nina C Hubner, Matthias Mann.   

Abstract

Matching peptide tandem mass spectra to their cognate amino acid sequences in databases is a key step in proteomics. It is usually performed by assigning a score to a spectrum-sequence combination. De novo sequencing or partial de novo sequencing is useful for organisms without sequenced genome or for peptides with unexpected modifications. Here we use a very large, high accuracy proteomic dataset to investigate how much peptide sequence information is present in tandem mass spectra generated in a linear ion trap (LTQ). More than 400,000 identified tandem mass spectra from a single human cancer cell line project were assigned to 26,896 distinct peptide sequences. The average absolute fragment mass accuracy is 0.102 Da. There are on average about four complementary b- and y-ions; both series are equally represented but y ions are 2- to 3-fold more intense up to mass 1000. Half of all spectra contain uninterrupted b- or y-ion series of at least six amino acids and combining b- and y-ion information yields on average seven amino acid sequences. These sequences are almost always unique in the human proteome, even without using any precursor or peptide sequence tag information. Thus, optimal de novo sequencing algorithms should be able to obtain substantial sequence information in at least half of all cases.

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Year:  2008        PMID: 18757209     DOI: 10.1016/j.jasms.2008.07.024

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  21 in total

1.  De novo peptide sequencing via tandem mass spectrometry.

Authors:  V Dancík; T A Addona; K R Clauser; J E Vath; P A Pevzner
Journal:  J Comput Biol       Date:  1999 Fall-Winter       Impact factor: 1.479

2.  Prediction of low-energy collision-induced dissociation spectra of peptides.

Authors:  Zhongqi Zhang
Journal:  Anal Chem       Date:  2004-07-15       Impact factor: 6.986

3.  The International Protein Index: an integrated database for proteomics experiments.

Authors:  Paul J Kersey; Jorge Duarte; Allyson Williams; Youla Karavidopoulou; Ewan Birney; Rolf Apweiler
Journal:  Proteomics       Date:  2004-07       Impact factor: 3.984

Review 4.  The ABC's (and XYZ's) of peptide sequencing.

Authors:  Hanno Steen; Matthias Mann
Journal:  Nat Rev Mol Cell Biol       Date:  2004-09       Impact factor: 94.444

Review 5.  An overview of Ensembl.

Authors:  Ewan Birney; T Daniel Andrews; Paul Bevan; Mario Caccamo; Yuan Chen; Laura Clarke; Guy Coates; James Cuff; Val Curwen; Tim Cutts; Thomas Down; Eduardo Eyras; Xose M Fernandez-Suarez; Paul Gane; Brian Gibbins; James Gilbert; Martin Hammond; Hans-Rudolf Hotz; Vivek Iyer; Kerstin Jekosch; Andreas Kahari; Arek Kasprzyk; Damian Keefe; Stephen Keenan; Heikki Lehvaslaiho; Graham McVicker; Craig Melsopp; Patrick Meidl; Emmanuel Mongin; Roger Pettett; Simon Potter; Glenn Proctor; Mark Rae; Steve Searle; Guy Slater; Damian Smedley; James Smith; Will Spooner; Arne Stabenau; James Stalker; Roy Storey; Abel Ureta-Vidal; K Cara Woodwark; Graham Cameron; Richard Durbin; Anthony Cox; Tim Hubbard; Michele Clamp
Journal:  Genome Res       Date:  2004-04-12       Impact factor: 9.043

Review 6.  Large-scale database searching using tandem mass spectra: looking up the answer in the back of the book.

Authors:  Rovshan G Sadygov; Daniel Cociorva; John R Yates
Journal:  Nat Methods       Date:  2004-12       Impact factor: 28.547

Review 7.  Scoring proteomes with proteotypic peptide probes.

Authors:  Bernhard Kuster; Markus Schirle; Parag Mallick; Ruedi Aebersold
Journal:  Nat Rev Mol Cell Biol       Date:  2005-07       Impact factor: 94.444

Review 8.  Is proteomics the new genomics?

Authors:  Jürgen Cox; Matthias Mann
Journal:  Cell       Date:  2007-08-10       Impact factor: 41.582

Review 9.  Collision-induced reporter fragmentations for identification of covalently modified peptides.

Authors:  Chien-Wen Hung; Andreas Schlosser; Junhua Wei; Wolf D Lehmann
Journal:  Anal Bioanal Chem       Date:  2007-08-10       Impact factor: 4.142

10.  Error-tolerant identification of peptides in sequence databases by peptide sequence tags.

Authors:  M Mann; M Wilm
Journal:  Anal Chem       Date:  1994-12-15       Impact factor: 6.986

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  11 in total

1.  Photodissociation of charge tagged peptides.

Authors:  Yi He; Ramakrishnan Parthasarathi; Krishnan Raghavachari; James P Reilly
Journal:  J Am Soc Mass Spectrom       Date:  2012-04-25       Impact factor: 3.109

2.  A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics.

Authors:  Jürgen Cox; Ivan Matic; Maximiliane Hilger; Nagarjuna Nagaraj; Matthias Selbach; Jesper V Olsen; Matthias Mann
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

3.  Computational principles of determining and improving mass precision and accuracy for proteome measurements in an Orbitrap.

Authors:  Jürgen Cox; Matthias Mann
Journal:  J Am Soc Mass Spectrom       Date:  2009-05-20       Impact factor: 3.109

4.  Use of Multiple Ion Fragmentation Methods to Identify Protein Cross-Links and Facilitate Comparison of Data Interpretation Algorithms.

Authors:  Bingqing Zhao; Colin P Reilly; Caroline Davis; Andreas Matouschek; James P Reilly
Journal:  J Proteome Res       Date:  2020-06-04       Impact factor: 4.466

5.  Multiple rereads of single proteins at single-amino acid resolution using nanopores.

Authors:  Henry Brinkerhoff; Albert S W Kang; Jingqian Liu; Aleksei Aksimentiev; Cees Dekker
Journal:  Science       Date:  2021-11-04       Impact factor: 47.728

6.  In-depth analysis of the chicken egg white proteome using an LTQ Orbitrap Velos.

Authors:  Karlheinz Mann; Matthias Mann
Journal:  Proteome Sci       Date:  2011-02-07       Impact factor: 2.480

7.  The Impact II, a Very High-Resolution Quadrupole Time-of-Flight Instrument (QTOF) for Deep Shotgun Proteomics.

Authors:  Scarlet Beck; Annette Michalski; Oliver Raether; Markus Lubeck; Stephanie Kaspar; Niels Goedecke; Carsten Baessmann; Daniel Hornburg; Florian Meier; Igor Paron; Nils A Kulak; Juergen Cox; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2015-05-19       Impact factor: 5.911

8.  A probabilistic framework for peptide and protein quantification from data-dependent and data-independent LC-MS proteomics experiments.

Authors:  Keith Richardson; Richard Denny; Chris Hughes; John Skilling; Jacek Sikora; Michał Dadlez; Angel Manteca; Hye Ryung Jung; Ole Nørregaard Jensen; Virginie Redeker; Ronald Melki; James I Langridge; Johannes P C Vissers
Journal:  OMICS       Date:  2012-08-07

9.  Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ.

Authors:  Jürgen Cox; Marco Y Hein; Christian A Luber; Igor Paron; Nagarjuna Nagaraj; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2014-06-17       Impact factor: 5.911

10.  Analysis of the tryptic search space in UniProt databases.

Authors:  Emanuele Alpi; Johannes Griss; Alan Wilter Sousa da Silva; Benoit Bely; Ricardo Antunes; Hermann Zellner; Daniel Ríos; Claire O'Donovan; Juan Antonio Vizcaíno; Maria J Martin
Journal:  Proteomics       Date:  2014-12-03       Impact factor: 3.984

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