Literature DB >> 18428787

Using ProSight PTM and related tools for targeted protein identification and characterization with high mass accuracy tandem MS data.

Richard D Leduc1, Neil L Kelleher.   

Abstract

ProSight PTM v2.0, neuroProSight, and the Sequence Gazer allow the identification and characterization of proteins from high mass accuracy tandem mass spectrometric data of intact proteins and large peptides. Input data consists of one or more neutral precursor ion masses and a set of neutral b/y or c/z(.) fragment ions masses. This data is compared against "shotgun annotated" proteome databases or known protein sequences. With these tools it is possible to not only identify unknown proteins, but to determine the location of post-translational modifications (PTM) with 100% sequence coverage. Collectively, the tools create a search environment that allows five different search modes, including absolute mass and sequence tag searching, which are conveniently employed via a graphical user interface. Data management and chemical noise reduction tools are also available. These tools provide a complete environment for the identification and characterization of proteins from high resolution tandem mass spectrometry of intact proteins and large peptides. Copyright 2007 by John Wiley & Sons, Inc.

Mesh:

Year:  2007        PMID: 18428787     DOI: 10.1002/0471250953.bi1306s19

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  25 in total

1.  A comprehensive pipeline for translational top-down proteomics from a single blood draw.

Authors:  Timothy K Toby; Luca Fornelli; Kristina Srzentić; Caroline J DeHart; Josh Levitsky; John Friedewald; Neil L Kelleher
Journal:  Nat Protoc       Date:  2019-01       Impact factor: 13.491

2.  Mapping a noncovalent protein-peptide interface by top-down FTICR mass spectrometry using electron capture dissociation.

Authors:  David J Clarke; Euan Murray; Ted Hupp; C Logan Mackay; Pat R R Langridge-Smith
Journal:  J Am Soc Mass Spectrom       Date:  2011-05-11       Impact factor: 3.109

3.  Precision proteomics: the case for high resolution and high mass accuracy.

Authors:  Matthias Mann; Neil L Kelleher
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-25       Impact factor: 11.205

4.  What does the future hold for Top Down mass spectrometry?

Authors:  Benjamin A Garcia
Journal:  J Am Soc Mass Spectrom       Date:  2009-10-29       Impact factor: 3.109

5.  Endogenous peptide discovery of the rat circadian clock: a focused study of the suprachiasmatic nucleus by ultrahigh performance tandem mass spectrometry.

Authors:  Ji Eun Lee; Norman Atkins; Nathan G Hatcher; Leonid Zamdborg; Martha U Gillette; Jonathan V Sweedler; Neil L Kelleher
Journal:  Mol Cell Proteomics       Date:  2009-11-10       Impact factor: 5.911

6.  Accurate Estimation of Context-Dependent False Discovery Rates in Top-Down Proteomics.

Authors:  Richard D LeDuc; Ryan T Fellers; Bryan P Early; Joseph B Greer; Daniel P Shams; Paul M Thomas; Neil L Kelleher
Journal:  Mol Cell Proteomics       Date:  2019-01-15       Impact factor: 5.911

7.  Top Down Proteomics Reveals Mature Proteoforms Expressed in Subcellular Fractions of the Echinococcus granulosus Preadult Stage.

Authors:  Karina R Lorenzatto; Kyunggon Kim; Ioanna Ntai; Gabriela P Paludo; Jeferson Camargo de Lima; Paul M Thomas; Neil L Kelleher; Henrique B Ferreira
Journal:  J Proteome Res       Date:  2015-10-28       Impact factor: 4.466

8.  Tandem mass spectrometry with ultrahigh mass accuracy clarifies peptide identification by database retrieval.

Authors:  Michael T Boyne; Benjamin A Garcia; Mingxi Li; Leonid Zamdborg; Craig D Wenger; Shannee Babai; Neil L Kelleher
Journal:  J Proteome Res       Date:  2009-01       Impact factor: 4.466

Review 9.  Middle-Down and Top-Down Mass Spectrometric Analysis of Co-occurring Histone Modifications.

Authors:  Rosalynn C Molden; Benjamin A Garcia
Journal:  Curr Protoc Protein Sci       Date:  2014-08-01

10.  Comparative top down proteomics of peripheral blood mononuclear cells from kidney transplant recipients with normal kidney biopsies or acute rejection.

Authors:  John P Savaryn; Timothy K Toby; Adam D Catherman; Ryan T Fellers; Richard D LeDuc; Paul M Thomas; John J Friedewald; Daniel R Salomon; Michael M Abecassis; Neil L Kelleher
Journal:  Proteomics       Date:  2016-07       Impact factor: 3.984

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