Literature DB >> 22236120

Mining PeptideAtlas for biomarkers and therapeutics in human disease.

Sarah Killcoyne1, Eric W Deutsch, John Boyle.   

Abstract

Mass spectrometry information has long offered the potential of discovering biomarkers that would enable clinicians to diagnose disease, and treat it with targeted therapies. PeptideAtlas currently provides access to large-scale spectra data and identification information. This data, and the generation of targeted peptide information, represents the first step in the process of locating disease biomarkers. Reaching the goal of clinical proteomics requires that this data be integrated with additional information from disease literature and genomic studies. Here we describe PeptideAtlas and associated methods for mining the data, as well as the software tools necessary to support large-scale integration and mining.

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Year:  2012        PMID: 22236120      PMCID: PMC4361040          DOI: 10.2174/138161212799277833

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  16 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.  Cytoscape: a software environment for integrated models of biomolecular interaction networks.

Authors:  Paul Shannon; Andrew Markiel; Owen Ozier; Nitin S Baliga; Jonathan T Wang; Daniel Ramage; Nada Amin; Benno Schwikowski; Trey Ideker
Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

3.  TANDEM: matching proteins with tandem mass spectra.

Authors:  Robertson Craig; Ronald C Beavis
Journal:  Bioinformatics       Date:  2004-02-19       Impact factor: 6.937

4.  Parallel tandem: a program for parallel processing of tandem mass spectra using PVM or MPI and X!Tandem.

Authors:  Dexter T Duncan; Robertson Craig; Andrew J Link
Journal:  J Proteome Res       Date:  2005 Sep-Oct       Impact factor: 4.466

5.  Development and validation of a spectral library searching method for peptide identification from MS/MS.

Authors:  Henry Lam; Eric W Deutsch; James S Eddes; Jimmy K Eng; Nichole King; Stephen E Stein; Ruedi Aebersold
Journal:  Proteomics       Date:  2007-03       Impact factor: 3.984

6.  Use of mass spectrometry to identify protein biomarkers of disease severity in the synovial fluid and serum of patients with rheumatoid arthritis.

Authors:  Hua Liao; Jiang Wu; Eric Kuhn; Wendy Chin; Betty Chang; Michael D Jones; Steve O'Neil; Karl R Clauser; Johann Karl; Fritz Hasler; Ronenn Roubenoff; Werner Zolg; Brad C Guild
Journal:  Arthritis Rheum       Date:  2004-12

7.  caGrid: design and implementation of the core architecture of the cancer biomedical informatics grid.

Authors:  Joel Saltz; Scott Oster; Shannon Hastings; Stephen Langella; Tahsin Kurc; William Sanchez; Manav Kher; Arumani Manisundaram; Krishnakant Shanbhag; Peter Covitz
Journal:  Bioinformatics       Date:  2006-06-09       Impact factor: 6.937

8.  mspecLINE: bridging knowledge of human disease with the proteome.

Authors:  Jeremy Handcock; Eric W Deutsch; John Boyle
Journal:  BMC Med Genomics       Date:  2010-03-10       Impact factor: 3.063

9.  ATAQS: A computational software tool for high throughput transition optimization and validation for selected reaction monitoring mass spectrometry.

Authors:  Mi-Youn K Brusniak; Sung-Tat Kwok; Mark Christiansen; David Campbell; Lukas Reiter; Paola Picotti; Ulrike Kusebauch; Hector Ramos; Eric W Deutsch; Jingchun Chen; Robert L Moritz; Ruedi Aebersold
Journal:  BMC Bioinformatics       Date:  2011-03-18       Impact factor: 3.307

10.  The PeptideAtlas project.

Authors:  Frank Desiere; Eric W Deutsch; Nichole L King; Alexey I Nesvizhskii; Parag Mallick; Jimmy Eng; Sharon Chen; James Eddes; Sandra N Loevenich; Ruedi Aebersold
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

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  1 in total

1.  An evolving computational platform for biological mass spectrometry: workflows, statistics and data mining with MASSyPup64.

Authors:  Robert Winkler
Journal:  PeerJ       Date:  2015-11-17       Impact factor: 2.984

  1 in total

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