Literature DB >> 19834895

PeptideDepot: flexible relational database for visual analysis of quantitative proteomic data and integration of existing protein information.

Kebing Yu1, Arthur R Salomon.   

Abstract

Recently, dramatic progress has been achieved in expanding the sensitivity, resolution, mass accuracy, and scan rate of mass spectrometers able to fragment and identify peptides through MS/MS. Unfortunately, this enhanced ability to acquire proteomic data has not been accompanied by a concomitant increase in the availability of flexible tools allowing users to rapidly assimilate, explore, and analyze this data and adapt to various experimental workflows with minimal user intervention. Here we fill this critical gap by providing a flexible relational database called PeptideDepot for organization of expansive proteomic data sets, collation of proteomic data with available protein information resources, and visual comparison of multiple quantitative proteomic experiments. Our software design, built upon the synergistic combination of a MySQL database for safe warehousing of proteomic data with a FileMaker-driven graphical user interface for flexible adaptation to diverse workflows, enables proteomic end-users to directly tailor the presentation of proteomic data to the unique analysis requirements of the individual proteomics lab. PeptideDepot may be deployed as an independent software tool or integrated directly with our high throughput autonomous proteomic pipeline used in the automated acquisition and post-acquisition analysis of proteomic data.

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Year:  2009        PMID: 19834895      PMCID: PMC2831646          DOI: 10.1002/pmic.200900119

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  43 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  CDART: protein homology by domain architecture.

Authors:  Lewis Y Geer; Michael Domrachev; David J Lipman; Stephen H Bryant
Journal:  Genome Res       Date:  2002-10       Impact factor: 9.043

3.  Novel linear quadrupole ion trap/FT mass spectrometer: performance characterization and use in the comparative analysis of histone H3 post-translational modifications.

Authors:  John E P Syka; Jarrod A Marto; Dina L Bai; Stevan Horning; Michael W Senko; Jae C Schwartz; Beatrix Ueberheide; Benjamin Garcia; Scott Busby; Tara Muratore; Jeffrey Shabanowitz; Donald F Hunt
Journal:  J Proteome Res       Date:  2004 May-Jun       Impact factor: 4.466

4.  Comparative evaluation of mass spectrometry platforms used in large-scale proteomics investigations.

Authors:  Joshua E Elias; Wilhelm Haas; Brendan K Faherty; Steven P Gygi
Journal:  Nat Methods       Date:  2005-09       Impact factor: 28.547

Review 5.  Informatics solutions for high-throughput proteomics.

Authors:  Thodoros Topaloglou
Journal:  Drug Discov Today       Date:  2006-06       Impact factor: 7.851

Review 6.  The minimum information about a proteomics experiment (MIAPE).

Authors:  Chris F Taylor; Norman W Paton; Kathryn S Lilley; Pierre-Alain Binz; Randall K Julian; Andrew R Jones; Weimin Zhu; Rolf Apweiler; Ruedi Aebersold; Eric W Deutsch; Michael J Dunn; Albert J R Heck; Alexander Leitner; Marcus Macht; Matthias Mann; Lennart Martens; Thomas A Neubert; Scott D Patterson; Peipei Ping; Sean L Seymour; Puneet Souda; Akira Tsugita; Joel Vandekerckhove; Thomas M Vondriska; Julian P Whitelegge; Marc R Wilkins; Ioannnis Xenarios; John R Yates; Henning Hermjakob
Journal:  Nat Biotechnol       Date:  2007-08       Impact factor: 54.908

7.  Global internal standard technology for comparative proteomics.

Authors:  Asish Chakraborty; Fred E Regnier
Journal:  J Chromatogr A       Date:  2002-03-08       Impact factor: 4.759

8.  Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.

Authors:  Jesper V Olsen; Blagoy Blagoev; Florian Gnad; Boris Macek; Chanchal Kumar; Peter Mortensen; Matthias Mann
Journal:  Cell       Date:  2006-11-03       Impact factor: 41.582

9.  Development of human protein reference database as an initial platform for approaching systems biology in humans.

Authors:  Suraj Peri; J Daniel Navarro; Ramars Amanchy; Troels Z Kristiansen; Chandra Kiran Jonnalagadda; Vineeth Surendranath; Vidya Niranjan; Babylakshmi Muthusamy; T K B Gandhi; Mads Gronborg; Nieves Ibarrola; Nandan Deshpande; K Shanker; H N Shivashankar; B P Rashmi; M A Ramya; Zhixing Zhao; K N Chandrika; N Padma; H C Harsha; A J Yatish; M P Kavitha; Minal Menezes; Dipanwita Roy Choudhury; Shubha Suresh; Neelanjana Ghosh; R Saravana; Sreenath Chandran; Subhalakshmi Krishna; Mary Joy; Sanjeev K Anand; V Madavan; Ansamma Joseph; Guang W Wong; William P Schiemann; Stefan N Constantinescu; Lily Huang; Roya Khosravi-Far; Hanno Steen; Muneesh Tewari; Saghi Ghaffari; Gerard C Blobe; Chi V Dang; Joe G N Garcia; Jonathan Pevsner; Ole N Jensen; Peter Roepstorff; Krishna S Deshpande; Arul M Chinnaiyan; Ada Hamosh; Aravinda Chakravarti; Akhilesh Pandey
Journal:  Genome Res       Date:  2003-10       Impact factor: 9.043

10.  Integration with the human genome of peptide sequences obtained by high-throughput mass spectrometry.

Authors:  Frank Desiere; Eric W Deutsch; Alexey I Nesvizhskii; Parag Mallick; Nichole L King; Jimmy K Eng; Alan Aderem; Rose Boyle; Erich Brunner; Samuel Donohoe; Nelson Fausto; Ernst Hafen; Lee Hood; Michael G Katze; Kathleen A Kennedy; Floyd Kregenow; Hookeun Lee; Biaoyang Lin; Dan Martin; Jeffrey A Ranish; David J Rawlings; Lawrence E Samelson; Yuzuru Shiio; Julian D Watts; Bernd Wollscheid; Michael E Wright; Wei Yan; Lihong Yang; Eugene C Yi; Hui Zhang; Ruedi Aebersold
Journal:  Genome Biol       Date:  2004-12-10       Impact factor: 13.583

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  24 in total

1.  Wide-scale quantitative phosphoproteomic analysis reveals that cold treatment of T cells closely mimics soluble antibody stimulation.

Authors:  Qinqin Ji; Arthur R Salomon
Journal:  J Proteome Res       Date:  2015-04-03       Impact factor: 4.466

2.  Highly reproducible improved label-free quantitative analysis of cellular phosphoproteome by optimization of LC-MS/MS gradient and analytical column construction.

Authors:  Nagib Ahsan; Judson Belmont; Zhuo Chen; James G Clifton; Arthur R Salomon
Journal:  J Proteomics       Date:  2017-06-17       Impact factor: 4.044

3.  HTAPP: high-throughput autonomous proteomic pipeline.

Authors:  Kebing Yu; Arthur R Salomon
Journal:  Proteomics       Date:  2010-06       Impact factor: 3.984

4.  Vav1 Regulates T-Cell Activation through a Feedback Mechanism and Crosstalk between the T-Cell Receptor and CD28.

Authors:  Ynes A Helou; Anna P Petrashen; Arthur R Salomon
Journal:  J Proteome Res       Date:  2015-06-16       Impact factor: 4.466

5.  mzResults: an interactive viewer for interrogation and distribution of proteomics results.

Authors:  James T Webber; Manor Askenazi; Jarrod A Marto
Journal:  Mol Cell Proteomics       Date:  2011-01-25       Impact factor: 5.911

6.  The catalytic activity of the kinase ZAP-70 mediates basal signaling and negative feedback of the T cell receptor pathway.

Authors:  Hanna Sjölin Goodfellow; Maria P Frushicheva; Qinqin Ji; Arup K Chakraborty; Arthur Salomon; Arthur Weiss; Debra A Cheng; Theresa A Kadlecek; Aaron J Cantor; John Kuriyan
Journal:  Sci Signal       Date:  2015-05-19       Impact factor: 8.192

7.  SRC homology 2 domain-containing leukocyte phosphoprotein of 76 kDa (SLP-76) N-terminal tyrosine residues regulate a dynamic signaling equilibrium involving feedback of proximal T-cell receptor (TCR) signaling.

Authors:  Qinqin Ji; Yiyuan Ding; Arthur R Salomon
Journal:  Mol Cell Proteomics       Date:  2014-10-14       Impact factor: 5.911

8.  Quantitative Phosphoproteomic Analysis of T-Cell Receptor Signaling.

Authors:  Nagib Ahsan; Arthur R Salomon
Journal:  Methods Mol Biol       Date:  2017

9.  A PLC-γ1 Feedback Pathway Regulates Lck Substrate Phosphorylation at the T-Cell Receptor and SLP-76 Complex.

Authors:  Judson Belmont; Tao Gu; Ashley Mudd; Arthur R Salomon
Journal:  J Proteome Res       Date:  2017-07-06       Impact factor: 4.466

10.  Phosphoproteomic analysis of liver homogenates.

Authors:  Gokhan Demirkan; Arthur R Salomon; Philip A Gruppuso
Journal:  Methods Mol Biol       Date:  2012
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