Literature DB >> 17867667

YPED: a web-accessible database system for protein expression analysis.

Mark A Shifman1, Yuli Li, Christopher M Colangelo, Kathryn L Stone, Terence L Wu, Kei-Hoi Cheung, Perry L Miller, Kenneth R Williams.   

Abstract

We have developed an integrated web-accessible software system called the Yale Protein Expression Database (YPED) to address the need for storage, retrieval, and integrated analysis of large amounts of data from high throughput proteomic technologies. YPED is an open source system which integrates gel analysis results with protein identifications from DIGE experiments. The system associates the DIGE gel spots and image, analyzed with DeCyder, with mass spectrometric protein identifications from selected gel spots. Following in gel trypsin digestion, proteins in spots of interest are analyzed using MALDI-TOF/TOF on an AB 4700 or, more recently, on an AB 4800 with protein identifications performed by Mascot in conjunction with the AB GPS Explorer system. In addition to DIGE, YPED currently handles protein identifications from MudPIT, iTRAQ, and ICAT experiments. Sample descriptions are compatible with the evolving MIAPE standards. Tandem MS/MS results from MudPIT, and ICAT analyses are validated with the Trans-Proteomic Pipeline and then stored in the database for viewing and linking to the identified proteins. Researchers can view, subset, and download their data through a secure Web interface that includes a table containing proteins identified, a sample summary, the sample description, and a clickable gel image for DIGE samples. Tools are available to facilitate sample comparison and the viewing of phosphoproteins. A summary report with PANTHER Classification System annotations is also available to aid in biological interpretation of the results. The source code is open-source and is available from http://yped.med.yale.edu/yped_dist.

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Year:  2007        PMID: 17867667      PMCID: PMC3863627          DOI: 10.1021/pr070325f

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  28 in total

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Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

2.  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

3.  Automated statistical analysis of protein abundance ratios from data generated by stable-isotope dilution and tandem mass spectrometry.

Authors:  Xiao-Jun Li; Hui Zhang; Jeffrey A Ranish; Ruedi Aebersold
Journal:  Anal Chem       Date:  2003-12-01       Impact factor: 6.986

Review 4.  Biomedical informatics for proteomics.

Authors:  Mark S Boguski; Martin W McIntosh
Journal:  Nature       Date:  2003-03-13       Impact factor: 49.962

5.  TANDEM: matching proteins with tandem mass spectra.

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

6.  DBParser: web-based software for shotgun proteomic data analyses.

Authors:  Xiaoyu Yang; Vijay Dondeti; Rebecca Dezube; Dawn M Maynard; Lewis Y Geer; Jonathan Epstein; Xiongfong Chen; Sanford P Markey; Jeffrey A Kowalak
Journal:  J Proteome Res       Date:  2004 Sep-Oct       Impact factor: 4.466

7.  Probabilistic enrichment of phosphopeptides by their mass defect.

Authors:  Can Bruce; Mark A Shifman; Perry Miller; Erol E Gulcicek
Journal:  Anal Chem       Date:  2006-07-01       Impact factor: 6.986

8.  Protein labeling by iTRAQ: a new tool for quantitative mass spectrometry in proteome research.

Authors:  Sebastian Wiese; Kai A Reidegeld; Helmut E Meyer; Bettina Warscheid
Journal:  Proteomics       Date:  2007-02       Impact factor: 3.984

9.  X!!Tandem, an improved method for running X!tandem in parallel on collections of commodity computers.

Authors:  Robert D Bjornson; Nicholas J Carriero; Christopher Colangelo; Mark Shifman; Kei-Hoi Cheung; Perry L Miller; Kenneth Williams
Journal:  J Proteome Res       Date:  2007-09-29       Impact factor: 4.466

Review 10.  Exploring the new world of the genome with DNA microarrays.

Authors:  P O Brown; D Botstein
Journal:  Nat Genet       Date:  1999-01       Impact factor: 38.330

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  28 in total

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Journal:  Neuron       Date:  2012-04-12       Impact factor: 17.173

2.  Use of a Targeted Urine Proteome Assay (TUPA) to identify protein biomarkers of delayed recovery after kidney transplant.

Authors:  Kenneth R Williams; Christopher M Colangelo; Lin Hou; Lisa Chung; Justin M Belcher; Thomas Abbott; Isaac E Hall; Hongyu Zhao; Lloyd G Cantley; Chirag R Parikh
Journal:  Proteomics Clin Appl       Date:  2017-03-31       Impact factor: 3.494

3.  Pb2+ tolerance by Frankia sp. strain EAN1pec involves surface-binding.

Authors:  Teal Furnholm; Medhat Rehan; Jessica Wishart; Louis S Tisa
Journal:  Microbiology (Reading)       Date:  2017-04-26       Impact factor: 2.777

4.  Proteomic analysis of host brain components that bind to infectious particles in Creutzfeldt-Jakob disease.

Authors:  Terry Kipkorir; Christopher M Colangelo; Laura Manuelidis
Journal:  Proteomics       Date:  2015-06-09       Impact factor: 3.984

Review 5.  Sperm chromatin: fertile grounds for proteomic discovery of clinical tools.

Authors:  Tammy F Wu; Diana S Chu
Journal:  Mol Cell Proteomics       Date:  2008-05-25       Impact factor: 5.911

Review 6.  Trans-Proteomic Pipeline, a standardized data processing pipeline for large-scale reproducible proteomics informatics.

Authors:  Eric W Deutsch; Luis Mendoza; David Shteynberg; Joseph Slagel; Zhi Sun; Robert L Moritz
Journal:  Proteomics Clin Appl       Date:  2015-04-02       Impact factor: 3.494

7.  Glutathione reaction products with a chemical allergen, methylene-diphenyl diisocyanate, stimulate alternative macrophage activation and eosinophilic airway inflammation.

Authors:  Adam V Wisnewski; Jian Liu; Christopher M Colangelo
Journal:  Chem Res Toxicol       Date:  2015-02-18       Impact factor: 3.739

Review 8.  Current state of the art for enhancing urine biomarker discovery.

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Journal:  Expert Rev Proteomics       Date:  2016-06       Impact factor: 3.940

Review 9.  Review of software tools for design and analysis of large scale MRM proteomic datasets.

Authors:  Christopher M Colangelo; Lisa Chung; Can Bruce; Kei-Hoi Cheung
Journal:  Methods       Date:  2013-05-21       Impact factor: 3.608

10.  iQuantitator: a tool for protein expression inference using iTRAQ.

Authors:  John H Schwacke; Elizabeth G Hill; Edward L Krug; Susana Comte-Walters; Kevin L Schey
Journal:  BMC Bioinformatics       Date:  2009-10-18       Impact factor: 3.169

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