Literature DB >> 24350770

MOPED enables discoveries through consistently processed proteomics data.

Roger Higdon, Elizabeth Stewart, Larissa Stanberry, Winston Haynes, John Choiniere, Elizabeth Montague, Nathaniel Anderson, Gregory Yandl, Imre Janko, William Broomall, Simon Fishilevich, Doron Lancet, Natali Kolker, Eugene Kolker.   

Abstract

The Model Organism Protein Expression Database (MOPED, http://moped.proteinspire.org) is an expanding proteomics resource to enable biological and biomedical discoveries. MOPED aggregates simple, standardized and consistently processed summaries of protein expression and metadata from proteomics (mass spectrometry) experiments from human and model organisms (mouse, worm, and yeast). The latest version of MOPED adds new estimates of protein abundance and concentration as well as relative (differential) expression data. MOPED provides a new updated query interface that allows users to explore information by organism, tissue, localization, condition, experiment, or keyword. MOPED supports the Human Proteome Project's efforts to generate chromosome- and diseases-specific proteomes by providing links from proteins to chromosome and disease information as well as many complementary resources. MOPED supports a new omics metadata checklist to harmonize data integration, analysis, and use. MOPED's development is driven by the user community, which spans 90 countries and guides future development that will transform MOPED into a multiomics resource. MOPED encourages users to submit data in a simple format. They can use the metadata checklist to generate a data publication for this submission. As a result, MOPED will provide even greater insights into complex biological processes and systems and enable deeper and more comprehensive biological and biomedical discoveries.

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Year:  2013        PMID: 24350770      PMCID: PMC4039175          DOI: 10.1021/pr400884c

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


  62 in total

1.  Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS.

Authors:  Andrew Thompson; Jürgen Schäfer; Karsten Kuhn; Stefan Kienle; Josef Schwarz; Günter Schmidt; Thomas Neumann; R Johnstone; A Karim A Mohammed; Christian Hamon
Journal:  Anal Chem       Date:  2003-04-15       Impact factor: 6.986

2.  A model for random sampling and estimation of relative protein abundance in shotgun proteomics.

Authors:  Hongbin Liu; Rovshan G Sadygov; John R Yates
Journal:  Anal Chem       Date:  2004-07-15       Impact factor: 6.986

3.  Statistical analysis of global gene expression data: some practical considerations.

Authors:  Ted Holzman; Eugene Kolker
Journal:  Curr Opin Biotechnol       Date:  2004-02       Impact factor: 9.740

4.  Open mass spectrometry search algorithm.

Authors:  Lewis Y Geer; Sanford P Markey; Jeffrey A Kowalak; Lukas Wagner; Ming Xu; Dawn M Maynard; Xiaoyu Yang; Wenyao Shi; Stephen H Bryant
Journal:  J Proteome Res       Date:  2004 Sep-Oct       Impact factor: 4.466

5.  Differential stable isotope labeling of peptides for quantitation and de novo sequence derivation.

Authors:  D R Goodlett; A Keller; J D Watts; R Newitt; E C Yi; S Purvine; J K Eng; P von Haller ; R Aebersold; E Kolker
Journal:  Rapid Commun Mass Spectrom       Date:  2001       Impact factor: 2.419

6.  LIP index for peptide classification using MS/MS and SEQUEST search via logistic regression.

Authors:  Roger Higdon; Natali Kolker; Alex Picone; Gerald van Belle; Eugene Kolker
Journal:  OMICS       Date:  2004

7.  Open source system for analyzing, validating, and storing protein identification data.

Authors:  Robertson Craig; John P Cortens; Ronald C Beavis
Journal:  J Proteome Res       Date:  2004 Nov-Dec       Impact factor: 4.466

8.  Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

Authors:  Shao-En Ong; Blagoy Blagoev; Irina Kratchmarova; Dan Bach Kristensen; Hanno Steen; Akhilesh Pandey; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2002-05       Impact factor: 5.911

9.  PANTHER: a browsable database of gene products organized by biological function, using curated protein family and subfamily classification.

Authors:  Paul D Thomas; Anish Kejariwal; Michael J Campbell; Huaiyu Mi; Karen Diemer; Nan Guo; Istvan Ladunga; Betty Ulitsky-Lazareva; Anushya Muruganujan; Steven Rabkin; Jody A Vandergriff; Olivier Doremieux
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

10.  The Universal Protein Resource (UniProt).

Authors:  Amos Bairoch; Rolf Apweiler; Cathy H Wu; Winona C Barker; Brigitte Boeckmann; Serenella Ferro; Elisabeth Gasteiger; Hongzhan Huang; Rodrigo Lopez; Michele Magrane; Maria J Martin; Darren A Natale; Claire O'Donovan; Nicole Redaschi; Lai-Su L Yeh
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

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  10 in total

1.  Toward more transparent and reproducible omics studies through a common metadata checklist and data publications.

Authors:  Eugene Kolker; Vural Özdemir; Lennart Martens; William Hancock; Gordon Anderson; Nathaniel Anderson; Sukru Aynacioglu; Ancha Baranova; Shawn R Campagna; Rui Chen; John Choiniere; Stephen P Dearth; Wu-Chun Feng; Lynnette Ferguson; Geoffrey Fox; Dmitrij Frishman; Robert Grossman; Allison Heath; Roger Higdon; Mara H Hutz; Imre Janko; Lihua Jiang; Sanjay Joshi; Alexander Kel; Joseph W Kemnitz; Isaac S Kohane; Natali Kolker; Doron Lancet; Elaine Lee; Weizhong Li; Andrey Lisitsa; Adrian Llerena; Courtney Macnealy-Koch; Jean-Claude Marshall; Paola Masuzzo; Amanda May; George Mias; Matthew Monroe; Elizabeth Montague; Sean Mooney; Alexey Nesvizhskii; Santosh Noronha; Gilbert Omenn; Harsha Rajasimha; Preveen Ramamoorthy; Jerry Sheehan; Larry Smarr; Charles V Smith; Todd Smith; Michael Snyder; Srikanth Rapole; Sanjeeva Srivastava; Larissa Stanberry; Elizabeth Stewart; Stefano Toppo; Peter Uetz; Kenneth Verheggen; Brynn H Voy; Louise Warnich; Steven W Wilhelm; Gregory Yandl
Journal:  OMICS       Date:  2014-01

2.  MOPED 2.5--an integrated multi-omics resource: multi-omics profiling expression database now includes transcriptomics data.

Authors:  Elizabeth Montague; Larissa Stanberry; Roger Higdon; Imre Janko; Elaine Lee; Nathaniel Anderson; John Choiniere; Elizabeth Stewart; Gregory Yandl; William Broomall; Natali Kolker; Eugene Kolker
Journal:  OMICS       Date:  2014-06

3.  Comparison of proteomic and metabolomic profiles of mutants of the mitochondrial respiratory chain in Caenorhabditis elegans.

Authors:  P G Morgan; R Higdon; N Kolker; A T Bauman; O Ilkayeva; C B Newgard; E Kolker; L M Steele; M M Sedensky
Journal:  Mitochondrion       Date:  2014-12-19       Impact factor: 4.160

Review 4.  The promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disorders.

Authors:  Roger Higdon; Rachel K Earl; Larissa Stanberry; Caitlin M Hudac; Elizabeth Montague; Elizabeth Stewart; Imre Janko; John Choiniere; William Broomall; Natali Kolker; Raphael A Bernier; Eugene Kolker
Journal:  OMICS       Date:  2015-04

Review 5.  Making proteomics data accessible and reusable: current state of proteomics databases and repositories.

Authors:  Yasset Perez-Riverol; Emanuele Alpi; Rui Wang; Henning Hermjakob; Juan Antonio Vizcaíno
Journal:  Proteomics       Date:  2015-03       Impact factor: 3.984

6.  Beyond protein expression, MOPED goes multi-omics.

Authors:  Elizabeth Montague; Imre Janko; Larissa Stanberry; Elaine Lee; John Choiniere; Nathaniel Anderson; Elizabeth Stewart; William Broomall; Roger Higdon; Natali Kolker; Eugene Kolker
Journal:  Nucleic Acids Res       Date:  2014-11-17       Impact factor: 16.971

Review 7.  Proteomics for systems toxicology.

Authors:  Bjoern Titz; Ashraf Elamin; Florian Martin; Thomas Schneider; Sophie Dijon; Nikolai V Ivanov; Julia Hoeng; Manuel C Peitsch
Journal:  Comput Struct Biotechnol J       Date:  2014-08-27       Impact factor: 7.271

8.  Azaspiracids Increase Mitochondrial Dehydrogenases Activity in Hepatocytes: Involvement of Potassium and Chloride Ions.

Authors:  Marco Pelin; Jane Kilcoyne; Chiara Florio; Philipp Hess; Aurelia Tubaro; Silvio Sosa
Journal:  Mar Drugs       Date:  2019-05-08       Impact factor: 5.118

9.  In Vitro Cell Sensitivity to Palytoxin Correlates with High Gene Expression of the Na+/K+-ATPase β2 Subunit Isoform.

Authors:  Marco Pelin; Gabriele Stocco; Chiara Florio; Silvio Sosa; Aurelia Tubaro
Journal:  Int J Mol Sci       Date:  2020-08-14       Impact factor: 5.923

Review 10.  Proteomics and Metabolomics Approaches towards a Functional Insight onto AUTISM Spectrum Disorders: Phenotype Stratification and Biomarker Discovery.

Authors:  Maria Vittoria Ristori; Stefano Levi Mortera; Valeria Marzano; Silvia Guerrera; Pamela Vernocchi; Gianluca Ianiro; Simone Gardini; Giuliano Torre; Giovanni Valeri; Stefano Vicari; Antonio Gasbarrini; Lorenza Putignani
Journal:  Int J Mol Sci       Date:  2020-08-30       Impact factor: 5.923

  10 in total

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