Literature DB >> 16400714

Guidelines for the next 10 years of proteomics.

Marc R Wilkins1, Ron D Appel, Jennifer E Van Eyk, Maxey C M Chung, Angelika Görg, Michael Hecker, Lukas A Huber, Hanno Langen, Andrew J Link, Young-Ki Paik, Scott D Patterson, Stephen R Pennington, Thierry Rabilloud, Richard J Simpson, Walter Weiss, Michael J Dunn.   

Abstract

In the last ten years, the field of proteomics has expanded at a rapid rate. A range of exciting new technology has been developed and enthusiastically applied to an enormous variety of biological questions. However, the degree of stringency required in proteomic data generation and analysis appears to have been underestimated. As a result, there are likely to be numerous published findings that are of questionable quality, requiring further confirmation and/or validation. This manuscript outlines a number of key issues in proteomic research, including those associated with experimental design, differential display and biomarker discovery, protein identification and analytical incompleteness. In an effort to set a standard that reflects current thinking on the necessary and desirable characteristics of publishable manuscripts in the field, a minimal set of guidelines for proteomics research is then described. These guidelines will serve as a set of criteria which editors of PROTEOMICS will use for assessment of future submissions to the Journal.

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Year:  2006        PMID: 16400714     DOI: 10.1002/pmic.200500856

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


  57 in total

1.  Proteomic and transcriptomic elucidation of the mutant ralstonia eutropha G+1 with regard to glucose utilization.

Authors:  Matthias Raberg; Katja Peplinski; Silvia Heiss; Armin Ehrenreich; Birgit Voigt; Christina Döring; Mechthild Bömeke; Michael Hecker; Alexander Steinbüchel
Journal:  Appl Environ Microbiol       Date:  2011-01-28       Impact factor: 4.792

2.  Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam Principles).

Authors:  Christopher R Kinsinger; James Apffel; Mark Baker; Xiaopeng Bian; Christoph H Borchers; Ralph Bradshaw; Mi-Youn Brusniak; Daniel W Chan; Eric W Deutsch; Bruno Domon; Jeff Gorman; Rudolf Grimm; William Hancock; Henning Hermjakob; David Horn; Christie Hunter; Patrik Kolar; Hans-Joachim Kraus; Hanno Langen; Rune Linding; Robert L Moritz; Gilbert S Omenn; Ron Orlando; Akhilesh Pandey; Peipei Ping; Amir Rahbar; Robert Rivers; Sean L Seymour; Richard J Simpson; Douglas Slotta; Richard D Smith; Stephen E Stein; David L Tabb; Danilo Tagle; John R Yates; Henry Rodriguez
Journal:  Mol Cell Proteomics       Date:  2011-11-03       Impact factor: 5.911

3.  Proteomic technologies for the discovery of type 1 diabetes biomarkers.

Authors:  Wenbo Zhi; Sharad Purohit; Colleen Carey; Meiyao Wang; Jin-Xiong She
Journal:  J Diabetes Sci Technol       Date:  2010-07-01

4.  The pros and cons of peptide-centric proteomics.

Authors:  Mark W Duncan; Ruedi Aebersold; Richard M Caprioli
Journal:  Nat Biotechnol       Date:  2010-07       Impact factor: 54.908

Review 5.  Proteomics of the human placenta: promises and realities.

Authors:  J M Robinson; W E Ackerman; D A Kniss; T Takizawa; D D Vandré
Journal:  Placenta       Date:  2008-01-28       Impact factor: 3.481

Review 6.  Materiomics: biological protein materials, from nano to macro.

Authors:  Steven Cranford; Markus J Buehler
Journal:  Nanotechnol Sci Appl       Date:  2010-11-12

7.  Discovery and validation of serum protein changes in type 1 diabetes patients using high throughput two dimensional liquid chromatography-mass spectrometry and immunoassays.

Authors:  Wenbo Zhi; Ashok Sharma; Sharad Purohit; Eric Miller; Bruce Bode; Stephen W Anderson; John Chip Reed; R Dennis Steed; Leigh Steed; Diane Hopkins; Jin-Xiong She
Journal:  Mol Cell Proteomics       Date:  2011-09-06       Impact factor: 5.911

8.  Integrative analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: a non-linear model to predict abundance of undetected proteins.

Authors:  Wandaliz Torres-García; Weiwen Zhang; George C Runger; Roger H Johnson; Deirdre R Meldrum
Journal:  Bioinformatics       Date:  2009-05-15       Impact factor: 6.937

9.  Endogenous plasma Peptide detection and identification in the rat by a combination of fractionation methods and mass spectrometry.

Authors:  Fabrice Bertile; Flavie Robert; Véronique Delval-Dubois; Sarah Sanglier; Christine Schaeffer; Alain Van Dorsselaer
Journal:  Biomark Insights       Date:  2007-10-09

10.  Enrichment and analysis of secretory lysosomes from lymphocyte populations.

Authors:  Hendrik Schmidt; Christoph Gelhaus; Ralph Lucius; Melanie Nebendahl; Matthias Leippe; Ottmar Janssen
Journal:  BMC Immunol       Date:  2009-07-29       Impact factor: 3.615

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