Literature DB >> 22053864

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

Christopher R Kinsinger1, 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.   

Abstract

Policies supporting the rapid and open sharing of proteomic data are being implemented by the leading journals in the field. The proteomics community is taking steps to ensure that data are made publicly accessible and are of high quality, a challenging task that requires the development and deployment of methods for measuring and documenting data quality metrics. On September 18, 2010, the U.S. National Cancer Institute (NCI) convened the "International Workshop on Proteomic Data Quality Metrics" in Sydney, Australia, to identify and address issues facing the development and use of such methods for open access proteomics data. The stakeholders at the workshop enumerated the key principles underlying a framework for data quality assessment in mass spectrometry data that will meet the needs of the research community, journals, funding agencies, and data repositories. Attendees discussed and agreed up on two primary needs for the wide use of quality metrics: (1) an evolving list of comprehensive quality metrics and (2) standards accompanied by software analytics. Attendees stressed the importance of increased education and training programs to promote reliable protocols in proteomics. This workshop report explores the historic precedents, key discussions, and necessary next steps to enhance the quality of open access data. By agreement, this article is published simultaneously in the Journal of Proteome Research, Molecular and Cellular Proteomics, Proteomics, and Proteomics Clinical Applications as a public service to the research community. The peer review process was a coordinated effort conducted by a panel of referees selected by the journals.

Entities:  

Mesh:

Year:  2011        PMID: 22053864      PMCID: PMC3272102          DOI: 10.1021/pr201071t

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


  44 in total

1.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

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.  The need for guidelines in publication of peptide and protein identification data: Working Group on Publication Guidelines for Peptide and Protein Identification Data.

Authors:  Steven Carr; Ruedi Aebersold; Michael Baldwin; Al Burlingame; Karl Clauser; Alexey Nesvizhskii
Journal:  Mol Cell Proteomics       Date:  2004-04-09       Impact factor: 5.911

4.  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

5.  Reporting protein identification data: the next generation of guidelines.

Authors:  Ralph A Bradshaw; Alma L Burlingame; Steven Carr; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2006-05       Impact factor: 5.911

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.  Colander: a probability-based support vector machine algorithm for automatic screening for CID spectra of phosphopeptides prior to database search.

Authors:  Bingwen Lu; Cristian I Ruse; John R Yates
Journal:  J Proteome Res       Date:  2008-06-19       Impact factor: 4.466

8.  Multi-site assessment of the precision and reproducibility of multiple reaction monitoring-based measurements of proteins in plasma.

Authors:  Terri A Addona; Susan E Abbatiello; Birgit Schilling; Steven J Skates; D R Mani; David M Bunk; Clifford H Spiegelman; Lisa J Zimmerman; Amy-Joan L Ham; Hasmik Keshishian; Steven C Hall; Simon Allen; Ronald K Blackman; Christoph H Borchers; Charles Buck; Helene L Cardasis; Michael P Cusack; Nathan G Dodder; Bradford W Gibson; Jason M Held; Tara Hiltke; Angela Jackson; Eric B Johansen; Christopher R Kinsinger; Jing Li; Mehdi Mesri; Thomas A Neubert; Richard K Niles; Trenton C Pulsipher; David Ransohoff; Henry Rodriguez; Paul A Rudnick; Derek Smith; David L Tabb; Tony J Tegeler; Asokan M Variyath; Lorenzo J Vega-Montoto; Asa Wahlander; Sofia Waldemarson; Mu Wang; Jeffrey R Whiteaker; Lei Zhao; N Leigh Anderson; Susan J Fisher; Daniel C Liebler; Amanda G Paulovich; Fred E Regnier; Paul Tempst; Steven A Carr
Journal:  Nat Biotechnol       Date:  2009-06-28       Impact factor: 54.908

9.  Automated detection of inaccurate and imprecise transitions in peptide quantification by multiple reaction monitoring mass spectrometry.

Authors:  Susan E Abbatiello; D R Mani; Hasmik Keshishian; Steven A Carr
Journal:  Clin Chem       Date:  2009-12-18       Impact factor: 8.327

10.  The Proteomics Identifications database: 2010 update.

Authors:  Juan Antonio Vizcaíno; Richard Côté; Florian Reisinger; Harald Barsnes; Joseph M Foster; Jonathan Rameseder; Henning Hermjakob; Lennart Martens
Journal:  Nucleic Acids Res       Date:  2009-11-11       Impact factor: 16.971

View more
  11 in total

Review 1.  Guidelines for the design, analysis and interpretation of 'omics' data: focus on human endometrium.

Authors:  Signe Altmäe; Francisco J Esteban; Anneli Stavreus-Evers; Carlos Simón; Linda Giudice; Bruce A Lessey; Jose A Horcajadas; Nick S Macklon; Thomas D'Hooghe; Cristina Campoy; Bart C Fauser; Lois A Salamonsen; Andres Salumets
Journal:  Hum Reprod Update       Date:  2013-09-29       Impact factor: 15.610

2.  Characterization of Wax Esters by Electrospray Ionization Tandem Mass Spectrometry: Double Bond Effect and Unusual Product Ions.

Authors:  Jianzhong Chen; Kari B Green; Kelly K Nichols
Journal:  Lipids       Date:  2015-07-16       Impact factor: 1.880

Review 3.  Protein analysis by shotgun/bottom-up proteomics.

Authors:  Yaoyang Zhang; Bryan R Fonslow; Bing Shan; Moon-Chang Baek; John R Yates
Journal:  Chem Rev       Date:  2013-02-26       Impact factor: 60.622

4.  Comprehensive analysis of protein digestion using six trypsins reveals the origin of trypsin as a significant source of variability in proteomics.

Authors:  Scott J Walmsley; Paul A Rudnick; Yuxue Liang; Qian Dong; Stephen E Stein; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2013-11-14       Impact factor: 4.466

5.  Quality standards in proteomics research facilities: Common standards and quality procedures are essential for proteomics facilities and their users.

Authors:  Cristina Chiva; Teresa Mendes Maia; Christian Panse; Karel Stejskal; Thibaut Douché; Mariette Matondo; Damarys Loew; Dominic Helm; Mandy Rettel; Karl Mechtler; Francis Impens; Paolo Nanni; Anna Shevchenko; Eduard Sabidó
Journal:  EMBO Rep       Date:  2021-05-19       Impact factor: 8.807

6.  SIMPATIQCO: a server-based software suite which facilitates monitoring the time course of LC-MS performance metrics on Orbitrap instruments.

Authors:  Peter Pichler; Michael Mazanek; Frederico Dusberger; Lisa Weilnböck; Christian G Huber; Christoph Stingl; Theo M Luider; Werner L Straube; Thomas Köcher; Karl Mechtler
Journal:  J Proteome Res       Date:  2012-10-22       Impact factor: 4.466

7.  The mzIdentML data standard for mass spectrometry-based proteomics results.

Authors:  Andrew R Jones; Martin Eisenacher; Gerhard Mayer; Oliver Kohlbacher; Jennifer Siepen; Simon J Hubbard; Julian N Selley; Brian C Searle; James Shofstahl; Sean L Seymour; Randall Julian; Pierre-Alain Binz; Eric W Deutsch; Henning Hermjakob; Florian Reisinger; Johannes Griss; Juan Antonio Vizcaíno; Matthew Chambers; Angel Pizarro; David Creasy
Journal:  Mol Cell Proteomics       Date:  2012-02-27       Impact factor: 5.911

8.  Exploring the human plasma proteome for humoral mediators of remote ischemic preconditioning--a word of caution.

Authors:  Erik Helgeland; Lars Ertesvåg Breivik; Marc Vaudel; Øyvind Sverre Svendsen; Hilde Garberg; Jan Erik Nordrehaug; Frode Steingrimsen Berven; Anne Kristine Jonassen
Journal:  PLoS One       Date:  2014-10-15       Impact factor: 3.240

9.  A rapid methods development workflow for high-throughput quantitative proteomic applications.

Authors:  Yan Chen; Jonathan Vu; Mitchell G Thompson; William A Sharpless; Leanne Jade G Chan; Jennifer W Gin; Jay D Keasling; Paul D Adams; Christopher J Petzold
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

10.  Criteria for the use of omics-based predictors in clinical trials: explanation and elaboration.

Authors:  Lisa M McShane; Margaret M Cavenagh; Tracy G Lively; David A Eberhard; William L Bigbee; P Mickey Williams; Jill P Mesirov; Mei-Yin C Polley; Kelly Y Kim; James V Tricoli; Jeremy M G Taylor; Deborah J Shuman; Richard M Simon; James H Doroshow; Barbara A Conley
Journal:  BMC Med       Date:  2013-10-17       Impact factor: 11.150

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.