Literature DB >> 17442663

Toward a checklist for exchange and interpretation of data from a toxicology study.

Jennifer M Fostel1, Lyle Burgoon, Craig Zwickl, Peter Lord, J Christopher Corton, Pierre R Bushel, Michael Cunningham, Liju Fan, Stephen W Edwards, Susan Hester, James Stevens, Weida Tong, Michael Waters, ChiHae Yang, Raymond Tennant.   

Abstract

Data from toxicology and toxicogenomics studies are valuable, and can be combined for meta-analysis using public data repositories such as Chemical Effects in Biological Systems Knowledgebase, ArrayExpress, and Gene Expression Omnibus. In order to fully utilize the data for secondary analysis, it is necessary to have a description of the study and good annotation of the accompanying data. This study annotation permits sophisticated cross-study comparison and analysis, and allows data from comparable subjects to be identified and fully understood. The Minimal Information About a Microarray Experiment Standard was proposed to permit deposition and sharing of microarray data. We propose the first step toward an analogous standard for a toxicogenomics/toxicology study, by describing a checklist of information that best practices would suggest be included with the study data. When the information in this checklist is deposited together with the study data, the checklist information helps the public explore the study data in context of time, or identify data from similarly treated subjects, and also explore/identify potential sources of experimental variability. The proposed checklist summarizes useful information to include when sharing study data for publication, deposition into a database, or electronic exchange with collaborators. It is not a description of how to carry out an experiment, but a definition of how to describe an experiment. It is anticipated that once a toxicology checklist is accepted and put into use, then toxicology databases can be configured to require and output these fields, making it straightforward to annotate data for interpretation by others.

Mesh:

Year:  2007        PMID: 17442663     DOI: 10.1093/toxsci/kfm090

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  6 in total

1.  How should the completeness and quality of curated nanomaterial data be evaluated?

Authors:  Richard L Marchese Robinson; Iseult Lynch; Willie Peijnenburg; John Rumble; Fred Klaessig; Clarissa Marquardt; Hubert Rauscher; Tomasz Puzyn; Ronit Purian; Christoffer Åberg; Sandra Karcher; Hanne Vriens; Peter Hoet; Mark D Hoover; Christine Ogilvie Hendren; Stacey L Harper
Journal:  Nanoscale       Date:  2016-05-04       Impact factor: 7.790

2.  Data governance in predictive toxicology: A review.

Authors:  Xin Fu; Anna Wojak; Daniel Neagu; Mick Ridley; Kim Travis
Journal:  J Cheminform       Date:  2011-07-13       Impact factor: 5.514

3.  Meeting Report from the Second "Minimum Information for Biological and Biomedical Investigations" (MIBBI) workshop.

Authors:  Carsten Kettner; Dawn Field; Susanna-Assunta Sansone; Chris Taylor; Jan Aerts; Nigel Binns; Andrew Blake; Cedrik M Britten; Ario de Marco; Jennifer Fostel; Pascale Gaudet; Alejandra González-Beltrán; Nigel Hardy; Jan Hellemans; Henning Hermjakob; Nick Juty; Jim Leebens-Mack; Eamonn Maguire; Steffen Neumann; Sandra Orchard; Helen Parkinson; William Piel; Shoba Ranganathan; Philippe Rocca-Serra; Annapaola Santarsiero; David Shotton; Peter Sterk; Andreas Untergasser; Patricia L Whetzel
Journal:  Stand Genomic Sci       Date:  2010-12-25

Review 4.  Enhancing credibility of chemical safety studies: emerging consensus on key assessment criteria.

Authors:  James W Conrad; Richard A Becker
Journal:  Environ Health Perspect       Date:  2010-12-15       Impact factor: 9.031

5.  CEBS--Chemical Effects in Biological Systems: a public data repository integrating study design and toxicity data with microarray and proteomics data.

Authors:  Michael Waters; Stanley Stasiewicz; B Alex Merrick; Kenneth Tomer; Pierre Bushel; Richard Paules; Nancy Stegman; Gerald Nehls; Kenneth J Yost; C Harris Johnson; Scott F Gustafson; Sandhya Xirasagar; Nianqing Xiao; Cheng-Cheng Huang; Paul Boyer; Denny D Chan; Qinyan Pan; Hui Gong; John Taylor; Danielle Choi; Asif Rashid; Ayazaddin Ahmed; Reese Howle; James Selkirk; Raymond Tennant; Jennifer Fostel
Journal:  Nucleic Acids Res       Date:  2007-10-25       Impact factor: 16.971

6.  Systematic Omics Analysis Review (SOAR) tool to support risk assessment.

Authors:  Emma R McConnell; Shannon M Bell; Ila Cote; Rong-Lin Wang; Edward J Perkins; Natàlia Garcia-Reyero; Ping Gong; Lyle D Burgoon
Journal:  PLoS One       Date:  2014-12-22       Impact factor: 3.240

  6 in total

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