Literature DB >> 16280595

Analysis of microarray studies performed in the neurosciences.

Vuokko Aarnio1, Jussi Paananen, Garry Wong.   

Abstract

The application of microarray technology to basic and applied fields of science has been progressing rapidly and broadly since its initial description. The field of neuroscience stands to benefit particularly, as nervous tissue is the most transcriptionally active system within most biological organisms. Moreover, large numbers of cell and animal models have been created that mimic many biochemical and behavioral features of neurological states and diseases. In the present study, data on study designs, tissue sources, technology platforms, bioinformatic tools, and results obtained from 448 published microarray studies were collected. The data were then summarized to determine overall usage statistics of microarrays. Future directions and applications for microarrays in the neurosciences were then inferred from the data analyzed.

Mesh:

Year:  2005        PMID: 16280595     DOI: 10.1385/JMN:27:3:261

Source DB:  PubMed          Journal:  J Mol Neurosci        ISSN: 0895-8696            Impact factor:   3.444


  12 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

Review 2.  Functional genomics approaches to understanding brain disorders.

Authors:  Paul D Shilling; John R Kelsoe
Journal:  Pharmacogenomics       Date:  2002-01       Impact factor: 2.533

Review 3.  Using cDNA microarray to assess Parkinson's disease models and the effects of neuroprotective drugs.

Authors:  Silvia Mandel; Orly Weinreb; Moussa B H Youdim
Journal:  Trends Pharmacol Sci       Date:  2003-04       Impact factor: 14.819

4.  Standards for microarray data.

Authors:  Catherine A Ball; Gavin Sherlock; Helen Parkinson; Philippe Rocca-Sera; Catherine Brooksbank; Helen C Causton; Duccio Cavalieri; Terry Gaasterland; Pascal Hingamp; Frank Holstege; Martin Ringwald; Paul Spellman; Christian J Stoeckert; Jason E Stewart; Ronald Taylor; Alvis Brazma; John Quackenbush
Journal:  Science       Date:  2002-10-18       Impact factor: 47.728

5.  CIBEX: center for information biology gene expression database.

Authors:  Kazuho Ikeo; Jun Ishi-i; Takurou Tamura; Takashi Gojobori; Yoshio Tateno
Journal:  C R Biol       Date:  2003 Oct-Nov       Impact factor: 1.583

Review 6.  DNA arrays and neurobiology--what's new and what's next?

Authors:  Carrolee Barlow; David J Lockhart
Journal:  Curr Opin Neurobiol       Date:  2002-10       Impact factor: 6.627

Review 7.  The ultimate chip shot: can microarray technology deliver for neuroscience?

Authors:  L K Nisenbaum
Journal:  Genes Brain Behav       Date:  2002-01       Impact factor: 3.449

8.  Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes.

Authors:  Jennifer Pittman; Erich Huang; Holly Dressman; Cheng-Fang Horng; Skye H Cheng; Mei-Hua Tsou; Chii-Ming Chen; Andrea Bild; Edwin S Iversen; Andrew T Huang; Joseph R Nevins; Mike West
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-19       Impact factor: 11.205

Review 9.  Progress in the use of microarray technology to study the neurobiology of disease.

Authors:  Károly Mirnics; Jonathan Pevsner
Journal:  Nat Neurosci       Date:  2004-05       Impact factor: 24.884

10.  NCBI GEO: mining millions of expression profiles--database and tools.

Authors:  Tanya Barrett; Tugba O Suzek; Dennis B Troup; Stephen E Wilhite; Wing-Chi Ngau; Pierre Ledoux; Dmitry Rudnev; Alex E Lash; Wataru Fujibuchi; Ron Edgar
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

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  1 in total

Review 1.  Sharing and reusing gene expression profiling data in neuroscience.

Authors:  Xiang Wan; Paul Pavlidis
Journal:  Neuroinformatics       Date:  2007
  1 in total

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