Literature DB >> 16286538

Microarrays: applications and pitfalls.

Hassan M Fathallah-Shaykh1.   

Abstract

Microarrays are simple assays that measure the relative expression levels of tens of thousands of genes. Excitement about their importance and potential contributions to biology and medicine has been intense. Nonetheless, recent insights into the limitations and pitfalls of microarrays have led to caution about data interpretation. Microarrays are very useful but they are also very misleading; better data analysis tools are needed to improve accuracy.

Mesh：

Year:  2005        PMID： 16286538     DOI： 10.1001/archneur.62.11.1669

Source DB:  PubMed          Journal:  Arch Neurol        ISSN： 0003-9942


  7 in total

Review 1.  Microarrays in Parkinson's disease: a systematic approach.

Authors:  Renee M Miller; Howard J Federoff
Journal:  NeuroRx       Date:  2006-07

2.  Translational gene mapping of cognitive decline.

Authors:  Beth Wilmot; Shannon K McWeeney; Randal R Nixon; Thomas J Montine; Jamie Laut; Christina A Harrington; Jeffrey A Kaye; Patricia L Kramer
Journal:  Neurobiol Aging       Date:  2006-12-14       Impact factor: 4.673

3.  DNA microarrays in herbal drug research.

Authors:  Preeti Chavan; Kalpana Joshi; Bhushan Patwardhan
Journal:  Evid Based Complement Alternat Med       Date:  2006-10-27       Impact factor: 2.629

Review 4.  Animal models of multiple sclerosis--potentials and limitations.

Authors:  Eilhard Mix; Hans Meyer-Rienecker; Hans-Peter Hartung; Uwe K Zettl
Journal:  Prog Neurobiol       Date:  2010-06-15       Impact factor: 11.685

5.  Validating nutrient-related gene expression changes from microarrays using RT(2) PCR-arrays.

Authors:  S Gaj; L Eijssen; R P Mensink; C T A Evelo
Journal:  Genes Nutr       Date:  2008-11-26       Impact factor: 5.523

6.  Base-cleavable microarrays for the characterization of DNA and RNA oligonucleotides synthesized in situ by photolithography.

Authors:  Jory Lietard; Nicole Kretschy; Matej Sack; Alexander S Wahba; Mark M Somoza; Masad J Damha
Journal:  Chem Commun (Camb)       Date:  2014-11-04       Impact factor: 6.222

7.  Validation of reference genes for RT-qPCR analysis of CYP4T expression in crucian carp.

Authors:  Fei Mo; Jie Zhao; Na Liu; Li-Hua Cao; Shan-Xiang Jiang
Journal:  Genet Mol Biol       Date:  2014-09       Impact factor: 1.771
  7 in total

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