Literature DB >> 12505704

Gene expression profiling: methodological challenges, results, and prospects for addiction research.

Jonathan D Pollock1.   

Abstract

This review describes the current methods used to profile gene expression. These methods include microarrays, spotted arrays, serial analysis of gene expression (SAGE), and massive parallel signature sequencing (MPSS). Methodological and statistical problems in interpreting microarray and spotted array experiments are also discussed. Methods and formats such as minimum information about microarray experiments (MIAME) needed to share gene expression data are described. The last part of the review provides an overview of the application of gene-expression profiling technology to substance abuse research and discusses future directions.

Mesh:

Year:  2002        PMID: 12505704     DOI: 10.1016/s0009-3084(02)00160-3

Source DB:  PubMed          Journal:  Chem Phys Lipids        ISSN: 0009-3084            Impact factor:   3.329


  8 in total

Review 1.  Toxicogenomics in drug discovery and drug development: potential applications and future challenges.

Authors:  Tin Oo Khor; Sherif Ibrahim; Ah-Ng Tony Kong
Journal:  Pharm Res       Date:  2006-08       Impact factor: 4.200

Review 2.  Opioid receptors: from binding sites to visible molecules in vivo.

Authors:  Brigitte L Kieffer; Christopher J Evans
Journal:  Neuropharmacology       Date:  2008-08-05       Impact factor: 5.250

Review 3.  Characterizing intercellular signaling peptides in drug addiction.

Authors:  Elena V Romanova; Nathan G Hatcher; Stanislav S Rubakhin; Jonathan V Sweedler
Journal:  Neuropharmacology       Date:  2008-08-03       Impact factor: 5.250

Review 4.  Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential.

Authors:  Claudia Cava; Gloria Bertoli; Isabella Castiglioni
Journal:  BMC Syst Biol       Date:  2015-09-21

5.  A score system for quality evaluation of RNA sequence tags: an improvement for gene expression profiling.

Authors:  Daniel G Pinheiro; Pedro A F Galante; Sandro J de Souza; Marco A Zago; Wilson A Silva
Journal:  BMC Bioinformatics       Date:  2009-06-06       Impact factor: 3.169

6.  Effect of RNA quality on transcript intensity levels in microarray analysis of human post-mortem brain tissues.

Authors:  Tatiana Popova; Detlev Mennerich; Andreas Weith; Karsten Quast
Journal:  BMC Genomics       Date:  2008-02-25       Impact factor: 3.969

7.  Global expression analysis of nucleotide binding site-leucine rich repeat-encoding and related genes in Arabidopsis.

Authors:  Xiaoping Tan; Blake C Meyers; Alexander Kozik; Marilyn A L West; Michele Morgante; Dina A St Clair; Andrew F Bent; Richard W Michelmore
Journal:  BMC Plant Biol       Date:  2007-10-23       Impact factor: 4.215

8.  Microarray analysis of gene expression during the cell cycle.

Authors:  Stephen Cooper; Kerby Shedden
Journal:  Cell Chromosome       Date:  2003-09-19
  8 in total

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