BMC Genomics

official impact factor 4.21

Open Access

Gene expression profiling in the striatum of inbred mouse strains with distinct opioid-related phenotypes

Michal Korostynski, Dorota Kaminska-Chowaniec, Marcin Piechota and Ryszard Przewlocki*

BMC Genomics 2006, 7:146 doi:10.1186/1471-2164-7-146

Accesses  

  • Last 30 days: 63 accesses
  • Last 365 days: 446 accesses
  • All time: 3717 accesses

Cited by

BioMed Central: 3 citations

Database   Open Access Highly Accessed

The PhenoGen Informatics website: tools for analyses of complex traits

Sanjiv V Bhave, Cheryl Hornbaker, Tzu L Phang, Laura Saba, Razvan Lapadat, Katherina Kechris, Jeanette Gaydos, Daniel McGoldrick, Andrew Dolbey, Sonia Leach, Brian Soriano, Allison Ellington, Eric Ellington, Kendra Jones, Jonathan Mangion, John K Belknap, Robert W Williams, Lawrence E Hunter, Paula L Hoffman, Boris Tabakoff BMC Genetics 2007, 8:59 (30 August 2007)

PhenoGen Informatics, a new online database, provides access to new tools that can be used to store, integrate and analyze high-throughput data efficiently, including microarray, QTL, genotype and phenotype data for complex traits.

Research   Open Access

Morphine effects on striatal transcriptome in mice

Michal Korostynski, Marcin Piechota, Dorota Kaminska, Wojciech Solecki, Ryszard Przewlocki Genome Biology 2007, 8:R128 (28 June 2007)

Global transcriptional analysis of mouse striata following acute and chronic exposure to morphine reveals multiple physiological factors which may affect opioid-related phenotypes and implicates a number of gene networks, including glucocorticoid receptor regulated genes, in the response to this opioid.

Research article   Open Access

Transcriptional profiling of C57 and DBA strains of mice in the absence and presence of morphine

Dorothy E Grice, Ilkka Reenilä, Pekka T Männistö, Andrew I Brooks, George G Smith, Greg T Golden, Joseph D Buxbaum, Wade H Berrettini BMC Genomics 2007, 8:76 (16 March 2007)