WWW.JNEUROSCI.ORG
-
The Journal of Neuroscience
 QUICK SEARCH:   [advanced]


     
-


HOME
  |  
SEARCH  |   ARCHIVE  |   SUBSCRIBE  |   CONTACT  |   HELP

The Journal of Neuroscience, June 1, 2003, ():

This Article
Right arrow Abstract
Right arrow Full Text
Right arrow Submit an eLetter
Services
Right arrow Email this article to a friend
Right arrow Alert me to new issues of the journal
Right arrow reprints & permissions

Selective Breeding, Quantitative Trait Locus Analysis, and Gene Arrays Identify Candidate Genes for Complex Drug-Related Behaviors
J. Neurosci. Tabakoff et al. 23 (11): 4491.

HTML Page - index.htslp

Files in this Data Supplement:

  • Supplemental Figure 1 - Reproducibility of microarray data. A correlation is shown between gene expression data obtained with RNA extracted from whole brain of two individual HAFT mice (4252 transcripts, which is the number called “present” on all arrays hybridized with RNA from HAFT mouse brain) or two individual LAFT mice (4316 transcripts, the number called “present” on all arrays hybridized with RNA from LAFT mouse brain). In each case, RNA from each mouse brain was hybridized with an individual Affymetrix MGU74A v.1. array. Similar correlations were found from comparisons among data obtained with 5 individual HAFT and LAFT mice, hybridized on separate arrays.
  • Supplemental Figure 2 - Protein levels of differentially expressed transcripts. Immunoblotting was performed on proteins extracted from whole brains of HAFT and LAFT mice (n=6-10) as previously described (Snell et al., Mol. Brain Res. 40:71-78, 1996). Levels of GluRd2 and GluR1 proteins were lower in brains of LAFT mice, paralleling the differences observed in gene expression.




This Article
Right arrow Abstract
Right arrow Full Text
Right arrow Submit an eLetter
Services
Right arrow Email this article to a friend
Right arrow Alert me to new issues of the journal
Right arrow reprints & permissions

-
-

Home  |   Search  |   Archive  |   Subscribe  |   Contact  |   Help

-
Copyright 2009 by Society for Neuroscience ONLINE ISSN: 1529-2401
-