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Analysis of prolactin-modulated gene expression profiles during the Nb2 cell cycle using differential screening techniques

Authors :
Bole-Feysot, Christine
Perret, Eric
Roustan, Paul
Bouchard, Brigitte
Kelly, Paul
Autard, Delphine
Endocrinologie moléculaire
Institut National de la Santé et de la Recherche Médicale ( INSERM )
Unité de Biologie Moléculaire du Gène
Sanofi Aventis Recherche
Source :
Genome Biology, Genome Biology, BioMed Central, 2000, 1 (4), pp.RESEARCH0008
Publication Year :
2000
Publisher :
HAL CCSD, 2000.

Abstract

BACKGROUND: Rat Nb2-11C lymphoma cells are dependent on prolactin for proliferation and are widely used to study prolactin signaling pathways. To investigate the role of this hormone in the transcriptional mechanisms that underlie prolactin-stimulated mitogenesis, five different techniques were used to isolate differentially expressed transcripts: mRNA differential display, representational difference analysis (RDA), subtractive suppressive hybridization (SSH), analysis of weakly expressed candidate genes, and differential screening of an organized library. RESULTS: About 70 transcripts were found to be modulated in Nb2 cells following prolactin treatment. Of these, approximately 20 represent unknown genes. All cDNAs were characterized by northern blot analysis and categorized on the basis of their expression profiles and the functions of the known genes. We compared our data with other cell-cycle-regulated transcripts and found several new potential signaling molecules that may be involved in Nb2 cell growth. In addition, abnormalities in the expression patterns of several transcripts were detected in Nb2 cells, including the constitutive expression of the immediate-early gene EGR-1. Finally, we compared the differential screening techniques in terms of sensitivity, efficiency and occurrence of false positives. CONCLUSIONS: Using these techniques to determine which genes are differentially expressed in Nb2 lymphoma cells, we have obtained valuable insight into the potential functions of some of these genes in the cell cycle. Although this information is preliminary, comparison with other eukaryotic models of cell-cycle progression enables identification of expression abnormalities and proteins potentially involved in signal transduction, which could indicate new directions for research.

Details

Language :
English
ISSN :
14656906 and 1474760X
Database :
OpenAIRE
Journal :
Genome Biology, Genome Biology, BioMed Central, 2000, 1 (4), pp.RESEARCH0008
Accession number :
edsair.od......1398..26d1bec3210b4ce97a124788cb84beea