Using microarrays to detect changes in host gene expression in BLV-infected cells

Everts Robin E., Peled Jonathan U., Band Mark R., Lewin Harris A.. 2002. Using microarrays to detect changes in host gene expression in BLV-infected cells. In : Second international symposium on Candidate Genes for Animal Health (C.G.A.H), Montpellier, France, August 16-18th 2002 : abstracts. CIRAD, INRA. Montpellier : CIRAD, Résumé, 1 p. International Symposium on Candidate Genes for Animal Health. 2, Montpellier, France, 16 August 2002/18 August 2002.

Paper without proceedings
Full text not available from this repository.

Additional Information : Session 1 : Present and future strategies and tools of the candidate gene approach

Abstract : A 7653-element cDNA microarray was used to investigate the effects of bovine leukemia virus (BLV) infection on host gene expression. Transcription profiling was performed on the uninfected B-lymphocyte cell line BL30 and its infected, genetically identical daughter cell line BL3*. A standard RNA hybridization control was developed that consists of RNA extracted from 3 cell lines and brain tissue from 3 heifers. The reference RNA hybridizes to ~90% of the spots on the array. The sequences on the array were derived primarily from a normalized and subtracted cattle placenta cDNA library. Annotation was based on similarity searches using BLASTN and TBLASTX against the human UniGene database. Of the 7653 sequences, 6039 had an expectation (e) value better than e-5 with at least one sequence in a UniGene cluster. GeneOntology (GO) terms were parsed from LocusLink and putative functions were assigned to a significant fraction of the genes on the array. Approximately 170 genes were upregulated and 100 genes were downregulated in BL3* as compared to BL30. BLV infection was associated with decreased transcript levels of 23/46 genes encoding ribosomal proteins suggesting a negative effect on protein synthesis. By contrast 10 transcription factors and many genes associated with cell cycle and cell proliferation were upregulated in BL3*. These results demonstrate the power of microarray analysis for studying the effects of retrovirus infection on host gene expression. (Texte intégral)

Mots-clés Agrovoc : Expression des gènes, Cellule, Analyse biologique, Biologie moléculaire

Classification Agris : L10 - Animal genetics and breeding

Auteurs et affiliations

  • Everts Robin E., University of Illinois (USA)
  • Peled Jonathan U., University of Illinois (USA)
  • Band Mark R., W.M. Keck Center for Comparative and Functional Genomics (USA)
  • Lewin Harris A., W.M. Keck Center for Comparative and Functional Genomics (USA)

Autres liens de la publication

Source : Cirad - Agritrop (

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2019-10-06 ]