Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Transcription profiling of human SVG-A glial cells and SVGR2 glial cells


ABSTRACT: SVGR2 cells are glial cells which are derived from SVG-A cells. They were created by subjecting SVG-A cells to multiple rounds of lytic infection by the human polyomavirus JCV. SVGR2 cells are the cells that survived this process and are resistant to JCV infection. This experiment was designed to identify gene expression differences that may be responsible for SVGR2 resistance to JCV. Experiment Overall Design: SVG-A and SVGR2 cells are transformed cell lines. To eliminate gene expression differences that may have occurred due to genetic instability of these cell lines three subclones of each of the cell lines were created and used as a triplicate in the comparison. Total RNA was extracted from cells that had been left at 100% confluency for one day using the Qiagen RNeasy kit. cDNA was hybridized to the Affymetrix Human GeneChips U133A or U133B according to Affymetrix gudielines.

ORGANISM(S): Homo sapiens

SUBMITTER: Kate Manley 

PROVIDER: E-GEOD-7819 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Microarray analysis of glial cells resistant to JCV infection suggests a correlation between viral infection and inflammatory cytokine gene expression.

Manley Kate K   Gee Gretchen V GV   Simkevich Carl P CP   Sedivy John M JM   Atwood Walter J WJ  

Virology 20070606 2


The human polyomavirus, JCV, has a highly restricted tropism and primarily infects glial cells. The mechanisms restricting infection of cells by JCV are poorly understood. Previously we developed and described a glial cell line that was resistant to JCV infection with the aim of using these cells to identify factors that determine JCV tropism. Gene expression profiling of susceptible and resistant glial cells revealed a direct correlation between the expression of inflammatory cytokines and susc  ...[more]

Similar Datasets

2007-05-25 | GSE7819 | GEO
2013-10-17 | E-GEOD-45639 | biostudies-arrayexpress
2023-08-28 | PXD044144 | Pride
2013-10-17 | GSE45639 | GEO
2019-08-15 | GSE135833 | GEO
2023-08-28 | PXD044784 | Pride
2021-04-26 | GSE173342 | GEO
2014-01-01 | E-GEOD-51660 | biostudies-arrayexpress
2012-10-01 | E-GEOD-40008 | biostudies-arrayexpress
2015-05-29 | GSE69314 | GEO