Please note that we have stopped the regular imports of Gene Expression Omnibus (GEO) data into ArrayExpress. This may not be the latest version of this experiment.
E-GEOD-29605 - Gene expression data from chronic lymphocytic leukemia samples
Released on 1 June 2011, last updated on 2 June 2014
MicroRNA-155 is frequently over-expressed in CLL and is associated with worse clinical prognosis. To understand the role of miR-155 in CLL pathogenesis, we used microarrays to identify genes that are expressed at significantly lower levels in CLLs that harbor higher levels of miR-155 expression in an attempt to determine the relevant gene targets of miR-155 in CLL. MiR-155 levels of 38 CLL samples were determined and ranked. 6 CLLs with the highest and 6 CLLs with the lowest miR-155 within the IgVH unmutated group, and 5 CLLs with the highest and 5 CLLs with the lowest miR-155 within the IgVH mutated group were selected for Affymetrix array analyses.
transcription profiling by array
Jan K Davidson-Mocada, Piali Mukherjee, Taotao Zhang, Wayne Tam