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Gene expression data from chronic lymphocytic leukemia samples

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NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE29605
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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.
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2019-03-25
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