Analysis of gene expression profiles from normal and chronic lymphocytic leukemia white blood cells

This project used a bioinformatics approach to identify the genetic differential expression of chronic lymphocytic leukemia (CLL) white blood cells as compared to normal white blood cells. Several public access databases and data mining tools were used to collect these data. The data collected was validated by independent bioinformatics databases and the methodology was supported by previously published “gene chip” differential expression data. This research identifies a pattern of differential gene expression specific to CLL white blood cells that can be used for the early diagnosis of CLL. The study also identifies the probable genetic origin for the low expression of tyrosine kinase and IgM immunoglobulin observed in CLL B-cells. Also presented are genes associated with chromosomal regions previously reported as deleted in a high percentage of CLL cases. These data can be used in further research and for the treatment of CLL.