Project description:Deciphering typical and atypical chronic lymphocytic leukemia genomics. DNA was isolated from peripheral blood leucocyte samples of each patient using the QIAamp kit in order to compare typical and atypical chronic lymphocytic leukemia patients using Agilent Whole Human Genome 44K and 244K microarrays.
Project description:Genomic profiles of CLL (Chronic Lymphocytic Leukemia) patients. 11 CLL patients were selected for detection of genomic aberrations, 8 patients with atypical CLL and 3 patients with typical CLL. Patient's DNA were hybridized against Promega control on Agilent G4410A arrays and scanned with the Agilent G2505B scanner.
Project description:Genomic profiles of CLL (Chronic Lymphocytic Leukemia) patients. 11 CLL patients were selected for detection of genomic aberrations, 8 patients with atypical CLL and 3 patients with typical CLL.
Project description:B cell chronic lymphocytic leukemia - A model with immune response
Seema Nanda 1, , Lisette dePillis 2, and Ami Radunskaya 3,
1.
Tata Institute of Fundamental Research, Centre for Applicable Mathematics, Bangalore 560065, India
2.
Department of Mathematics, Harvey Mudd College, Claremont, CA 91711
3.
Department of Mathematics, Pomona College, Claremont, CA, 91711, United States
Abstract
B cell chronic lymphocytic leukemia (B-CLL) is known to have substantial clinical heterogeneity. There is no cure, but treatments allow for disease management. However, the wide range of clinical courses experienced by B-CLL patients makes prognosis and hence treatment a significant challenge. In an attempt to study disease progression across different patients via a unified yet flexible approach, we present a mathematical model of B-CLL with immune response, that can capture both rapid and slow disease progression. This model includes four different cell populations in the peripheral blood of humans: B-CLL cells, NK cells, cytotoxic T cells and helper T cells. We analyze existing data in the medical literature, determine ranges of values for parameters of the model, and compare our model outcomes to clinical patient data. The goal of this work is to provide a tool that may shed light on factors affecting the course of disease progression in patients. This modeling tool can serve as a foundation upon which future treatments can be based.
Keywords: NK cell, chronic lymphocytic leukemia, mathematical model, T cell., B-CLL.
Project description:This SuperSeries is composed of the following subset Series: GSE11564: Discovery of the targets of the immune response to chronic lymphocytic leukemia in 2 patients using protein microarrays GSE11565: Discovery of the targets of the immune response to chronic myeloid leukemia in 3 patients using protein microarrays Keywords: SuperSeries Refer to individual Series
Project description:Micro-RNA expression data of CD19 selected B-cells from previously treated and relapsed chronic lymphocytic leukemia patients. We aimed to correlate miR-34a with TP53 mutation status and del17p status. CD19 B-cells from previously treated and relapsed chronic lymphocytic leukemia patients were selected for RNA extraction and hybridization on Affymetrix microarrays.
Project description:We studied the value of the microRNAs as a signature for Chronic lymphocytic leukemia (CLL) patients with specific chromosomal abnormalities. We found that MiR-181b is abiomarker of disease progression in Chronic Lymphocytic Leukemia
Project description:We have extensively characterized the DNA methylome of chronic lymphocytic leukemia (CLL) with mutated and unmutated IGHV as well as several mature B cell subpopulations using whole-genome bisulfite sequencing and high-density microarrays.
