Project description:We collected monocytes from peripheral blood of 5 chronic lymphocytic leukemia (CLL) patients and 5 healthy donors and we performed gene expression analysis by microarray. Comparison of gene expression profiles (GEPs) between CLL-derived and normal monocytes was used to discover molecular abnormalities in this nonmalignant immune cellular population in leukemia-bearing patients. Although analysed cells were not part of the malignant clone, in unsupervised hierarchical clustering analysis, GEPs of normal monocytes were clearly distinguishable from those of monocytes obtained from CLL patients. Supervised analysis identified 65 genes significantly up-regulated and 48 genes down-regulated in CLL monocytes compared with monocytes from normal controls (FC=2, p<0.05). Modification of gene expression profile would imply impairment of phagocytosis and production of immunosuppressive mediators in CLL-derived monocytes. The alterations described in our study further contribute to characterize the complexity of factors potentially involved in acquired immune deficiency of CLL patients.
Project description:We collected monocytes from peripheral blood of 5 chronic lymphocytic leukemia (CLL) patients and 5 healthy donors and we performed gene expression analysis by microarray. Comparison of gene expression profiles (GEPs) between CLL-derived and normal monocytes was used to discover molecular abnormalities in this nonmalignant immune cellular population in leukemia-bearing patients. Although analysed cells were not part of the malignant clone, in unsupervised hierarchical clustering analysis, GEPs of normal monocytes were clearly distinguishable from those of monocytes obtained from CLL patients. Supervised analysis identified 65 genes significantly up-regulated and 48 genes down-regulated in CLL monocytes compared with monocytes from normal controls (FC=2, p<0.05). Modification of gene expression profile would imply impairment of phagocytosis and production of immunosuppressive mediators in CLL-derived monocytes. The alterations described in our study further contribute to characterize the complexity of factors potentially involved in acquired immune deficiency of CLL patients. Large-scale gene expression profiling (GEP) was performed on total RNA extracted from purified CD14+ monocytes (RNeasy Mini kit Plus, QIAGEN, Valencia, CA, USA) isolated from 5 individual CLL patients and 5 healthy controls by hybridization on 4X44K Whole Human Genome Microarray (Agilent Technologies, Palo alto, CA). Fluorescence data were analysed with Feature Extraction Software v.10.5 (Agilent Technologies) an QC Chart tool v.1.3. Agglomerative two-dimensional clustering analysis and supervised analyses based on t-test were performed using Gene Spring GX (Agilent) software. Genes were defined as differentially expressed between groups at a significant level of p<0.05 and with a fold change cut off ± 2 in all the pair wise comparisons.
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:Epigenome analysis of monocytes and derived nurse-like cells from chronic lymphocytic leukemia patients, along with healthy-donor controls
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.