Project description:Comparison of gene expression after stable shRNA induced knock down of UGT2B17 and scrambled shRNA in the cell line model MEC-1. Transfection was performed using lentiviral particles, RNA was harvested after culture for 2 weeks. Results provide insight into functional UGT2B17 involvement in CLL cells. Knock down of UGT2B17 in comparison to scrambled shRNA in three independent replicates each.
Project description:Comparison of gene expression after stable shRNA induced knock down of UGT2B17 and scrambled shRNA in the cell line model MEC-1. Transfection was performed using lentiviral particles, RNA was harvested after culture for 2 weeks. Results provide insight into functional UGT2B17 involvement in CLL cells.
Project description:UGT2B17 is a recently identified molecular marker for poor prognosis in Chronic Lymphocytic Leukemia (CLL), which is the most prevalent adult leukemia subtype in the western world. The goal of this study was to determine the effects of UGT2B17 expression in leukemia cells and to find molecular pathways associated with high UGT2B17 expression. We characterized the effects of UGT2B17 in two leukemia cell lines (MEC1 and JVM2) overexpressing a functional UGT2B17 enzyme. A first line of inquiries based on RNA sequencing analysis revealed a series of genes differentially expressed in UGT2B17 overexpressing cells compared to controls, with several genes related to arachidonic acid metabolism and signaling.
Project description:Transcription profiling of human bone marrow mesenchymal stem cells treated with exosomes isolated from chronic lymphocytic leukemia cell line MEC-1 supernatant. Cells were left untreated or treated with CLL-exosomes for 6h at 37C.
Project description:Genome-wide profiling of histone 3 lysine 4 trimethylation is used for identification of microRNA transcriptional start sites. Various cell types allow a broad range detection of putative promoters rather independent of tissue specific expression patterns. These data are used for identification of aberrant epigenetic regulation at the respective regions. 11 samples total: 3 primary B-cell samples (1 chronic lymphocytic leukemia [CLL] and 2 healthy controls), 2 CLL related cell lines -/+ 5-aza-2M-bM-^@M-^Y-deoxycytidine (DAC) treatment (Mec-1, EHEB), T-lymphoid cell line JURKAT, myeloid cell line HL-60, colon cancer cell line HCT-116 wild type and double knock out; H3K4me3 enriched vs. input
Project description:UGT2B17 is a recently identified molecular marker for poor prognosis and drug response in Chronic Lymphocytic Leukemia (CLL), which is the most prevalent adult leukemia subtype in the western world. The goal of this study was to investigate transcriptome changes associated with drug-induced UGT2B17 up-regulation to identify possible upstream regulators of drug response and downstream effects of UGT induction.
Project description:To investigate Toll-like receptors (TLR) signaling in Chronic lymphocytic leukemia (CLL) cell lines, we analyzed HG-3, MEC-2 and PCL-12 CLL cell lines before and after TLR9 stimulation by RNA-sequencing followed by bioinformatic analyses and validation experiments.
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.