Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Enhancer mapping in chronic lymphocytic leukemia

ABSTRACT: Enhancer mapping in chronic lymphocytic leukemia

PROVIDER: PRJNA494455 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Enhancer mapping in chronic lymphocytic leukemia

Project description:Enhancer mapping in chronic lymphocytic leukemia

| PRJNA494454 | ENA

Enhancer profiling of chronic lymphocytic leukemia cells

Project description:Enhancer profiling of chronic lymphocytic leukemia cells

| PRJNA490189 | ENA

Enhancer profiling of chronic lymphocytic leukemia cells

Project description:Enhancer profiling has emerged as a powerful approach for discovering the cis-regulatory elements that define transcriptional core regulatory circuits. Characteristic biochemical and biophysical attributes of chromatin mark active enhancer elements, which can be leveraged with genome-wide assay technologies for discovery. This includes chromatin immunoprecipitation followed by sequencing (ChIP-seq) for histone H3 acetylated lysine 27 (H3K27ac). Enhancers are also characterized by regions of open chromatin, hypersensitive to digestion by transposases measurable by the assay for transposase-accessible chromatin (ATAC-seq). By integrating measures of chromatin accessibility and domains of enriched H3K27 acetylation, we have generated enhancer landscapes from chronic lymphocytic leukemia (CLL) representative cell lines including MEC1, MEC2, OSU-CLL, and CII. Targeting enhancer signaling via BET bromodomain inhibition (using the inhibitor JQ1) disrupts enhancer-dependent gene expression as measured with RNA-sequencing in CLL cell lines.

2018-11-29 | GSE119744 | GEO

Rodrigues2019 - A mathematical model for chemoimmunotherapy of chronic lymphocytic leukemia

Project description:THis is a simple ordinary differential equation model describing chemoimmunotherapy of chronic lymphocytic leukemia, including descriptions of the combinatorial effects of chemotherapy and adoptive cellular immunotherapy.

2021-10-08 | BIOMD0000000879 | BioModels

Genetic Epidemiology of Chronic Lymphocytic Leukemia

Project description:Genetic Epidemiology of Chronic Lymphocytic Leukemia

| PRJNA448480 | ENA

Nanda2013 - B cell chronic lymphocytic leukemia A model with immune response

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.

2020-01-09 | MODEL2001090002 | BioModels

Romidepsin in Treating Patients With Lymphoma, Chronic Lymphocytic Leukemia, or Solid Tumors With Liver Dysfunction

Project description:This phase I trial studies the side effects and best dose of romidepsin in treating patients with lymphoma, chronic lymphocytic leukemia, or solid tumors with liver dysfunction. Romidepsin may stop the growth of cancer cells by entering the cancer cells and by blocking the activity of proteins that are important for the cancer’s growth and survival.

| 2128415 | ecrin-mdr-crc

Lenalidomide With or Without Rituximab in Treating Patients With Progressive or Relapsed Chronic Lymphocytic Leukemia, Small Lymphocytic Lymphoma, Prolymphocytic Leukemia, or Non-Hodgkin Lymphoma Previously Treated With Donor Stem Cell Transplant

Project description:This phase II trial studies how well giving lenalidomide with or without rituximab works in treating patients with progressive or relapsed chronic lymphocytic leukemia (CLL), small lymphocytic lymphoma (SLL), prolymphocytic leukemia (PLL), or non-Hodgkin lymphoma (NHL). Biological therapies, such as lenalidomide, may stimulate the immune system in different ways and stop cancer cells from growing. Monoclonal antibodies, such as rituximab, can block cancer growth in different ways. Some block the ability of cancer to grow and spread. Others find cancer cells and help kill them or carry cancer-killing substances to them. Giving lenalidomide together with or without rituximab may kill more cancer cells.

| 2111714 | ecrin-mdr-crc

Transcription profiling of human Chronic Lymphocytic Leukemia samples

Project description:Microarray technology was used to predict the outcome of Chronic Lymphocytic Leukemia

2007-09-04 | E-TABM-80 | biostudies-arrayexpress

MiR-181b is a biomarker of disease progression in Chronic Lymphocytic Leukemia

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

2011-09-22 | E-MTAB-683 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data