Assessment of the role of the BCRs in transgenic models of chronic lymphocytic leukemia
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE55240 | GEO | 2014/12/31
SECONDARY ACCESSION(S): PRJNA238982
REPOSITORIES: GEO
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Project description:Chronic Lymphocytic Leukaemia (CLL) is the most common leukemia in adults in the Western world. B cell receptor (BCR) signalling is known to be crucial for the pathogenesis and maintenance of CLL cells develop from mature CD5+ B cells. BCR signalling is regulated by the inhibitory co-receptor Siglec-G and Siglec-G-deficient mice have an enlarged CD5+ B1a cell population. Here, we determine how Siglec-G expression influences the severity of CLL.
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Project description:The immune system produces a vast repertoire of immunoglobulins (Ig) in response to the wide number of different antigens to which we are exposed. Thanks to processes such as V(D)J recombination, somatic hypermutation, and antigen selection, the immune system is able of generating the high diversity of Ig sequences. Igs are present in the body as soluble or membrane-bound proteins attached to the B-cells (similar structure to IgM) for regulating the immune system and performing the function of B-cell receptors (BCR), respectively. Specifically, the disrupted activation of the BCR appears as the responsible of the chronic lymphocytic leukemia (CLL). We have focused this study in the sequencing of cellular Ig from B cells purified from the peripheral blood of CLL patients in order to characterize their peptide profiles.
2017-05-08 | PXD004466 | Pride
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
Project description:Chronic lymphocytic leukemia (CLL) is a highly heterogenous disease, with vastly diverse phenotypes that cause differing clinical courses ranging from benign disease (requiring no treatment), to a rapidly progressive disease and may require aggressive treatment therapy. Key to the B cell is the B-cell receptor (BCR); CLL utilises the BCR to evade apoptosis and promote proliferation and drug resistance through cross-talk between the TME and through BCR activation. Our experiments engage the BCR to determine downstream impact of BCR stimulation on gene expression in CLL (6 hours after stimulation).
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Project description:The B-cell receptor (BCR) signaling is crucial for the pathophysiology of chronic lymphocytic leukemia (CLL). Although the BCR has recently emerged as a new therapeutic target the precise mechanisms by which BCR signaling controls neoplastic B-cell proliferation are still ill characterized. Here, by comparing proliferating vs. non-proliferating cells from aggressive CLL patients, we longitudinally characterized the transcriptional and proteomic response of CLL cells after BCR engagement ex vivo. Of the 5,733 genes and/or proteins which expression was modulated after BCR activation, we identified a CLL proliferative signature including 430 genes and 374 proteins. Mathematical modelling of this signature revealed a nested sub-regulatory network comprising transcription factors activated within hours after cell activation linked to proteins involved in cell proliferation days after stimulation. The mining of this core cellular program sustaining primary human cancer cells proliferation provides an evidence based-resource for innovative therapeutic perspectives.
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Project description:The B-cell receptor (BCR) signaling is crucial for the pathophysiology of chronic lymphocytic leukemia (CLL). Although the BCR has recently emerged as a new therapeutic target the precise mechanisms by which BCR signaling controls neoplastic B-cell proliferation are still ill characterized. Here, by comparing proliferating vs. non-proliferating cells from aggressive CLL patients, we longitudinally characterized the transcriptional and proteomic response of CLL cells after BCR engagement ex vivo. Of the 5,733 genes and/or proteins which expression was modulated after BCR activation, we identified a CLL proliferative signature including 430 genes and 374 proteins. Mathematical modelling of this signature revealed a nested sub-regulatory network comprising transcription factors activated within hours after cell activation linked to proteins involved in cell proliferation days after stimulation. The mining of this core cellular program sustaining primary human cancer cells proliferation provides an evidence based-resource for innovative therapeutic perspectives.
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Project description:Chronic lymphocytic leukemia (CLL) stereotyped subsets #6 and #8 include cases expressing unmutated B cell receptor immunoglobulin (BcR IG) (U-CLL). Yet, subset #6 (IGHV1-69/IGKV3-20) is less aggressive compared to subset #8 (IGHV4-39/IGKV1(D)-39) which has the highest risk for Richter’s transformation among all CLL. The underlying reasons for this divergent clinical behavior are not fully elucidated. To gain insight into this issue, here we focused on their gene expression profiling and performed RNA-seq.
2019-04-04 | E-MTAB-6962 | biostudies-arrayexpress
Project description:Chronic lymphocytic leukemia (CLL) stereotyped subsets #6 and #8 include cases expressing unmutated B cell receptor immunoglobulin (BcR IG) (U-CLL). Yet, subset #6 (IGHV1-69/IGKV3-20) is less aggressive compared to subset #8 (IGHV4-39/IGKV1(D)-39) which has the highest risk for Richter’s transformation among all CLL. The underlying reasons for this divergent clinical behavior are not fully elucidated. To gain insight into this issue, here we focused on epigenomic signatures and their links with gene expression, particularly investigating genome-wide DNA methylation profiles in subsets #6 and #8 as well as other U-CLL cases not expressing stereotyped BcR IG using the Illumina 450k methylation arrays. Additionally we analysed the methylation profiles of naive and memory B cell subsets from healthy donors and compared them with those of the CLL cases.
2019-04-04 | E-MTAB-6955 | biostudies-arrayexpress
Project description:Many functional consequences of mutations on tumor phenotypes in chronic lymphocytic leukemia (CLL) are only partially known. This is in part due to a scarcity of information on the proteome of CLL. We profiled the proteome of 117 CLL samples with data-independent acquisition mass spectrometry (DIA-MS) and integrated the results with genomic, transcriptomic, functional data and clinical outcome. We found trisomy 12 and IGHV to be major determinants of proteome variation in CLL (1055 and 542 differential proteins FDR of 5%). Trisomy 12 was associated with limited protein abundance buffering. Protein complex analyses detected functional units involved in BCR/PI3K/AKT signaling in CLL with trisomy 12. We associated protein expression with response to anticancer drugs, and STAT2 protein expression emerged as a biomarker for the prediction of response to kinase inhibitors including BTK and MEK inhibitors. STAT2 protein levels were determined by gene dosage (trisomy 12), stabilization in a protein complex and linked to interferon signaling in CLL. This study highlights the emerging importance of protein abundance profiling in CLL biology.
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Project description:Chronic lymphocytic leukemia (CLL) is characterized by the accumulation of malignant CD5+ B lymphocytes (CLL cells) in the peripheral blood, and their progressive infiltration in lymphoid organs. MMP-9 plays an important role in cell migration and survival, contributes to CLL pathogenesis by proteolytic and non-proteolytic mechanisms and may constitutive a therapeutic target. We used Affimetrix microarray technology to characterize the global gene expression profile of chronic lymphocytic leukemia (CLL) cells upon MMP-9 transfection. The aim was to establish whether MMP-9 regulates gene expression and to identify new therapeutic targets in CLL.
2016-03-21 | GSE78174 | GEO