Ontology highlight
ABSTRACT:
PROVIDER: PRJNA735426 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14742474.fastq.gz | Fastqsanger.gz | |||
| SRR14742475.fastq.gz | Fastqsanger.gz | |||
| SRR14742476.fastq.gz | Fastqsanger.gz | |||
| SRR14742477.fastq.gz | Fastqsanger.gz | |||
| SRR14742478.fastq.gz | Fastqsanger.gz |
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Project description:Clinical Validation of novel biomarkers associated with disease progression in Chronic Myeloid Leukemia
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Project description:In order to support our research of chronic myeloid leukemia in human genome, we conducted massively parallel pyrosequencing of mRNAs (RNA-seq) using chronic myeloid leukemia blood in early disease. We obtained a total of 17.74 million read pairs from blood in early disease.The RNA-seq data derived from the sample illustrated the expreesion genes in chronic myeloid leukemia blood in early disease of human. 1 sample examined: blood in early disease.
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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 myeloid leukemia (CML) is a hematopoetic stem cell disease with distinct biological and clinical features. The biological foundation of the stereotypical progression from chronic phase through accelerated phase to blast crisis is poorly understood. We used DNA microarrays to compare gene expression in 91 cases of CML in chronic (42 cases), accelerated (17 cases), and blast phases (32 cases). Three thousand genes were found to be significantly (p<10-10) associated with the progression from chronic to blast phase. A comparison of the gene signatures of chronic, accelerated, and blast phases suggest that the progression of chronic phase CML from chronic advanced phase (accelerated and blast crisis) CML is a two-step rather than a three-step process, with new gene expression changes occurring early in accelerated phase before the accumulation of increased leukemia blast cells. The genetic signature of advanced phase CML is similar to that of normal CD34+ cells; however, progression also involved novel genes not expressed in normal CD34+ cells. Especially noteworthy is deregulation of the WNT/b-catenin pathway, the decreased expression of both JunB and Fos, and dysregulation of genes under the control of MZF1 and delta EF1 zinc finger transcription factors. Studies of CML patients who relapsed after initially successful treatment with imatinib mesylate demonstrated a gene expression pattern closely related to advanced phase disease. Take together, these data suggest that CML progression begins relative early and before clinical and pathological detection, and features distinct genetic differences compared to normal hematpoetic cells that might provide diagnostic and therapeutic targets. Samples from different phases of CML were hybridized against the pool of chronic phases of samples.
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Project description:Epigenomics Studies in Acute Myeloid Leukemia disease progression
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Project description:In order to support our research of chronic myeloid leukemia in human genome, we conducted massively parallel pyrosequencing of mRNAs (RNA-seq) using chronic myeloid leukemia blood in early disease. We obtained a total of 17.74 million read pairs from blood in early disease.The RNA-seq data derived from the sample illustrated the expreesion genes in chronic myeloid leukemia blood in early disease of human.
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Project description:Signals from the microenvironment are known to be critical for development, sustaining adult stem cells, and for oncogenic progression. While candidate niche-driven signals that can promote cancer progression have been identified, concerted efforts to comprehensively map microenvironmental ligands for cancer stem cell specific surface receptors have been lacking. Here, we use temporal single cell RNA-sequencing to identify molecular cues from the bone marrow stromal niche that engage leukemia stem cells (LSC) during oncogenic progression. We integrate these data with our RNA-seq analysis of human LSCs from distinct aggressive myeloid cancer subtypes and our CRISPR based in vivo LSC dependency map7 to develop a temporal receptor-ligand interactome essential for disease progression. These analyses identify the taurine transporter (TauT)-taurine axis as a critical dependency of myeloid malignancies. We show that taurine production is restricted to the osteolineage population during cancer initiation and expansion. Inhibiting taurine synthesis in osteolineage cells impairs LSC growth in vitro and improves survival outcomes in vivo. Using TauT genetic loss of function murine models and patient-derived AML cells, we show that TauT inhibition significantly impairs in vivo myeloid leukemia progression. Consistent with elevated TauT expression in venetoclax resistant AML, TauT inhibition synergizes with venetoclax to block growth of primary human AML cells. Mechanistically, our metabolomic, proteomic and transcriptomic approaches indicate that loss of taurine uptake inhibits Rag-GTP dependent mTOR activation and downstream glycolytic metabolism. Collectively, our work establishes the temporal landscape of stromal signals during leukemia progression and identifies taurine as an important regulator of myeloid malignancies.
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Project description:Epigenomics Studies in Acute Myeloid Leukemia disease progression [RNAseq]
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