Project description:Acute myeloid leukemia (AML) is the most common and severe acute leukemia in adults. It is a heterogeneous disease where the subset of molecularly different types, presenting various morphological features and differentiation stage, can be distinguished. Genomic research of leukemias is conducted since 1999 and large cohort studies shown that particular genetic alterations correspond with specific gene expression signatures. However, not always they provide clinically relevant information. The most unknown group is cytogenetically normal acute myeloid leukemia (CN-AML, 40-49% of all AML cases). The aim of our experiment was to determine selected gene expression profiles in CN-AML, using small, boutique microarray. The array contained 933 oligonucleotide probes, mainly complementary to acute myeloid leukemia markers, genes involved in leukemic transformation and myeloid cell proliferation, differentiation and maturation. Our test dataset included 40 hybridizations: 24 corresponding with blood and bone marrow samples collected from 12 patients with AML M1 or M2 FAB subtype and 16 corresponding with healthy control samples. Total RNA was extracted from the mononuclear cell fractions, reversibly transcribed to cDNA and labeled with Alexa 647 dye. The common reference was RNA isolated from HL-60 cell culture, labeled with Alexa 555 dye.
Project description:The paper describes a model of acute myeloid leukaemia.
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This model is described in the article:
Optimal control of acute myeloid leukaemia
Jesse A. Sharp, Alexander P Browning, Tarunendu Mapder, Kevin Burrage, Matthew J Simpson
Journal of Theoretical Biology 470 (2019) 30–42
Abstract:
Acute myeloid leukaemia (AML) is a blood cancer affecting haematopoietic stem cells. AML is routinely treated with chemotherapy, and so it is of great interest to develop optimal chemotherapy treatment strategies. In this work, we incorporate an immune response into a stem cell model of AML, since we find that previous models lacking an immune response are inappropriate for deriving optimal control strategies. Using optimal control theory, we produce continuous controls and bang-bang controls, corre- sponding to a range of objectives and parameter choices. Through example calculations, we provide a practical approach to applying optimal control using Pontryagin’s Maximum Principle. In particular, we describe and explore factors that have a profound influence on numerical convergence. We find that the convergence behaviour is sensitive to the method of control updating, the nature of the control, and to the relative weighting of terms in the objective function. All codes we use to implement optimal control are made available.
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Project description:GATA-2 is a master regulator of hematopoiesis which controls expression of multiple genes and is implicated in acute myeloid leukemia (AML). However, the molecular mechanism how GATA-2 deregulation causes leukemogenesis is still unclear. In this study, GATA-2 ChIP-squ analysis was conducted in Kasumi-3 AML cell line to identify GATA-2 target genes which play important roles in the pathogenesis of AML. ChIP with GATA-2 antibody was conducted in Kasumi-3 AML cell line and ChIP-seq profile was generated by deep sequencing.
Project description:We performed microarray CGH analysis of 104 neuropathogenic and enteritis only stains of C. jejuni. Keywords: Individual hybridizations, CGH
Project description:GFI136N is a coding Single Nucleotide Polymorphism (SNP) in the gene GFI1 that increases the risk for Acute myeloid leukemia (AML) by 60%. It is present in 3-5% of Caucasians and has a prevalence of 12% among AML patients. We generated knockin mice expressing either the human GFI136N variant or the more common GFI136S form and observed that GFI136N, in contrast to GFI136S, lacked the ability to bind to the Gfi1 target gene and leukemia associated transcription factor Hoxa9 in myeloid precursors and failed to initiate the histone modifications that regulate HoxA9 expression. Consistent with this, GFI136N heterozygous AML patients showed increased HOXA9 expression compared to control patients. In the knockin mice, granulo-monocytic pogenitors (GMPs), a bone marrow subset from which AML can arise, show a proliferative expansion in the presence of the GFI136N variant. Finally, the GFI136N variant increased colony formation and proliferation of myeloid precursors induced by the onco-fusion proteins MLL/AF9 or AML1/Eto9a and accelerated the onset of a KRAS-driven myelo-proliferative disease. Our data suggest that GFI136N predisposes to AML by deregulating the expression of Hoxa9, a locus highly relevant for AML, thereby inducing a pre-leukemic state in myeloid precursors that can give rise to AML. 3 samples (2 histone modifications, 1 transcription factor)
Project description:Despite early optimism, therapeutics targeting oxidative phosphorylation (OxPhos) have faced clinical setbacks, primarily stemming from their inability to distinguish healthy from cancerous mitochondria. Herein, we describe an actionable bioenergetic mechanism unique to cancerous mitochondria inside acute myeloid leukemia (AML) cells. Unlike healthy cells which couple respiration to the synthesis of ATP, AML mitochondria were discovered to support inner membrane polarization by consuming ATP. Because matrix ATP consumption allows cells to survive bioenergetic stress, we hypothesized that AML cells may resist cell death induced by OxPhos damaging chemotherapy by reversing the ATP synthase reaction. In support of our hypothesis, targeted inhibition of BCL-2 with venetoclax abolished OxPhos flux without impacting mitochondrial membrane potential. In surviving AML cells, sustained polarization of the mitochondrial inner membrane was dependent on matrix ATP consumption. Mitochondrial ATP consumption was further enhanced in AML cells made refractory venetoclax, consequential to downregulations in both the proton-pumping respiratory complexes, as well the endogenous F1-ATPase inhibitor ATP5IF1. In treatment-naive AML, ATP5IF1 knockdown was sufficient to drive venetoclax resistance, while ATP5IF1 overexpression impaired F1-ATPase activity and heightened sensitivity to venetoclax. Collectively, our data identify matrix ATP consumption as cancer-cell intrinsic bioenergetic vulnerability actionable in the context of mitochondrial damaging chemotherapy.