41 research outputs found

    HIF1α drives chemokine factor pro-tumoral signaling pathways in acute myeloid leukemia

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    Approximately 80% of patients diagnosed with acute myeloid leukemia (AML) die as a consequence of failure to eradicate the tumor from the bone marrow microenvironment. We have recently shown that stroma-derived interleukin-8 (IL-8) promotes AML growth and survival in the bone marrow in response to AML-derived macrophage migration inhibitory factor (MIF). In the present study we show that high constitutive expression of MIF in AML blasts in the bone marrow is hypoxia-driven and, through knockdown of MIF, HIF1α and HIF2α, establish that hypoxia supports AML tumor proliferation through HIF1α signaling. In vivo targeting of leukemic cell HIF1α inhibits AML proliferation in the tumor microenvironment through transcriptional regulation of MIF, but inhibition of HIF2α had no measurable effect on AML blast survival. Functionally, targeted inhibition of MIF in vivo improves survival in models of AML. Here we present a mechanism linking HIF1α to a pro-tumoral chemokine factor signaling pathway and in doing so, we establish a potential strategy to target AML

    Productive Parvovirus B19 Infection of Primary Human Erythroid Progenitor Cells at Hypoxia Is Regulated by STAT5A and MEK Signaling but not HIFα

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    Human parvovirus B19 (B19V) causes a variety of human diseases. Disease outcomes of bone marrow failure in patients with high turnover of red blood cells and immunocompromised conditions, and fetal hydrops in pregnant women are resulted from the targeting and destruction of specifically erythroid progenitors of the human bone marrow by B19V. Although the ex vivo expanded erythroid progenitor cells recently used for studies of B19V infection are highly permissive, they produce progeny viruses inefficiently. In the current study, we aimed to identify the mechanism that underlies productive B19V infection of erythroid progenitor cells cultured in a physiologically relevant environment. Here, we demonstrate an effective reverse genetic system of B19V, and that B19V infection of ex vivo expanded erythroid progenitor cells at 1% O2 (hypoxia) produces progeny viruses continuously and efficiently at a level of approximately 10 times higher than that seen in the context of normoxia. With regard to mechanism, we show that hypoxia promotes replication of the B19V genome within the nucleus, and that this is independent of the canonical PHD/HIFα pathway, but dependent on STAT5A and MEK/ERK signaling. We further show that simultaneous upregulation of STAT5A signaling and down-regulation of MEK/ERK signaling boosts the level of B19V infection in erythroid progenitor cells under normoxia to that in cells under hypoxia. We conclude that B19V infection of ex vivo expanded erythroid progenitor cells at hypoxia closely mimics native infection of erythroid progenitors in human bone marrow, maintains erythroid progenitors at a stage conducive to efficient production of progeny viruses, and is regulated by the STAT5A and MEK/ERK pathways

    Role and task allocation framework for Multi-Robot Collaboration with latent knowledge estimation

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    In this work a novel framework for modeling role and task allocation in Cooperative Heterogeneous Multi-Robot Systems (CHMRSs) is presented. This framework encodes a CHMRS as a set of multidimensional relational structures (MDRSs). This set of structure defines collaborative tasks through both temporal and spatial relations between processes of heterogeneous robots. These relations are enriched with tensors which allow for geometrical reasoning about collaborative tasks. A learning schema is also proposed in order to derive the components of each MDRS. According to this schema, the components are learnt from data reporting the situated history of the processes executed by the team of robots. Data are organized as a multirobot collaboration treebank (MRCT) in order to support learning. Moreover, a generative approach, based on a probabilistic model, is combined together with nonnegative tensor decomposition (NTD) for both building the tensors and estimating latent knowledge. Preliminary evaluation of the performance of this framework is performed in simulation with three heterogeneous robots, namely, two Unmanned Ground Vehicles (UGVs) and one Unmanned Aerial Vehicle (UAV)

    Cancer stem cell metabolism

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    Cancer is now viewed as a stem cell disease. There is still no consensus on the metabolic characteristics of cancer stem cells, with several studies indicating that they are mainly glycolytic and others pointing instead to mitochondrial metabolism as their principal source of energy. Cancer stem cells also seem to adapt their metabolism to microenvironmental changes by conveniently shifting energy production from one pathway to another, or by acquiring intermediate metabolic phenotypes. Determining the role of cancer stem cell metabolism in carcinogenesis has become a major focus in cancer research, and substantial efforts are conducted towards discovering clinical targets

    Interleukin 2 down-modulates the macrophage colony-stimulating factor receptor in murine macrophages

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    Macrophage colony-stimulating factor (M-CSF) is the main growth factor for mononuclear phagocytes. Responsiveness to growth factors is reduced in the course of functional activation of macrophages, We studied the interference of the macrophage activator interleukin 2 (IL-2) with the response to M-CSF, in macrophages of the M-CSF-dependent murine line BAC-1.2F5, Long-term effects of IL-2 on cell growth were determined, showing that IL-2 reduces the M-CSF-dependent proliferation of macrophages. Short-term effects of IL-2 on the expression of the receptor for M-CSF (M-CSF.R) were characterized in more detail. IL-2 rapidly down-modulated M-CSF.R in a dose-dependent fashion, and interferon-gamma and lipopolysaccharides synergized with IL-2 in this modulation. The IL-2-induced down-modulation of M-CSF.R was shown to require the activity of protein-kinase-C and phospholipase-C. The data are consistent with the hypothesis that the down-modulation of M-CSF.R is a general property of macrophage activators. (C) 1996 Academic Press Limite

    Interleukin-4 rapidly down-modulates the macrophage colony-stimulating factor receptor in murine macrophages

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    The activation of macrophages interferes with their response to macrophage colony-stimulating factor (M-CSF), the main growth acid differentiation factor for mononuclear phagocytes, We tested the rapid effects of interleukin-4 (IL-4), the alternative macrophage activator produced by Th2 helper lymphocytes, on the receptor for M-CSF (M-CSFR) expressed on the cell surface of murine macrophages. IL-4 rapidly down-modulated M-CSFR in a dose-dependent fashion, This effect was unique to IL-4 among a number of Th2-produced cytokines, none of which, with the exception of IL-4 itself, is able to activate macrophages, The down-modulation of M-CSFR by IL-4 was partially prevented by the inhibition of the activity of phospholipase C or protein kinase C. The data are consistent with the hypothesis that the down-modulation of M-CSFR is a property common to, and exclusive of, macrophage activators, and is driven by different activators via a common mechanism
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