48 research outputs found

    The NCOR-HDAC3 co-repressive complex modulates the leukemogenic potential of the transcription factor ERG

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    The ERG (ETS-related gene) transcription factor is linked to various types of cancer, including leukemia. However, the specific ERG domains and co-factors contributing to leukemogenesis are poorly understood. Drug targeting a transcription factor such as ERG is challenging. Our study reveals the critical role of a conserved amino acid, proline, at position 199, located at the 3' end of the PNT (pointed) domain, in ERG's ability to induce leukemia. P199 is necessary for ERG to promote self-renewal, prevent myeloid differentiation in hematopoietic progenitor cells, and initiate leukemia in mouse models. Here we show that P199 facilitates ERG's interaction with the NCoR-HDAC3 co-repressor complex. Inhibiting HDAC3 reduces the growth of ERG-dependent leukemic and prostate cancer cells, indicating that the interaction between ERG and the NCoR-HDAC3 co-repressor complex is crucial for its oncogenic activity. Thus, targeting this interaction may offer a potential therapeutic intervention

    An instructive role for Interleukin-7 receptor α in the development of human B-cell precursor leukemia

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    © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.Kinase signaling fuels growth of B-cell precursor acute lymphoblastic leukemia (BCP-ALL). Yet its role in leukemia initiation is unclear and has not been shown in primary human hematopoietic cells. We previously described activating mutations in interleukin-7 receptor alpha (IL7RA) in poor-prognosis "ph-like" BCP-ALL. Here we show that expression of activated mutant IL7RA in human CD34+ hematopoietic stem and progenitor cells induces a preleukemic state in transplanted immunodeficient NOD/LtSz-scid IL2Rγnull mice, characterized by persistence of self-renewing Pro-B cells with non-productive V(D)J gene rearrangements. Preleukemic CD34+CD10highCD19+ cells evolve into BCP-ALL with spontaneously acquired Cyclin Dependent Kinase Inhibitor 2 A (CDKN2A) deletions, as commonly observed in primary human BCP-ALL. CRISPR mediated gene silencing of CDKN2A in primary human CD34+ cells transduced with activated IL7RA results in robust development of BCP-ALLs in-vivo. Thus, we demonstrate that constitutive activation of IL7RA can initiate preleukemia in primary human hematopoietic progenitors and cooperates with CDKN2A silencing in progression into BCP-ALL.This work was supported by the Israel Science Foundation (# 1178/12 to S.I.), Children with Cancer (UK) (S.I. and T.E.), Swiss Bridge Foundation (S.I.), WLBH Foundation (S.I.), Waxman Cancer Research Foundation (S.I.), US–Israel Binational Science Foundation, Israeli health ministry ERA-NET program (#CANCER11-FP-127 to S.I.), Hans Neufeld Stiftung, the International Collaboration Grant from the Jacki and Bruce Barron Cancer Research Scholars’ Program, a partnership of the Israel Cancer Research Fund and City of Hope (S.I. grants # 00161), the Nevzlin Genomic Center for Precision Medicine in Schneider Children’s Medical Center of Israel, The European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813091 (S.I.) and the Israel Childhood Cancer Foundation (S.I.). I.G. was partially supported by Israeli ministry of Immigrant Absorption.info:eu-repo/semantics/publishedVersio

    Mapping photovoltaic power stations and assessing their environmental impacts from multi-sensor datasets in Massachusetts, United States

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    Solar energy is often viewed as a sustainable alternative to non-renewable energy, yet the debate between solar energy promotion and environmental cost has received growing attention. Accurate geographic information of photovoltaic power stations is a prerequisite for quantifying cost and benefit of clean energy promotion. Therefore, this study aims to estimate the environmental impacts of photovoltaic power stations by geo-mapping solar panels over space and time. Based on the case of Massachusetts, United States, we classified the solar panel arrays using object-based image analysis on Sentinel-2 monthly composites, identified the per-array construction year based upon 20-year all available Landsat time-series dataset, and assessed the solar-induced environmental impacts with various environmental datasets. The accuracy assessment suggests that our classification performs well for detecting solar arrays (overall accuracy: 96%), depicting photovoltaic power stations geometry (average Jaccard Index value: 0.70), and capturing the construction years (percentage of temporal bias less than one year: 73%). Solar-induced land use and cover changes have largely occurred in forest and cropland, where 49% and 23% of the solar arrays have been installed, respectively. Geographic Information System (GIS) analysis uncovers that more than half of the mapped solar arrays were built in proximity (within 500 m) to rare wildlife habitats or adjacent to wetlands. This work exemplifies a new framework for identifying multifaceted land change information through a combination of finer-resolution Sentinel-2 images and long Landsat-based data archive. The findings can be useful for informing spatial planning and contributing to the growth, expansion, advancement, and location selection of solar installation arrays. The study also provides a new perspective for monitoring forest loss due to clean energy promotion and addressing critical issues of local conflicts between solar energy and environmental conservation. © 2023 Elsevier B.V

    A Relational theory of risk: a case study of the Asian Longhorned Beetle infestation in Worcester, MA

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    The rise of globalization and global increases in temperature have prompted the spread of invasive species, which poses a major threat to the ecosystem benefits provided by urban forests. Stakeholders such as urban residents, policy-makers, and forestry industry professionals deem these risks differently because they place value on threatened goods and services at different spatial and temporal scales. This article will use the frameworks of relational risk theory and relational place-making to connect ‘risk objects’ and ‘objects at risk’ to better understand how relationships of risk shape responses to threats to the environment. The data in this study comes from Worcester, MA, where discovery of the Asian Longhorned Beetle prompted the United States Department of Agriculture to remove 35,000 trees from streets and backyards in the quarantine zone. The three different stakeholder groups that were targeted for data collection were green industry representatives, government decision makers, and residents. Green industry representatives, decision makers, and residents were interviewed while additional residents responded to a survey. The results showed that greater understanding of the different objects and places at risk removed misconceptions between different stakeholders. Understanding is increased when each stakeholder recognizes the different spatial scales of the objects at risk. This improvement of transparency can lead to better communication of the variety of risks posed by invasive species and a faster and more unified response to the threats from invasive species or other natural disasters
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