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  1. Article: Refined high-content imaging-based phenotypic drug screening in zebrafish xenografts.

    Sturtzel, C / Grissenberger, S / Bozatzi, P / Scheuringer, E / Wenninger-Weinzierl, A / Zajec, Z / Dernovšek, J / Pascoal, S / Gehl, V / Kutsch, A / Granig, A / Rifatbegovic, F / Carre, M / Lang, A / Valtingojer, I / Moll, J / Lötsch, D / Erhart, F / Widhalm, G /
    Surdez, D / Delattre, O / André, N / Stampfl, J / Tomašič, T / Taschner-Mandl, S / Distel, M

    NPJ precision oncology

    2023  Volume 7, Issue 1, Page(s) 44

    Abstract: Zebrafish xenotransplantation models are increasingly applied for phenotypic drug screening to identify small compounds for precision oncology. Larval zebrafish xenografts offer the opportunity to perform drug screens at high-throughput in a complex in ... ...

    Abstract Zebrafish xenotransplantation models are increasingly applied for phenotypic drug screening to identify small compounds for precision oncology. Larval zebrafish xenografts offer the opportunity to perform drug screens at high-throughput in a complex in vivo environment. However, the full potential of the larval zebrafish xenograft model has not yet been realized and several steps of the drug screening workflow still await automation to increase throughput. Here, we present a robust workflow for drug screening in zebrafish xenografts using high-content imaging. We established embedding methods for high-content imaging of xenografts in 96-well format over consecutive days. In addition, we provide strategies for automated imaging and analysis of zebrafish xenografts including automated tumor cell detection and tumor size analysis over time. We also compared commonly used injection sites and cell labeling dyes and show specific site requirements for tumor cells from different entities. We demonstrate that our setup allows us to investigate proliferation and response to small compounds in several zebrafish xenografts ranging from pediatric sarcomas and neuroblastoma to glioblastoma and leukemia. This fast and cost-efficient assay enables the quantification of anti-tumor efficacy of small compounds in large cohorts of a vertebrate model system in vivo. Our assay may aid in prioritizing compounds or compound combinations for further preclinical and clinical investigations.
    Language English
    Publishing date 2023-05-18
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2397-768X
    ISSN 2397-768X
    DOI 10.1038/s41698-023-00386-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: How climatic variability is linked to the spatial distribution of range sizes: seasonality versus climate change velocity in sphingid moths

    Grünig, Marc / Nicolas Beerli / Liliana Ballesteros‐Mejia / Ian J. Kitching / Jan Beck

    Journal of biogeography. 2017 Nov., v. 44, no. 11

    2017  

    Abstract: AIM: To map the spatial variation of range sizes within sphingid moths, and to test hypotheses on its environmental control. In particular, we investigate effects of climate change velocity since the Pleistocene and the mid‐Holocene, temperature and ... ...

    Abstract AIM: To map the spatial variation of range sizes within sphingid moths, and to test hypotheses on its environmental control. In particular, we investigate effects of climate change velocity since the Pleistocene and the mid‐Holocene, temperature and precipitation seasonality, topography, Pleistocene ice cover, and available land area. LOCATION: Old World and Australasia, excluding smaller islands. METHODS: We used fine‐grained range maps (based on expert‐edited distribution modelling) for all 972 sphingid moth species in the research region and calculated, at a grain size of 100 km, the median of range sizes of all species that co‐occur in a pixel. Climate, topography and Pleistocene ice cover data were taken from publicly available sources. We calculated climate change velocities (CCV) for the last 21 kyr as well as 6 kyr. We compared the effects of seasonality and CCV on median range sizes with spatially explicit models while accounting for effects of elevation range, glaciation history and available land area. RESULTS: Range sizes show a clear spatial pattern, with highest median values in deserts and arctic regions and lowest values in isolated tropical regions. Range sizes were only weakly related to absolute latitude (predicted by Rapoport's effect), but there was a strong north‐south pattern of range size decline. Temperature seasonality emerged as the strongest environmental correlate of median range size, in univariate as well as multivariate models, whereas effects of CCV were weak and unstable for both time periods. These results were robust to variations in the parameters in alternative analyses, among them multivariate CCV. MAIN CONCLUSIONS: Temperature seasonality is a strong correlate of spatial range size variation, while effects of longer‐term temperature change, as captured by CCV, received much weaker support.
    Keywords climate change ; deserts ; glaciation ; ice ; islands ; latitude ; models ; moths ; multivariate analysis ; temperature ; topography ; tropics ; Arctic region ; Australasian region
    Language English
    Dates of publication 2017-11
    Size p. 2441-2450.
    Publishing place John Wiley & Sons, Ltd
    Document type Article
    Note JOURNAL ARTICLE
    ZDB-ID 188963-1
    ISSN 0305-0270
    ISSN 0305-0270
    DOI 10.1111/jbi.13051
    Database NAL-Catalogue (AGRICOLA)

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