TY - JOUR A1 - Jost, Priska A1 - Klein, Franziska A1 - Brand, Benjamin A1 - Wahl, Vanessa A1 - Wyatt, Amanda A1 - Yildiz, Daniela A1 - Boehm, Ulrich A1 - Niemeyer, Barbara A. A1 - Vaeth, Martin A1 - Alansary, Dalia T1 - Acute downregulation but not genetic ablation of murine MCU impairs suppressive capacity of regulatory CD4 T cells JF - International Journal of Molecular Sciences N2 - By virtue of mitochondrial control of energy production, reactive oxygen species (ROS) generation, and maintenance of Ca\(^{2+}\) homeostasis, mitochondria play an essential role in modulating T cell function. The mitochondrial Ca\(^{2+}\) uniporter (MCU) is the pore-forming unit in the main protein complex mediating mitochondrial Ca\(^{2+}\) uptake. Recently, MCU has been shown to modulate Ca\(^{2+}\) signals at subcellular organellar interfaces, thus fine-tuning NFAT translocation and T cell activation. The mechanisms underlying this modulation and whether MCU has additional T cell subpopulation-specific effects remain elusive. However, mice with germline or tissue-specific ablation of Mcu did not show impaired T cell responses in vitro or in vivo, indicating that ‘chronic’ loss of MCU can be functionally compensated in lymphocytes. The current work aimed to specifically investigate whether and how MCU influences the suppressive potential of regulatory CD4 T cells (Treg). We show that, in contrast to genetic ablation, acute siRNA-mediated downregulation of Mcu in murine Tregs results in a significant reduction both in mitochondrial Ca\(^{2+}\) uptake and in the suppressive capacity of Tregs, while the ratios of Treg subpopulations and the expression of hallmark transcription factors were not affected. These findings suggest that permanent genetic inactivation of MCU may result in compensatory adaptive mechanisms, masking the effects on the suppressive capacity of Tregs. KW - mitochondrial calcium uniporter KW - regulatory T cells KW - suppressive capacity Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-313621 SN - 1422-0067 VL - 24 IS - 9 ER - TY - JOUR A1 - Gámez-Virués, Sagrario A1 - Perović, David J. A1 - Gossner, Martin M. A1 - Börschig, Carmen A1 - Blüthgen, Nico A1 - de Jong, Heike A1 - Simons, Nadja K. A1 - Klein, Alexandra-Maria A1 - Krauss, Jochen A1 - Maier, Gwen A1 - Scherber, Christoph A1 - Steckel, Juliane A1 - Rothenwöhrer, Christoph A1 - Steffan-Dewenter, Ingolf A1 - Weiner, Christiane N. A1 - Weisser, Wolfgang A1 - Werner, Michael A1 - Tscharntke, Teja A1 - Westphal, Catrin T1 - Landscape simplification filters species traits and drives biotic homogenization JF - Nature Communications N2 - Biodiversity loss can affect the viability of ecosystems by decreasing the ability of communities to respond to environmental change and disturbances. Agricultural intensification is a major driver of biodiversity loss and has multiple components operating at different spatial scales: from in-field management intensity to landscape-scale simplification. Here we show that landscape-level effects dominate functional community composition and can even buffer the effects of in-field management intensification on functional homogenization, and that animal communities in real-world managed landscapes show a unified response (across orders and guilds) to both landscape-scale simplification and in-field intensification. Adults and larvae with specialized feeding habits, species with shorter activity periods and relatively small body sizes are selected against in simplified landscapes with intense in-field management. Our results demonstrate that the diversity of land cover types at the landscape scale is critical for maintaining communities, which are functionally diverse, even in landscapes where in-field management intensity is high. KW - land-use intensity KW - community functional-responses KW - body-size KW - agricultural intensification KW - sustainable intensification KW - managed grasslands KW - biodiversity KW - diversity KW - heterogenity KW - butterflies Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-141925 VL - 6 IS - 8568 ER - TY - JOUR A1 - Dech, Stefan A1 - Holzwarth, Stefanie A1 - Asam, Sarah A1 - Andresen, Thorsten A1 - Bachmann, Martin A1 - Boettcher, Martin A1 - Dietz, Andreas A1 - Eisfelder, Christina A1 - Frey, Corinne A1 - Gesell, Gerhard A1 - Gessner, Ursula A1 - Hirner, Andreas A1 - Hofmann, Matthias A1 - Kirches, Grit A1 - Klein, Doris A1 - Klein, Igor A1 - Kraus, Tanja A1 - Krause, Detmar A1 - Plank, Simon A1 - Popp, Thomas A1 - Reinermann, Sophie A1 - Reiners, Philipp A1 - Roessler, Sebastian A1 - Ruppert, Thomas A1 - Scherbachenko, Alexander A1 - Vignesh, Ranjitha A1 - Wolfmueller, Meinhard A1 - Zwenzner, Hendrik A1 - Kuenzer, Claudia T1 - Potential and challenges of harmonizing 40 years of AVHRR data: the TIMELINE experience JF - Remote Sensing N2 - Earth Observation satellite data allows for the monitoring of the surface of our planet at predefined intervals covering large areas. However, there is only one medium resolution sensor family in orbit that enables an observation time span of 40 and more years at a daily repeat interval. This is the AVHRR sensor family. If we want to investigate the long-term impacts of climate change on our environment, we can only do so based on data that remains available for several decades. If we then want to investigate processes with respect to climate change, we need very high temporal resolution enabling the generation of long-term time series and the derivation of related statistical parameters such as mean, variability, anomalies, and trends. The challenges to generating a well calibrated and harmonized 40-year-long time series based on AVHRR sensor data flown on 14 different platforms are enormous. However, only extremely thorough pre-processing and harmonization ensures that trends found in the data are real trends and not sensor-related (or other) artefacts. The generation of European-wide time series as a basis for the derivation of a multitude of parameters is therefore an extremely challenging task, the details of which are presented in this paper. KW - AVHRR KW - Earth Observation KW - harmonization KW - time series analysis KW - climate related trends KW - automatic processing KW - Europe KW - TIMELINE Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-246134 SN - 2072-4292 VL - 13 IS - 18 ER - TY - JOUR A1 - Dammert, Marcel A. A1 - Brägelmann, Johannes A1 - Olsen, Rachelle R. A1 - Böhm, Stefanie A1 - Monhasery, Niloufar A1 - Whitney, Christopher P. A1 - Chalishazar, Milind D. A1 - Tumbrink, Hannah L. A1 - Guthrie, Matthew R. A1 - Klein, Sebastian A1 - Ireland, Abbie S. A1 - Ryan, Jeremy A1 - Schmitt, Anna A1 - Marx, Annika A1 - Ozretić, Luka A1 - Castiglione, Roberta A1 - Lorenz, Carina A1 - Jachimowicz, Ron D. A1 - Wolf, Elmar A1 - Thomas, Roman K. A1 - Poirier, John T. A1 - Büttner, Reinhard A1 - Sen, Triparna A1 - Byers, Lauren A. A1 - Reinhardt, H. Christian A1 - Letai, Anthony A1 - Oliver, Trudy G. A1 - Sos, Martin L. T1 - MYC paralog-dependent apoptotic priming orchestrates a spectrum of vulnerabilities in small cell lung cancer JF - Nature Communications N2 - MYC paralogs are frequently activated in small cell lung cancer (SCLC) but represent poor drug targets. Thus, a detailed mapping of MYC-paralog-specific vulnerabilities may help to develop effective therapies for SCLC patients. Using a unique cellular CRISPR activation model, we uncover that, in contrast to MYCN and MYCL, MYC represses BCL2 transcription via interaction with MIZ1 and DNMT3a. The resulting lack of BCL2 expression promotes sensitivity to cell cycle control inhibition and dependency on MCL1. Furthermore, MYC activation leads to heightened apoptotic priming, intrinsic genotoxic stress and susceptibility to DNA damage checkpoint inhibitors. Finally, combined AURK and CHK1 inhibition substantially prolongs the survival of mice bearing MYC-driven SCLC beyond that of combination chemotherapy. These analyses uncover MYC-paralog-specific regulation of the apoptotic machinery with implications for genotype-based selection of targeted therapeutics in SCLC patients. KW - genetic engineering KW - oncogenes KW - small-cell lung cancer KW - targeted therapies Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-223569 VL - 10 ER -