@article{ConradKehlMuelleretal.2023, author = {Conrad, David and Kehl, Alexandra and M{\"u}ller, Tobias and Klopfleisch, Robert and Aupperle-Lellbach, Heike}, title = {Immunohistochemical and molecular genetic analysis of canine digital mast cell tumours}, series = {Animals}, volume = {13}, journal = {Animals}, number = {10}, issn = {2076-2615}, doi = {10.3390/ani13101694}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-319199}, year = {2023}, abstract = {Grading, immunohistochemistry and c-kit mutation status are criteria for assessing the prognosis and therapeutic options of canine cutaneous mast cell tumours (MCTs). As a subset, canine digital MCTs have rarely been explored in this context. Therefore, in this retrospective study, 68 paraffin-embedded canine digital MCTs were analysed, and histological grading was assessed according to Patnaik and Kiupel. The immunohistochemical markers KIT and Ki67 were used, as well as polymerase chain reaction (PCR) for mutational screening in c-kit exons 8, 9, 11 and 14. Patnaik grading resulted in 22.1\% grade I, 67.6\% grade II and 10.3\% grade III tumours. Some 86.8\% of the digital MCTs were Kiupel low-grade. Aberrant KIT staining patterns II and III were found in 58.8\%, and a count of more than 23 Ki67-positive cells in 52.3\% of the cases. Both parameters were significantly associated with an internal tandem duplication (ITD) in c-kit exon 11 (12.7\%). French Bulldogs, which tend to form well-differentiated cutaneous MCTs, had a higher proportion of digital high-grade MCTs and ITD in c-kit exon 11 compared with mongrels. Due to its retrospective nature, this study did not allow for an analysis of survival data. Nevertheless, it may contribute to the targeted characterisation of digital MCTs.}, language = {en} } @article{SalihogluSrivastavaLiangetal.2023, author = {Salihoglu, Rana and Srivastava, Mugdha and Liang, Chunguang and Schilling, Klaus and Szalay, Aladar and Bencurova, Elena and Dandekar, Thomas}, title = {PRO-Simat: Protein network simulation and design tool}, series = {Computational and Structural Biotechnology Journal}, volume = {21}, journal = {Computational and Structural Biotechnology Journal}, issn = {2001-0370}, doi = {10.1016/j.csbj.2023.04.023}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-350034}, pages = {2767-2779}, year = {2023}, abstract = {PRO-Simat is a simulation tool for analysing protein interaction networks, their dynamic change and pathway engineering. It provides GO enrichment, KEGG pathway analyses, and network visualisation from an integrated database of more than 8 million protein-protein interactions across 32 model organisms and the human proteome. We integrated dynamical network simulation using the Jimena framework, which quickly and efficiently simulates Boolean genetic regulatory networks. It enables simulation outputs with in-depth analysis of the type, strength, duration and pathway of the protein interactions on the website. Furthermore, the user can efficiently edit and analyse the effect of network modifications and engineering experiments. In case studies, applications of PRO-Simat are demonstrated: (i) understanding mutually exclusive differentiation pathways in Bacillus subtilis, (ii) making Vaccinia virus oncolytic by switching on its viral replication mainly in cancer cells and triggering cancer cell apoptosis and (iii) optogenetic control of nucleotide processing protein networks to operate DNA storage. Multilevel communication between components is critical for efficient network switching, as demonstrated by a general census on prokaryotic and eukaryotic networks and comparing design with synthetic networks using PRO-Simat. The tool is available at https://prosimat.heinzelab.de/ as a web-based query server.}, language = {en} } @article{BachertScheiner2023, author = {Bachert, Antonia and Scheiner, Ricarda}, title = {The ant's weapon improves honey bee learning performance}, series = {Scientific Reports}, volume = {13}, journal = {Scientific Reports}, doi = {10.1038/s41598-023-35540-7}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-358064}, year = {2023}, abstract = {Formic acid is the main component of the ant's major weapon against enemies. Being mainly used as a chemical defense, the acid is also exploited for recruitment and trail marking. The repelling effect of the organic acid is used by some mammals and birds which rub themselves in the acid to eliminate ectoparasites. Beekeepers across the world rely on this effect to control the parasitic mite Varroa destructor. Varroa mites are considered the most destructive pest of honey bees worldwide and can lead to the loss of entire colonies. Formic acid is highly effective against Varroa mites but can also kill the honeybee queen and worker brood. Whether formic acid can also affect the behavior of honey bees is unknown. We here study the effect of formic acid on sucrose responsiveness and cognition of honey bees treated at different live stages in field-relevant doses. Both behaviors are essential for survival of the honey bee colony. Rather unexpectedly, formic acid clearly improved the learning performance of the bees in appetitive olfactory conditioning, while not affecting sucrose responsiveness. This exciting side effect of formic acid certainly deserves further detailed investigations.}, language = {en} } @article{MaichlKirnerBecketal.2023, author = {Maichl, Daniela Simone and Kirner, Julius Arthur and Beck, Susanne and Cheng, Wen-Hui and Krug, Melanie and Kuric, Martin and Ade, Carsten Patrick and Bischler, Thorsten and Jakob, Franz and Hose, Dirk and Seckinger, Anja and Ebert, Regina and Jundt, Franziska}, title = {Identification of NOTCH-driven matrisome-associated genes as prognostic indicators of multiple myeloma patient survival}, series = {Blood Cancer Journal}, volume = {13}, journal = {Blood Cancer Journal}, doi = {10.1038/s41408-023-00907-6}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357598}, year = {2023}, abstract = {No abstract available.}, language = {en} } @article{HaakeHaackSchaeferetal.2023, author = {Haake, Markus and Haack, Beatrice and Sch{\"a}fer, Tina and Harter, Patrick N. and Mattavelli, Greta and Eiring, Patrick and Vashist, Neha and Wedekink, Florian and Genssler, Sabrina and Fischer, Birgitt and Dahlhoff, Julia and Mokhtari, Fatemeh and Kuzkina, Anastasia and Welters, Marij J. P. and Benz, Tamara M. and Sorger, Lena and Thiemann, Vincent and Almanzar, Giovanni and Selle, Martina and Thein, Klara and Sp{\"a}th, Jacob and Gonzalez, Maria Cecilia and Reitinger, Carmen and Ipsen-Escobedo, Andrea and Wistuba-Hamprecht, Kilian and Eichler, Kristin and Filipski, Katharina and Zeiner, Pia S. and Beschorner, Rudi and Goedemans, Renske and Gogolla, Falk Hagen and Hackl, Hubert and Rooswinkel, Rogier W. and Thiem, Alexander and Romer Roche, Paula and Joshi, Hemant and P{\"u}hringer, Dirk and W{\"o}ckel, Achim and Diessner, Joachim E. and R{\"u}diger, Manfred and Leo, Eugen and Cheng, Phil F. and Levesque, Mitchell P. and Goebeler, Matthias and Sauer, Markus and Nimmerjahn, Falk and Schuberth-Wagner, Christine and Felten, Stefanie von and Mittelbronn, Michel and Mehling, Matthias and Beilhack, Andreas and van der Burg, Sjoerd H. and Riedel, Angela and Weide, Benjamin and Dummer, Reinhard and Wischhusen, J{\"o}rg}, title = {Tumor-derived GDF-15 blocks LFA-1 dependent T cell recruitment and suppresses responses to anti-PD-1 treatment}, series = {Nature Communications}, volume = {14}, journal = {Nature Communications}, doi = {10.1038/s41467-023-39817-3}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357333}, year = {2023}, abstract = {Immune checkpoint blockade therapy is beneficial and even curative for some cancer patients. However, the majority don't respond to immune therapy. Across different tumor types, pre-existing T cell infiltrates predict response to checkpoint-based immunotherapy. Based on in vitro pharmacological studies, mouse models and analyses of human melanoma patients, we show that the cytokine GDF-15 impairs LFA-1/β2-integrin-mediated adhesion of T cells to activated endothelial cells, which is a pre-requisite of T cell extravasation. In melanoma patients, GDF-15 serum levels strongly correlate with failure of PD-1-based immune checkpoint blockade therapy. Neutralization of GDF-15 improves both T cell trafficking and therapy efficiency in murine tumor models. Thus GDF-15, beside its known role in cancer-related anorexia and cachexia, emerges as a regulator of T cell extravasation into the tumor microenvironment, which provides an even stronger rationale for therapeutic anti-GDF-15 antibody development.}, language = {en} } @article{SalehiZarePrezzaetal.2023, author = {Salehi, Saeede and Zare, Abdolhossein and Prezza, Gianluca and Bader, Jakob and Schneider, Cornelius and Fischer, Utz and Meissner, Felix and Mann, Matthias and Briese, Michael and Sendtner, Michael}, title = {Cytosolic Ptbp2 modulates axon growth in motoneurons through axonal localization and translation of Hnrnpr}, series = {Nature Communications}, volume = {14}, journal = {Nature Communications}, doi = {10.1038/s41467-023-39787-6}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357639}, year = {2023}, abstract = {The neuronal RNA-binding protein Ptbp2 regulates neuronal differentiation by modulating alternative splicing programs in the nucleus. Such programs contribute to axonogenesis by adjusting the levels of protein isoforms involved in axon growth and branching. While its functions in alternative splicing have been described in detail, cytosolic roles of Ptbp2 for axon growth have remained elusive. Here, we show that Ptbp2 is located in the cytosol including axons and growth cones of motoneurons, and that depletion of cytosolic Ptbp2 affects axon growth. We identify Ptbp2 as a major interactor of the 3' UTR of Hnrnpr mRNA encoding the RNA-binding protein hnRNP R. Axonal localization of Hnrnpr mRNA and local synthesis of hnRNP R protein are strongly reduced when Ptbp2 is depleted, leading to defective axon growth. Ptbp2 regulates hnRNP R translation by mediating the association of Hnrnpr with ribosomes in a manner dependent on the translation factor eIF5A2. Our data thus suggest a mechanism whereby cytosolic Ptbp2 modulates axon growth by fine-tuning the mRNA transport and local synthesis of an RNA-binding protein.}, language = {en} } @article{DjakovicHennigReinischetal.2023, author = {Djakovic, Lara and Hennig, Thomas and Reinisch, Katharina and Milić, Andrea and Whisnant, Adam W. and Wolf, Katharina and Weiß, Elena and Haas, Tobias and Grothey, Arnhild and J{\"u}rges, Christopher S. and Kluge, Michael and Wolf, Elmar and Erhard, Florian and Friedel, Caroline C. and D{\"o}lken, Lars}, title = {The HSV-1 ICP22 protein selectively impairs histone repositioning upon Pol II transcription downstream of genes}, series = {Nature Communications}, volume = {14}, journal = {Nature Communications}, doi = {10.1038/s41467-023-40217-w}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-358161}, year = {2023}, abstract = {Herpes simplex virus 1 (HSV-1) infection and stress responses disrupt transcription termination by RNA Polymerase II (Pol II). In HSV-1 infection, but not upon salt or heat stress, this is accompanied by a dramatic increase in chromatin accessibility downstream of genes. Here, we show that the HSV-1 immediate-early protein ICP22 is both necessary and sufficient to induce downstream open chromatin regions (dOCRs) when transcription termination is disrupted by the viral ICP27 protein. This is accompanied by a marked ICP22-dependent loss of histones downstream of affected genes consistent with impaired histone repositioning in the wake of Pol II. Efficient knock-down of the ICP22-interacting histone chaperone FACT is not sufficient to induce dOCRs in ΔICP22 infection but increases dOCR induction in wild-type HSV-1 infection. Interestingly, this is accompanied by a marked increase in chromatin accessibility within gene bodies. We propose a model in which allosteric changes in Pol II composition downstream of genes and ICP22-mediated interference with FACT activity explain the differential impairment of histone repositioning downstream of genes in the wake of Pol II in HSV-1 infection.}, language = {en} } @article{MuellerMitesserSchaeferetal.2023, author = {M{\"u}ller, J{\"o}rg and Mitesser, Oliver and Schaefer, H. Martin and Seibold, Sebastian and Busse, Annika and Kriegel, Peter and Rabl, Dominik and Gelis, Rudy and Arteaga, Alejandro and Freile, Juan and Leite, Gabriel Augusto and de Melo, Tomaz Nascimento and LeBien, Jack and Campos-Cerqueira, Marconi and Bl{\"u}thgen, Nico and Tremlett, Constance J. and B{\"o}ttger, Dennis and Feldhaar, Heike and Grella, Nina and Falcon{\´i}-L{\´o}pez, Ana and Donoso, David A. and Moriniere, Jerome and Buřivalov{\´a}, Zuzana}, title = {Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests}, series = {Nature Communications}, volume = {14}, journal = {Nature Communications}, doi = {10.1038/s41467-023-41693-w}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-358130}, year = {2023}, abstract = {Tropical forest recovery is fundamental to addressing the intertwined climate and biodiversity loss crises. While regenerating trees sequester carbon relatively quickly, the pace of biodiversity recovery remains contentious. Here, we use bioacoustics and metabarcoding to measure forest recovery post-agriculture in a global biodiversity hotspot in Ecuador. We show that the community composition, and not species richness, of vocalizing vertebrates identified by experts reflects the restoration gradient. Two automated measures - an acoustic index model and a bird community composition derived from an independently developed Convolutional Neural Network - correlated well with restoration (adj-R² = 0.62 and 0.69, respectively). Importantly, both measures reflected composition of non-vocalizing nocturnal insects identified via metabarcoding. We show that such automated monitoring tools, based on new technologies, can effectively monitor the success of forest recovery, using robust and reproducible data.}, language = {en} } @article{BeetzKrauselJundi2023, author = {Beetz, M. Jerome and Kraus, Christian and el Jundi, Basil}, title = {Neural representation of goal direction in the monarch butterfly brain}, series = {Nature Communications}, volume = {14}, journal = {Nature Communications}, doi = {10.1038/s41467-023-41526-w}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-358073}, year = {2023}, abstract = {Neural processing of a desired moving direction requires the continuous comparison between the current heading and the goal direction. While the neural basis underlying the current heading is well-studied, the coding of the goal direction remains unclear in insects. Here, we used tetrode recordings in tethered flying monarch butterflies to unravel how a goal direction is represented in the insect brain. While recording, the butterflies maintained robust goal directions relative to a virtual sun. By resetting their goal directions, we found neurons whose spatial tuning was tightly linked to the goal directions. Importantly, their tuning was unaffected when the butterflies changed their heading after compass perturbations, showing that these neurons specifically encode the goal direction. Overall, we here discovered invertebrate goal-direction neurons that share functional similarities to goal-direction cells reported in mammals. Our results give insights into the evolutionarily conserved principles of goal-directed spatial orientation in animals.}, language = {en} } @article{DhillonDahmsKuebertFlocketal.2023, author = {Dhillon, Maninder Singh and Dahms, Thorsten and K{\"u}bert-Flock, Carina and Liepa, Adomas and Rummler, Thomas and Arnault, Joel and Steffan-Dewenter, Ingolf and Ullmann, Tobias}, title = {Impact of STARFM on crop yield predictions: fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany}, series = {Remote Sensing}, volume = {15}, journal = {Remote Sensing}, number = {6}, issn = {2072-4292}, doi = {10.3390/rs15061651}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-311092}, year = {2023}, abstract = {Rapid and accurate yield estimates at both field and regional levels remain the goal of sustainable agriculture and food security. Hereby, the identification of consistent and reliable methodologies providing accurate yield predictions is one of the hot topics in agricultural research. This study investigated the relationship of spatiotemporal fusion modelling using STRAFM on crop yield prediction for winter wheat (WW) and oil-seed rape (OSR) using a semi-empirical light use efficiency (LUE) model for the Free State of Bavaria (70,550 km\(^2\)), Germany, from 2001 to 2019. A synthetic normalised difference vegetation index (NDVI) time series was generated and validated by fusing the high spatial resolution (30 m, 16 days) Landsat 5 Thematic Mapper (TM) (2001 to 2012), Landsat 7 Enhanced Thematic Mapper Plus (ETM+) (2012), and Landsat 8 Operational Land Imager (OLI) (2013 to 2019) with the coarse resolution of MOD13Q1 (250 m, 16 days) from 2001 to 2019. Except for some temporal periods (i.e., 2001, 2002, and 2012), the study obtained an R\(^2\) of more than 0.65 and a RMSE of less than 0.11, which proves that the Landsat 8 OLI fused products are of higher accuracy than the Landsat 5 TM products. Moreover, the accuracies of the NDVI fusion data have been found to correlate with the total number of available Landsat scenes every year (N), with a correlation coefficient (R) of +0.83 (between R\(^2\) of yearly synthetic NDVIs and N) and -0.84 (between RMSEs and N). For crop yield prediction, the synthetic NDVI time series and climate elements (such as minimum temperature, maximum temperature, relative humidity, evaporation, transpiration, and solar radiation) are inputted to the LUE model, resulting in an average R\(^2\) of 0.75 (WW) and 0.73 (OSR), and RMSEs of 4.33 dt/ha and 2.19 dt/ha. The yield prediction results prove the consistency and stability of the LUE model for yield estimation. Using the LUE model, accurate crop yield predictions were obtained for WW (R\(^2\) = 0.88) and OSR (R\(^2\) = 0.74). Lastly, the study observed a high positive correlation of R = 0.81 and R = 0.77 between the yearly R\(^2\) of synthetic accuracy and modelled yield accuracy for WW and OSR, respectively.}, language = {en} }