TY - JOUR A1 - Andreska, Thomas A1 - Lüningschrör, Patrick A1 - Wolf, Daniel A1 - McFleder, Rhonda L. A1 - Ayon-Olivas, Maurilyn A1 - Rattka, Marta A1 - Drechsler, Christine A1 - Perschin, Veronika A1 - Blum, Robert A1 - Aufmkolk, Sarah A1 - Granado, Noelia A1 - Moratalla, Rosario A1 - Sauer, Markus A1 - Monoranu, Camelia A1 - Volkmann, Jens A1 - Ip, Chi Wang A1 - Stigloher, Christian A1 - Sendtner, Michael T1 - DRD1 signaling modulates TrkB turnover and BDNF sensitivity in direct pathway striatal medium spiny neurons JF - Cell Reports N2 - Highlights • Dopamine receptor-1 activation induces TrkB cell-surface expression in striatal neurons • Dopaminergic deficits cause TrkB accumulation and clustering in the ER • TrkB clusters colocalize with cargo receptor SORCS-2 in direct pathway striatal neurons • Intracellular TrkB clusters fail to fuse with lysosomes after dopamine depletion Summary Disturbed motor control is a hallmark of Parkinson’s disease (PD). Cortico-striatal synapses play a central role in motor learning and adaption, and brain-derived neurotrophic factor (BDNF) from cortico-striatal afferents modulates their plasticity via TrkB in striatal medium spiny projection neurons (SPNs). We studied the role of dopamine in modulating the sensitivity of direct pathway SPNs (dSPNs) to BDNF in cultures of fluorescence-activated cell sorting (FACS)-enriched D1-expressing SPNs and 6-hydroxydopamine (6-OHDA)-treated rats. DRD1 activation causes enhanced TrkB translocation to the cell surface and increased sensitivity for BDNF. In contrast, dopamine depletion in cultured dSPN neurons, 6-OHDA-treated rats, and postmortem brain of patients with PD reduces BDNF responsiveness and causes formation of intracellular TrkB clusters. These clusters associate with sortilin related VPS10 domain containing receptor 2 (SORCS-2) in multivesicular-like structures, which apparently protects them from lysosomal degradation. Thus, impaired TrkB processing might contribute to disturbed motor function in PD. KW - motor learning KW - cortico-striatal synapse KW - basal ganglia KW - direct pathway KW - DRD1 KW - dSPN KW - BDNF KW - TrkB KW - synaptic plasticity KW - GPCR Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-349932 VL - 42 IS - 6 ER - TY - JOUR A1 - Grotemeyer, Alexander A1 - Fischer, Judith F. A1 - Koprich, James B. A1 - Brotchie, Jonathan M. A1 - Blum, Robert A1 - Volkmann, Jens A1 - Ip, Chi Wang T1 - Inflammasome inhibition protects dopaminergic neurons from α-synuclein pathology in a model of progressive Parkinson’s disease JF - Journal of Neuroinflammation N2 - Neuroinflammation has been suggested as a pathogenetic mechanism contributing to Parkinson’s disease (PD). However, anti-inflammatory treatment strategies have not yet been established as a therapeutic option for PD patients. We have used a human α-synuclein mouse model of progressive PD to examine the anti-inflammatory and neuroprotective effects of inflammasome inhibition on dopaminergic (DA) neurons in the substantia nigra (SN). As the NLRP3 (NOD-, LRR- and pyrin domain-containing 3)-inflammasome is a core interface for both adaptive and innate inflammation and is also highly druggable, we investigated the implications of its inhibition. Repeat administration of MCC950, an inhibitor of NLRP3, in a PD model with ongoing pathology reduced CD4\(^+\) and CD8\(^+\) T cell infiltration into the SN. Furthermore, the anti-inflammasome treatment mitigated microglial activation and modified the aggregation of α-synuclein protein in DA neurons. MCC950-treated mice showed significantly less neurodegeneration of DA neurons and a reduction in PD-related motor behavior. In summary, early inflammasome inhibition can reduce neuroinflammation and prevent DA cell death in an α-synuclein mouse model for progressive PD. KW - neurodegeneration KW - movement disorder KW - neuroinflammation KW - Parkinson’s disease KW - inflammasome KW - dopaminergic cells KW - NLRP3 KW - MCC950 KW - microglia KW - T cells Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-357652 VL - 20 ER - TY - JOUR A1 - Griebel, Matthias A1 - Segebarth, Dennis A1 - Stein, Nikolai A1 - Schukraft, Nina A1 - Tovote, Philip A1 - Blum, Robert A1 - Flath, Christoph M. T1 - Deep learning-enabled segmentation of ambiguous bioimages with deepflash2 JF - Nature Communications N2 - Bioimages frequently exhibit low signal-to-noise ratios due to experimental conditions, specimen characteristics, and imaging trade-offs. Reliable segmentation of such ambiguous images is difficult and laborious. Here we introduce deepflash2, a deep learning-enabled segmentation tool for bioimage analysis. The tool addresses typical challenges that may arise during the training, evaluation, and application of deep learning models on ambiguous data. The tool’s training and evaluation pipeline uses multiple expert annotations and deep model ensembles to achieve accurate results. The application pipeline supports various use-cases for expert annotations and includes a quality assurance mechanism in the form of uncertainty measures. Benchmarked against other tools, deepflash2 offers both high predictive accuracy and efficient computational resource usage. The tool is built upon established deep learning libraries and enables sharing of trained model ensembles with the research community. deepflash2 aims to simplify the integration of deep learning into bioimage analysis projects while improving accuracy and reliability. KW - machine learning KW - microscopy KW - quality control KW - software Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-357286 VL - 14 ER -