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Bergmann, F.

Publications and source records attributed to Bergmann, F..

6 recordsLinked to original sources

CAKUT variants in PRPF8, DYRK2, and CEP78: implications for splicing and ciliogenesis

IntroductionCongenital anomalies of the kidney and urinary tract (CAKUT) are the leading cause of chronic kidney disease in children and young adults. Although over 50 monogenic causes have been identified, many remain unresolved. PRPF8 is a core spliceosome component, essential for pre-mRNA splicing, and further localizes to the distal mother centriole to promote ciliogenesis. MethodsWe performed trio exome sequencing in 208 CAKUT families and identified strong variants in PRPF8 and the EDD-DYRK2-DDB1VprBP complex. Functional validation included splicing assays in yeast (Saccharomyces cerevisiae), Sonic hedgehog (Shh) signaling in RPE-1 cells, co-immunoprecipitation for protein complex assembly, and in situ hybridization in mouse embryos. Protein interactions were modeled using AlphaFold. ResultsWe identified heterozygous de novo or inherited variants in PRPF8, DYRK2, DDB1, EDD and CEP78. Yeast assays revealed that while most PRPF8 variants preserved growth and splicing at consensus splice sites, the de novo PRPF8R1681W variant impaired splicing of non-consensus splice sites and was inviable at elevated temperature. CAKUT variants failed to rescue prp28-1 and U4-cs1 alleles but showed variant-specific synthetic interactions with brr2-1, including weak suppression or synthetic sickness at elevated temperatures. Shh signaling was reduced in [~]50% of PRPF8 variants expressed in RPE-1 cells. CEP78 truncating variants abrogated binding to CEP350 and VPRBP. Two DYRK2 variants disrupted EDD-DYRK2-DDB1VprBP complex formation without affecting kinase activity. In situ hybridization revealed strong Prpf8 expression in the developing collecting duct and urothelium. ConclusionVariants in PRPF8 and components of the EDD-DYRK2-DDB1VprBP complex may contribute to CAKUT through impaired pre-mRNA splicing and defective ciliogenesis. These findings uncover an entirely new functional network of candidate genes for CAKUT and ciliopathies, significantly broadening our understanding of disease mechanisms and offering novel entry points for mechanistic studies. Translational StatementOur study identifies a previously unrecognized molecular network involving PRPF8 and the EDD-DYRK2-DDB1VprBP complex, revealing a novel pathogenic mechanism in CAKUT. These results introduce a new class of candidate genes and pathways essential for kidney development. As the genetic etiology of CAKUT remains unknown in most patients, our findings underscore the need for targeted genetic testing and functional studies to enhance diagnosis, advance mechanistic insight, and enable more personalized clinical management.

genetics↗

Hindering memory suppression by perturbing the right dorsolateral prefrontal cortex

A reminder of the past can trigger the involuntary retrieval of an unwanted memory. Yet, we can intentionally stop this process and thus prevent the memory from entering awareness. Such suppression not only transiently hinders the retrieval of the memory, it can also induce forgetting. Neuroimaging has implicated the right dorsolateral prefrontal cortex (dlPFC) in initiating this process. Specifically, this region seems to downregulate activity in brain systems that would otherwise support memory reinstatement. Here, we probed the causal contribution of the right dlPFC to suppression by combining the Think/No-Think task with repetitive transcranial magnetic stimulation (rTMS). Participants first learned pairs of cue and target words, and then repeatedly recalled some of the targets (think condition) and suppressed others (no-think condition). We applied 10 Hz rTMS bursts to the right dlPFC during the suppression of half the no-think items and to the contra-lateral primary motor area (M1) as an active control site during the other half. As hypothesized, participants experienced less success at keeping the memories out of awareness with concurrent dlPFC than M1 stimulation. Similarly, a memory test yielded evidence for suppressioninduced forgetting (SIF) following M1 but not dlPFC stimulation. However, the difference in forgetting between the stimulation conditions was not significant. The study thus provides causal evidence for the role of the dlPFC in preventing retrieval. Future work will need to conclusively establish the relationship between this transient effect and suppression-induced forgetting.

neuroscience↗

FROG Analysis Ensures the Reproducibility of Genome Scale Metabolic Models

Genome-scale metabolic models (GEMs) and other constraint-based models (CBMs) play a pivotal role in understanding biological phenotypes and advancing research in areas like metabolic engineering, human disease modelling, drug discovery, and personalized medicine. Despite their growing application, a significant challenge remains in ensuring the reproducibility of GEMs, primarily due to inconsistent reporting and inadequate model documentation of model results. Addressing this gap, we introduce FROG analysis, a community-driven initiative aimed at standardizing reproducibility assessments of CBMs and GEMs. The FROG framework encompasses four key analyses--Flux variability, Reaction deletion, Objective function, and Gene deletion--to produce standardized, numerically reproducible FROG reports. These reports serve as reference datasets, enabling model evaluators, curators, and independent researchers to verify the reproducibility of GEMs systematically. BioModels, a leading repository of systems biology models, has integrated FROG analysis into its curation workflow, enhancing the reproducibility and reusability of submitted GEMs. In our study evaluating 65 GEM submissions from the community, approximately 40% reproduced without intervention, 28% requiring minor adjustments, and 32% needing input from authors. The standardization introduced by FROG analysis facilitated the detection and resolution of issues, ultimately leading to the successful reproduction of all models. By establishing a standardized and comprehensive approach to evaluating GEM reproducibility, FROG analysis significantly contributes to making CBMs and GEMs more transparent, reusable, and reliable for the broader scientific community.

systems biology↗

Circulation of West Nile Virus and Usutu Virus in Birds in Germany, 2021 and 2022.

BackgroundUsutu virus (USUV) and West Nile virus (WNV) are zoonotic arthropod-borne orthoflaviviruses. The enzootic transmission cycles of both include Culex mosquitoes as vectors and birds as amplifying hosts. For more than ten years, these viruses have been monitored in birds in Germany by a multidisciplinary network. While USUV is present nationwide, WNV used to be restricted to the central-east. MethodsIn 2021 and 2022, over 2300 live bird blood samples and organs from over 3000 deceased birds were subjected to molecular and serological analysis regarding presence of WNV and USUV. The samples were collected at sites all over Germany. ResultsCirculation of both viruses increased in 2022. For USUV, the nationwide presence of lineages Africa 3 and Europe 3 reported in previous years was confirmed. Lineage Europe 2, formerly restricted to the German east, was able to expand westward. Nonetheless, USUV neutralizing antibody (nAb) detection rates remained low (< 9%). 2021 and 2022 were characterized by stable enzootic circulation of WNV lineage 2, dominated by one previously identified subcluster (95% of generated sequences). In 2022, more than 20% of birds in the endemic region in eastern Germany carried nAb against WNV. Serological data also indicate expanding WNV circulation west and south of the known hotspots in Germany. ConclusionsUSUV circulates enzootically nationwide. Emergence of WNV at several new locations in Germany with a potential increase in human infections may be imminent. In this context, wild bird monitoring serves as a capable early-warning system in a One Health setting.

microbiology↗

Reconstruction of the molecular evolution of Usutu virus in Germany: Insights into virus emersion and circulation

Usutu virus (USUV) is a mosquito-borne flavivirus that is widely distributed in southern and central Europe. The zoonotic virus circulates primarily between birds and mosquitoes, can, however, in rare cases infect other mammals including humans. In the past USUV has been associated with mass mortalities in birds, formerly blackbirds and owls. Birds commonly succumb either due to the peracute nature of the infection or due to severe encephalitis. In Germany, USUV has spread rapidly since its first detection in 2010 in mosquitoes under the presence of susceptible host and vector species. Nonetheless, there is to date limited access to whole genome sequences resulting in the absence of in-depth phylogenetic and phylodynamic analyses. In this study, 118 wild and captive birds were screened using a nanopore sequencing platform with prior target enrichment via amplicons. Due to the high abundancy of Europe 3 and Africa 3 in Germany an ample quantity of associated whole genome sequences was generated and the most recent common ancestor could be determined for each lineage. The corresponding clock phylogeny revealed an introduction of USUV Europe 3 and Africa 3 into Germany three years prior to their first isolation in the avifauna in 2011 and 2014, respectively. Based on the clustering and temporal history of the lineages, evidence exists for the genetic evolution of USUV within Germany as well as new introductions thereof into the country.

evolutionary biology↗

A Portable Structural Analysis Library for Reaction Networks

The topology of a reaction network can have a significant influence on the networks dynamical properties. Such influences can include constraints on network flows and concentration changes or more insidiously result in the emergence of feedback loops. These effects are due entirely to mass constraints imposed by the network configuration and are important considerations before any dynamical analysis is made. Most established simulation software tools usually carry out some kind of structural analysis of a network before any attempt is made at dynamic simulation. In this paper we describe a portable software library, libStructural, that can carry out a variety of popular structural analyses that includes conservation analysis, flux dependency analysis and enumerating elementary modes. The library employs robust algorithms that allow it to be used on large networks with more than a two thousand nodes. The library accepts either a raw or fully labeled stoichiometry matrix or models written in SBML format. The software is written in standard C/C++ and comes with documentation and a test suite. The software is available for Windows, Mac OS X, and can be compiled easily on any Linux operating system. A language binding for Python is also available through the pip package manager making it trivial to install on any standard Python distribution. As a second example, we also create a new libStructural plugin for PathwayDesigner that allows solutions to be viewed graphically. The source code is licensed under the open source BSD license and is available on GitHub (https://github.com/sys-bio/Libstructural)

systems biology↗