@article{DeFreitasJohnsonGoldenetal.2021, author = {De Freitas, Jessica K. and Johnson, Kipp W. and Golden, Eddye and Nadkarni, Girish N. and Dudley, Joel T. and B{\"o}ttinger, Erwin and Glicksberg, Benjamin S. and Miotto, Riccardo}, title = {Phe2vec}, series = {Patterns}, volume = {2}, journal = {Patterns}, number = {9}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2666-3899}, doi = {10.1016/j.patter.2021.100337}, pages = {9}, year = {2021}, abstract = {Robust phenotyping of patients from electronic health records (EHRs) at scale is a challenge in clinical informatics. Here, we introduce Phe2vec, an automated framework for disease phenotyping from EHRs based on unsupervised learning and assess its effectiveness against standard rule-based algorithms from Phenotype KnowledgeBase (PheKB). Phe2vec is based on pre-computing embeddings of medical concepts and patients' clinical history. Disease phenotypes are then derived from a seed concept and its neighbors in the embedding space. Patients are linked to a disease if their embedded representation is close to the disease phenotype. Comparing Phe2vec and PheKB cohorts head-to-head using chart review, Phe2vec performed on par or better in nine out of ten diseases. Differently from other approaches, it can scale to any condition and was validated against widely adopted expert-based standards. Phe2vec aims to optimize clinical informatics research by augmenting current frameworks to characterize patients by condition and derive reliable disease cohorts.}, language = {en} } @article{DellepianeVaidJaladankietal.2021, author = {Dellepiane, Sergio and Vaid, Akhil and Jaladanki, Suraj K. and Coca, Steven and Fayad, Zahi A. and Charney, Alexander W. and B{\"o}ttinger, Erwin and He, John Cijiang and Glicksberg, Benjamin S. and Chan, Lili and Nadkarni, Girish}, title = {Acute kidney injury in patients hospitalized with COVID-19 in New York City}, series = {Kidney medicine}, volume = {3}, journal = {Kidney medicine}, number = {5}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2590-0595}, doi = {10.1016/j.xkme.2021.06.008}, pages = {877 -- 879}, year = {2021}, language = {en} } @article{DattaSachsFreitasdaCruzetal.2021, author = {Datta, Suparno and Sachs, Jan Philipp and Freitas da Cruz, Harry and Martensen, Tom and Bode, Philipp and Morassi Sasso, Ariane and Glicksberg, Benjamin S. and B{\"o}ttinger, Erwin}, title = {FIBER}, series = {JAMIA open}, volume = {4}, journal = {JAMIA open}, number = {3}, publisher = {Oxford Univ. Press}, address = {Oxford}, issn = {2574-2531}, doi = {10.1093/jamiaopen/ooab048}, pages = {10}, year = {2021}, abstract = {Objectives: The development of clinical predictive models hinges upon the availability of comprehensive clinical data. Tapping into such resources requires considerable effort from clinicians, data scientists, and engineers. Specifically, these efforts are focused on data extraction and preprocessing steps required prior to modeling, including complex database queries. A handful of software libraries exist that can reduce this complexity by building upon data standards. However, a gap remains concerning electronic health records (EHRs) stored in star schema clinical data warehouses, an approach often adopted in practice. In this article, we introduce the FlexIBle EHR Retrieval (FIBER) tool: a Python library built on top of a star schema (i2b2) clinical data warehouse that enables flexible generation of modeling-ready cohorts as data frames. Materials and Methods: FIBER was developed on top of a large-scale star schema EHR database which contains data from 8 million patients and over 120 million encounters. To illustrate FIBER's capabilities, we present its application by building a heart surgery patient cohort with subsequent prediction of acute kidney injury (AKI) with various machine learning models. Results: Using FIBER, we were able to build the heart surgery cohort (n = 12 061), identify the patients that developed AKI (n = 1005), and automatically extract relevant features (n = 774). Finally, we trained machine learning models that achieved area under the curve values of up to 0.77 for this exemplary use case. Conclusion: FIBER is an open-source Python library developed for extracting information from star schema clinical data warehouses and reduces time-to-modeling, helping to streamline the clinical modeling process.}, language = {en} } @article{CopeBaukmannKlingeretal.2021, author = {Cope, Justin L. and Baukmann, Hannes A. and Klinger, J{\"o}rn E. and Ravarani, Charles N. J. and B{\"o}ttinger, Erwin and Konigorski, Stefan and Schmidt, Marco F.}, title = {Interaction-based feature selection algorithm outperforms polygenic risk score in predicting Parkinson's Disease status}, series = {Frontiers in genetics}, volume = {12}, journal = {Frontiers in genetics}, publisher = {Frontiers Media}, address = {Lausanne}, issn = {1664-8021}, doi = {10.3389/fgene.2021.744557}, pages = {9}, year = {2021}, abstract = {Polygenic risk scores (PRS) aggregating results from genome-wide association studies are the state of the art in the prediction of susceptibility to complex traits or diseases, yet their predictive performance is limited for various reasons, not least of which is their failure to incorporate the effects of gene-gene interactions. Novel machine learning algorithms that use large amounts of data promise to find gene-gene interactions in order to build models with better predictive performance than PRS. Here, we present a data preprocessing step by using data-mining of contextual information to reduce the number of features, enabling machine learning algorithms to identify gene-gene interactions. We applied our approach to the Parkinson's Progression Markers Initiative (PPMI) dataset, an observational clinical study of 471 genotyped subjects (368 cases and 152 controls). With an AUC of 0.85 (95\% CI = [0.72; 0.96]), the interaction-based prediction model outperforms the PRS (AUC of 0.58 (95\% CI = [0.42; 0.81])). Furthermore, feature importance analysis of the model provided insights into the mechanism of Parkinson's disease. For instance, the model revealed an interaction of previously described drug target candidate genes TMEM175 and GAPDHP25. These results demonstrate that interaction-based machine learning models can improve genetic prediction models and might provide an answer to the missing heritability problem.}, language = {en} } @article{DoellDjalaliFarahaniKofoetZrenneretal.2021, author = {D{\"o}ll, Stefanie and Djalali Farahani-Kofoet, Roxana and Zrenner, Rita and Henze, Andrea and Witzel, Katja}, title = {Tissue-specific signatures of metabolites and proteins in asparagus roots and exudates}, series = {Horticulture research}, volume = {8}, journal = {Horticulture research}, number = {1}, publisher = {Nanjing Agricultural Univ.}, address = {Nanjing}, issn = {2052-7276}, doi = {10.1038/s41438-021-00510-5}, pages = {14}, year = {2021}, abstract = {Comprehensive untargeted and targeted analysis of root exudate composition has advanced our understanding of rhizosphere processes. However, little is known about exudate spatial distribution and regulation. We studied the specific metabolite signatures of asparagus root exudates, root outer (epidermis and exodermis), and root inner tissues (cortex and vasculature). The greatest differences were found between exudates and root tissues. In total, 263 non-redundant metabolites were identified as significantly differentially abundant between the three root fractions, with the majority being enriched in the root exudate and/or outer tissue and annotated as 'lipids and lipid-like molecules' or 'phenylpropanoids and polyketides'. Spatial distribution was verified for three selected compounds using MALDI-TOF mass spectrometry imaging. Tissue-specific proteome analysis related root tissue-specific metabolite distributions and rhizodeposition with underlying biosynthetic pathways and transport mechanisms. The proteomes of root outer and inner tissues were spatially very distinct, in agreement with the fundamental differences between their functions and structures. According to KEGG pathway analysis, the outer tissue proteome was characterized by a high abundance of proteins related to 'lipid metabolism', 'biosynthesis of other secondary metabolites' and 'transport and catabolism', reflecting its main functions of providing a hydrophobic barrier, secreting secondary metabolites, and mediating water and nutrient uptake. Proteins more abundant in the inner tissue related to 'transcription', 'translation' and 'folding, sorting and degradation', in accord with the high activity of cortical and vasculature cell layers in growth- and development-related processes. In summary, asparagus root fractions accumulate specific metabolites. This expands our knowledge of tissue-specific plant cell function.}, language = {en} } @article{vanSoestAleluiaReisBaptistaetal.2021, author = {van Soest, Heleen L. and Aleluia Reis, Lara and Baptista, Luiz Bernardo and Bertram, Christoph and Despr{\´e}s, Jacques and Drouet, Laurent and den Elzen, Michel and Fragkos, Panagiotis and Fricko, Oliver and Fujimori, Shinichiro and Grant, Neil and Harmsen, Mathijs and Iyer, Gokul and Keramidas, Kimon and K{\"o}berle, Alexandre C. and Kriegler, Elmar and Malik, Aman and Mittal, Shivika and Oshiro, Ken and Riahi, Keywan and Roelfsema, Mark and van Ruijven, Bas and Schaeffer, Roberto and Silva Herran, Diego and Tavoni, Massimo and {\"U}nl{\"u}, Gamze and Vandyck, Toon and van Vuuren, Detlef P.}, title = {Global roll-out of comprehensive policy measures may aid in bridging emissions gap}, series = {Nature communications}, volume = {12}, journal = {Nature communications}, number = {1}, publisher = {Nature Publishing Group UK}, address = {London}, doi = {10.1038/s41467-021-26595-z}, pages = {10}, year = {2021}, abstract = {Closing the emissions gap between Nationally Determined Contributions (NDCs) and the global emissions levels needed to achieve the Paris Agreement's climate goals will require a comprehensive package of policy measures. National and sectoral policies can help fill the gap, but success stories in one country cannot be automatically replicated in other countries. They need to be adapted to the local context. Here, we develop a new Bridge scenario based on nationally relevant, short-term measures informed by interactions with country experts. These good practice policies are rolled out globally between now and 2030 and combined with carbon pricing thereafter. We implement this scenario with an ensemble of global integrated assessment models. We show that the Bridge scenario closes two-thirds of the emissions gap between NDC and 2 °C scenarios by 2030 and enables a pathway in line with the 2 °C goal when combined with the necessary long-term changes, i.e. more comprehensive pricing measures after 2030. The Bridge scenario leads to a scale-up of renewable energy (reaching 52\%-88\% of global electricity supply by 2050), electrification of end-uses, efficiency improvements in energy demand sectors, and enhanced afforestation and reforestation. Our analysis suggests that early action via good-practice policies is less costly than a delay in global climate cooperation.}, language = {en} } @article{NwosuRoeserYangetal.2021, author = {Nwosu, Ebuka Canisius and Roeser, Patricia Angelika and Yang, Sizhong and Ganzert, Lars and Dellwig, Olaf and Pinkerneil, Sylvia and Brauer, Achim and Dittmann, Elke and Wagner, Dirk and Liebner, Susanne}, title = {From water into sediment-tracing freshwater cyanobacteria via DNA analyses}, series = {Microorganisms : open access journal}, volume = {9}, journal = {Microorganisms : open access journal}, number = {8}, publisher = {MDPI}, address = {Basel}, issn = {2076-2607}, doi = {10.3390/microorganisms9081778}, pages = {20}, year = {2021}, abstract = {Sedimentary ancient DNA-based studies have been used to probe centuries of climate and environmental changes and how they affected cyanobacterial assemblages in temperate lakes. Due to cyanobacteria containing potential bloom-forming and toxin-producing taxa, their approximate reconstruction from sediments is crucial, especially in lakes lacking long-term monitoring data. To extend the resolution of sediment record interpretation, we used high-throughput sequencing, amplicon sequence variant (ASV) analysis, and quantitative PCR to compare pelagic cyanobacterial composition to that in sediment traps (collected monthly) and surface sediments in Lake Tiefer See. Cyanobacterial composition, species richness, and evenness was not significantly different among the pelagic depths, sediment traps and surface sediments (p > 0.05), indicating that the cyanobacteria in the sediments reflected the cyanobacterial assemblage in the water column. However, total cyanobacterial abundances (qPCR) decreased from the metalimnion down the water column. The aggregate-forming (Aphanizomenon) and colony-forming taxa (Snowella) showed pronounced sedimentation. In contrast, Planktothrix was only very poorly represented in sediment traps (meta- and hypolimnion) and surface sediments, despite its highest relative abundance at the thermocline (10 m water depth) during periods of lake stratification (May-October). We conclude that this skewed representation in taxonomic abundances reflects taphonomic processes, which should be considered in future DNA-based paleolimnological investigations.}, language = {en} } @article{NwosuRoeserYangetal.2021, author = {Nwosu, Ebuka Canisius and Roeser, Patricia Angelika and Yang, Sizhong and Pinkerneil, Sylvia and Ganzert, Lars and Dittmann, Elke and Brauer, Achim and Wagner, Dirk and Liebner, Susanne}, title = {Species-level spatio-temporal dynamics of cyanobacteria in a hard-water temperate lake in the Southern Baltics}, series = {Frontiers in microbiology}, volume = {12}, journal = {Frontiers in microbiology}, publisher = {Frontiers Media}, address = {Lausanne}, issn = {1664-302X}, doi = {10.3389/fmicb.2021.761259}, pages = {17}, year = {2021}, abstract = {Cyanobacteria are important primary producers in temperate freshwater ecosystems. However, studies on the seasonal and spatial distribution of cyanobacteria in deep lakes based on high-throughput DNA sequencing are still rare. In this study, we combined monthly water sampling and monitoring in 2019, amplicon sequence variants analysis (ASVs; a proxy for different species) and quantitative PCR targeting overall cyanobacteria abundance to describe the seasonal and spatial dynamics of cyanobacteria in the deep hard-water oligo-mesotrophic Lake Tiefer See, NE Germany. We observed significant seasonal variation in the cyanobacterial community composition (p < 0.05) in the epi- and metalimnion layers, but not in the hypolimnion. In winter-when the water column is mixed-picocyanobacteria (Synechococcus and Cyanobium) were dominant. With the onset of stratification in late spring, we observed potential niche specialization and coexistence among the cyanobacteria taxa driven mainly by light and nutrient dynamics. Specifically, ASVs assigned to picocyanobacteria and the genus Planktothrix were the main contributors to the formation of deep chlorophyll maxima along a light gradient. While Synechococcus and different Cyanobium ASVs were abundant in the epilimnion up to the base of the euphotic zone from spring to fall, Planktothrix mainly occurred in the metalimnetic layer below the euphotic zone where also overall cyanobacteria abundance was highest in summer. Our data revealed two potentially psychrotolerant (cold-adapted) Cyanobium species that appear to cope well under conditions of lower hypolimnetic water temperature and light as well as increasing sediment-released phosphate in the deeper waters in summer. The potential cold-adapted Cyanobium species were also dominant throughout the water column in fall and winter. Furthermore, Snowella and Microcystis-related ASVs were abundant in the water column during the onset of fall turnover. Altogether, these findings suggest previously unascertained and considerable spatiotemporal changes in the community of cyanobacteria on the species level especially within the genus Cyanobium in deep hard-water temperate lakes.}, language = {en} } @article{KoehlerHandorfJaiseretal.2021, author = {K{\"o}hler, Raphael H. and Handorf, D{\"o}rthe and Jaiser, Ralf and Dethloff, Klaus and Z{\"a}ngl, G{\"u}nther and Majewski, Detlev and Rex, Markus}, title = {Improved circulation in the Northern hemisphere by adjusting gravity wave drag parameterizations in seasonal experiments with ICON-NWP}, series = {Earth and Space Science : ESS}, volume = {8}, journal = {Earth and Space Science : ESS}, number = {3}, publisher = {American Geophysical Union}, address = {Malden, Mass.}, issn = {2333-5084}, doi = {10.1029/2021EA001676}, pages = {15}, year = {2021}, abstract = {The stratosphere is one of the main potential sources for subseasonal to seasonal predictability in midlatitudes in winter. The ability of an atmospheric model to realistically simulate the stratospheric dynamics is essential in order to move forward in the field of seasonal predictions in midlatitudes. Earlier studies with the ICOsahedral Nonhydrostatic atmospheric model (ICON) point out that stratospheric westerlies in ICON are underestimated. This is the first extensive study on the evaluation of Northern Hemisphere stratospheric winter circulation with ICON in numerical weather prediction (NWP) mode. Seasonal experiments with the default setup are able to reproduce the basic climatology of the stratospheric polar vortex. However, westerlies are too weak and major stratospheric warmings too frequent in ICON. Both a reduction of the nonorographic, and a reduction of the orographic gravity wave and wake drag lead to a strengthening of the stratospheric vortex and a bias reduction, in particular in January. However, the effect of the nonorographic gravity wave drag scheme on the stratosphere is stronger. Stratosphere-troposphere coupling is intensified and more realistic due to a reduced gravity wave drag. Furthermore, an adjustment of the subgrid-scale orographic drag parameterization leads to a significant error reduction in the mean sea level pressure. As a result of these findings, we present our current suggested improved setup for seasonal experiments with ICON-NWP.
Plain Language Summary Although seasonal forecasts for midlatitudes have the potential to be highly beneficial to the public sector, they are still characterized by a large amount of uncertainty. Exact simulations of the circulation in the stratosphere can help to improve tropospheric predictability on seasonal time scales. For this reason, we investigate how well the new German atmospheric model is able to simulate the stratospheric circulation. The model reproduces the basic behavior of the Northern Hemisphere stratospheric polar vortex, but the westerly circulation in winter is underestimated. The stratospheric circulation is influenced by gravity waves that exert drag on the flow. These processes are only partly physically represented in the model, but are very important and are hence parameterized. By adjusting the parameterizations for the gravity wave drag, the stratospheric polar vortex is strengthened, thereby yielding a more realistic stratospheric circulation. In addition, the altered parameterizations improve the simulated surface pressure pattern. Based upon this, we present our current suggested improved model setup for seasonal experiments.}, language = {en} } @article{Philipowski2021, author = {Philipowski, Katharina}, title = {Konrads ›Klage der Kunst‹ im Kontext von Sangspruchdichtung und allegorischem Ich-Erz{\"a}hlen}, series = {Konrad von W{\"u}rzburg als Erz{\"a}hler}, volume = {10}, journal = {Konrad von W{\"u}rzburg als Erz{\"a}hler}, number = {Themenheft}, publisher = {University of Oldenburg Press}, address = {Oldenburg}, issn = {2568-9967}, doi = {10.25619/BmE20214131}, url = {http://nbn-resolving.de/https://ojs.uni-oldenburg.de/ojs/index.php/bme/article/view/131}, pages = {57 -- 79}, year = {2021}, abstract = {Die ›Klage der Kunst‹ Konrads wird auf dem Hintergrund und in Bezug zur Sangspruchdichtung sowie der Textfamilie allegorischer Erz{\"a}hlungen in der ersten Person untersucht. W{\"a}hrend Strophik, Sangbarkeit und kunst-Thematik das Werk in den Kontext der Sangspruchdichtung r{\"u}cken, stellt es sich durch seinen Umfang, seine Narrativit{\"a}t und das Erz{\"a}hltempus, das die Handlung zwar nicht dominiert, aber rahmt, an die Seite erster fr{\"u}her Erz{\"a}hlexperimente, die Dialog, Streit oder Rede als erlebte Erfahrung eines Ich pr{\"a}sentieren wie das ›Frauenbuch‹ Ulrichs von Liechtenstein, das aber - {\"a}hnlich wie Konrads ›Klage der Kunst‹ - zu seiner Zeit offenbar nur m{\"a}ßig erfolgreich, jedenfalls nur unikal {\"u}berliefert, ist. Konrad scheint der erste zu sein, der in der h{\"o}fischen Literatur das Erz{\"a}hlen in der ersten Person mit Allegorizit{\"a}t verkn{\"u}pft. Er nutzt dieses neue und in der sp{\"a}teren Literatur so {\"u}beraus fruchtbare Erz{\"a}hlformat geschickt, um seine eigene literarische Meisterschaft unter anderem in den Gestalten von wildekeit und kunst unter Beweis zu stellen, zu thematisieren und szenisch zu verhandeln.}, language = {de} } @article{GrumHiesslMareschetal.2021, author = {Grum, Marcus and Hiessl, Werner and Maresch, Karl and Gronau, Norbert}, title = {Design of a neuronal training modeling language}, series = {AIS-Transactions on enterprise systems}, volume = {5}, journal = {AIS-Transactions on enterprise systems}, number = {1}, publisher = {GITO-Publ., Verl. f{\"u}r Industrielle Informationstechnik und Organisation}, address = {Berlin}, issn = {1867-7134}, doi = {10.30844/aistes.v5i1.20}, pages = {16}, year = {2021}, abstract = {As the complexity of learning task requirements, computer infrastruc- tures and knowledge acquisition for artificial neuronal networks (ANN) is in- creasing, it is challenging to talk about ANN without creating misunderstandings. An efficient, transparent and failure-free design of learning tasks by models is not supported by any tool at all. For this purpose, particular the consideration of data, information and knowledge on the base of an integration with knowledge- intensive business process models and a process-oriented knowledge manage- ment are attractive. With the aim of making the design of learning tasks express- ible by models, this paper proposes a graphical modeling language called Neu- ronal Training Modeling Language (NTML), which allows the repetitive use of learning designs. An example ANN project of AI-based dynamic GUI adaptation exemplifies its use as a first demonstration.}, language = {en} } @article{BimbinovStage2021, author = {Bimbinov, Arseniy A. and Stage, Diana}, title = {Развитие медицинского уголовного права в Германии и России}, series = {Vserossijskij kriminologičeskij žurnal : RKZ = Russian journal of criminology : RJC}, volume = {15}, journal = {Vserossijskij kriminologičeskij žurnal : RKZ = Russian journal of criminology : RJC}, number = {4}, publisher = {Bajkal'skij gosudarstvennij universitet}, address = {Irkutsk}, issn = {2500-4255}, doi = {10.17150/2500-4255.2021.15(4).456-465}, pages = {456 -- 465}, year = {2021}, abstract = {Negative consequences of the actions of medical professionals have always been subject to controversial assessment from the legal standpoint. There were periods in Russian history when doctors were prosecuted even without establishing their guilt first, and the periods when doctors were not held responsible at all for the violations that they committed. Currently, medical and pharmaceutical work is a complicated process of performing professional functions connected with the observance of established standards and requirements of its organization. Most medical tests and manipulations of prevention, research, diagnostic, treatment or rehabilitation character are regulated by formal protocols which could, in some cases, prevent a qualified doctor from saving a patient's life and in others - inflict forced harm on their health. Both of these situations require a legal assessment of the actions, the mechanism of which has not yet been fully determined. This circumstance could lead to a criminal prosecution of a medical professional whose fault is absent (or nonobvious). On the other hand, a structurally complex professional activity, for which there are no recognized methods of legal assessment, creates preconditions for various violations and abuses on the part of medical professionals. Changing relationships between a doctor and a patient, as well as the commercialization of modern medical practices have made the healthcare system one of the most delicto- and even criminally-oriented.
These factors act as causes for the growing complexity of legislation (in the wide sense of the word) on criminal liability of medical professionals and the controversial law enforcement practice which, in its turn, leads to the interest of researchers in these problems. The results of such research often remain unconnected with other achievements of the criminal law science; due to this, it is necessary to study the development of law, including the practice of law enforcement and the doctrine, on criminal liability of medical professionals - medical criminal law. Taking into consideration that such a sub-branch of law is not traditional for Russian science, the authors present the results of researching the development of medical criminal law not only in Russia, but also in Germany, where this sphere of law has long been established as independent.}, language = {ru} } @article{WilhelmiNeumannJaehnertetal.2021, author = {Wilhelmi, Ilka and Neumann, Alexander and J{\"a}hnert, Markus and Ouni, Meriem and Sch{\"u}rmann, Annette}, title = {Enriched alternative splicing in islets of diabetes-susceptible mice}, series = {International journal of molecular sciences}, volume = {22}, journal = {International journal of molecular sciences}, number = {16}, publisher = {Molecular Diversity Preservation International}, address = {Basel}, issn = {1422-0067}, doi = {10.3390/ijms22168597}, pages = {16}, year = {2021}, abstract = {Dysfunctional islets of Langerhans are a hallmark of type 2 diabetes (T2D). We hypothesize that differences in islet gene expression alternative splicing which can contribute to altered protein function also participate in islet dysfunction. RNA sequencing (RNAseq) data from islets of obese diabetes-resistant and diabetes-susceptible mice were analyzed for alternative splicing and its putative genetic and epigenetic modulators. We focused on the expression levels of chromatin modifiers and SNPs in regulatory sequences. We identified alternative splicing events in islets of diabetes-susceptible mice amongst others in genes linked to insulin secretion, endocytosis or ubiquitin-mediated proteolysis pathways. The expression pattern of 54 histones and chromatin modifiers, which may modulate splicing, were markedly downregulated in islets of diabetic animals. Furthermore, diabetes-susceptible mice carry SNPs in RNA-binding protein motifs and in splice sites potentially responsible for alternative splicing events. They also exhibit a larger exon skipping rate, e.g., in the diabetes gene Abcc8, which might affect protein function. Expression of the neuronal splicing factor Srrm4 which mediates inclusion of microexons in mRNA transcripts was markedly lower in islets of diabetes-prone compared to diabetes-resistant mice, correlating with a preferential skipping of SRRM4 target exons. The repression of Srrm4 expression is presumably mediated via a higher expression of miR-326-3p and miR-3547-3p in islets of diabetic mice. Thus, our study suggests that an altered splicing pattern in islets of diabetes-susceptible mice may contribute to an elevated T2D risk.}, language = {en} } @article{GorinScherzKorostetal.2021, author = {Gorin, Vladislav A. and Scherz, Mark D. and Korost, Dmitry V. and Poyarkov, Nikolay A.}, title = {Consequences of parallel miniaturisation in Microhylinae (Anura, Microhylidae), with the description of a new genus of diminutive South East Asian frogs}, series = {Zoosystematics and evolution : Mitteilungen aus dem Museum f{\"u}r Naturkunde in Berlin}, volume = {97}, journal = {Zoosystematics and evolution : Mitteilungen aus dem Museum f{\"u}r Naturkunde in Berlin}, number = {1}, publisher = {Pensoft Publishers}, address = {Sofia}, issn = {1860-0743}, doi = {10.3897/zse.97.57968}, pages = {21 -- 54}, year = {2021}, abstract = {The genus Microhyla Tschudi, 1838 includes 52 species and is one of the most diverse genera of the family Microhylidae, being the most species-rich taxon of the Asian subfamily Microhylinae. The recent, rapid description of numerous new species of Microhyla with complex phylogenetic relationships has made the taxonomy of the group especially challenging. Several recent phylogenetic studies suggested paraphyly of Microhyla with respect to Glyphoglossus Gunther, 1869, and revealed three major phylogenetic lineages of mid-Eocene origin within this assemblage. However, comprehensive works assessing morphological variation among and within these lineages are absent. In the present study we investigate the generic taxonomy of Microhyla-Glyphoglossus assemblage based on a new phylogeny including 57 species, comparative morphological analysis of skeletons from cleared-and-stained specimens for 23 species, and detailed descriptions of generalized osteology based on volume-rendered micro-CT scans for five speciesal-together representing all major lineages within the group. The results confirm three highly divergent and well-supported clades that correspond with external and osteological morphological characteristics, as well as respective geographic distribution. Accordingly, acknowledging ancient divergence between these lineages and their significant morphological differentiation, we propose to consider these three lineages as distinct genera: Microhyla sensu stricto, Glyphoglossus, and a newly described genus, Nanohyla gen. nov.}, language = {en} }