Kohls, Niko (2022)
Unternehmerforum Ruhr, Keynote, Online-Event.
Wilde, Mathias; Rebhan , Jakob (2022)
Standort - Zeitschrift für Angewandte Geographie 46 (1), 2-8.
DOI: 10.1007/s00548-021-00746-2
Kohls, Niko (2022)
Report Psychologie 47 (3), 6-10.
Fester, Niclas; Zielonka, Elisabeth; Goldmann, Jakob; Frombach, Ann-Sophie; Müller-Kuller, Uta; Gutfreund, Niklas; Riegel, Kristina; Smits, Jos; Schleiff, Enrico; Rajalingam, Krishnaraj; Zhou, Huiqing; Simm, Stefan; Dötsch, Volker (2022)
Fester, Niclas; Zielonka, Elisabeth; Goldmann, Jakob; Frombach, Ann-Sophie...
Cell Death & Disease 13 (3), 204.
DOI: 10.1038/s41419-022-04659-2
Specialized surveillance mechanisms are essential to maintain the genetic integrity of germ cells, which are not only the source of all somatic cells but also of the germ cells of the next generation. DNA damage and chromosomal aberrations are, therefore, not only detrimental for the individual but affect the entire species. In oocytes, the surveillance of the structural integrity of the DNA is maintained by the p53 family member TAp63α. The TAp63α protein is highly expressed in a closed and inactive state and gets activated to the open conformation upon the detection of DNA damage, in particular DNA double-strand breaks. To understand the cellular response to DNA damage that leads to the TAp63α triggered oocyte death we have investigated the RNA transcriptome of oocytes following irradiation at different time points. The analysis shows enhanced expression of pro-apoptotic and typical p53 target genes such as CDKn1a or Mdm2, concomitant with the activation of TAp63α. While DNA repair genes are not upregulated, inflammation-related genes become transcribed when apoptosis is initiated by activation of STAT transcription factors. Furthermore, comparison with the transcriptional profile of the ΔNp63α isoform from other studies shows only a minimal overlap, suggesting distinct regulatory programs of different p63 isoforms.
Babilon, Linda; Kratochwill, Lisa; Müller, Karsten; Rischke, Roman; Samek, Wojciech; Stabernack, Benno; Steinert, Fritjof (2022)
Babilon, Linda; Kratochwill, Lisa; Müller, Karsten; Rischke, Roman; Samek, Wojciech...
Deutsche-Energie-Agentur (Hrsg.).
Gross, Hellen (2022)
Kulturkonferenz des Landes Nordrhein-Westfalen 2022, 22. Februar 2022, virtuell .
Heinrich, Michael (2022)
Shrines of Wisdom. The Sacralization of Knowledge: A Core Dynamics of the Western Paradigm of Progress and its Architectural Expression within the College Topos. Jesus College, Cambridge.
Emig , Moritz ; Metz, Pierre; Reißing, Ralf (2022)
Software Engineering 2022 Workshops, 2022, 82-93.
DOI: 10.18420/se2022-ws-11
Kästner , J.; Epple, Philipp; Steppert, Michael (2022)
ASME 2021 International Mechanical Engineering Congress and Exposition IMECE2021
November 1–5, 2021
Virtual, Online 10.
DOI: 10.1115/IMECE2021-69672
In this work the aerodynamic performance of winglets of modern sailplanes were investigated. First isolated wings with winglets were designed and investigated and compared to the wings without winglets, showing the fundamental working principle and effectiveness of winglets. Then a complete sailplane was designed with an integrated inviscid flow method with XFLR5 [1] combined with Navier-Stokes CFD with Siemens PLM STAR CCM+ computations. In such a way a modern sailplane was designed for operation with winglets. Using this modern sailplane design the impact of winglets on sailplanes was investigated in detail. This modern sailplane was simulated with CFD in the configurations without winglets and with two modern advanced winglets and their aerodynamic characteristics and performance were investigated and compared. All aerodynamic results are analyzed and shown in detail.
Holtorf, Christian (2022)
Vortrag am Fakultätszentrum für transdisziplinäre historischkulturwissenschaftliche Studien, Universität Wien.
Aillaud, Isabelle; Kaniyappan, S.; Chandupatla, R.R.; Ramirez, L.-M.; Alkhashrom, Sewar ; Eichler, Jutta; Horn, A. H. C.; Zweckstetter , M.; Mandelkow, E.; Sticht, H.; Funke, Susanne A. (2022)
Aillaud, Isabelle; Kaniyappan, S.; Chandupatla, R.R.; Ramirez, L.-M....
Alzheimer's Research & Therapy 14, 15.
DOI: 10.1186/s13195-022-00959-z
Kohls, Niko (2022)
Online-Keynote am Neujahrsempfang der Münchner Assekuranz.
Tanunchai, Benjawan; Kalkhof, Stefan; Guliyev , V.; Wahdan, S. F. M.; Krstic, Dennis; Schädler , M.; Geissler, Andreas ; Buscot, F.; Blagodatskaya , E.; Noll, Matthias; Purahong, W. (2022)
Tanunchai, Benjawan; Kalkhof, Stefan; Guliyev , V.; Wahdan, S. F. M.; Krstic, Dennis...
Environmental Science: Processes & Impacts Royal Society of Chemistry 2022 / 24, d1em00426c | 233-241.
DOI: 10.1039/D1EM00426C
Lohrenscheit , Claudia (2022)
Vortrag im Rahmen der Reihe Creapolis am 10.1.2022 (Online via ZOOM).
Kohls, Niko (2022)
Moment by Moment 1, S.64 - 67.
Donhauser, A.; Phillips, Mark ; Vogt , Jennifer (2022)
Das menschliche Büro- The human(e) office 2022, 77-95.
DOI: 10.1007/978-3-658-33519-9_4
Polo López, Cristina; Khjoa, Ahmed; Curto, Ivan; Haas, Franziska; Exner, Dagmar; Troi, Alexandra (2022)
Polo López, Cristina; Khjoa, Ahmed; Curto, Ivan; Haas, Franziska; Exner, Dagmar...
Proceedings of EuroSun 2022 - ISES and IEA SHC International Conference on Solar Energy for Buildings and Industry, 1–12.
DOI: 10.18086/eurosun.2022.02.07
Forkel, Hannes; Grabarczyk, Piotr; Depke, Maren; Troschke-Meurer, Sascha; Simm, Stefan; Hammer, Elke; Michalik, Stephan; Hentschker, Christian; Corleis, Björn; Loyal, Lucie; Zumpe, Maxi; Siebert, Nikolai; Dorhoi, Anca; Thiel, Andreas; Lode, Holger; Völker, Uwe; Schmidt, Christian (2022)
Forkel, Hannes; Grabarczyk, Piotr; Depke, Maren; Troschke-Meurer, Sascha; Simm, Stefan...
Oncoimmunology 11 (1), 2148850.
DOI: 10.1080/2162402X.2022.2148850
BCL11B, an essential transcription factor for thymopoiesis, regulates also vital processes in post-thymic lymphocytes. Increased expression of BCL11B was recently correlated with the maturation of NK cells, whereas reduced BCL11B levels were observed in native and induced T cell subsets displaying NK cell features. We show that BCL11B-depleted CD8+ T cells stimulated with IL-15 acquired remarkable innate characteristics. These induced innate CD8+ (iiT8) cells expressed multiple innate receptors like NKp30, CD161, and CD16 as well as factors regulating migration and tissue homing while maintaining their T cell phenotype. The iiT8 cells effectively killed leukemic cells spontaneously and neuroblastoma spheroids in the presence of a tumor-specific monoclonal antibody mediated by CD16 receptor activation. These iiT8 cells integrate the innate natural killer cell activity with adaptive T cell longevity, promising an interesting therapeutic potential. Our study demonstrates that innate T cells, albeit of limited clinical applicability given their low frequency, can be efficiently generated from peripheral blood and applied for adoptive transfer, CAR therapy, or combined with therapeutic antibodies.
Nath, Neetika; Simm, Stefan (2022)
Advances in Experimental Medicine and Biology 1385, 109–131.
DOI: 10.1007/978-3-031-08356-3_4
Within the last years, more and more noncoding RNAs (ncRNAs) became the focal point to understand cell regulatory mechanisms because one class of ncRNAs, microRNAs (miRNAs), plays an essential role in translation repression or degradation of specific mRNAs and is implicated in disease etiology. miRNAs can serve as oncomiRs (oncogenic miRNAs) and tumor suppressor miRNAs, thus, miRNA therapeutics in clinical trials have become a vital component with respect to cancer treatment. To circumvent side-effects and allow an accurate effect it is crucial to accurately predict miRNAs and their mRNA targets. Over the last two decades, different approaches for miRNA prediction as well as miRNA target prediction have been developed and improved based on sequence and structure features. Nowadays, the abundance of high-throughput sequencing data and databases of miRNAs and miRNA targets from different species allow the training, testing, and validation of predicted miRNAs and miRNA targets with machine learning methods. This book chapter focuses on the important requirements for miRNA target prediction tools using ML like common features used for miRNA-binding site prediction. Furthermore, best practices for the prediction and validation of miRNA-mRNA targets are presented and set in the context of possible applications for cancer diagnosis and therapeutics.
Jagirdar, Gayatri; Elsner, Matthias; Scharf, Christian; Simm, Stefan; Borucki, Katrin; Peter, Daniela; Lalk, Michael; Methling, Karen; Linnebacher, Michael; Krohn, Mathias; Wolke, Carmen; Lendeckel, Uwe (2022)
Jagirdar, Gayatri; Elsner, Matthias; Scharf, Christian; Simm, Stefan; Borucki, Katrin...
Frontiers in Genetics 13, 1009773.
DOI: 10.3389/fgene.2022.1009773
[This corrects the article DOI: 10.3389/fgene.2022.931017.].
Hochschule Coburg
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