Giardia duodenalis – deciphering barrier break down in human, organoid-derived duodenal monolayers

Das Protozoon Giardia duodenalis ist eine der Hauptursachen für infektiöse Magen-Darm-Erkrankungen. Die zugrundeliegenden Pathomechanismen sind jedoch nach wie vor unklar. Um die Pathogenität G. duodenalis‘ untersuchen zu können, wird ein Modellsystem benötigt, dass die Komplexität des Darmepithels widerspiegelt. Diese Arbeit zeigt die Etablierung eines Zellkultursystems auf der Basis von organoid-abgeleiteten Epithelien unter Verwendung von filter-basierten Zellkultureinsätzen. Wir haben Protokolle für die Etablierung von organoid-basierten Zellkulturen (ODMs) vier verschiedener Wirte zoonotischer Protozoen unter Verwendung eines einzigen Protokolls erstellt. Die Charakterisierung zeigte, dass das Modellsystem erfolgreich die Polarisierung des Darmepithels nachahmt, aus mehreren Zelltypen besteht und eine Infektion ermöglicht. Der Schwerpunkt der Arbeit lag auf der Analyse der durch G. duodenalis induzierten Barrierestörung in ODMs auf Transkriptions-, Protein- und Funktionsebene. Die Infektion von humanen duodenalen Zellen führte zu einem Verlust der epithelialen Barrierefunktion. Mit Hilfe des transepithelialen elektrischen Widerstandes und Dextran Flux wurde eine Erhöhung der Barrieredurchlässigkeit beobachtet. Die Hemmung von zuvor in immortalisierten Zellmodellen beschriebenen Reaktionswegen konnte die Barrierefunktion nicht wiederherstellen. Stattdessen konnten Veränderungen der Ionenhomöostase sowie den Zusammenbruch der zonula occludens nachgewiesen werden. Der beobachtete Phänotyp konnte auf die Aktivierung des cAMP/PKA/CREB-Signalwegs, als einen von mehreren kausalen Faktoren, zurückgeführt werden. Hier zeigen wir die Etablierung eines aus Organoiden abgeleiteten Modells, das die Untersuchung von G. duodenalis Infektionen in vitro ermöglicht. Mit unserem Modell konnten wir eine neue Reihenfolge von Ereignissen entschlüsseln, die einen der Faktoren während symptomatischer Giardiasis darstellt.The protozoan Giardia duodenalis is a one of the major causes of gastrointestinal illness. Underlying pathomechanisms remain unclear. An in vitro model system that also mimics the complexity of intestinal epithelium is needed to allow pathogenicity studies. This thesis shows the establishment of a cell culture system based on organoid-derived epithelia using permeable cell culture inserts. We have provided guidelines on the establishment of organoid-derived monolayers (ODMs) of four different hosts of zoonotic protozoa using a single protocol. Characterization showed that the model system successfully mimics intestinal polarization, is composed of multiple cell types and allows for infection with multiple protozoan parasites. As the main focus of the thesis, analysis of G. duodenalis-induced barrier breakdown in ODMs was performed on transcriptional, protein and functional level. Infection of human duodenal, organoid-derived monolayers resulted in a time- and dose-dependent breakdown of epithelial barrier function. Barrier permeability increases were observed ranging from ions to macromolecules as measured by transepithelial electrical resistance and Dextran flux. Inhibition of previously proposed key pathogen-induced pathways observed in immortalized cell models did not rescue barrier dysfunction. We could instead show changes in ion homeostasis, and tight junctional breakdown. While none of the previously proposed effector pathways appeared to be responsible, we could pin-point the observed phenotype to activation of the cAMP/PKA/CREB signaling pathway, as one of the factors of the multifactorial barrier breakdown. The establishment of an organoid-derived infection model is shown, allowing the study of in vitro Giardia duodenalis infections. Using this model, we could decipher a new series of events that may be one of the factors causing the intestinal barrier breakdown observed in symptomatic Giardiasis

The Role of Typeface and Product Context in Influencing B2C E-Commerce Trust

Lack of user trust in B2C e-commerce websites remains a major hindrance to its continued expansion. This initial study examines the role of website typography and product context in influencing user perceptions of trust in a B2C e-commerce website. Users perceive typefaces to possess human qualities; hence the typeface used to present text-material in a website could shape user perceptions towards that website, including those of trust. This paper presents an experimental model that addresses the impact of typeface as well as its interaction with product context in influencing user perceptions of trust

Human duodenal organoid-derived monolayers serve as a suitable barrier model for duodenal tissue

Usually, duodenal barriers are investigated using intestinal cell lines like Caco-2, which in contrast to native tissue are limited in cell-type representation. Organoids can consist of all intestinal cell types and are supposed to better reflect the in vivo situation. Growing three-dimensionally, with the apical side facing the lumen, application of typical physiological techniques to analyze the barrier is difficult. Organoid-derived monolayers (ODMs) were developed to overcome this. After optimizing culturing conditions, ODMs were characterized and compared to Caco-2 and duodenal tissue. Tight junction composition and appearance were analyzed, and electrophysiological barrier properties, like paracellular and transcellular barrier function and macromolecule permeability, were evaluated. Furthermore, transcriptomic data were analyzed. ODMs had tight junction protein expression and paracellular barrier properties much more resembling the originating tissue than Caco-2. Transcellular barrier was similar between ODMs and native tissue but was increased in Caco-2. Transcriptomic data showed that Caco-2 expressed fewer solute carriers than ODMs and native tissue. In conclusion, while Caco-2 cells differ mostly in transcellular properties, ODMs reflect trans- and paracellular properties of the originating tissue. If cultured under optimized conditions, ODMs possess reproducible functionality, and the variety of different cell types makes them a suitable model for human tissue-specific investigations.Peer Reviewe

#UKRAS22: The 5th UK Robotics and Autonomous Systems Conference

© 2022 EPSRC UK-Robotics and Autonomous Systems (UK-RAS) Network. This is an open access article distributed under the Creative Commons Attribution License, to view a copy of the license, see: https://creativecommons.org/licenses/by/4.0/As chairs of the UKRAS 2022 conference, we are happy to welcome you in person after a break from in-person events. The theme of this year’s conference is “Robotics for Unconstrained Environments”, reflecting much of the robotics research that happens at Aberystwyth University. Unconstrained environments include any indoor and outdoor environment that has not been modified specifically for the robot to perform its task. The premise is that the environment must be representative of the task rather than being artificially simplified

The EBNA3 Family of Epstein-Barr Virus Nuclear Proteins Associates with the USP46/USP12 Deubiquitination Complexes to Regulate Lymphoblastoid Cell Line Growth

The Epstein-Barr virus (EBV) nuclear proteins EBNA3A, EBNA3B, and EBNA3C interact with the cell DNA binding protein RBPJ and regulate cell and viral genes. Repression of the CDKN2A tumor suppressor gene products p16INK4A and p14ARF by EBNA3A and EBNA3C is critical for EBV mediated transformation of resting B lymphocytes into immortalized lymphoblastoid cell lines (LCLs). To define the composition of endogenous EBNA3 protein complexes, we generated lymphoblastoid cell lines (LCLs) expressing flag-HA tagged EBNA3A, EBNA3B, or EBNA3C and used tandem affinity purification to isolate each EBNA3 complex. Our results demonstrated that each EBNA3 protein forms a distinct complex with RBPJ. Mass-spectrometry revealed that the EBNA3A and EBNA3B complexes also contained the deubquitylation complex consisting of WDR48, WDR20, and USP46 (or its paralog USP12) and that EBNA3C complexes contained WDR48. Immunoprecipitation confirmed that EBNA3A, EBNA3B, and EBNA3C association with the USP46 complex. Using chromatin immunoprecipitation, we demonstrate that WDR48 and USP46 are recruited to the p14ARF promoter in an EBNA3C dependent manner. Mapping studies were consistent with WDR48 being the primary mediator of EBNA3 association with the DUB complex. By ChIP assay, WDR48 was recruited to the p14ARF promoter in an EBNA3C dependent manner. Importantly, WDR48 associated with EBNA3A and EBNA3C domains that are critical for LCL growth, suggesting a role for USP46/USP12 in EBV induced growth transformation

Multimodal analysis of ocular inflammation using the endotoxin-induced uveitis mouse model

Endotoxin-induced uveitis (EIU) in rodents is a model of acute Toll-like receptor 4 (TLR4)-mediated organ inflammation, and has been used to model human anterior uveitis, examine leukocyte trafficking and test novel anti-inflammatory therapeutics. Wider adoption has been limited by the requirement for manual, non-specific, cell-count scoring of histological sections from each eye as a measure of disease severity. Here, we describe a comprehensive and efficient technique that uses ocular dissection and multimodal tissue analysis. This allows matched disease scoring by multicolour flow cytometric analysis of the inflammatory infiltrate, protein analysis on ocular supernatants and qPCR on remnant tissues of the same eye. Dynamic changes in cell populations could be identified and mapped to chemokine and cytokine changes over the course of the model. To validate the technique, dose-responsive suppression of leukocyte infiltration by recombinant interleukin-10 was demonstrated, as well as selective suppression of the monocyte (CD11b+Ly6C+) infiltrate, in mice deficient for either Ccl2 or Ccr2. Optical coherence tomography (OCT) was used for the first time in this model to allow in vivo imaging of infiltrating vitreous cells, and correlated with CD11b+Ly6G+ counts to provide another unique measure of cell populations in the ocular tissue. Multimodal tissue analysis of EIU is proposed as a new standard to improve and broaden the application of this model

Dissipative Chaos in Semiconductor Superlattices

We consider the motion of ballistic electrons in a miniband of a semiconductor superlattice (SSL) under the influence of an external, time-periodic electric field. We use the semi-classical balance-equation approach which incorporates elastic and inelastic scattering (as dissipation) and the self-consistent field generated by the electron motion. The coupling of electrons in the miniband to the self-consistent field produces a cooperative nonlinear oscillatory mode which, when interacting with the oscillatory external field and the intrinsic Bloch-type oscillatory mode, can lead to complicated dynamics, including dissipative chaos. For a range of values of the dissipation parameters we determine the regions in the amplitude-frequency plane of the external field in which chaos can occur. Our results suggest that for terahertz external fields of the amplitudes achieved by present-day free electron lasers, chaos may be observable in SSLs. We clarify the nature of this novel nonlinear dynamics in the superlattice-external field system by exploring analogies to the Dicke model of an ensemble of two-level atoms coupled with a resonant cavity field and to Josephson junctions.Comment: 33 pages, 8 figure

Interpreting Cancer Genomes Using Systematic Host Perturbations by Tumour Virus Proteins

Genotypic differences greatly influence susceptibility and resistance to disease. Understanding genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply as the result of individual genomic variations. Genome sequencing efforts have identified numerous germline mutations associated with cancer predisposition and large numbers of somatic genomic alterations. However, it remains challenging to distinguish between background, or “passenger” and causal, or “driver” cancer mutations in these datasets. Human viruses intrinsically depend on their host cell during the course of infection and can elicit pathological phenotypes similar to those arising from mutations. To test the hypothesis that genomic variations and tumour viruses may cause cancer via related mechanisms, we systematically examined host interactome and transcriptome network perturbations caused by DNA tumour virus proteins. The resulting integrated viral perturbation data reflects rewiring of the host cell networks, and highlights pathways that go awry in cancer, such as Notch signalling and apoptosis. We show that systematic analyses of host targets of viral proteins can identify cancer genes with a success rate on par with their identification through functional genomics and large-scale cataloguing of tumour mutations. Together, these complementary approaches result in increased specificity for cancer gene identification. Combining systems-level studies of pathogen-encoded gene products with genomic approaches will facilitate prioritization of cancer-causing driver genes so as to advance understanding of the genetic basis of human cancer

How to address smart homes with a social robot? A multi-modal corpus of user interactions with an intelligent environment

Holthaus P, Leichsenring C, Bernotat J, et al. How to address smart homes with a social robot? A multi-modal corpus of user interactions with an intelligent environment. In: Calzolari N, ed. LREC 2016, Tenth International Conference on Language Resources and Evaluation. [Proceedings]. Paris: European Language Resources Association (ELRA); 2016: 3440-3446.In order to explore intuitive verbal and non-verbal interfaces in smart environments we recorded user interactions with an intelligent apartment. Besides offering various interactive capabilities itself, the apartment is also inhabited by a social robot that is available as a humanoid interface. This paper presents a multi-modal corpus that contains goal-directed actions of naive users in attempts to solve a number of predefined tasks. Alongside audio and video recordings, our data-set consists of large amount of temporally aligned sensory data and system behavior provided by the environment and its interactive components. Non-verbal system responses such as changes in light or display contents, as well as robot and apartment utterances and gestures serve as a rich basis for later in-depth analysis. Manual annotations provide further information about meta data like the current course of study and user behavior including the incorporated modality, all literal utterances, language features, emotional expressions, foci of attention, and addressees

Welcome to the future – How naïve users intuitively address an intelligent robotics apartment.

Bernotat J, Schiffhauer B, Eyssel FA, et al. Welcome to the future – How naïve users intuitively address an intelligent robotics apartment. In: Agah A, Cabibihan JJ, Howard AM, Salichs MA, He H, eds. Lecture Notes in Artificial Intelligence (LNAI). Vol 9979. Heidelberg/ Berlin: Springer; 2016: 982-992