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  1. Article: Degradation of D-2-hydroxyglutarate in the presence of isocitrate dehydrogenase mutations

    Berger, Raffaela / Dettmer, Katja

    Scientific reports, 9:7436

    2019  

    Abstract: D-2-Hydroxyglutarate (D-2-HG) is regarded as an oncometabolite. It is found at elevated levels in certain malignancies such as acute myeloid leukaemia and glioma. It is produced by a mutated isocitrate dehydrogenase IDH1/2, a low-affinity/high-capacity ... ...

    Institution Technische Universität Dortmund. Leibniz-Institut für Arbeitsforschung
    Abstract D-2-Hydroxyglutarate (D-2-HG) is regarded as an oncometabolite. It is found at elevated levels in certain malignancies such as acute myeloid leukaemia and glioma. It is produced by a mutated isocitrate dehydrogenase IDH1/2, a low-affinity/high-capacity enzyme. Its degradation, in contrast, is catalysed by the high-affinity/low-capacity enzyme D-2-hydroxyglutarate dehydrogenase (D2HDH). So far, it has not been proven experimentally that the accumulation of D-2-HG in IDH mutant cells is the result of its insufficient degradation by D2HDH. Therefore, we developed an LC-MS/MS-based enzyme activity assay that measures the temporal drop in substrate and compared this to the expression of D2HDH protein as measured by Western blot. Our data clearly indicate, that the maximum D-2-HG degradation rate by D2HDH is reached in vivo, as vmax is low in comparison to production of D-2-HG by mutant IDH1/2. The latter seems to be limited only by substrate availability. Further, incubation of IDH wild type cells for up to 48 hours with 5 mM D-2-HG did not result in a significant increase in either D2HDH protein abundance or enzyme activity.
    Language English
    Document type Article
    Database Repository for Life Sciences

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  2. Book ; Thesis: Untersuchung der Regenerationsfähigkeit der Niere mittels transgener Mausmodelle

    Leuchtle, Katja

    (Edition Wissenschaft Apprimus)

    2015  

    Author's details Katja Berger
    Series title Edition Wissenschaft Apprimus
    Keywords Nierenkrankheit ; Therapie ; Nierentubulus ; Glomerulus ; Regeneration ; Vorläuferzelle ; Markierungsgen ; Tiermodell
    Subject Genetischer Indikator ; Genmarker ; Markergen ; Genetischer Marker ; Markiergen ; Reportergen ; Indikatorgen ; Molekularer Marker ; Progenitorzelle ; Determinierte Stammzelle ; Restitution ; Glomerulum ; Tubulus renalis ; Medizinische Behandlung ; Behandlung ; Krankenbehandlung ; Nephropathie ; Nierenerkrankung ; Nierenerkrankungen ; Niere ; Renopathie
    Language German
    Size X, 171 S. : Ill., graph. Darst.
    Edition 1. Aufl.
    Publisher Apprimus-Verl
    Publishing place Aachen
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Aachen, Techn. Hochsch., Diss., 2015
    HBZ-ID HT018709472
    ISBN 978-3-86359-324-7 ; 3-86359-324-3
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2015 A 3433 available for loan (reading room) Lesesaal EG

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  3. Article ; Online: Encountering uncertainty and complexity in decision-making: an observational study of clinical reasoning among medical and interprofessional groups of health care students.

    Berger, Sarah / Krug, Katja / Goetz, Katja

    Journal of interprofessional care

    2022  Volume 37, Issue 2, Page(s) 262–271

    Abstract: Poor teamwork and clinical decisions have a major impact on patient outcomes and safety. Clinical decision-making rarely occurs under ideal conditions, but complex health care environments make this particularly challenging for new graduate health ... ...

    Abstract Poor teamwork and clinical decisions have a major impact on patient outcomes and safety. Clinical decision-making rarely occurs under ideal conditions, but complex health care environments make this particularly challenging for new graduate health professionals as beginner practitioners. Recent evidence indicates that effective collaboration also enhances quality of clinical decisions for patients with complex needs. However, collaborative decision-making is not standard in educational curricula, where clinical decision-making is usually taught in profession-specific courses emphasizing individual rationality and cognition. The aim of this study was to gain detailed insights into the practice of clinical decision-making by small groups of medical and other health care students. A qualitative observational study design was used. Students (n = 45) took part in a short role-play of a hospital clinical ethics committee meeting discussing three complex patient cases, considering clinical and ethical aspects of care, and made a group decision about priorities for treatment. Audio-recorded data were transcribed verbatim and inductively analyzed based on Strauss's "Theoretical Coding" approach. Coding and interpretation of transcripts resulted in three key themes: a) values/beliefs as a basis for negotiation; b) encountering obstacles; c) overcoming obstacles. All groups benefited from shared knowledge, assisting each other in dealing with uncertainty and perceived emotional burden. In small groups, they were able to overcome challenges and fulfil a goal potentially beyond many of them as individuals. Provision of learning opportunities where students learn to share expertise and decision-making responsibilities has the potential to optimize their learning in preparation for challenges in future practice.
    MeSH term(s) Humans ; Uncertainty ; Interprofessional Relations ; Delivery of Health Care ; Students ; Clinical Reasoning
    Language English
    Publishing date 2022-06-10
    Publishing country England
    Document type Observational Study ; Journal Article
    ZDB-ID 1099758-1
    ISSN 1469-9567 ; 0884-3988 ; 1356-1820
    ISSN (online) 1469-9567
    ISSN 0884-3988 ; 1356-1820
    DOI 10.1080/13561820.2022.2061928
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2172: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article: Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas.

    Wocher, Matthias / Berger, Katja / Verrelst, Jochem / Hank, Tobias

    ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS)

    2023  Volume 193, Page(s) 104–114

    Abstract: Spaceborne imaging spectroscopy is a highly promising data source for all agricultural management and research disciplines that require spatio-temporal information on crop properties. Recently launched science-driven missions, such as the Environmental ... ...

    Abstract Spaceborne imaging spectroscopy is a highly promising data source for all agricultural management and research disciplines that require spatio-temporal information on crop properties. Recently launched science-driven missions, such as the Environmental Mapping and Analysis Program (EnMAP), deliver unprecedented data from the Earth's surface. This new kind of data should be explored to develop robust retrieval schemes for deriving crucial variables from future routine missions. Therefore, we present a workflow for inferring crop carbon content (
    Language English
    Publishing date 2023-01-16
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1007774-1
    ISSN 0924-2716
    ISSN 0924-2716
    DOI 10.1016/j.isprsjprs.2022.09.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 2024: Show issues

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  5. Book ; Online: Deportiert nach Mauthausen (Volume 2, Edition 1)

    Filipkowski, Piotr / Wiesinger, Barbara Nicole / Botz, Gerhard / Amesberger, Helga / Prenninger, Alexander / Scherbakowa, Irina / Hansen, Imke / Vilanova, Mercedes / Frenkel, Viviana / Auer, Katrin / von Plato, Alexander / Berger, Heinrich / Kabalek, Kobi / Halbmayr, Brigitte / Happe, Katja / Kubátová, Hana / Repe, Bozo / Fritz, Regina / Granet-Abisset, Anne-Marie /
    Hallama, Peter / Dejnega, Melanie / Madon-Mitzner, Katarzyna / Felsen-Escojido, Doris / Aagaard Jensen, Merethe

    2021  

    Keywords The Holocaust ; History ; Holocaust
    Size 1 Online-Ressource
    Document type Book ; Online
    Note German ; Open Access
    HBZ-ID HT021231954
    ISBN 9783205212164 ; 3205212169
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Article ; Online: Remote and Proximal Assessment of Plant Traits

    Ittai Herrmann / Katja Berger

    Remote Sensing, Vol 13, Iss 1893, p

    2021  Volume 1893

    Abstract: The inference of functional vegetation traits from remotely sensed signals is key to providing efficient information for multiple plant-based applications and to solve related problems [.] ...

    Abstract The inference of functional vegetation traits from remotely sensed signals is key to providing efficient information for multiple plant-based applications and to solve related problems [.]
    Keywords n/a ; Science ; Q
    Language English
    Publishing date 2021-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms.

    Verrelst, Jochem / Berger, Katja / Rivera-Caicedo, Juan Pablo

    IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society

    2022  Volume 18, Issue 12, Page(s) 2038–2042

    Abstract: Upcoming satellite imaging spectroscopy missions will deliver spatiotemporal explicit data streams to be exploited for mapping vegetation properties, such as nitrogen (N) content. Within retrieval workflows for real-time mapping over agricultural regions, ...

    Abstract Upcoming satellite imaging spectroscopy missions will deliver spatiotemporal explicit data streams to be exploited for mapping vegetation properties, such as nitrogen (N) content. Within retrieval workflows for real-time mapping over agricultural regions, such crop-specific information products need to be derived precisely and rapidly. To allow fast processing, intelligent sampling schemes for training databases should be incorporated to establish efficient machine learning (ML) models. In this study, we implemented active learning (AL) heuristics using kernel ridge regression (KRR) to minimize and optimize a training database for variational heteroscedastic Gaussian processes regression (VHGPR) to estimate aboveground N content. Several uncertainty and diversity criteria were applied on a lookup table (LUT) composed of aboveground N content and corresponding hyperspectral reflectance simulated by the PROSAIL-PRO model. The best-performing AL criteria were Euclidian distance-based diversity (EBD) resulting in a reduction of the LUT training data set by 81% (50 initial samples plus 141 samples selected from a pool of 1000 samples). This reduced LUT was used for training VHGPR, which is not only a competitive algorithm but also provides uncertainty estimates. Validation against
    Language English
    Publishing date 2022-09-11
    Publishing country United States
    Document type Journal Article
    ISSN 1558-0571
    ISSN (online) 1558-0571
    DOI 10.1109/lgrs.2020.3014676
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Special Issue “Integrated Defense Responses in Crops against Soil-Borne Pathogens”

    Katja Witzel / Beatrice Berger

    Agronomy, Vol 10, Iss 1986, p

    2020  Volume 1986

    Abstract: Soil-borne pathogenic organisms can have severe detrimental effects on crop growth and yield production and represent a serious threat to food security [.] ...

    Abstract Soil-borne pathogenic organisms can have severe detrimental effects on crop growth and yield production and represent a serious threat to food security [.]
    Keywords n/a ; Agriculture ; S
    Language English
    Publishing date 2020-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Impact of Scanbody Geometry and CAD Software on Determining 3D Implant Position.

    Kropfeld, Judith / Berger, Lara / Adler, Werner / Schulz, Katja Leonie / Motel, Constantin / Wichmann, Manfred / Matta, Ragai Edward

    Dentistry journal

    2024  Volume 12, Issue 4

    Abstract: The implementation of CAD software in the digital production of implant prosthetics stands as a pivotal aspect of clinical dentistry, necessitating high precision in the alignment of implant scanbodies. This study investigates the influence of scanbody ... ...

    Abstract The implementation of CAD software in the digital production of implant prosthetics stands as a pivotal aspect of clinical dentistry, necessitating high precision in the alignment of implant scanbodies. This study investigates the influence of scanbody geometry and the method of superimposing in CAD software when determining 3D implant position. A standardized titanium model with three bone-level implants was digitized to create reference STL files, and 10 intraoral scans were performed on Medentika and NT-Trading scanbodies. To determine implant position, the generated STL files were imported into the Exocad CAD software and superimposed-automatically and manually-with the scanbody geometries stored within the software's shape library. Position accuracy was determined by a comparison of the 3D-defined scanbody points from the STL matching files with those from the reference STL files. The R statistical software was used for the evaluation of the data. In addition, mixed linear models and a significance level of 0.05 were applied to calculate the
    Language English
    Publishing date 2024-04-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2681351-8
    ISSN 2304-6767 ; 2304-6767
    ISSN (online) 2304-6767
    ISSN 2304-6767
    DOI 10.3390/dj12040094
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: Special Issue “Integrated defense responses in crops against soil-borne pathogens”

    Witzel, Katja / Berger, Beatrice

    2020  

    Keywords Text ; ddc:630
    Language English
    Publishing country de
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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