0000000000520228

AUTHOR

Anna Katharina Dehof

showing 3 related works from this author

Instruction of haematopoietic lineage choices, evolution of transcriptional landscapes and cancer stem cell hierarchies derived from an AML1-ETO mous…

2013

The t(8;21) chromosomal translocation activates aberrant expression of the AML1-ETO (AE) fusion protein and is commonly associated with core binding factor acute myeloid leukaemia (CBF AML). Combining a conditional mouse model that closely resembles the slow evolution and the mosaic AE expression pattern of human t(8;21) CBF AML with global transcriptome sequencing, we find that disease progression was characterized by two principal pathogenic mechanisms. Initially, AE expression modified the lineage potential of haematopoietic stem cells (HSCs), resulting in the selective expansion of the myeloid compartment at the expense of normal erythro- and lymphopoiesis. This lineage skewing was foll…

cancer stem cellsCancer stem cells; Core binding factor acute myeloid leukaemia; Preclinical mouse model; Therapy target validation; Whole transcriptome sequencingMyeloidtherapy target validationOncogene Proteins FusionCloseupsBiologyGranulocyte-Macrophage Progenitor CellsTranslocation Geneticwhole transcriptome sequencingImmunophenotypingMiceGranulocyte-Macrophage Progenitor CellsCancer stem cellhemic and lymphatic diseasesmedicineAML1-ETOAnimalsCell Lineageacute myeloid leukaemiaLymphopoiesisProgenitor cellt(8;21)Research Articlespreclinical mouse modelGeneticsRegulation of gene expressionAntibiotics AntineoplasticSequence Analysis RNAcore binding factor acute myeloid leukaemiainducible mouse-modelHematopoietic Stem CellsMice Inbred C57BLDisease Models AnimalLeukemia Myeloid AcuteHaematopoiesisPhenotypemedicine.anatomical_structureGene Expression RegulationDoxorubicinCancer researchNeoplastic Stem CellsMolecular MedicineStem cell
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NightShift: NMR shift inference by general hybrid model training - a framework for NMR chemical shift prediction

2013

004 InformatikBiochemistryMolecular Biology004 Data processingComputer Science ApplicationsBMC Bioinformatics
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ProteinScanAR - An Augmented Reality Web Application for High School Education in Biomolecular Life Sciences

2012

Understanding protein structures is a crucial step in creating molecular insight for researchers as well as students and pupils. The enormous scaling gap between an atomic point of view and objects in daily life hampers developing an intuitive relation between them. Especially for high school students, it can be difficult to understand the spatial relations of a protein structure. Due to lack of direct imaging techniques, molecules can only be explored by studying abstract molecular models. Here, the use of Augmented reality (AR) techniques has proven to strongly improve structural perception. In this work we present ProteinScanAR, an augmented reality framework for biomolecular education t…

Structure (mathematical logic)Spatial relationHTML5Relation (database)business.industryHuman–computer interactionComputer scienceWeb applicationThe InternetAugmented realitybusinessLicense2012 16th International Conference on Information Visualisation
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