A5013355074- Cancer-related molecular mechanisms research
- Neuroblastoma Research and Treatments
- Molecular Biology Techniques and Applications
- Cancer, Hypoxia, and Metabolism
- Single-cell and spatial transcriptomics
- Protein Degradation and Inhibitors
- Immune Cell Function and Interaction
- MicroRNA in disease regulation
- Glioma Diagnosis and Treatment
- CAR-T cell therapy research
- Mast cells and histamine
- Lung Cancer Research Studies
- Reproductive System and Pregnancy
- RNA modifications and cancer
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
- Cancer Immunotherapy and Biomarkers
- Acute Myeloid Leukemia Research
- T-cell and B-cell Immunology
Essen University Hospital
2024
Hopp Children's Cancer Center Heidelberg
2020-2024
German Cancer Research Center
2020-2024
Heidelberg University
2020-2024
Novartis Institutes for BioMedical Research
2020
University Hospital Bonn
2020
Novartis (Switzerland)
2020
Abstract Background RNA profiling technologies at single-cell resolutions, including and single-nuclei sequencing (scRNA-seq snRNA-seq, scnRNA-seq for short), can help characterize the composition of tissues reveal cells that influence key functions in both healthy disease tissues. However, use these is operationally challenging because high costs stringent sample-collection requirements. Computational deconvolution methods infer bulk-profiled samples using scnRNA-seq-characterized cell...
Understanding the mechanisms that regulate T cell immunity is critical for development of effective therapies diseases associated with dysfunction, including autoimmune diseases, chronic infections, and cancer. Co-inhibitory “checkpoint molecules,” such as programmed death protein-1, balance excessive or prolonged immune activation by cell–intrinsic signaling. Here, screening mediators natural killer (NK) recognition on cells, we identified immunoglobulin superfamily ligand B7H6 to be highly...
The histone 3 lysine 79 (H3K79) methyltransferase (HMT) DOT1L is known to play a critical role for growth and survival of MLL-rearranged leukemia. Serendipitous observations during high-throughput drug screens indicated that the use inhibitors might be expandable multiple myeloma (MM). Through pharmacologic genetic experiments, we could validate essential viability subset MM cell lines, in line with recent report from another team. In vivo activity against established xenografts was observed...
Abstract Neuroblastoma is a pediatric tumor of the adrenergic sympathetic lineage. Most high risk neuroblastoma go in complete clinical remission by chemotherapy, which subsequently complemented retinoic acid (RA) maintenance therapy. However, unresolved mechanisms most tumors ultimately relapse as therapy-resistant disease. cell lines were recently found to include, besides lineage committed (ADRN) cells, also immature mesenchymal (MES) cells. Here, we report that MES-type cells synthesize...
Activating mutations in the human KIT receptor is known to drive severe hematopoietic disorders and tumor formation spanning various entities. The most common mutation substitution of aspartic acid at position 816 valine (D816V), rendering constitutively active independent ligand binding. As role placental signaling cascades poorly understood, we analyzed impact KITD816V expression on development using a humanized mouse model. Placentas from animals present with grossly changed morphology,...
ABSTRACT Homozygous inactivation of the CDKN2A locus is one most common genomic aberrations in human cancer. The codes for two unrelated and distinctly regulated proteins: p14ARF p16INK4a, which inhibit MDM2 CDK4/6, respectively. Loss also a recurrent event relapsed neuroblastoma, childhood tumour that arises from neural crest cells. To examine consequences loss distinct gene transcripts we used CRISPR-Cas9 system to knockout p14, p16 p14 + SY5Y RNA sequencing transcriptome revealed striking...
ABSTRACT RNA profiling technologies at single-cell resolutions, including and single-nuclei sequencing (scRNA-Seq snRNA-Seq, scnRNA-Seq for short), can help characterize the composition of tissues reveal cells that influence key functions in both healthy disease tissues. However, use these is operationally challenging because high costs stringent sample-collection requirements. Computational deconvolution methods infer bulk-profiled samples using scnRNA-Seq-characterized cell types broaden...