A5058376127- T-cell and B-cell Immunology
- Single-cell and spatial transcriptomics
- Immune Response and Inflammation
- Antimicrobial Resistance in Staphylococcus
- Antimicrobial Peptides and Activities
- IL-33, ST2, and ILC Pathways
- Liver Diseases and Immunity
- MicroRNA in disease regulation
- Liver Disease Diagnosis and Treatment
- Model Reduction and Neural Networks
- Immune Cell Function and Interaction
- Immune cells in cancer
- Psoriasis: Treatment and Pathogenesis
- Cell Image Analysis Techniques
- Immune responses and vaccinations
- Renal Diseases and Glomerulopathies
- Hepatitis C virus research
- Liver physiology and pathology
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- SARS-CoV-2 and COVID-19 Research
- Marketing and Advertising Strategies
- Adipokines, Inflammation, and Metabolic Diseases
- Circular RNAs in diseases
- Adipose Tissue and Metabolism
- Food Supply Chain Traceability
Universität Hamburg
2020-2025
University Medical Center Hamburg-Eppendorf
2018-2025
München Klinik
2016
Abstract A fundamental problem in biomedical research is the low number of observations available, mostly due to a lack available biosamples, prohibitive costs, or ethical reasons. Augmenting few real with generated silico samples could lead more robust analysis results and higher reproducibility rate. Here, we propose use conditional single-cell generative adversarial neural networks (cscGAN) for realistic generation RNA-seq data. cscGAN learns non-linear gene–gene dependencies from...
Tissue-resident memory-like T H 17 cells are clonally expanded in bronchoalveolar lavage fluid of patients with severe COVID-19.
Although it is well established that microbial infections predispose to autoimmune diseases, the underlying mechanisms remain poorly understood. After infection, tissue-resident memory T (TRM) cells persist in peripheral organs and provide immune protection against reinfection. However, whether TRM participate responses unrelated primary such as inflammation, unknown. By using high-dimensional single-cell analysis, we identified CD4+ with a TH17 signature (termed TRM17 cells) kidneys of...
Staphylococcus aureus is frequently detected in patients with sepsis and thus represents a major health burden worldwide. CD4+ T helper cells are involved the immune response to S. by supporting antibody production phagocytosis. In particular, Th1 Th17 secreting IFN-γ IL-17A, control of systemic infections humans mice. To investigate role severe infections, we established mouse model which kidney was identified be organ highest bacterial load abundance cells. this model, IL-17A but not...
Brown adipose tissue (BAT) comprises a heterogeneous population of adipocytes and non-adipocyte cell types. To characterize these cellular subpopulations their adaptation to cold, we performed single-nucleus mRNA-sequencing (snRNA-seq) on interscapular BAT from mice maintained at room temperature or exposed acute (24h, AC) chronic (10 days, CC) cold (6 degree Celsius). investigate the role de novo lipogenesis (DNL)-regulating transcription factor carbohydrate response element-binding protein...
Significance Statement CD4 + IL-17A–producing T helper (T H 17) cells play a unique role in autoimmune and chronic inflammatory diseases of the kidney, skin, gut. Their proinflammatory functions are mediated through release IL-17A -F, which activate IL-17 receptor A (IL-17RA) IL-17RC signaling pathways epithelial endothelial cells. We report that IL-17RA/IL-17RC complex is highly expressed 17 Disruption IL-17R pathway these potentiates cell pathogenicity accelerates experimental crescentic...
Pro-inflammatory CD4 + T cells are major drivers of autoimmune diseases, yet therapies modulating cell phenotypes to promote an anti-inflammatory state lacking. Here, we identify helper 17 (T H 17) plasticity in the kidneys patients with antineutrophil cytoplasmic antibody–associated glomerulonephritis on basis single-cell (sc) receptor analysis and scRNA velocity. To uncover molecules driving polarization plasticity, established vivo pooled scCRISPR droplet sequencing (iCROP-seq) screen...
Abstract Single-cell-based methods such as flow cytometry or single-cell mRNA sequencing (scRNA-seq) allow deep molecular and cellular profiling of immunological processes. Despite their high throughput, however, these measurements represent only a snapshot in time. Here, we explore how longitudinal single-cell-based datasets can be used for deterministic ordinary differential equation (ODE)-based modelling to mechanistically describe immune dynamics. We derived changes cell numbers colonic...
Abstract A fundamental problem in biomedical research is the low number of observations available, mostly due to a lack available biosamples, prohibitive costs, or ethical reasons. Augmenting few real with generated silico samples could lead more robust analysis results and higher reproducibility rate. Here we propose use conditional single cell Generative Adversarial Neural Networks (cscGANs) for realistic generation RNA-seq data. cscGANs learn non-linear gene-gene dependencies from...
T regulatory type 1 (Tr1) cells, which are defined by their function, lack of Foxp3, and high expression IL-10, CD49b, LAG-3, known to be able suppress Th1 Th17 in the intestine. cells also main drivers crescentic glomerulonephritis (GN), most severe form renal autoimmune disease. However, whether Tr1 emerge inflammation and, moreover, they exhibit function during GN have not been thoroughly investigated yet. To address these questions, we used a mouse model experimental double Foxp3mRFP...
Summary T regulatory type 1 (Tr1) cells, which are defined by their function, lack of Foxp3, high expression IL-10, CD49b, and LAG3, known to be able suppress Th1 Th17 in the intestine. cells also main drivers crescentic glomerulonephritis, most severe form renal autoimmune disease. However, whether Tr1 emerge inflammation moreover, they exhibit function during glomerulonephritis has not been thoroughly investigated yet. To address these questions, we used a mouse model experimental double...
ABSTRACT Single-cell mRNA sequencing (scRNA-seq) allows deep molecular and cellular profiling of immunological processes. Longitudinal scRNA-seq datasets can be used for deterministic ordinary differential equation (ODE)-based modelling to mechanistically describe immune dynamics. Here, we derived longitudinal changes in the abundance six colonic cell types during inflammatory bowel disease (IBD) from data a mouse model colitis using ODE-based models. We then predicted dynamics different...