A5010218084- Immune Cell Function and Interaction
- MicroRNA in disease regulation
- RNA Interference and Gene Delivery
- T-cell and B-cell Immunology
- Cancer, Hypoxia, and Metabolism
- Glycosylation and Glycoproteins Research
- RNA modifications and cancer
- Cancer, Lipids, and Metabolism
- Ferroptosis and cancer prognosis
- Circular RNAs in diseases
- Single-cell and spatial transcriptomics
- CAR-T cell therapy research
- Metabolism, Diabetes, and Cancer
- Immunotherapy and Immune Responses
German Cancer Research Center
2018-2023
Heidelberg University
2018-2023
VIB-KU Leuven Center for Cancer Biology
2021-2022
KU Leuven
2021-2022
T cells dynamically rewire their metabolism during an immune response. We applied single-cell RNA sequencing to CD8+ activated and differentiated in vitro physiological medium resolve these metabolic dynamics. identify a differential time-dependent reliance of activating on the synthesis versus uptake various non-essential amino acids, which we corroborate with functional assays. also genes that potentially dictate outcome cell differentiation, by ranking them based expression Among them,...
In cancer cells, microRNAs (miRNAs) are often aberrantly expressed resulting in impaired mRNA translation. this study we show that miR-193b and miR-30c-1* inhibit, whereas miR-576-5p accelerates invasion of various human melanoma cell lines. Using Boyden chamber assays the effect selected miRNAs on invasive capacity lines was analyzed. Upon gene expression profiling performed transfected A375 CTGF, THBS1, STMN1, BCL9, RAC1 MCL1 were identified as potential targets. For target validation,...
ABSTRACT Cytotoxic T cells dynamically rewire their metabolism during the course of an immune response. While T-cell has been extensively studied at phenotypic endpoints activation and differentiation, underlying dynamics remain largely elusive. Here, we leverage on single-cell RNA-sequencing (scRNA-seq) measurements in vitro activated differentiated CD8 + cultured physiological media to resolve these metabolic dynamics. We find that our scRNA-seq analysis identifies most changes previously...