- Single-cell and spatial transcriptomics
- Regional Development and Environment
- Genomics and Chromatin Dynamics
- MicroRNA in disease regulation
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- Mycobacterium research and diagnosis
- Mosquito-borne diseases and control
- Cell Image Analysis Techniques
- RNA Research and Splicing
- Medical Research and Treatments
- COVID-19 Clinical Research Studies
- Neuroscience and Neuropharmacology Research
- SARS-CoV-2 and COVID-19 Research
VIB-KU Leuven Center for Cancer Biology
2025
VIB-KU Leuven Center for Brain & Disease Research
2024-2025
KU Leuven
2021-2025
Rega Institute for Medical Research
2021
Combinations of transcription factors govern the identity cell types, which is reflected by genomic enhancer codes. We used deep learning to characterize these codes and devised three metrics compare types in telencephalon across amniotes. To this end, we generated single-cell multiome spatially resolved transcriptomics data chicken telencephalon. Enhancer orthologous nonneuronal γ-aminobutyric acid–mediated (GABAergic) show a high degree similarity amniotes, whereas excitatory neurons...
Identifying cell type-specific enhancers in the brain is critical to building genetic tools for investigating mammalian brain. Computational methods functional enhancer prediction have been proposed and validated fruit fly not yet We organized 'Brain Initiative Cell Census Network (BICCN) Challenge: Predicting Functional Type-Specific Enhancers from Cross-Species Multi-Omics' assess machine learning feature-based designed nominate DNA sequences target types mouse cortex. Methods were...
<b>Background:</b> Treatment of nontuberculous mycobacterial (NTM) infections is often associated with toxicity which may result in treatment adjustments potentially affecting outcome. <b>Objectives:</b> We describe deviations, the reasons behind and outcome patients treated for NTM pulmonary disease (PD) at a tertiary center. <b>Methods:</b> Retrospective, observational cohort adults NTM-PD, according to ATS/IDSA diagnostic criteria, who presented Pulmonology Department UZ Leuven from Jan...
<b>Background</b> Managing nontuberculous mycobacterial (NTM) infections is challenging: resistance a concern, effective drugs are scarce, treatment long and potentially toxic. Because most clinicians' expertise handling NTM limited, national multidisciplinary clinical advisory board was established to support harmonized approach in terms of diagnostic work-up management, share knowledge raise standards care. <b>Methods</b> We report the first year experience consilium. collected data...