A5070447301- Pancreatic function and diabetes
- Single-cell and spatial transcriptomics
- Renal and related cancers
- Tissue Engineering and Regenerative Medicine
- Electrospun Nanofibers in Biomedical Applications
- Pancreatic and Hepatic Oncology Research
- Cell Image Analysis Techniques
de Duve Institute
2021-2023
ABSTRACT Generating comprehensive image maps, while preserving spatial three-dimensional (3D) context, is essential in order to locate and assess quantitatively specific cellular features cell-cell interactions during organ development. Despite recent advances 3D imaging approaches, our current knowledge of the organization distinct cell types embryonic pancreatic tissue still largely based on two-dimensional histological sections. Here, we present a light-sheet fluorescence microscopy...
The pancreas is a complex organ consisting of differentiated cells and extracellular matrix (ECM) organized adequately to enable its endocrine exocrine functions. Although much known about the intrinsic factors that control development, very few studies have focused on microenvironment surrounding pancreatic cells. This environment composed various ECM components, which play critical role in maintaining tissue organization homeostasis. In this study, we applied mass spectrometry identify...
Abstract Development of the pancreas is driven by an intrinsic program coordinated with signals from other cell types in epithelial environment. These intercellular communications have been so far challenging to study because low concentration, localized production and diversity released. Here, we combined scRNAseq data a computational interactomic approach identify involved reciprocal interactions between various developing pancreas. This silico yielded 40,607 potential ligand-target...
ABSTRACT Development of the pancreas is driven by an intrinsic program coordinated with signals from other cell types in epithelial environment. These intercellular communications have been so far challenging to study because low concentration, localized production and diversity released. Here, we combined scRNAseq data a computational interactomic approach identify involved reciprocal interactions between various developing pancreas. This silico yielded 40,607 potential ligand-target...
Abstract Generating comprehensive image maps, while preserving spatial 3D context, is essential to quantitatively assess and locate specific cellular features cell-cell interactions during organ development. Despite the recent advances in imaging approaches, our current knowledge of organization distinct cell types embryonic pancreatic tissue still largely based on 2D histological sections. Here, we present a light-sheet fluorescence microscopy approach pancreas map at key development time...