Project description:We report the application of single-cell-based sequencing technology for high-throughput profiling of cell types and and transcriptional state of cells in the complex tissue of the human airway epithelium. Our model system is that of polarized human airway epithelial cultures, differentiated from hTert-immortalized basal-like precursor cells.
Project description:We report the application of single-cell-based RNA sequencing technology for high-throughput profiling of mice abdominal aortic aneurysm cell type dependent transcriptome. This study provides insight in the expression profile of aortic tissue macrophages in pathological conditions related to cardiovascular diseases.
Project description:We report the application of single-cell-based RNA sequencing technology for high-throughput profiling of mice abdominal aortic aneurysm cell type dependent transcriptome. This study provides insight in the expression profile of aortic tissue macrophages in pathological conditions related to cardiovascular diseases.
Project description:Kilian2024 - Immune cell dynamics in Cue-Induced Extended Human Colitis Model
Single-cell technologies such as scRNA-seq and flow cytometry provide critical insights into immune cell behavior in inflammatory bowel disease (IBD). However, integrating these datasets into computational models for dynamic analysis remains challenging. Here, Kilian et al., (2024) developed a deterministic ODE-based model that incorporates these technologies to study immune cell population changes in murine colitis. The model parameters were optimized to fit experimental data, ensuring an accurate representation of immune cell behavior over time. It was then validated by comparing simulations with experimental data using Pearson’s correlation and further tested on independent datasets to confirm its robustness. Additionally, the model was applied to clinical bulk RNA-seq data from human IBD patients, providing valuable insights into immune system dynamics and potential therapeutic strategies.
Figure 4c, obtained from the simulation of human colitis model is highlighted here.
This model is described in the article:
Kilian, C., Ulrich, H., Zouboulis, V.A. et al. Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease. npj Syst Biol Appl 10, 69 (2024). https://doi.org/10.1038/s41540-024-00395-9
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 longitudinal changes in cell numbers of colonic cell types during inflammatory bowel disease (IBD) from flow cytometry and scRNA-seq data of murine colitis using ODE-based models. Our mathematical model generalised well across different protocols and experimental techniques, and we hypothesised that the estimated model parameters reflect biological processes. We validated this prediction of cellular turnover rates with KI-67 staining and with gene expression information from the scRNA-seq data not used for model fitting. Finally, we tested the translational relevance of the mathematical model by deconvolution of longitudinal bulk mRNA-sequencing data from a cohort of human IBD patients treated with olamkicept. We found that neutrophil depletion may contribute to IBD patients entering remission. The predictive power of IBD deterministic modelling highlights its potential to advance our understanding of immune dynamics in health and disease.
This model was curated during the Hackathon hosted by BioMed X GmbH in 2024.
Project description:Purpose: The goals of this study are to study the expression of Sfxn3 in C57B/L6 mouse retina and retinal cell types Methods: Library prepared followed by 10X Genomics standard protocol. Transcriptome were generated by high throughput sequencing
Project description:We report the application of single-molecule-based sequencing technology for high-throughput profiling of bone marrow Ewing patients
