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ABSTRACT: Protea repens population level RNA-seq

PROVIDER: PRJNA427753 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR6425863_1.fastq.gz	Fastqsanger.gz
	SRR6425863_2.fastq.gz	Fastqsanger.gz
	SRR6425864_1.fastq.gz	Fastqsanger.gz
	SRR6425864_2.fastq.gz	Fastqsanger.gz
	SRR6425865_1.fastq.gz	Fastqsanger.gz

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Project description:The zoonotic mosquito-borne filarial nematode Dirofilaria repens causes subcutaneous and ocular infections in dogs, cats and humans. Microfilariae (mf) are taken up by mosquitoes from infected vertebrate hosts which develop in the mosquito to the infectious third stage larvae (L3). These are transmitted to new vertebrate hosts and develop over two further moults to adult worms. The aims of the project were 1) the de novo sequencing and annotation of the D. repens genome and 2) comparative transcriptome analyses of the developmental stages mf and L3 as we hypothesized remarkable differences in gene expression between the different developmental stages. Genomic DNA was obtained from adult male D. repens. RNA was extracted from microfilariae from naturally infected dogs and from L3 produced in Aedes aegypti mosquitoes fed on blood spiked with microfi-lariae. The 99.59 MB genome was around 17% larger than that of the related species D. immitis (dog heartworm) and contained 8.9% fewer predicted genes (10,357). Around 1.8% of identified proteins (206/11,262) could not be mapped to D. immitis. Out of these, 6 (2.9 %) presented an ortholog in all other considered filarial nematodes (e.g. Loa loa) and Caenorhabditis elegans. A sig-nificantly higher number of D. repens proteins as compared to D. immitis mapped to the filarial nem-atode L. loa, reflecting the similarity in biology of D. repens and L. loa. A total of 876 genes were differentially expressed, of which 591 could be annotated in UniProtKB/Swiss-Prot. In particular, 155 genes with a UniProtKB/Swiss-Prot annotation to C. elegans and filarial nematodes were upregulat-ed in the L3 and 57 in the mf stage, respectively. Fifteen GO BP (Gene Ontology Biological Pro-cesses) were significantly enriched for the L3 group and 12 for the mf. These data provide first in-sight into the differential gene expression profiles of this filarial nematode and can serve for future investigations of metabolic processes and stage-specific diagnostics.

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.

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