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ABSTRACT: Genomic sequencing, RNA-seq, and Iso-seq data of waterlily aphid (Rhopalosiphum nymphaeae)

PROVIDER: PRJNA1015288 | ENA |

REPOSITORIES: ENA

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			Action	DRS
		Other
	SRR26033693_subreads.fastq.gz	Fastqsanger.gz
	SRR26033694_1.fastq.gz	Fastqsanger.gz
	SRR26033694_2.fastq.gz	Fastqsanger.gz
	SRR26033695_subreads.fastq.gz	Fastqsanger.gz

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Project description:The bird cherry-oat aphid (Rhopalosiphum padi L.) (Homoptera: Aphididae) is an important pest on cereals causing plant growth reduction but no specific leaf symptoms. Breeding of barley (Hordeum vulgare L.) for R. padi resistance shows that there are several resistance genes involved, reducing aphid growth. In an attempt to identify candidate sequences for resistance-related genes, we performed a microarray analysis of gene expression after two days of aphid infestation in two susceptible barley lines and two genotypes with partial resistance. One of the four lines is a descendant of two of the other genotypes. The analysis revealed large differences in gene induction between the four lines, indicating substantial variation in response even between closely related genotypes. Genes induced in the aphid-infested tissue were mainly related to defence, primary metabolism and signalling. Only twenty-four genes were induced in all lines, none of them related to oxidative stress or secondary metabolism. Few genes were down-regulated and none of those was common to all four lines. There were differences in aphid-induced gene regulation between resistant and susceptible lines, and results from control plants without aphids also revealed differences in constitutive gene expression between the two types of lines. Candidate sequences for both induced and constitutive resistance factors have been identified, among them a proteinase inhibitor, a Ser/Thr kinase and several thionins. Experiment Overall Design: Four barley genotypes, two (Lina, Kara) with susceptibility to the bird cherry-oat aphid (Rhopalosiphum padi) and two (Hsp5, 28:4) with partial resistance, were infested with R. padi. After 48 h of aphid feeding, changes in transcript accumulation were analysed by comparing aphid-infested plants with control (uninfested) plants for each genotype. For each treatment, 3 biological replicates were analysed. Overlaps and differences in regulation of RNA abundance were identified between the four genotypes. 28:4 is a descendant of Hsp5 and Lina.

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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