SUPR
Analysis of RNA seq data to understand malaria vector interactions
Dnr:

NAISS 2024/22-307

Type:

NAISS Small Compute

Principal Investigator:

Oliver Billker

Affiliation:

Umeå universitet

Start Date:

2024-03-15

End Date:

2025-04-01

Primary Classification:

10610: Bioinformatics and Systems Biology (methods development to be 10203)

Webpage:

Allocation

Abstract

The project is aimed at identifying genetic networks that regulate the cellular differentiation of malaria parasites and their interaction with the immune system of the mosquito vector. We now explore the transcriptomic time course obtained by bulk RNAseq from a sexual reprogramming experiment to identify the genetic networks regulating sex determination and differentiation. In a related experiment, we used single cell transcriptomics to describe new types and states of mosquito immune cells and their response to Plasmodium infection. Computational resources are required to analyse these data and identify the gene networks that control mosquitoes’s immune responses to infection.