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University of Cambridge

Understanding Developmental Decision Making in Malaria Parasites using Single-Cell Transcriptomics

Abstract

dc:description.abstract

Single-cell sequencing has the potential to revolutionise our understanding of malaria parasites. Malaria is caused by single-celled parasitic organisms of the genus Plasmodium which display remarkable cellular plasticity during their complex life cycle with large variations in size (1.2 to 50 μm) and the environments they inhabit in mammalian and mosquito hosts. Clinical symptoms of malaria result from asexual replication within red blood cells, whereas transmission to new hosts relies on fertilisation and replication in the mosquito. Both disease development and transmission are therefore underpinned by the parasite’s ability to serially differentiate into morphologically distinct forms. This versatility is orchestrated by tight regulation of a compact genome where, despite the importance of malaria in global health, the function of ~40% of genes remains unknown. Better understanding of gene use and gene function throughout the parasite’s life cycle is needed to inform the development of much needed new drugs, vaccines, and transmission-blocking strategies. The dearth in gene function knowledge is largely due to the inadequacy of bulk RNA-seq in profiling dynamic stages where there are fast transitions and insufficient methods to synchronize the population. In addition, some species of parasites such as P. malariae remain unprofiled at the transcriptional level due to the fact it is usually found at a low parasitemia in humans and is commonly co-infected with another species. Profiling of Plasmodium parasites using scRNA-seq would overcome these limitations. During my PhD, I used scRNA-seq to build a Malaria Cell Atlas which profiled all stages in the P. berghei life cycle using a modified Smart-seq2 protocol. In addition, I profiled the blood stages responsible for malaria symptoms at higher-cell-coverage using droplet-based scRNA-Seq in P. berghei, P. falciparum, and P. knowlesi. This work was followed by specifically profiling the sexual development of wild-type and single knock-out mutant P. berghei parasites using both droplet- and plate-based scRNA-seq. This has led to the identification of novel essential genes in gametocytogenesis and a greater understanding of the genes expressed during this developmental process which will be important in developing novel transmission-blocking strategies. I then developed and applied a scRNA-seq preservation protocol in order to profile circulating forms of P. malariae and P. falciparum from in vivo infections of volunteers in Mbita, Kenya.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Russell, Andrew
Advisors dc:contributor.advisor
  • Voet, Thierry
  • Billker, Oliver
  • Lawniczak, Mara

Subjects

dc:subject × 5

Rights

dc:rights
Language dc:language
eng

Identifiers

dc:identifier.*
Author Identifier
0000-0001-5411-2807
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/319601

Chain of custody

source
Harvested from
Cambridge University
Base URL
api.repository.cam.ac.uk/server/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Russell, Andrew. Understanding Developmental Decision Making in Malaria Parasites using Single-Cell Transcriptomics. Doctoral thesis, University of Cambridge, 2020. https://doi.org/10.17863/CAM.66721