University of Cambridge
Cross-species single-cell transcriptomics and its applications in evolutionary and translational research
Abstract
dc:description.abstractSingle-cell transcriptomics has emerged as a powerful technology to characterise gene expression within individual cells. Over the last 5 years, as the technology has matured, single-cell techniques have been used to profile cells in species across the tree of life. The availability of single-cell data from a rich diversity of species presents an opportunity to compare gene expression, cell types and developmental programmes across organisms and interpret these transcriptomic observations within a phylogenetic framework. This opens up new possibilities to study the evolution of cell types and infer molecular properties of organisms inaccessible to experimental research. In this thesis, I explore these two applications in the context of early mammalian development and vertebrate brain evolution. I first detail efforts to construct a single-cell atlas of rabbit gastrulation, which offers a new window into human embryogenesis and provides a resource for validating therapeutic targets, or observations from mice, in a non-rodent system. I then present three new approaches to visualise and compare single-cell transcriptomics data from multiple species. These methods overcome challenges of relating gene features and cell types, which may be applicable to contexts beyond the cross-species setting. Finally, I apply comparative single-cell analyses to trace networks of neural development across deuterostomes. This reveals a conserved molecular signature present in the sea urchin, amphioxus and zebrafish embryo and offers a template for future studies to compare vertebrate and invertebrate nervous systems with single-cell approaches.
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
- 2023
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Keitley, Daniel
- Advisors dc:contributor.advisor
-
- Benito-Gutiérrez, Èlia
- Marioni, John
Subjects
dc:subject × 12Rights
dc:rightsIdentifiers
dc:identifier.*- DOI dc:identifier.doi
- https://doi.org/10.17863/CAM.107507
- OAI identifier oai:identifier
- oai:www.repository.cam.ac.uk:1810/366669