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Cross-species single-cell transcriptomics and its applications in evolutionary and translational research


Type

Thesis

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Authors

Keitley, Daniel 

Abstract

Single-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.

Description

Date

2023-09-07

Advisors

Benito-Gutiérrez, Èlia
Marioni, John

Keywords

amphioxus, comparative analysis, cross-species, cross-species scRNA-seq, evo-devo, evolution, gastrulation, rabbit, scRNA-seq, single-cell, single-cell RNA-sequencing, single-cell transcriptomics

Qualification

Doctor of Philosophy (PhD)

Awarding Institution

University of Cambridge
Sponsorship
Wellcome Trust PhD Studentship
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