University of Cambridge
Dissecting immune interactions in health and disease with multiomics and spatial technologies
Abstract
dc:description.abstractCells are the basic building blocks of life, forming the enormous plethora of tissues and living organisms on Earth. They have a high diversity of phenotypes and functions in different environments. The high-throughput tools to profile different modalities from a single cell have grown exponentially in recent years. This now allows us to draw a complete picture of how cells function in different environments for the first time. In the work of my thesis, I use high-throughput multiomics and spatial technologies to create comprehensive cell atlases. I focus on studying the immune cell communication among themselves and with other cells in the context of disease and development. Chapter 1 starts with an outline of the background on cell biology and the impact that genomic technologies have on how we can study cellular processes. I then discuss the experimental methodology of high-throughput multiomics and spatial techniques, and computational tools for the analysis of such data. Following is the introduction to the two projects comprising the work of my thesis: (i) a multiomics study of Common Variable Immunodeficiency (CVID) and, (ii) a spatial multiomics map of the Maternal-Fetal Interface (MFI) in early pregnancy in humans. Chapter 2 outlines materials and methods used in this work, showcasing the workflow for each project. Chapter 3 details the multiomics atlas of Common Variable Immunodeficiency (CVID). This condition is characterised by defects in the function of B cells, a type of adaptive immune cells capable of producing antibodies to fight infections. I analyse gene expression and chromatin accessibility data of B cells from a pair of monozygotic CVID-discordant twins. I uncover potential defects in the epigenome of the affected twin’s B cells. Next, after in vitro stimulation of these twins’ PBMCs, I observe CVID-associated transcriptional dysregulation in immune subsets additional to those in B cells. I discover defects in the immune cell crosstalk between B cells and other immune compartments of the CVID twin. With an expanded cohort of CVID patients and healthy individuals, I go on to further validate these findings. These results show that, in addition to B-cell-intrinsic alterations, defects in cell-cell communication between B cells and other immune compartments may be compromising the correct immune response in CVID. Chapter 4 presents the work on creating a comprehensive spatial multiomics atlas of the maternal-fetal interface in early pregnancy. Firstly, I characterise the signatures and differentiation trajectories of trophoblast cells - the building blocks of placenta. I then focus on the crosstalk between invading trophoblast and maternal immune cells. I predict putative cell-cell communication events and validate in situ the selected molecules mediating these interactions. I propose a model of arterial transformation facilitated by fetal trophoblast and their communication with maternal cells. This work expands our knowledge about the cellular and molecular players in the maternal-fetal dialog in the first trimester of pregnancy, definitive of its success. Chapter 5 describes the work on modelling the dialog between decidual natural killer (dNK) cells, a type of innate immune cell most abundant in pregnant decidua, and the invading trophoblast at the maternal-fetal interface using primary trophoblast organoids (PTO). I benchmark the PTO system against the in vivo trophoblast atlas I described in chapter 4. After defining trophoblast cell states in vitro, I perform comparative analysis of PTOs stimulated with a cocktail of chemokines that in vivo are secreted by dNK cells and unstimulated PTOs as control. I propose a putative effect of the signals from dNK cells on trophoblast invasion in the first trimester of pregnancy. Lastly, Chapter 6 provides an overview of all the described work, as well as a discussion of how the novel high-throughput multiomic and spatial technologies together with in vitro models shape our current view of fundamental biology, and how they will impact future directions of research.
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
-
- Arutyunyan, Anna
- Advisor dc:contributor.advisor
-
- Vento-Tormo, Roser
Subjects
dc:subject × 4Rights
dc:rightsIdentifiers
dc:identifier.*- DOI dc:identifier.doi
- https://doi.org/10.17863/CAM.106984
- OAI identifier oai:identifier
- oai:www.repository.cam.ac.uk:1810/365923