<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-23T18:10:51Z</responseDate><request verb="GetRecord" identifier="oai:www.repository.cam.ac.uk:1810/365923" metadataPrefix="uketd_dc">https://api.repository.cam.ac.uk/server/oai/request</request><GetRecord><record><header><identifier>oai:www.repository.cam.ac.uk:1810/365923</identifier><datestamp>2025-12-19T20:24:12Z</datestamp><setSpec>com_1810_224161</setSpec><setSpec>com_1810_256067</setSpec><setSpec>col_1810_224162</setSpec></header><metadata><uketd_dc:uketddc xmlns:uketd_dc="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:uketdterms="http://naca.central.cranfield.ac.uk/ethos-oai/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/ http://naca.central.cranfield.ac.uk/ethos-oai/2.0/uketd_dc.xsd">
   <dc:title>Dissecting immune interactions in health and disease with multiomics and spatial technologies</dc:title>
   <dc:identifier xsi:type="dcterms:DOI">https://doi.org/10.17863/CAM.106984</dc:identifier>
   <dc:creator>Arutyunyan, Anna</dc:creator>
   <uketdterms:advisor>Vento-Tormo, Roser</uketdterms:advisor>
   <dcterms:abstract>Cells 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.</dcterms:abstract>
   <uketdterms:institution>University of Cambridge</uketdterms:institution>
   <dcterms:issued>2023-09-01</dcterms:issued>
   <dc:type>Thesis</dc:type>
   <uketdterms:qualificationlevel>Doctoral</uketdterms:qualificationlevel>
   <uketdterms:qualificationname>Doctor of Philosophy (PhD)</uketdterms:qualificationname>
   <dc:language>eng</dc:language>
   <uketdterms:sponsor>Wellcome Trust 4-Year PhD Studentship</uketdterms:sponsor>
   <dcterms:isReferencedBy xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/handle/1810/365923</dcterms:isReferencedBy>
   <dc:identifier xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/bitstreams/061771b9-3ef9-4882-8b15-6fea9c7c9af7/download</dc:identifier>
   <uketdterms:checksum xsi:type="uketdterms:MD5">20efb2dc3977b42078be1a6507fb8058</uketdterms:checksum>
   <dcterms:license>https://www.repository.cam.ac.uk/bitstreams/1a2f169f-d642-4cff-8bce-a85981250c3e/download</dcterms:license>
   <uketdterms:checksum xsi:type="uketdterms:MD5">87eda9de84448d1f82354d60eee3eb5f</uketdterms:checksum>
   <dc:rights>https://www.rioxx.net/licenses/all-rights-reserved/</dc:rights>
   <dc:subject>Cell-cell communication</dc:subject>
   <dc:subject>CVID</dc:subject>
   <dc:subject>Maternal-fetal interface</dc:subject>
   <dc:subject>Single-cell genomics</dc:subject>
</uketd_dc:uketddc>
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