<?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>2026-09-21T20:41:32Z</responseDate><request verb="GetRecord" identifier="oai:www.repository.cam.ac.uk:1810/343265" metadataPrefix="uketd_dc">https://api.repository.cam.ac.uk/server/oai/request</request><GetRecord><record><header><identifier>oai:www.repository.cam.ac.uk:1810/343265</identifier><datestamp>2023-12-22T13:59:02Z</datestamp><setSpec>com_1810_245118</setSpec><setSpec>com_1810_34581</setSpec><setSpec>col_1810_245119</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>DNA G-quadruplex structures in human cancer cells</dc:title>
   <dc:identifier xsi:type="dcterms:DOI">10.17863/CAM.90676</dc:identifier>
   <dc:creator>Hui, Wai In</dc:creator>
   <uketdterms:authoridentifier xsi:type="uketdterms:ORCID">0000000180410218</uketdterms:authoridentifier>
   <uketdterms:advisor>Balasubramanian, Shankar</uketdterms:advisor>
   <dcterms:abstract>DNA structures alternative to the double helix have emerged as key features of the genome for the understanding of genetics and diseases. In particular, G-quadruplexes (G4s), four-stranded structures formed in guanine-rich sequences of cellular chromatin, are implicated in transcription, replication and genome stability. G4s may also present new opportunities for targeting in anti-cancer therapeutic interventions with small molecules. In this thesis, I expand the G4-profiling toolkit to better understand the biological roles of G4s, and potentially offer practical insights for G4-targeting drug development.

First, quantitative G4-chromatin immunoprecipitation with sequencing (qG4-ChIP-seq), a method for mapping and comparing G4 landscapes between samples, was used to study G4s in cell lines and patient-derived tumour xenografts from different breast cancer subtypes. Differentially enriched G4s in each cancer model were associated with copy number aberrations and single-nucleotide variants, as well as common breast cancer driver regions, suggesting a link between cancer genome instability and G4 structure formation.

Subsequently, to increase the versatility of G4 profiling, I developed G4-Cleavage Under Targets and Tagmentation (G4-CUT&amp;Tag), a more efficient method to profile G4s with higher signal-to-noise ratio and 100-fold lower cellular input than G4-ChIP-seq. Further pushing the detection limit, I optimised G4-CUT&amp;Tag for the first mapping of G4s at single-cell resolution. I demonstrated that individual cell identity can be discerned within a mixed cellular population based solely on single-cell G4 profiles. This result demonstrates that G4 signatures in individual cells relate to the fundamental identity of a cell. Next, I developed single-nuclei G4&amp;RNA-seq, a multiomic method to simultaneously profile G4s and poly(A)-tailed RNA within the same single nucleus. Preliminary data provides proof-of-principle to directly associate G4 formation at individual loci with their transcriptional output within individual cells. Using this approach, I then showed its potential applications in discerning G4 landscapes in different cellular states with reference to cell cycle transcriptomic data within a mixed cell population. My work now enables future genomic investigations on cell-to-cell variation of a DNA secondary structure relative to other chromatin features that were previously not possible.

Overall, this thesis demonstrates advancements in G4-profiling methodologies and enables a high resolution and multi-dimensional exploration of the incidence of G4s and their functions.</dcterms:abstract>
   <uketdterms:institution>University of Cambridge</uketdterms:institution>
   <dcterms:issued>2022-07-01</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>
   <dcterms:isReferencedBy xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/handle/1810/343265</dcterms:isReferencedBy>
   <dc:identifier xsi:type="dcterms:URI">https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/65f7ba5e-530f-4900-84a9-9cbebe3808de/download</dc:identifier>
   <uketdterms:checksum xsi:type="uketdterms:MD5">0ab68efe32bb4295cf9594b1647ed38d</uketdterms:checksum>
   <dc:rights>https://www.rioxx.net/licenses/all-rights-reserved/</dc:rights>
   <dc:subject>cancer</dc:subject>
   <dc:subject>G-quadruplex</dc:subject>
   <dc:subject>single-cell sequencing</dc:subject>
   <dc:subject>transcription</dc:subject>
</uketd_dc:uketddc>
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