<?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>2026-09-23T13:36:57Z</responseDate><request verb="GetRecord" identifier="oai:www.repository.cam.ac.uk:1810/273868" metadataPrefix="uketd_dc">https://api.repository.cam.ac.uk/server/oai/request</request><GetRecord><record><header><identifier>oai:www.repository.cam.ac.uk:1810/273868</identifier><datestamp>2025-12-20T02:23:37Z</datestamp><setSpec>com_1810_246859</setSpec><setSpec>com_1810_34581</setSpec><setSpec>col_1810_263978</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>Multiplexed biochemical imaging reveals the extent and complexity of non-genetic heterogeneity in DNA damage-induced caspase dynamics.</dc:title>
   <dc:identifier xsi:type="dcterms:DOI">10.17863/CAM.20943</dc:identifier>
   <dc:creator>Fries, Maximilian Werner</dc:creator>
   <uketdterms:advisor>Venkitaraman, Ashok R.</uketdterms:advisor>
   <dcterms:abstract>Genetically identical cells show a heterogeneous response to a multitude of signals
such as growth factors and DNA damage. While this heterogeneity has been shown to be a
major determinant of treatment success in several diseases including cancer, little is known
about how differences in biochemical signalling networks underlie such heterogeneity.
State-of-the-art methodologies to study biochemical networks are often invasive and enable to
quantify biochemical events only on cell populations or at a single point in time for a single cell,
and therefore, cannot adequately quantify the fast, asynchronous and heterogeneous
responses. In order to address these limitations, we have developed a unique sensing platform
based on fluorescence lifetime imaging microscopy (FLIM) capable to multiplex at least three
biosensors by utilizing Förster Resonance Energy Transfer (FRET) efficiently.
After an overall introduction in Chapter 1, I describe the rational design and characterization
of novel FRET pairs aiming to utilize the visible spectrum efficiently in combination with FLIM
in Chapter 2. We combined blue, green and red donor fluorescent proteins that are excited at
the same wavelength (840 nm for two-photon excitation) with genetically encoded quenchers,
i.e. non-fluorescent chromoproteins as acceptors. This sensing platform enables the
simultaneous detection of three biochemical reactions within single living cells providing new
opportunities to characterize and understand non-genetic heterogeneity.
In Chapter 3, I will demonstrate the first application of this novel platform by studying the activity
of three key enzymes in DNA damage-induced cell death, caspase-2, -3, and -9. We confirm
the heterogeneous nature of Cisplatin-induced cell death in genetically identical cells but reveal
the existence of at least three subpopulations of cells characterized by distinct caspase
dynamics. By combining biochemical and morphological information we infer the existence of
different biochemical network topologies that are associated with alternative death phenotypes
each cell adopts, such as apoptosis and programmed necrosis.
Finally, deconvolution of cellular populations and direct measurement of a three-node caspase
network - formerly impossible - permitted us to design perturbations of cell fate choices utilizing
clinically relevant inhibitors. These perturbations resulted in changes in cell fate in response to
Cisplatin, a clinically desirable outcome that suggests new avenues for combinatorial drugging
and a new strategy to reveal cancer vulnerabilities that may be otherwise confounded by typical
genetic and non-genetic heterogeneity.</dcterms:abstract>
   <uketdterms:institution>University of Cambridge</uketdterms:institution>
   <dcterms:issued>2018-04-28</dcterms:issued>
   <dc:type>Thesis</dc:type>
   <uketdterms:qualificationlevel>Doctoral</uketdterms:qualificationlevel>
   <uketdterms:qualificationname>Doctor of Philosophy (PhD)</uketdterms:qualificationname>
   <dc:language>en</dc:language>
   <uketdterms:sponsor>Gates Cambridge Trust</uketdterms:sponsor>
   <dcterms:isReferencedBy xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/handle/1810/273868</dcterms:isReferencedBy>
   <dcterms:license>https://www.repository.cam.ac.uk/bitstreams/e6550d42-aa3b-4865-8af8-e31c8a67ee41/download</dcterms:license>
   <uketdterms:checksum xsi:type="uketdterms:MD5">87eda9de84448d1f82354d60eee3eb5f</uketdterms:checksum>
   <dc:identifier xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/bitstreams/f2e3dcf7-fdd6-41e2-b3ec-b027257d78a9/download</dc:identifier>
   <uketdterms:checksum xsi:type="uketdterms:MD5">15b8f4fb65933cde78283e8f5a33aa15</uketdterms:checksum>
   <dc:rights>https://www.rioxx.net/licenses/all-rights-reserved/</dc:rights>
   <dc:subject>Apoptosis</dc:subject>
   <dc:subject>Caspase</dc:subject>
   <dc:subject>FLIM</dc:subject>
   <dc:subject>MICROSCOPY</dc:subject>
   <dc:subject>FRET</dc:subject>
   <dc:subject>Multiplexing</dc:subject>
   <dc:subject>DNA Damage</dc:subject>
   <dc:subject>Fluorescent proteins</dc:subject>
</uketd_dc:uketddc>
</metadata></record></GetRecord></OAI-PMH>