University of Groningen
Dissecting the temporal dynamics of eukaryotic metabolism in single cells
Takhaveev, Vakil
DOI:
10.33612/diss.119793412
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Publication date: 2020
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Takhaveev, V. (2020). Dissecting the temporal dynamics of eukaryotic metabolism in single cells. University of Groningen. https://doi.org/10.33612/diss.119793412
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Dissecting the temporal dynamics
of eukaryotic metabolism
in single cells
The work published in this thesis was carried out in the research group Molecular Systems Biology of the Groningen Biomolecular Science and Biotechnology Institute (GBB) of the University of Groningen in the Netherlands. The research was financially supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 642738.
ISBN: 978-94-034-2459-0 (printed version) ISBN: 978-94-034-2460-6 (electronic version)
Cover design and layout: Vakil Takhaveev
Copyright © 2020 Vakil Takhaveev
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system of any nature, or transmitted in any form or by any means, electronic, mechanical, including photocopying and recording, without prior written permission of the author.
Dissecting the temporal dynamics
of eukaryotic metabolism
in single cells
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to obtain the degree of PhD at the University of Groningen
on the authority of the Rector Magnificus Prof. C. Wijmenga
and in accordance with the decision by the College of Deans. This thesis will be defended in public on
Monday 29 June 2020 at 18.00 hours
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Prof. B. Teusink Prof. I.J. van der Klei Prof. B. Poolman
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Contents
Chapter 1
Metabolic heterogeneity in clonal microbial populations 9
Aim and outline of this thesis 20
Chapter 2
Temporal segregation among biosynthetic processes is responsible for metabolic
oscillations during eukaryotic cell cycle 31
Chapter 3
A pyruvate FRET-sensor used in animal cells does not function in Saccharomyces
cerevisiae but exposes an oscillatory behaviour of metabolism 105
Chapter 4
A synthetic RNA-based biosensor for fructose-1,6-bisphosphate that reports
glycolytic flux 133
Chapter 5
Proposals for exploring and exploiting the discovered metabolic dynamics and
the developed single-cell-level tools 197
Addendum
Nederlandse samenvatting 208
Curriculum Vitae 211
List of publications and manuscripts 212
Conferences, science communication, grant application and
student supervision 213
