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University of Groningen Dissecting the temporal dynamics of eukaryotic metabolism in single cells Takhaveev, Vakil

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University of Groningen

Dissecting the temporal dynamics of eukaryotic metabolism in single cells Takhaveev, Vakil

DOI:

10.33612/diss.119793412

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

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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Propositions

1. No sensible interpretation of cell growth can be made without a knowledge of the overall pattern of protein synthesis. – “The Biology of the Cell Cycle”, J.M. Mitchison

2. The synthesis of different biomass components, i.e. proteins, lipids and polysaccharides, is, to some extent, temporally segregated. – Chapter 2, this thesis

3. The existence of the decoupling among fundamental processes underlying cell growth should

make the usage of the term “cell growth” more careful since it does not stand for one process only. – Chapter 2, this thesis

4. Many of the current single-cell-level tools probing metabolism are still at the

proof-of-concept level, which means that thorough in vivo validation is necessary before these tools can be routinely applied for actual research. – from Chapter 1, inspired by Chapter 3, this

thesis

5. The engineered RNA-based biosensor for glycolytic flux makes it possible to read the

functional output of the principal metabolic pathway in real time in single cells. – Chapter 5,

inspired by Chapter 4, this thesis

6. The pleasure of analysing large amounts of scattered data and finding regularities in them can be compared only to the entertainment of working with extraordinary and intelligent people. I was lucky to have both.

7. I am sufficiently proud of my knowing something to be modest about my not knowing all. – «Lolita», V. Nabokov

Dissecting the temporal dynamics of

eukaryotic metabolism in single cells

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