Abstract
Biological systems are dynamic and multi-layered, characterized by internal structures with varying levels of complexity that are in constant interplay. For instance, the regulated interaction between gene expression machinery and the biochemical reactions among proteins is crucial for orchestrating cellular functions. This interplay is essential for maintaining life, even in seemingly "simpler" single-cell organisms, amidst an ever-changing external environment. These interactions create a complex web of connections between different biological organization levels, making studying such systems enormously challenging. However, the story does not end there; biological systems have the remarkable ability to evolve. Evolution is fundamental to all living beings on Earth, enabling the vast diversity of forms, shapes, lifestyles, and colors observed in nature. Anticipating evolutionary outcomes has long perplexed scientists. In some cases, evolution appears to follow reproducible trajectories, providing opportunities to investigate factors that may constrain evolutionary paths while controlling for external environmental in_uences. One such factor, discovered in the past century, is epistasis, which refers to the variable effect of a gene mutation depending on the presence or absence of mutations in other genes. This concept has played a pivotal role in shaping our understanding of evolutionary processes. In this thesis, we examine the effects of epistatic mutations on a genome-wide scale within a speci_c evolutionary trajectory...
Original language | English |
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Qualification | Doctor of Philosophy |
Awarding Institution |
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Supervisors/Advisors |
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Award date | 5 Feb 2025 |
Electronic ISBNs | 978-94-6518-018-2 |
DOIs | |
Publication status | Published - 2025 |
Keywords
- Functional genomics
- Cellular biophysics
- Functional redundancy
- Protein copy number
- SATAY
- Genetic interactions
- Epistasis
- Experimental evolution
- S.cerevisiae
Fingerprint
Dive into the research topics of 'Unlocking the hidden dance of cellular resilience: Exploring the evolutionary adaptation of the cell polarity machinery in S.cerevisiae'. Together they form a unique fingerprint.Datasets
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Shotgun mass spectrometry raw dataset on budding yeast cells
Iñigo de la Cruz, L. M. (Creator), Pabst, M. (Creator) & Sweep, E. (Creator), TU Delft - 4TU.ResearchData, 3 Jul 2023
DOI: 10.4121/7FCD8E37-D105-4A7A-A546-37D55B0A57DD
Dataset/Software: Dataset
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Python notebook to generate the cell sizes changes across yeast mutants (Figure 3 Panel D from paper: "Adaptability and evolution of the cell polarization machinery in budding yeast")
Iñigo de la Cruz, L. M. (Creator), TU Delft - 4TU.ResearchData, 16 Sept 2020
DOI: 10.4121/12962393, https://doi.org/10.1101/2020.09.09.290510
Dataset/Software: Software
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Cell size measurements using microscopy for the yeast mutants dbem1, dbem1dbem3 and the wild type using the CDC42-GAL promoter
Iñigo de la Cruz, L. M. (Creator) & Laan, L. (Creator), TU Delft - 4TU.ResearchData, 16 Sept 2020
DOI: 10.4121/12961541
Dataset/Software: Dataset