Mechanical properties of cells and their environment have an undeniable impact on physiological and pathological processes such as tissue development or cancer metastasis. Hence, there is a pressing need for establishing and validating methodologies for measuring the mechanical properties of cells, as well as for deciphering the molecular underpinnings that govern the mechanical phenotype. During my doctoral research, I addressed these needs by pushing the boundaries of the field of single-cell mechanics in four projects, two of which were method-oriented and two explored important biological questions. First, I consolidated real-time deformability cytometry as a method for high-throughput single-cell mechanical phenotyping and contributed to its transformation into a versatile image-based cell characterization and sorting platform. Importantly, this platform can be used not only to sort cells based on image-derived parameters, but also to train neural networks to recognize and sort cells of interest based on raw images. Second, I performed a cross-laboratory study comparing three microfluidics-based deformability cytometry approaches operating at different timescales in two standardized assays of osmotic shock and actin disassembly. This study revealed that while all three methods are sensitive to osmotic shock-induced changes in cell deformability, the method operating at the shortest timescale is not suited for detection of actin cytoskeleton changes. Third, I demonstrated changes in cell mechanical phenotype associated with cell fate specification on the example of differentiation and de-differentiation along the neural lineage. In the process of reprogramming to pluripotency, neural precursor cells acquired progressively stiffer phenotype, that was reversed in the process of neural differentiation. The stiff phenotype of induced pluripotent stem cells was equivalent to that of embryonic stem cells, suggesting that mechanical properties of cells are inherent to their developmental stage. Finally, I identified and validated novel target genes involved in the regulation of mechanical properties of cells. The targets were identified using machine learning-based network analysis of transcriptomic profiles associated with mechanical phenotype change, and validated computationally as well as in genetic perturbation experiments. In particular, I showed that the gene with the best in silico performance, CAV1, changes the mechanical properties of cells when silenced or overexpressed. Identification of novel targets for mechanical phenotype modification is crucial for future explorations of physiological and pathological roles of cell mechanics. Together, this thesis encompasses a collection of contributions at the frontier of single-cell mechanical characterization across timescales and cell state transitions, and lays ground for turning cell mechanics from a correlative phenomenological parameter to a controllable property.:Abstract Kurzfassung List of Publications Contents Introduction Chapter 1 — Background 1.1. Mechanical properties as a marker of cell state in health and disease 1.2. Functional relevance of single-cell mechanical properties 1.3. Internal structures determining mechanical properties of cells 1.4. Cell as a viscoelastic material 1.5. Methods to measure single-cell mechanical properties Aims and scope of this thesis Chapter 2 — RT-DC as a versatile method for image-based cell characterization and sorting 2.1. RT-DC for mechanical characterization of cells 2.1.1. Operation of the RT-DC setup 2.1.2. Extracting Young’s modulus from RT-DC data 2.2. Additional functionalities implemented to the RT-DC setup 2.2.1. 1D fluorescence readout in three spectral channels 2.2.2. SSAW-based active cell sorting 2.3. Beyond assessment of cell mechanics — emerging applications 2.3.1. Deformation-assisted population separation and sorting 2.3.2. Brightness-based identification and sorting of blood cells 2.3.3. Transferring molecular specificity into label-free cell sorting 2.4. Discussion 2.5. Key conclusions 2.6. Materials and experimental procedures 2.7. Data analysis Chapter 3 — A comparison of three deformability cytometry classes operating at different timescales 3.1. Results 3.1.1. Representatives of the three deformability cytometry classes 3.1.2. Osmotic shock-induced deformability changes are detectable in all three methods 3.1.3. Ability to detect actin disassembly is method-dependent 3.1.4. Strain rate increase decreases the range of deformability response to actin disassembly in sDC 3.2. Discussion 3.3. Key conclusions 3.4. Materials and methods Chapter 4 — Mechanical journey of neural progenitor cells to pluripotency and back 4.1. Results 4.1.1. fNPCs become progressively stiffer during reprogramming to pluripotency 4.1.2. Transgene-dependent F-class cells are more compliant than ESC-like iPSCs 4.1.3. Surface markers unravel mechanical subpopulations at intermediate reprogramming stages 4.1.4. Neural differentiation of iPSCs mechanically mirrors reprogramming of fNPCs 4.1.5. The closer to the pluripotency, the higher the cell stiffness 4.2. Discussion 4.3. Key conclusions 4.4. Materials and methods Chapter 5 — Data-driven approach for de novo identification of cell mechanics regulators 5.1. Results 5.1.1. An overview of the mechanomics approach 5.1.2. Model systems characterized by mechanical phenotype changes 5.1.3. Discriminative network analysis on discovery datasets 5.1.4. Conserved functional network module comprises five genes 5.1.5. CAV1 performs best at classifying soft and stiff cell states in validation datasets 5.1.6. Perturbing expression levels of CAV1 changes cells stiffness 5.2. Discussion 5.3. Key conclusions 5.4. Materials and methods Conclusions and Outlook Appendix A Appendix B Supplementary Tables B.1 – B.2 Supplementary Figures B.1 – B.9 Appendix C Supplementary Tables C.1 – C.2. Supplementary Figures C.1 – C.5 Appendix D Supplementary Tables D.1 – D.6 Supplementary Figures D.1 – D.7 List of Figures List of Tables List of Abbreviations. List of Symbols References Acknowledgements

Organisms are frequently exposed to fluctuating environmental conditions and might consequently experience stress. Environmental stress can damage cellular components, which can threaten especially single-celled organisms, such as yeast, as they cannot escape. To survive, cells mount protective stress responses, which serve to preserve cellular components and architecture. Recent findings in yeast show that the stress response upon energy depletion stress involves a gelation of the cytoplasm due to macromolecular protein assembly, characterized by drastic changes in cytoplasmic material properties. Remarkably, the stress-induced cytoplasmic gelation is protective, raising the question whether this could be a common strategy of cells to cope with severe stress. I hypothesized that protein aggregation induced by another common stress, severe heat shock, might cause a similar cytoplasmic gelation in yeast. Furthermore, I hypothesized that the reversibility of cytoplasmic gelation is provided by molecular chaperones, which are known regulators of protein aggregation. In this thesis, I therefore aimed to characterize the changes in the material properties of the cytoplasm upon severe heat shock as well as their underlying causes and how molecular chaperones affect these changes. To characterize heat-induced changes in the material properties of the cytoplasm, I monitored Schizosaccharomyces pombe cells during recovery from severe heat shock using a combination of cell mechanical assays, time-lapse microscopy and single-particle tracking. I found that the cells entered a prolonged growth arrested state upon stress, which coincided with significant cell stiffening and a long-range motion arrest of lipid droplets in the cytoplasm, while smaller cytoplasmic nanoparticles remained mostly mobile. At the same time, a significant fraction of proteins aggregated in the cytoplasm, forming insoluble inclusions such as heat shock granules. After stress cessation, the observed changes were reversed as stiffened cells softened and lipid droplets resumed long-range motion. Cell softening and lipid droplet motion recovery coincided with protein disaggregation. These processes could be delayed by impairing protein disaggregation through genetic perturbation of the molecular chaperone Hsp104, which functions as a protein disaggregase. In contrast, no influence on protein disaggregation or heat-induced cytoplasmic material property changes was detected for the small heat shock protein Hsp16. These results suggest that the cytoplasm gels upon severe heat shock due to protein aggregation and is refluidized during recovery with the help of Hsp104. Remarkably, cells resumed growth only after refluidization of the cytoplasm, suggesting that reversible cytoplasmic gelation may contribute to regulation of the heat-induced growth arrest. In addition, cytoplasmic gelation could potentially preserve cellular architecture during heat shock. Overall, the results from my thesis work indicate that reversible cytoplasmic gelation due to macromolecular protein assembly may be a universal cellular response to severe stress which is associated with a stress-protective growth arrest. A likely stress-specific part of this response is the chaperone-dependent refluidization of the cytoplasm, which might explain the prolonged growth arrest seen upon severe heat shock as compared to other stresses and might allow more time for the repair of heat-induced damage.:Abstract Zusammenfassung Table of contents Figure index List of abbreviations 1 Introduction 1.1 Heat shock affects cellular function and fitness 1.1.1 Cells respond to stress in phases 1.1.2 Heat shock threatens cellular homeostasis and structural integrity 1.1.3 Stress severity determines detrimental effects of heat shock 1.1.4 Heat stress causes protein aggregation 1.1.5 Heat shock granules are functional aggregates in yeast 1.2 The heat shock response protects cellular fitness 1.2.1 Cells change transcription to adapt to stress 1.2.2 Molecular chaperones are important in stress protection 1.2.3 Hsp104 is a protein disaggregase chaperone 1.2.4 Small heat shock proteins modulate protein aggregation 1.2.5 Stress severity determines modules of the heat shock response 1.3 Cytoplasmic material properties change during stress 1.3.1 Cells homeostatically adapt cytoplasmic material properties during stress 1.3.2 The cytoplasm is viscoelastic 1.3.3 Is the cytoplasm a gel? 1.3.4 Stress can induce cytoplasmic gelation 1.4 Research aims 2 Materials and Methods 2.1 S. pombe strains and growth conditions 2.1.1 Growth conditions 2.1.2 Construction of S. pombe strains 2.1.3 S. pombe transformation 2.1.4 S. pombe colony PCR 2.1.5 S. pombe strains used in this thesis 2.2 Plasmids and cloning 2.2.1 Plasmids used in this thesis 2.2.2 Construction of plasmid for fluorescent GEM nanoparticle expression 2.2.3 E. coli transformation 2.2.4 Plasmid purification from E. coli 2.3 S. pombe stress treatments 2.3.1 Heat shock treatment 2.3.2 Osmoadaptation 2.4 Cell biological methods 2.4.1 Viability assay 2.4.2 Growth assay 2.5 Cell bulk mechanical assays 2.5.1 Spheroplasting assay 2.5.2 Atomic force microscopy 2.5.3 Real-time deformability cytometry 2.5.4 RT-DC sample preparation 2.5.5 RT-DC setup and measurements 2.5.6 RT-DC data evaluation 2.6 Microscopy 2.6.1 Microscopy of GEM particles 2.6.2 Fluorescence microscopy of endogenously labeled Pabp-mCherry 2.6.3 Microscopy of µNS particles 2.7 Image analysis 2.7.1 Image analysis of Pabp-mCherry in vivo fluorescence microscopy 2.7.2 Differenced brightfield image analysis 2.7.3 Kymographs 2.8 Single-particle tracking analysis 2.8.1 Particle tracking 2.8.2 Mean squared displacement analysis 2.9 Optical diffraction tomography (ODT) 2.9.1 ODT sample preparation 2.9.2 ODT optical setup and measurements 2.9.3 ODT tomogram reconstruction and quantitative analysis 2.10 Lysis and sedimentation assay 2.10.1 Lysis buffer 2.10.2 S. pombe heat shock treatment and lysis 2.10.3 Sedimentation assay 2.10.4 Protein concentration measurement 2.10.5 SDS-PAGE 2.10.6 Coomassie staining 2.10.7 Western Blot 3 Results 3.1 Physical and chemical conditions affect heat shock survival and heat-induced growth arrest of S. pombe 3.1.1 S. pombe arrests growth during severe heat shock 3.1.2 Heat-induced growth arrest is dose-responsive 3.1.3 Heat-induced growth arrest depends on experimental conditions 3.1.4 Buffer pH and energy source have a strong impact on heat shock survival 3.1.5 Osmoadaptation protects cells during heat shock 3.2 Severe heat shock induces reversible cellular stiffening 3.2.1 Cellular rounding upon cell wall removal is delayed after heat shock 3.2.2 Elastic modulus of S. pombe cells is increased after heat shock 3.2.3 Recovery from heat-induced growth arrest is preceded by cell softening 3.3 Long-range particle dynamics in cytoplasm are abolished after heat shock 3.3.1 Small particle dynamics are largely independent of heat shock treatment 3.3.2 Lipid droplets are confined in space after heat shock 3.4 Cytoplasmic crowding increases during heat shock 3.5 Heat shock induces reversible protein aggregation 3.5.1 Insoluble protein fraction is increased after heat shock 3.5.2 Heat shock granules form reversibly during heat shock 3.5.3 HSG formation and dissolution are correlated with changes in cytoplasmic long-range dynamics 3.6 Molecular chaperones modulate cytoplasmic material property changes during heat stress recovery 3.6.1 Hsp104 but not Hsp16 is required for disaggregation of heat shock granules 3.6.2 Hsp104 but not Hsp16 is required for recovery from heat-induced growth arrest 3.6.3 Hsp104 but not Hsp16 is required for recovery of cytoplasmic long-range dynamics 3.6.4 Hsp104 but not Hsp16 is required for rapid reversal of cellular stiffening which coincides with growth recovery 4 Discussion 4.1 Summary and model 4.2 Which mechanism underlies cell stiffening upon heat shock? 4.2.1 Heat-induced protein aggregation might cause cell stiffening 4.2.2 Heat-induced protein aggregation might lead to cytoplasmic gelation 4.2.3 Many factors could contribute to protein aggregation and cytoplasmic gelation 4.3 The heat-induced growth arrest state is associated with reversible cytoplasmic gelation 4.3.1 Cytoplasmic material property changes mark the severe heat-induced growth arrest state 4.3.2 Is cytoplasmic gelation a common response to severe stress? 4.4 What are the biological consequences of cytoplasmic gelation? 4.4.1 Cytoplasmic gelation might obstruct processes that require motion of large structures 4.4.2 Is cytoplasmic gelation upon heat shock protective? 4.5 Heat shock recovery involves the chaperone-mediated refluidization of the cytoplasm 4.5.1 Cytoplasmic refluidization is required for growth recovery 4.5.2 Stress tolerance is marked by enhanced reversibility of cytoplasmic gelation 4.5.3 The protein disaggregase chaperone Hsp104 regulates the reversal of heat-induced cytoplasmic material property changes 4.6 Conclusion References Acknowledgements Publications and Contributions 5 Erklärung entsprechend §5.5 der Promotionsordnung