Screening for Protein Turnover Modulators in Human Neurons
One point one. Proteome and Protein Turnover
One point one point one. Protein Production
One point one. Proteome and Protein Turnover
Protein synthesis pathologies
One point one. Proteome and Protein Turnover
One point one point two. Protein Clearance
Degradation via Ubiquitin-Proteasome System
One point one. Proteome and Protein Turnover
One point one. Proteome and Protein Turnover
Autophagy-lysosome pathway
Protein degradation pathologies
One point one. Proteome and Protein Turnover
One point one point three. Pathways Governing Protein Turnover
One point one. Proteome and Protein Turnover
Coordination of Protein Synthesis and Degradation
Mechanistic/Mammalian Target of Rapamycin pathway
One point one. Proteome and Protein Turnover
Integrated Stress Response
Unfolded Protein Response
One point two. Monitoring Protein Turnover
One point two. Monitoring Protein Turnover
One point two point one. Mathematical Representation of Protein Turnover
One point two point two. Current Methods of Monitoring
Measuring protein synthesis by nascent-chain labeling
One point two. Monitoring Protein Turnover
Fluorescent reporters and tag-based pulse-chase approaches
Tandem Fluorescent Timer as a tool of protein turnover quantification
One point two Monitoring Protein Turnover
One point three Neuronal Proteostasis: experimental models and approaches
One point three Neuronal Proteostasis: experimental models and approaches
One point three Neuronal Proteostasis: experimental models and approaches
One point three point two Experimental Models of Proteinopathies
One point three Neuronal Proteostasis: experimental models and approaches
One point four. Modulating Protein Turnover
One point four. Modulating Protein Turnover
One point four point one. Protein Quality Control as a Therapeutic Target
One point four. Modulating Protein Turnover
One point five. Aims of the thesis
Two Fluorescent timer-based screening of protein turnover modulators in human neurons
High-throughput, phenotypic screening identifies protein turnover modulators in human neurons
The secondary screening reveals potent enhancers of protein turnover
Protein turnover modulators enhance expression of ribosomal protein genes
Protein turnover modulators suppress seeding initiation and pS129 pathology in a neuronal aSyn aggregation assay
CI-nine-hundred-ninety-four suppresses seeded aSyn aggregation in human iPSC-derived dopaminergic neurons
Limitations of this study
Cell lines used in this study
Cell culture and maintenance
Neuronal two D long-term differentiation
Differentiation to neurons
Immunofluorescence for validation of differentiation
Quantification of MCFT half-life
Screening window coefficient
Primary screening data curation
Label Free Quantitative Proteomics
RNA sequencing Cell culture
Expression, purification, and fibrillization of mouse aSyn
Primary hippocampal neuron cultures
Differentiation of NGN two-iPSCs into dopaminergic neuronal cultures
Treatment of primary hippocampal neurons or induced dopaminergic with mouse aSyn PFF and small-molecule modulators
Immunocytochemistry and high-content imaging analysis of aSyn PFF-treated primary neuronal cultures
Biochemical analysis of PFF internalization and aSyn pS one hundred twenty-nine pathology
Statistical analysis of aSyn-related experiments
Three Core passive and facultative mTOR-mediated mechanisms coordinate mammalian protein synthesis and decay
Three point one. Contributions
Three point two. Results Core passive and facultative mTOR-mediated mechanisms coordinate mammalian protein synthesis and decay
Naive mESCs display a distinct, biphasic adaptation mode
Physiological variability in protein turnover recapitulates cell-type-specific adaptation
Sustained changes in mTOR signaling drive robust adaptation in mESCs
Proteome composition and dynamics upon passive and mTOR-driven adaptation
Generation of hESC-derived neurons (iNGNs)
Differentiation of hESCs into astrocytes
Immunofluorescence for characterization of astrocyte-enriched cell culture
Immunofluorescence for characterization of pluripotency of mESC
Snapshot imaging of the MCFT upon CHX/MYCi/INK one hundred twenty-eight steady-state treatments
Snapshot imaging of the MCFT upon steady-state amino acids depletion
Live imaging of the MCFT upon CHX treatment/release
Live imaging of the MCFT upon MYCi treatment/release
Dox pulse-chase experiment
N-Hydroxysuccinimide (NHS ester) labeling and imaging
ELISA for p seventy S six K
Sample preparation and sequencing
Label-free Mass Spectrometry experiments Sample collection
Sample preparation for Mass Spectrometry
Computation of protein half-life
Quantification of k and kdeg from SNAP pulse-chase labeling
Quantification of S and k from the MCFT
Quantification of kdil from time-lapse movies
Four point one. Perturbing protein turnover in neurons
Four point two. Primary screen uncovers multiple compound groups that shift neuronal protein turnover
Four point two Primary screen uncovers multiple compound groups that shift neuronal protein turnover
Four point two point one. AS-two hundred fifty-two four twenty-four as a protein turnover enhancer
Four point two. Primary screen uncovers multiple compound groups that shift neuronal protein turnover
Four point two point two. CGP-five-two-four-eleven as a protein turnover enhancer
Four point two Primary screen uncovers multiple compound groups that shift neuronal protein turnover
Four point two point three. CI-nine hundred ninety-four as a protein turnover enhancer
Four point two Primary screen uncovers multiple compound groups that shift neuronal protein turnover
Four point two point four. Common features of three distinct modulators of neuronal protein turnover
Four point three. Limitations of this study
Four point four Passive adaptation in human cells
Four point four. Passive adaptation in human cells
Four point five Conclusions & Outlook
Four point five. Conclusions & Outlook
Supplemental Text for: Coordination of protein synthesis and degradation in mammalian cells
One point one Modeling of the MCFT
One point two Steady-state behavior of the MCFT
One point three Scaling factor &
One point four Inference of mOrange two maturation rate
Two Hierarchical Bayesian algorithm for inferring the dynamics of time variable rates
Two point three Data retrodiction
Two point four. Test on synthetic data
Three. Passive adaptation model
Three point two. Model formalization
Three point three. In-silico passive adaptation model simulation
Three point four. Modelling the adaptation of protein decay to changes in protein synthesis
Three point four point two. Perfect adaptation model
Three point six Including the ubiquitination pathway into the passive adaptation model
Four Mass spectrometry data analysis
Four point two Predicting changes in protein relative amount for pskdeg
Four point two point two The short-lived protein limit
Four point two point three The long-lived protein limit
Five Dynamic SILAC analysis
Five point two Determination of protein decay rate