Genome-wide screen identifies new set of genes for improved heterologous laccase expression in Saccharomyces cerevisiae.

The yeast Saccharomyces cerevisiae is widely used as a host cell for recombinant protein production due to its fast growth, cost-effective culturing, and ability to secrete large and complex proteins. However, one major drawback is the relatively low yield of produced proteins compared to other host systems. To address this issue, we developed an overlay assay to screen the yeast knockout collection and identify mutants that enhance recombinant protein production, specifically focusing on the secretion of the Trametes trogii fungal laccase enzyme. Gene ontology analysis of these mutants revealed an enrichment of processes including vacuolar targeting, vesicle trafficking, proteolysis, and glycolipid metabolism. We confirmed that a significant portion of these mutants also showed increased activity of the secreted laccase when grown in liquid culture. Notably, we found that the combination of deletions of OCA6, a tyrosine phosphatase gene, along with PMT1 or PMT2, two genes encoding ER membrane protein-O-mannosyltransferases involved in ER quality control, and SKI3, which encode for a component of the SKI complex responsible for mRNA degradation, further increased secreted laccase activity. Conversely, we also identified over 200 gene deletions that resulted in decreased secreted laccase activity, including many genes that encode for mitochondrial proteins and components of the ER-associated degradation pathway. Intriguingly, the deletion of the ER DNAJ co-chaperone gene SCJ1 led to almost no secreted laccase activity. When we expressed SCJ1 from a low-copy plasmid, laccase secretion was restored. However, overexpression of SCJ1 had a detrimental effect, indicating that precise dosing of key chaperone proteins is crucial for optimal recombinant protein expression. This study offers potential strategies for enhancing the overall yield of recombinant proteins and provides new avenues for further research in optimizing protein production systems.

Shift of the insoluble content of the proteome in the aging mouse brain.

During aging, the cellular response to unfolded proteins is believed to decline, resulting in diminished proteostasis. In model organisms, such as Caenorhabditis elegans, proteostatic decline with age has been linked to proteome solubility shifts and the onset of protein aggregation. However, this correlation has not been extensively characterized in aging mammals. To uncover age-dependent changes in the insoluble portion of a mammalian proteome, we analyzed the detergent-insoluble fraction of mouse brain tissue by mass spectrometry. We identified a group of 171 proteins, including the small heat shock protein α-crystallin, that become enriched in the detergent-insoluble fraction obtained from old mice. To enhance our ability to detect features associated with proteins in that fraction, we complemented our data with a meta-analysis of studies reporting the detergent-insoluble proteins in various mouse models of aging and neurodegeneration. Strikingly, insoluble proteins from young and old mice are distinct in several features in our study and across the collected literature data. In younger mice, proteins are more likely to be disordered, part of membraneless organelles, and involved in RNA binding. These traits become less prominent with age, as an increased number of structured proteins enter the pellet fraction. This analysis suggests that age-related changes to proteome organization lead a group of proteins with specific features to become detergent-insoluble. Importantly, these features are not consistent with those associated with proteins driving membraneless organelle formation. We see no evidence in our system of a general increase of condensate proteins in the detergent-insoluble fraction with age.

Comparison of Biomolecular Condensate Localization and Protein Phase Separation Predictors.

Research in the field of biochemistry and cellular biology has entered a new phase due to the discovery of phase separation driving the formation of biomolecular condensates, or membraneless organelles, in cells. The implications of this novel principle of cellular organization are vast and can be applied at multiple scales, spawning exciting research questions in numerous directions. Of fundamental importance are the molecular mechanisms that underly biomolecular condensate formation within cells and whether insights gained into these mechanisms provide a gateway for accurate predictions of protein phase behavior. Within the last six years, a significant number of predictors for protein phase separation and condensate localization have emerged. Herein, we compare a collection of state-of-the-art predictors on different tasks related to protein phase behavior. We show that the tested methods achieve high AUCs in the identification of biomolecular condensate drivers and scaffolds, as well as in the identification of proteins able to phase separate in vitro. However, our benchmark tests reveal that their performance is poorer when used to predict protein segments that are involved in phase separation or to classify amino acid substitutions as phase-separation-promoting or -inhibiting mutations. Our results suggest that the phenomenological approach used by most predictors is insufficient to fully grasp the complexity of the phenomenon within biological contexts and make reliable predictions related to protein phase behavior at the residue level.

Identification of newly translated thermo-sensitive proteins using pulse SILAC mass spectrometry and the GAL promoter system.

Some newly translated proteins are more susceptible to misfolding and aggregation upon heat shock in comparison to other proteins. To study these newly translated thermo-sensitive proteins on a proteomic scale, we present here a protocol that combines pulse-SILAC with biochemical fractionation for mass spectrometry analysis, followed by an orthogonal validation protocol for selected candidates using the GAL promoter system in Saccharomyces cerevisiae. This approach can be further developed to study other stresses and specific post-translational modifications or adapted to mammalian cells. For complete details on the use and execution of this protocol, please refer to Zhu et al. (2022).1.

Pulse labeling reveals the tail end of protein folding by proteome profiling.

Accurate and efficient folding of nascent protein sequences into their native states requires support from the protein homeostasis network. Herein we probe which newly translated proteins are thermo-sensitive, making them susceptible to misfolding and aggregation under heat stress using pulse-SILAC mass spectrometry. We find a distinct group of proteins that is highly sensitive to this perturbation when newly synthesized but not once matured. These proteins are abundant and highly structured. Notably, they display a tendency to form ß sheet secondary structures, have more complex folding topology, and are enriched for chaperone-binding motifs, suggesting a higher demand for chaperone-assisted folding. These polypeptides are also more often components of stable protein complexes in comparison with other proteins. Combining these findings suggests the existence of a specific subset of proteins in the cell that is particularly vulnerable to misfolding and aggregation following synthesis before reaching the native state.

Protein interaction networks in neurodegenerative diseases: From physiological function to aggregation.

The accumulation of protein inclusions is linked to many neurodegenerative diseases that typically develop in older individuals, due to a combination of genetic and environmental factors. In rare familial neurodegenerative disorders, genes encoding for aggregation-prone proteins are often mutated. While the underlying mechanism leading to these diseases still remains to be fully elucidated, efforts in the past 20 years revealed a vast network of protein-protein interactions that play a major role in regulating the aggregation of key proteins associated with neurodegeneration. Misfolded proteins that can oligomerize and form insoluble aggregates associate with molecular chaperones and other elements of the proteolytic machineries that are the frontline workers attempting to protect the cells by promoting clearance and preventing aggregation. Proteins that are normally bound to aggregation-prone proteins can become sequestered and mislocalized in protein inclusions, leading to their loss of function. In contrast, mutations, posttranslational modifications, or misfolding of aggregation-prone proteins can lead to gain of function by inducing novel or altered protein interactions, which in turn can impact numerous essential cellular processes and organelles, such as vesicle trafficking and the mitochondria. This review examines our current knowledge of protein-protein interactions involving several key aggregation-prone proteins that are associated with Alzheimer's disease, Parkinson's disease, Huntington's disease, or amyotrophic lateral sclerosis. We aim to provide an overview of the protein interaction networks that play a central role in driving or mitigating inclusion formation, while highlighting some of the key proteomic studies that helped to uncover the extent of these networks.

Isolation of Detergent Insoluble Proteins from Mouse Brain Tissue for Quantitative Analysis Using Data Independent Acquisition (DIA).

Enrichment of detergent insoluble proteins is a commonly used technique for analyzing proteins that may be aggregating in disease or with age. However, various methods for enriching for these proteins are used. Here we present a method using a mild detergent (Triton X-100) and high centrifugation speed (20,000 × g) allowing for sufficient protein extraction and enrichment for large protein assemblies. Digestion is performed on columns allowing for a methanol chloroform wash to remove the highly prevalent lipids in brain tissue. This is followed by analysis by data independent acquisition mass spectrometry, which we have found to be highly reproducible. Our method is intended to enrich for amorphous aggregates, which may accumulate upon the collapse of protein homeostasis.

GraPES: The Granule Protein Enrichment Server for prediction of biological condensate constituents.

Phase separation-based condensate formation is a novel working paradigm in biology, helping to rationalize many important cellular phenomena including the assembly of membraneless organelles. Uncovering the functional impact of cellular condensates requires a better knowledge of these condensates' constituents. Herein, we introduce the webserver GraPES (Granule Protein Enrichment Server), a user-friendly online interface containing the MaGS and MaGSeq predictors, which provide propensity scores for proteins' localization into cellular condensates. Our webpage contains models trained on human (Homo sapiens) and yeast (Saccharomyces cerevisiae) stress granule proteins. MaGS utilizes experimentally-based protein features for prediction, whereas MaGSeq is an entirely protein sequence-based implementation. GraPES is implemented in HTML/CSS and Javascript and is freely available for public use at https://grapes.msl.ubc.ca/. Documentation for using the provided webtools, descriptions of their methodology, and implementation notes can be found on the webpage.

Protein feature analysis of heat shock induced ubiquitination sites reveals preferential modification site localization.

Protein aggregation is indicative of failing protein quality control systems. These systems are responsible for the refolding or degradation of aberrant and misfolded proteins. Heat stress can cause proteins to misfold, triggering cellular responses including a marked increase in the ubiquitination of proteins. This response has been characterized in yeast, however more studies are needed within mammalian cells. Herein, we examine proteins that become ubiquitinated during heat shock in human tissue culture cells using diGly enrichment coupled with mass spectrometry. A majority of these proteins are localized in the nucleus or cytosol. Proteins which are conjugated under stress display longer sequence lengths, more interaction partners, and more hydrophobic patches than controls but do not show lower melting temperatures. Furthermore, heat-induced conjugation sites occur less frequently in disordered regions and are closer to hydrophobic patches than other ubiquitination sites; perhaps providing novel insight into the molecular mechanism mediating this response. Nuclear and cytosolic pools of modified proteins appear to have different protein features. Using a pulse-SILAC approach, we found that both long-lived and newly-synthesized proteins are conjugated under stress. Modified long-lived proteins are predominately nuclear and were distinct from newly-synthesized proteins, indicating that different pathways may mediate the heat-induced increase of polyubiquitination. SIGNIFICANCE: The maintenance of protein homeostasis requires a balance of protein synthesis, folding, and degradation. Under stress conditions, the cell must rapidly adapt by increasing its folding capacity to eliminate aberrant proteins. A major pathway for proteolysis is mediated by the ubiquitin proteasome system. While increased ubiquitination after heat stress was observed over 30 years ago, it remains unclear which proteins are conjugated during heat shock in mammalian cells and by what means this conjugation occurs. In this study, we combined SILAC-based mass spectrometry with computational analyses to reveal features associated to proteins ubiquitinated while under heat shock. Interestingly, we found that conjugation sites induced by the stress are less often located within disordered regions and more often located near hydrophobic patches. Our study showcases how proteomics can reveal distinct feature associated to a cohort of proteins that are modified post translationally and how the ubiquitin conjugation sites are preferably selected in these conditions. Our work opens a new path for delineating the molecular mechanisms leading to the heat stress response and the regulation of protein homeostasis.

Proteomic analysis reveals the direct recruitment of intrinsically disordered regions to stress granules in S. cerevisiae.

Stress granules (SGs) are stress-induced membraneless condensates that store non-translating mRNA and stalled translation initiation complexes. Although metazoan SGs are dynamic compartments where proteins can rapidly exchange with their surroundings, yeast SGs seem largely static. To gain a better understanding of yeast SGs, we identified proteins that sediment after heat shock using mass spectrometry. Proteins that sediment upon heat shock are biased toward a subset of abundant proteins that are significantly enriched in intrinsically disordered regions (IDRs). Heat-induced SG localization of over 80 proteins were confirmed using microscopy, including 32 proteins not previously known to localize to SGs. We found that several IDRs were sufficient to mediate SG recruitment. Moreover, the dynamic exchange of IDRs can be observed using fluorescence recovery after photobleaching, whereas other components remain immobile. Lastly, we showed that the IDR of the Ubp3 deubiquitinase was critical for yeast SG formation. This work shows that IDRs can be sufficient for SG incorporation, can remain dynamic in vitrified SGs, and can play an important role in cellular compartmentalization upon stress.This article has an associated First Person interview with the first author of the paper.

Protein Aggregation Triggered by Rewired Protein Homeostasis during Neuronal Differentiation.

In this issue of Molecular Cell, Vonk et al. (2020) and Thiruvalluvan et al. (2020) identify key chaperones that confer resistance to protein aggregation in neural stem cells and become reduced upon differentiation.

Distinct Features of Stress Granule Proteins Predict Localization in Membraneless Organelles.

Recently generated proteomic data provides unprecedented insight into stress granule composition and stands as fruitful ground for further analysis. Stress granules are stress-induced biological assemblies that are of keen interest due to being linked to both long-term cell viability and a variety of protein aggregation-based diseases. Herein, we compile recently published stress granule composition data, formed specifically through heat and oxidative stress, for both mammalian (Homo sapiens) and yeast (Saccharomyces cerevisiae) cells. Interrogation of the data reveals that stress granule proteins are enriched in features that favor protein liquid-liquid phase separation, being highly disordered, soluble, and abundant while maintaining a high level of protein-protein interactions under basal conditions. Furthermore, these "stress granuleomes" are shown to be enriched for multidomained, RNA-binding proteins with increased potential for post-translational modifications. Findings are consistent with the notion that stress granule formation is driven by protein liquid-liquid phase separation. Furthermore, stress granule proteins appear poised near solubility limits while possessing the ability to dynamically alter their phase behavior in response to external threat. Interestingly, several features, such as protein disorder, are more prominent among stress granule proteins that share homologs between yeast and mammalian systems also found within stress-induced foci. We culminate results from our stress granule analysis into novel predictors for granule incorporation and validate the mammalian predictor's performance against multiple types of membraneless condensates and by colocalization microscopy.

Unfolding or aggregation, that is the question.

Cellular processes accompanying protein aggregation are diverse and entangled, making it difficult to investigate the underlying molecular processes in a time-resolved way. Gottlieb, Thompson, and colleagues address this shortcoming using a chemical biology approach to monitor ubiquitination within the first 10 min after the initiation of protein aggregation. Intriguingly, unfolding rather than aggregation seems to trigger the observed events. This work might provide a method to answer open questions regarding the regulation of the proteostasis network upon protein misfolding.

Phase separation and clustering of an ABC transporter in Mycobacterium tuberculosis.

Phase separation drives numerous cellular processes, ranging from the formation of membrane-less organelles to the cooperative assembly of signaling proteins. Features such as multivalency and intrinsic disorder that enable condensate formation are found not only in cytosolic and nuclear proteins, but also in membrane-associated proteins. The ABC transporter Rv1747, which is important for Mycobacterium tuberculosis (Mtb) growth in infected hosts, has a cytoplasmic regulatory module consisting of 2 phosphothreonine-binding Forkhead-associated domains joined by an intrinsically disordered linker with multiple phospho-acceptor threonines. Here we demonstrate that the regulatory modules of Rv1747 and its homolog in Mycobacterium smegmatis form liquid-like condensates as a function of concentration and phosphorylation. The serine/threonine kinases and sole phosphatase of Mtb tune phosphorylation-enhanced phase separation and differentially colocalize with the resulting condensates. The Rv1747 regulatory module also phase-separates on supported lipid bilayers and forms dynamic foci when expressed heterologously in live yeast and M. smegmatis cells. Consistent with these observations, single-molecule localization microscopy reveals that the endogenous Mtb transporter forms higher-order clusters within the Mycobacterium membrane. Collectively, these data suggest a key role for phase separation in the function of these mycobacterial ABC transporters and their regulation via intracellular signaling.

Prion-dependent proteome remodeling in response to environmental stress is modulated by prion variant and genetic background.

A number of fungal proteins are capable of adopting multiple alternative, self-perpetuating prion conformations. These prion variants are associated with functional alterations of the prion-forming protein and thus the generation of new, heritable traits that can be detrimental or beneficial. Here we sought to determine the extent to which the previously-reported ZnCl2-sensitivity trait of yeast harboring the [PSI+] prion is modulated by genetic background and prion variant, and whether this trait is accompanied by prion-dependent proteomic changes that could illuminate its physiological basis. We also examined the degree to which prion variant and genetic background influence other prion-dependent phenotypes. We found that ZnCl2 exposure not only reduces colony growth but also limits chronological lifespan of [PSI+] relative to [psi-] cells. This reduction in viability was observed for multiple prion variants in both the S288C and W303 genetic backgrounds. Quantitative proteomic analysis revealed that under exposure to ZnCl2 the expression of stress response proteins was elevated and the expression of proteins involved in energy metabolism was reduced in [PSI+] relative to [psi-] cells. These results suggest that cellular stress and slowed growth underlie the phenotypes we observed. More broadly, we found that prion variant and genetic background modulate prion-dependent changes in protein abundance and can profoundly impact viability in diverse environments. Thus, access to a constellation of prion variants combined with the accumulation of genetic variation together have the potential to substantially increase phenotypic diversity within a yeast population, and therefore to enhance its adaptation potential in changing environmental conditions.

A Method to Monitor Protein Turnover by Flow Cytometry and to Screen for Factors that Control Degradation by Fluorescence-Activated Cell Sorting.

The protein quality control network consists of multiple proteins or protein complexes that monitor proteome integrity by mediating protein folding and the removal of proteins that cannot be folded. An integral component of this network is the ubiquitin-proteasome system, which controls the degradation of thousands of cellular proteins. A number of questions remain unanswered regarding the degradation of misfolded proteins. For example, how are substrates recognized and triaged? What are the identities of the components involved? And finally, what substrates are targeted by any given component of the quality control network? Finding answers to these questions is what inspires our work in protein quality control. Further characterization of protein quality control mechanisms requires methods that can reliably quantify turnover rates of model substrates. One such method is based on flow cytometry. Here, we present protocols detailing how to assess protein stability with flow cytometry and how fluorescence-activated cell sorting (FACS) can be used to screen for factors important for protein quality control and protein turnover.

Exploring the Rampant Expansion of Ubiquitin Proteomics.

The ubiquitin proteasome system can arguably affect all cellular proteins with few exceptions. In addition to regulating many pathways such as cell cycle progression, inflammation, gene expression, DNA repair, and vesicle trafficking-to just name a few-ubiquitination can occur to any nascent or newly translated protein that misfolds. In the past years, substantial progress has been achieved in advancing our global understanding of the ubiquitinome-the ensemble of ubiquitinated proteins within a cell-using mass spectrometry-based proteomics. Notably, over 50,000 conjugation sites have now been reported. In this review, we discuss recent proteomics methods used to expand our knowledge of the ubiquitin proteasome system through the identification of ubiquitination sites, poly-ubiquitin chain types, and E3 ubiquitin ligase substrates.

Insulin-like growth factor 1 receptor stabilizes the ETV6-NTRK3 chimeric oncoprotein by blocking its KPC1/Rnf123-mediated proteasomal degradation.

Many oncogenes, including chimeric oncoproteins, require insulin-like growth factor 1 receptor (IGF1R) for promoting cell transformation. The ETS variant 6 (ETV6)-neurotrophic receptor tyrosine kinase 3 (NTRK3) (EN) chimeric tyrosine kinase is expressed in mesenchymal, epithelial, and hematopoietic cancers and requires the IGF1R axis for transformation. However, current models of IGF1R-mediated EN activation are lacking mechanistic detail. We demonstrate here that IGF-mediated IGF1R stimulation enhances EN tyrosine phosphorylation and that blocking IGF1R activity or decreasing protein levels of the adaptor protein insulin receptor substrate 1/2 (IRS1/2) results in rapid EN degradation. This was observed both in vitro and in vivo in fibroblast and breast epithelial cell line models and in MO91, an EN-expressing human leukemia cell line. Stable isotope labeling with amino acids in cell culture (SILAC)-based MS analysis identified the E3 ligase RING-finger protein 123 (Rnf123, more commonly known as KPC1) as an EN interactor upon IGF1R/insulin receptor (INSR) inhibitor treatment. KPC1/Rnf123 ubiquitylated EN in vitro, and its overexpression decreased EN protein levels. In contrast, KPC1/Rnf123 knockdown rendered EN resistant to IGF1R inhibitor-mediated degradation. These results support a critical function for IGF1R in protecting EN from KPC1/Rnf123-mediated proteasomal degradation. Attempts to therapeutically target oncogenic chimeric tyrosine kinases have traditionally focused on blocking kinase activity to restrict downstream activation of essential signaling pathways. In this study, we demonstrate that IGF1R inhibition results in rapid ubiquitylation and degradation of the EN oncoprotein through a proteasome-dependent mechanism that is reversible, highlighting a potential strategy for targeting chimeric tyrosine kinases in cancer.

Elucidation of the 14-3-3ζ interactome reveals critical roles of RNA-splicing factors during adipogenesis.

Adipogenesis involves a complex signaling network requiring strict temporal and spatial organization of effector molecules. Molecular scaffolds, such as 14-3-3 proteins, facilitate such organization, and we have previously identified 14-3-3ζ as an essential scaffold in adipocyte differentiation. The interactome of 14-3-3ζ is large and diverse, and it is possible that novel adipogenic factors may be present within it, but this possibility has not yet been tested. Herein, we generated mouse embryonic fibroblasts from mice overexpressing a tandem affinity purification (TAP) epitope-tagged 14-3-3ζ molecule. After inducing adipogenesis, TAP-14-3-3ζ complexes were purified, followed by MS analysis to determine the 14-3-3ζ interactome. We observed more than 100 proteins that were unique to adipocyte differentiation, 56 of which were novel interacting partners. Among these, we were able to identify previously established regulators of adipogenesis (i.e. Ptrf/Cavin1) within the 14-3-3ζ interactome, confirming the utility of this approach to detect adipogenic factors. We found that proteins related to RNA metabolism, processing, and splicing were enriched in the interactome. Analysis of transcriptomic data revealed that 14-3-3ζ depletion in 3T3-L1 cells affected alternative splicing of mRNA during adipocyte differentiation. siRNA-mediated depletion of RNA-splicing factors within the 14-3-3ζ interactome, that is, of Hnrpf, Hnrpk, Ddx6, and Sfpq, revealed that they have essential roles in adipogenesis and in the alternative splicing of Pparg and the adipogenesis-associated gene Lpin1 In summary, we have identified novel adipogenic factors within the 14-3-3ζ interactome. Further characterization of additional proteins within the 14-3-3ζ interactome may help identify novel targets to block obesity-associated expansion of adipose tissues.

The [PSI +] yeast prion does not wildly affect proteome composition whereas selective pressure exerted on [PSI +] cells can promote aneuploidy.

The yeast Sup35 protein is a subunit of the translation termination factor, and its conversion to the [PSI +] prion state leads to more translational read-through. Although extensive studies have been done on [PSI +], changes at the proteomic level have not been performed exhaustively. We therefore used a SILAC-based quantitative mass spectrometry approach and identified 4187 proteins from both [psi -] and [PSI +] strains. Surprisingly, there was very little difference between the two proteomes under standard growth conditions. We found however that several [PSI +] strains harbored an additional chromosome, such as chromosome I. Albeit, we found no evidence to support that [PSI +] induces chromosomal instability (CIN). Instead we hypothesized that the selective pressure applied during the establishment of [PSI +]-containing strains could lead to a supernumerary chromosome due to the presence of the ade1-14 selective marker for translational read-through. We therefore verified that there was no prevalence of disomy among newly generated [PSI +] strains in absence of strong selection pressure. We also noticed that low amounts of adenine in media could lead to higher levels of mitochondrial DNA in [PSI +] in ade1-14 cells. Our study has important significance for the establishment and manipulation of yeast strains with the Sup35 prion.