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Biology subjects

Levy, E. D.

Publications and source records attributed to Levy, E. D..

16 recordsLinked to original sources

A pharmacological modality to sequester homomeric proteins

Molecules that can perturb protein-protein interactions have an immense impact on chemical biology and therapeutics. However, such compounds typically rely on accessory proteins to function, such as E3 ligases in the case of targeted degradation, which may restrict their target and tissue scope or lead to resistance. Here we alleviate the need for accessory proteins with a novel pharmacological modality to knock-down protein function. Our strategy exploits protein symmetry as a selective vulnerability, and is widely applicable owing to the ubiquitous nature of homomeric proteins in cellular systems. We target homomeric proteins with PINCHs (Polymerization Inducing Chimeras) - bifunctional molecules composed of two linked ligands that act as bridges between homomers and trigger their supramolecular assembly into insoluble polymers. We design PINCHs that achieve efficient polymerization of three homomeric targets. In cells, we observed that a PINCH targeting Keap1 exhibited a longer duration of action compared to its monomeric inhibitor, and a PINCH targeting BCL6 displayed selective and improved B cell toxicity compared to its monomeric parent. Our results highlight PINCHs as a novel and general strategy to modulate and knock out protein function.

biochemistry↗

Co-translational assembly promotes functional diversification of paralogous proteins

Homomeric proteins are ubiquitous and mediate myriads of cellular functions. When a gene encoding a homomer duplicates, the resulting paralogs can either form distinct homomers, or evolve into a heteromer containing both paralogs. While such events have extensively shaped proteomes, the molecular mechanisms driving these fates and their associated functional consequences remain largely unknown. Here, we conducted a comprehensive phylogenomic analysis tracing gene duplication histories of 7,377 human paralogs across the eukaryotic lineage and identified their fates using protein interaction data. Simulations and data analyses show that cellular constraints must act as barriers to disfavor heteromerization and promote homomerization. We found that multiple cellular and molecular constraints can serve as barriers, including the lack of co-expression and co-localization. The main barrier, however, is co-translational assembly, which naturally promotes the self-assembly of each paralog from its corresponding mRNA, thus hindering heteromerization. We further established that heteromerization constrains functional divergence, with homomeric paralogs exhibiting stronger signatures of adaptive evolution and functional divergence compared to heteromeric paralogs. Together, these findings identify key biochemical and cellular properties that explain protein function diversification following gene duplication. One Sentence SummaryCo-translational assembly drives the selective homo-oligomerization of paralogs, which in turn promotes their functional divergence. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=180 HEIGHT=200 SRC="FIGDIR/small/634331v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@b17418org.highwire.dtl.DTLVardef@3d0a61org.highwire.dtl.DTLVardef@1747aeaorg.highwire.dtl.DTLVardef@31b931_HPS_FORMAT_FIGEXP M_FIG C_FIG

evolutionary biology↗

The phase separation landscape of genome-wide genetic perturbations

Biomolecular organization is central to cell function. While phase separation is a key mechanism orchestrating this organization, we lack a comprehensive view of genes that can globally influence this process in vivo. To identify such genes, we combined functional genomics and synthetic biology. We developed a bioorthogonal system that can identify changes in the intracellular milieu that globally tune phase separation. We measured in vivo phase diagrams of a synthetic system across >25 million cells in 2,888 yeast knockouts, and identified 68 genes whose deletion alters the phase boundaries of the synthetic system, an unexpected result given the systems bioorthogonal design. Genes involved in TORC1 signaling and metabolism, particularly carbohydrate-, amino acid- and nucleotide synthesis were enriched. The mutants that changed phase separation also showed high pleiotropy, suggesting that phase separation interrelates with many aspects of biology. Highlights- A synthetic protein system reveals the genetic and environmental tunability of protein phase separation - Genetic knockouts affecting phase separation are highly pleiotropic - Carbohydrate, amino acid, and nucleotide metabolism contribute to modulating phase separation potential - Protein phase separation is a globally tunable property of the intracellular environment O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/620319v1_ufig1.gif" ALT="Figure 1"> View larger version (81K): org.highwire.dtl.DTLVardef@4b8403org.highwire.dtl.DTLVardef@1c80503org.highwire.dtl.DTLVardef@c10bf2org.highwire.dtl.DTLVardef@1f76c71_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

Profiling the physiological impact of aberrant folded-state protein filamentation in cells

The formation of large polymeric structures such as cytoskeletal and enzyme filaments is crucial for normal cellular function. However, such filaments can also form due to mutations that create self-interactions at the surface of symmetric proteins. Often, the proteins forming these structures maintain a folded state and thereby differ from aggregates and amyloids that involve misfolding. We refer to this type of assemblies as agglomerates to mark this difference. While cells have quality control mechanisms to identify, buffer, and eliminate misfolded proteins, it is unclear whether similar mechanisms exist for agglomerates, or whether agglomerates are toxic to cells. Here, we profiled the physiological impact of mutation-induced folded-state protein filamentation in yeast cells. First, we devised a simple strategy to distinguish fluorescently labeled proteins forming agglomerates versus aggregates. We then profiled exogenous protein agglomerates in terms of their recognition by known quality control mechanisms, their effects on specific cellular processes and overall fitness on S. cerevisiae cultures. We found that agglomerates do not colocalize with the proteostasis machinery and do not result in measurable fitness defects. Proteomics profiling of cells expressing the wild type protein, agglomerating or misfolded variants revealed a consistent picture, with only minor, agglomerate-size-dependent changes observed and linked to the cell-wall and plasma-membrane proteins. Overall, our findings indicate that agglomerates form mostly benign structures in cells when compared to aggregates, and thereby offer a promising route for synthetic biology applications. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=146 SRC="FIGDIR/small/612878v1_ufig1.gif" ALT="Figure 1"> View larger version (84K): org.highwire.dtl.DTLVardef@7136a4org.highwire.dtl.DTLVardef@ba62dborg.highwire.dtl.DTLVardef@b02bbaorg.highwire.dtl.DTLVardef@6cbf9_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

Structural determinants of co-translational protein complex assembly

The assembly of proteins into functional complexes is critical to lifes processes. While textbooks depict complex assembly as occurring between fully synthesized proteins, we know today that thousands of proteins in the human proteome assemble co-translationally during their synthesis. Why this process takes place, however, remains unknown. We show that co-translational assembly is governed by biophysical and structural characteristics of the protein complex, and involves mutually stabilized, intertwined subunits. Consequently, these subunits are also co-regulated across the central dogma, from transcription to protein degradation. Leveraging structural signatures with AlphaFold2-based predictions enables us to accurately predict co-translational assembly on a proteome-wide scale, which we validated by ribosome profiling, genetic perturbations, and smFISH experiments. Notably, the latter showed that co-translationally assembling subunits exhibit co-localized mRNAs. This work unveils a fundamental connection between protein structure and the translation process, highlighting the overarching impact of three-dimensional structure on gene expression, mRNA localization, and proteostasis. One Sentence SummaryProtein complexes with topologically intertwined subunits require co-translational assembly and synchronized proteostasis of subunits, with implications in protein stability, mRNA localization, and evolution. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=195 SRC="FIGDIR/small/576408v1_ufig1.gif" ALT="Figure 1"> View larger version (62K): org.highwire.dtl.DTLVardef@712a2org.highwire.dtl.DTLVardef@58894borg.highwire.dtl.DTLVardef@9db5c6org.highwire.dtl.DTLVardef@8eae4_HPS_FORMAT_FIGEXP M_FIG C_FIG

systems biology↗

Mutational biases contribute to the neutral complexification of protein interaction networks following gene duplication

Biological systems can gain complexity over time. While some of these transitions are likely driven by natural selection, the extent to which they occur without providing an adaptive benefit is unknown. At the molecular level, one example is heteromeric complexes replacing homomeric ones following gene duplication. Here, we build a biophysical model and simulate the evolution of homodimers and heterodimers following gene duplication using distributions of mutational effects inferred from available protein structures. We keep the specific activity of each dimer identical, so their concentrations drift neutrally without new functions. We show that for more than 60% of tested dimer structures, the relative concentration of the heteromer increases over time due to mutational biases that favor the heterodimer. However, allowing mutational effects on synthesis rates and differences in the specific activity of homo- and heterodimers can limit or reverse the observed bias toward heterodimers. Our results show that the accumulation of more complex protein quaternary structures is likely under neutral evolution, and that natural selection would be needed to reverse this tendency.

systems biology↗

Mesoscale molecular assembly is favored by the active, crowded cytoplasm

The mesoscale organization of molecules into membraneless biomolecular condensates is emerging as a key mechanism of rapid spatiotemporal control in cells1. Principles of biomolecular condensation have been revealed through in vitro reconstitution2. However, intracellular environments are much more complex than test-tube environments: They are viscoelastic, highly crowded at the mesoscale, and are far from thermodynamic equilibrium due to the constant action of energy-consuming processes3. We developed synDrops, a synthetic phase separation system, to study how the cellular environment affects condensate formation. Three key features enable physical analysis: synDrops are inducible, bioorthogonal, and have well-defined geometry. This design allows kinetic analysis of synDrop assembly and facilitates computational simulation of the process. We compared experiments and simulations to determine that macromolecular crowding promotes condensate nucleation but inhibits droplet growth through coalescence. ATP-dependent cellular activities help overcome the frustration of growth. In particular, actomyosin dynamics potentiate droplet growth by reducing confinement and elasticity in the mammalian cytoplasm, thereby enabling synDrop coarsening. Our results demonstrate that mesoscale molecular assembly is favored by the combined effects of crowding and active matter in the cytoplasm. These results move toward a better predictive understanding of condensate formation in vivo.

biophysics↗

Mapping interactions between disordered regions reveals promiscuity in biomolecular condensate formation

Intrinsically-disordered regions (IDRs) promote intracellular phase separation and the formation of biomolecular condensates through interactions encoded in their primary sequence. While these condensates form spatially distinct assemblies in cells, it is unclear whether such specificity can be conferred by IDRs alone. Indeed, IDRs exhibit high conformational flexibility whereas specificity in protein recognition is generally associated with well-defined 3D structures. To characterize IDR-IDR interactions and assess their ability to mediate self-specific partitioning, we developed a synthetic system of Multivalent IDRs forming Constitutive DROPlets (micDROP). We investigated ten natural IDRs that underwent phase separation in micDROP. These IDRs exhibited a wide range of saturation concentrations in vivo, which correlated well with their total sequence stickiness. We then probed IDR-IDR specificity by co-expressing pairs of IDRs fused to homologous scaffolds that did not co-assemble. We observed a high degree of promiscuity, particularly among IDRs from the proteins Ddx4, DYRK3, ER, FUS, hnRNPA1, HspB8, RBM14 and TAF15, whereas TDP43 and UBQ2 formed spatially distinct condensates regardless of their partner. Further investigation revealed the short and conserved -helical segment of TDP43s IDR was governing its specific self-recognition. Our findings imply that IDRs can tune their phase separation propensity through sequence composition, while their formation of discrete condensates likely requires additional cellular or structural determinants. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/547715v1_ufig1.gif" ALT="Figure 1"> View larger version (60K): org.highwire.dtl.DTLVardef@1bc6a1forg.highwire.dtl.DTLVardef@db4325org.highwire.dtl.DTLVardef@1154717org.highwire.dtl.DTLVardef@1ee619e_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

CC + : A Searchable Database of Validated Coiled coils in PDB Structures and AlphaFold2 Models

-Helical coiled coils are common tertiary and quaternary elements of protein structure. In coiled coils, two or more helices wrapped around each other to form bundles. This apparently simple structural motif can generate many architectures and topologies. Understanding the variety of and limits on coiled-coil assemblies and their sequence-to-structure relationships impacts on protein structure, design, and engineering. Coiled coil-forming sequences can be predicted from heptad repeats of hydrophobic and polar residues, hpphppp, although this is not always reliable. Alternatively, coiled-coil structures can be identified using the program SOCKET, which finds knobs-into-holes (KIH) packing between side chains of neighboring helices. SOCKET also classifies coiled-coil architecture and topology, thus allowing sequence-to-structure relationships to be garnered. In 2009, we used SOCKET to create a relational database of coiled-coil structures, CC+, from the RCSB Protein Data Bank (PDB). Here we report an update of CC+ following the recent explosion of structural data and the success of AlphaFold2 in predicting protein structures from genome sequences. With the most-stringent SOCKET parameters, CC+ contains {approx}12,000 coiled-coil assemblies from experimentally determined structures, and {approx}120,000 potential coiled-coil structures within single-chain models predicted by AlphaFold2 across 48 proteomes. CC+ allows these and other less-stringently defined coiled coils to be searched at various levels of structure, sequence, and side-chain interactions. The identified coiled coils can be viewed directly from CC+ using the Socket2 application, and their associated data can be downloaded for further analyses. CC+ is available freely at http://coiledcoils.chm.bris.ac.uk/CCPlus/Home.html. It will be regularly updated automatically. FOR THE BROADER AUDIENCEProtein assemblies and protein-protein interactions are key to all biological processes. -Helical coiled coils are one of the most common modes of directing and stabilising these interfaces. Here, we report an updated CC+ database of structurally validated coiled coils from experimental protein structures and AlphaFold2 models. CC+ contains many thousands of coiled-coil structures and models, associated parameters, and sequences. It enables the compilation of rich datasets for advancing protein structure, design, and engineering research.

bioinformatics↗

An atlas of protein homo-oligomerization across domains of life

Protein structures are essential to understand cellular processes in molecular detail. While advances in AI revealed the tertiary structure of proteins at scale, their quaternary structure remains mostly unknown. Here, we describe a scalable strategy based on AlphaFold2 to predict homo-oligomeric assemblies across four proteomes spanning the tree of life. We find that 50% of archaeal, 45% of bacterial, and 20% of eukaryotic proteomes form homomers. Our predictions accurately capture protein homo-oligomerization, recapitulate megadalton complexes, and unveil hundreds of novel homo-oligomer types. Analyzing these datasets reveals coiled-coil regions as major enablers of quaternary structure evolution in Eukaryotes. Integrating these structures with omics data shows that a majority of known protein complexes are symmetric. Finally, these datasets provide a structural context for interpreting disease mutations, which we find enriched at interfaces. Our strategy is applicable to any organism and provides a comprehensive view of homo-oligomerization in proteomes, protein networks, and disease. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=193 SRC="FIGDIR/small/544317v1_ufig1.gif" ALT="Figure 1"> View larger version (79K): org.highwire.dtl.DTLVardef@1507a12org.highwire.dtl.DTLVardef@7e522aorg.highwire.dtl.DTLVardef@1445410org.highwire.dtl.DTLVardef@eb09f7_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

Desolvation Energy Explains Partitioning of Client Proteins into Condensates

Membraneless organelles are cellular compartments that form by liquid-liquid phase separation of one or more components. Other molecules, such as other proteins and nucleic acids, will distribute between the cytoplasm and the liquid compartment in accordance with the thermodynamic drive to lower the free energy of the system. The resulting distribution colocalizes molecular species, to carry out a diversity of functions. Two factors could drive this partitioning: the difference in solvation between the dilute versus dense phase, and intermolecular interactions between the client and scaffold proteins. Here, we develop a set of knowledge-based potentials that allow for the direct comparison between desolvation energy and pairwise interaction energy terms, and use these to examine experimental data from two systems: protein cargo dissolving within phase-separated droplets made from FG repeat proteins of the nuclear pore complex, and client proteins dissolving within phase-separated FUS droplets. We find close agreement between desolvation energies of the client proteins and the experimentally determined values of the partition coefficients, while pairwise interaction energies between client and scaffold show weaker correlations. These results show that client stickiness is sufficient to explain differential partitioning of clients within these two phase-separated systems without taking into account the composition of the condensate. This suggests that selective trafficking of client proteins to distinct membraneless organelles requires recognition elements beyond the client sequence composition.

bioinformatics↗

Mutants libraries reveal negative design shielding proteins from mis-assembly and re-localization in cells

Understanding the molecular consequences of mutations in proteins is essential to map genotypes to phenotypes and interpret the increasing wealth of genomic data. While mutations are known to disrupt protein structure and function, their potential to create new structures and localization phenotypes has not yet been mapped to a sequence space. To map this relationship, we employed two homo-oligomeric protein complexes where the internal symmetry exacerbates the impact of mutations. We mutagenized three surface residues of each complex and monitored the mutations effect on localization and assembly phenotypes in yeast cells. While surface mutations are classically viewed as benign, our analysis of several hundred mutants revealed they often trigger three main phenotypes in these proteins: nuclear localization, the formation of puncta, and fibers. Strikingly, more than 50% of random mutants induced one of these phenotypes in both complexes. Analyzing the mutants sequences showed that surface stickiness and net charge are two key physicochemical properties associated with these changes. In one complex, more than 60% of mutants self-assembled into fibers. Such a high frequency is explained by negative design: charged residues shield the complex from misassembly, and the sole removal of the charges induces its assembly. A subsequent analysis of several other complexes targeted with alanine mutations suggested that negative design against mis-assembly and mislocalization is common. These results highlight that minimal perturbations in protein surfaces physicochemical properties can frequently drive assembly and localization changes in a cellular context.

biophysics↗

Designer protein assemblies with tunable phase diagrams in living cells

The self-organization of proteins into specific assemblies is a hallmark of biological systems. Principles governing protein-protein interactions have long been known. However, principles by which such nanoscale interactions generate diverse phenotypes of mesoscale assemblies, including phase-separated compartments, remains challenging to characterize and understand. To illuminate such principles, we create a system of two proteins designed to interact and form mesh-like assemblies in living cells. We devise a novel strategy to map high-resolution phase diagrams in vivo, which provide mesoscale self-assembly signatures of our system. The structural modularity of the two protein components allows straightforward modification of their molecular properties, enabling us to characterize how point mutations that change their interaction affinity impact the phase diagram and material state of the assemblies in vivo. Both, the phase diagrams and their dependence on interaction affinity were captured by theory and simulations, including out-of-equilibrium effects seen in growing cells. Applying our system to interrogate biological mechanisms of self-assembly, we find that co-translational protein binding suffices to recruit an mRNA to the designed micron-scale structures.Competing Interest StatementThe authors have declared no competing interest.View Full Text

synthetic biology↗

Pooled clone collections by multiplexed CRISPR/Cas12a-assisted gene tagging in yeast

Clone collections of modified strains ( libraries) are a major resource for systematic studies with the yeast Saccharomyces cerevisiae. Construction of such libraries is time-consuming, costly and confined to the genetic background of a specific yeast strain. To overcome these limitations, we developed CRISPR/Cas12a (Cpf1)-assisted tag library engineering (CASTLING) for multiplexed strain construction. CASTLING uses microarray-synthesized oligonucleotide pools and in vitro recombineering to program the genomic insertion of long DNA constructs via homologous recombination. One simple transformation yields pooled libraries with >90% of correctly tagged clones. Up to several hundred genes can be tagged in a single step and, on a genomic scale, approximately half of all genes are tagged with only ~10-fold oversampling. We report several parameters that affect tagging success and provide a quantitative targeted next-generation sequencing method to analyze such pooled collections. Thus, CASTLING unlocks new avenues for increased throughput in functional genomics and cell biology research. (max 150 words)

genomics↗

Reprogramming protein abundance fluctuations in single cells by degradation

Isogenic cells living in the same environment show a natural heterogeneity associated with fluctuations in gene expression. When these fluctuations propagate through cellular regulatory networks, they can give rise to noise regulons, whereby multiple genes fluctuate in a coordinated fashion in single cells. The propagation of these fluctuations has been extensively characterized at the transcriptional level. For example, variations in transcription factor concentration induce correlated fluctuations in the abundance of target gene products. Here, we find that such noise regulons can also stem from protein degradation. We expressed pairs of yellow and red fluorescent proteins, subjected them to differential translation or degradation, and analyzed their fluctuations in single cells. While differential translation had little impact on fluctuations, protein degradation was found to be a dominant contributor. A mathematical model to decompose fluctuations arising from multiple sources of regulation revealed that cells with higher protein production capacity also exhibited higher protein degradation capacity. This association uncouples fluctuations in protein abundance from fluctuations in production rate, and can generate orthogonal noise regulons even for proteins relying on the same transcriptional program.

systems biology↗

A genome-wide resource for high-throughput genomic tagging of yeast ORFs

Here we describe a C-SWAT library for high-throughput tagging of Saccharomyces cerevisiae ORFs. It consists of 5661 strains with an acceptor module inserted after each ORF, which can be efficiently replaced with tags or regulatory elements. We validate the library with targeted sequencing and demonstrate its use by tagging the yeast proteome with bright fluorescent proteins, determining how sequences downstream of ORFs influence protein expression and localizing previously undetected proteins.

genomics↗