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Biology subjects

Michnick, S. W.

Publications and source records attributed to Michnick, S. W..

8 recordsLinked to original sources

SARS-CoV-2 maturation driven by a mechano-active nucleocapsid-RNA condensate

The nucleocapsid (N) protein, the core component of the SARS-CoV-2 virus, binds to the 30-kb viral genomic RNA (vgRNA) to form ribonucleoprotein assemblies that are packaged into ~100 nm membrane-enclosed virions. In addition to viral assembly, the N protein performs other functions, including roles in viral mRNA transcription, replication, and immune regulation, making it a key target for developing diagnostics and vaccines. Recent studies show that N protein and RNA undergo phase separation to form a biomolecular condensate that constitutes the viral core. However, how this condensate becomes selectively enveloped by a membrane remains unclear. Here, using a minimal reconstituted system, we demonstrate that N protein-vgRNA condensates are spontaneously enveloped by lipid bilayer membranes, whereas condensates formed by N protein alone or with genomic RNA fragments fail to undergo envelopment and instead adhere to or weakly deform membranes. We show that RNA length tunes the material properties of N protein condensates, with vgRNA imparting enhanced elasticity. We propose a physical model for SARS-CoV-2 maturation in which adhesion between the membrane and the N protein-vgRNA condensate drives membrane bending, while condensate elasticity preserves core geometry. These results identify RNA-dependent material properties as an underlying physical principle for selective SARS-CoV-2 maturation.

biophysics↗

A strategy for genome-wide seamless tagging of human protein-coding genes

Comprehensive and systematic proteome-wide experiments require financial and technical resources unavailable to most researchers. Here we describe a scalable CRISPR/Cas9-non-homologous end joining (NHEJ) based method for Pooled Recombinant Integration of Seamless Markers (PRISM) into protein coding genes. We created two gRNA libraries for 5- and 3-tagging of 18,804 human protein-coding genes. Selection for in-frame integration of the donor cassette can be guaranteed by fusing it to an antibiotic resistance enzyme (ARE) and P2A self-cleaving peptide, resulting in tagged proteins and free ARE to select for clones with inserted donor cassettes. We achieved a library integration rate of 19.75% and tagging of [~]80% for genes expressed in Hek293T cells and notably, 89.7% of essential genes, with donor DNA. Our strategy is scalable, specific, and selective, paving the way for genome-scale construction of human cell lines tagged with different types of reporter genes for protein functional characterization. Significance statementHere we report the first practical method to achieve near complete 5- or 3-end integration of reporter protein-coding sequences to express seamless fusions of human protein and reporter proteins that we call Pooled Recombinant Integration of Seamless Markers (PRISM). PRISM is independent of homology templates, yet it works with high efficiency and precision. Using gRNA-directed CRISPR/Cas9 genome editing and mini-plasmid donor cassettes we were able to tag about 80% of the protein-coding sequences of human genes with a green florescent protein at an integration efficiency of about 20% and most notably, of 90% of essential genes in the human cell line HEK 293T. This is important because the characterization of gene functions in a particular cell type usually begins with essential genes.

systems biology↗

HP1-enhanced chromatin compaction stabilizes a synthetic metabolic circuit in yeast

Chromatin compaction defines genome topology, evolution, and function. The Saccharomycotina subphylum, including the fermenting yeast Saccharomyces cerevisiae have a decompacted genome, possibly because they lost two genes mediating a specific histone lysine methylation and histone binding protein heterochromatin protein 1 (HP1). This decompaction may result in the higher-than-expected mutation and meiotic recombination rates observed in this species. To test this hypothesis, we retro-engineered S. cerevisiae to compact the genome by expressing the HP1 homologue of Schizosaccharomyces pombe SpSwi6 and H3K9 methyltransferase SpClr4. The resulting strain had significantly more compact chromatin and reduced rates of mutation and meiotic recombination. The increased genomic stability significantly prolongs the optogenetic control of an engineered strain designed to grow only in blue light. This result demonstrates the potential of our approach to enhance the stability of strains for metabolic engineering and other synthetic biology applications, which are prone to lose activities due to genetic instability.

synthetic biology↗

Protein-protein interaction is a major source of epistasis in genetic interaction networks

Genetic interaction (GI) and protein-protein interaction (PPI) networks have proved among the most important tools for inference of gene function and genotype-phenotype relationship1-6. It remains unclear, however, how these two networks are related to each other. Here we demonstrate that the strengths of epistatic genetic interactions between two genes strongly correlate with the binding free energies of interactions between their cognate proteins, for both yeast and human genomes. Consequently, we show that GI and PPI networks can reciprocally predict each other. Further, we observe that functional divergence and redundancy in duplicated genes (paralogs) are reflected in the binding affinity of their interactions with other proteins and in their genetic interaction strengths. Finally, we demonstrate that the overall topologies of GI and PPI networks significantly overlap in two topological features: Modules, in which genes/proteins are organized by common function, and connectors, which link modules to each other. This opens avenues for new integrated network approaches in understanding cellular processes and flow of genomic information.

systems biology↗

Genetic landscape of an in vivo protein interactome

Protein-protein interaction (PPI) networks accurately map environmental perturbations to their molecular consequences in cells, but effects of genome-wide genetic variation on PPIs remain unknown. We hypothesized that PPI networks integrate genetic and environmental effects, potentially defining biochemical mechanisms underlying complex polygenic traits. Here, we measured 61 PPIs in inbred strains of Saccharomyces cerevisiae with [~]12,000 single-nucleotide polymorphisms (SNPs) across the genome. Unlike mRNA expression and protein abundance that are primarily affected by SNPs local (in "cis") to a gene, PPIs are predominantly affected by SNPs far (in "trans") to the genomic loci of the interacting proteins. However, consistent with the PPI networks small-world characteristic, these transacting SNPs are in neighboring genes in the network. We likewise discovered SNPs in non-coding RNAs and post-transcriptional regulators (3 UTRs) with, counterintuitively, larger PPI-modulating effects than SNPs within protein-coding regions. Finally, we inferred known and novel mechanisms of action for yeast and human drugs. HIGHLIGHTSO_LIProtein-interaction quantitative trait locus ("piQTL") mapping reveals sensitivity of in vivo PPIs to polymorphisms across the yeast genome C_LIO_LITrans-piQTLs significantly outnumber and are stronger than cis-piQTLs C_LIO_LISNPs in non-coding RNAs and 3 UTRs have comparable effects to PPI as SNPs in coding regions C_LIO_LIpiQTL mapping reveals known and novel mechanism of yeast and human drugs C_LI

genomics↗

Peroxisome biogenesis initiated by protein phase separation

Peroxisomes are organelles that perform beta-oxidation of fatty acids and amino acids. Both rare and prevalent diseases are caused by their disfunction1. Among disease-causing mutant genes are those required for protein transport into the peroxisome. The peroxisomal protein import machinery, also shared with chloroplasts, is unique in transporting folded and large, up to 10 nm in diameter, protein complexes into peroxisomes2 and current models postulate a large pore formed by transmembrane proteins3. To date, however, no pore structure has been observed. In the budding yeast Saccharomyces cerevisiae, the minimum transport machinery includes membrane proteins Pex13 and Pex14 and cargo protein-binding transport receptor, Pex5. Here we show that Pex13 undergoes liquid-liquid phase separation (LLPS) with Pex5-cargo. Intrinsically disordered regions (IDR) in Pex13 and Pex5 resemble those found in nuclear pore complex (NPC) proteins. Cargo transport into peroxisomes depends on the number but not patterns of aromatic residues in these IDRs, consistent with their roles as stickers in associative polymer models of LLPS4,5. Finally, imaging Fluorescence Cross-Correlation Spectroscopy (iFCCS) shows that the transport of cargo correlates with transient focusing of GFP-Pex13/14 on the peroxisome membrane. Pex13 and Pex14 form foci in distinct time-frames, suggesting that they may form channels at different saturating concentrations of Pex5-cargo. Our results suggest a model in which LLPS of Pex5-cargo with Pex13/14 results in transient protein transport channels.

cell biology↗

Probing inhomogeneous diffusion in the microenvironments of phase-separated polymers under confinement

Biopolymer condensates formed by liquid-liquid phase separation of proteins and nucleic acids have been recently discovered to be prevalent in biology. These dynamic condensates behave like biochemical reaction vessels but little is known about their structural organization and properties. Their biophysical properties and catalytic functions are likely related to condensate size, and thus it is critical that we study them on scales found in vivo. However, previous in vitro studies of condensate assembly and physical properties have involved condensates up to 1000 times larger than those found in vivo. Here, we report the application of confinement microscopy to visualize condensates and control their sizes by creating appropriate confinement length scales relevant to the cell environment. We observe anomalous diffusion of probe particles embedded within confined condensates, as well as heterogeneous dynamics in condensates formed from PEG/dextran and in ribonucleoprotein complexes of RNA and the RNA-binding protein Dhh1. We propose that the non-Gaussian dynamics we observe may indicate a hopping diffusion mechanism inside condensates. We also observe that for dextran-rich condensates, but not for ribonucleo condensates, probe particle diffusion depends on condensate size.

biophysics↗

Endocytosis caused by liquid-liquid phase separation of proteins

Membrane invagination and vesicle formation are key steps in endocytosis and cellular trafficking. Here, we show that endocytic coat proteins with prion-like domains (PLDs) form hemispherical puncta in the budding yeast, S. cerevisiae. These puncta have the hallmarks of biomolecular condensates and enable membrane remodeling to drive actin-independent endocytosis. The puncta, which we refer to as endocytic condensates, form and dissolve reversibly in response to changes in temperature and solution conditions. The condensates are organized around dynamic protein-protein interaction networks, which involve interactions among PLDs with high glutamine contents. The endocytic coat protein Sla1 is at the hub of the protein-protein interaction network. Using active rheology, we indirectly characterized the material properties of endocytic condensates. These experiments show that endocytic condensates are viscoelastic materials and allow us to estimate the interfacial tension between endocytic condensates and their surroundings. We then adapt the physics of contact mechanics, specifically the contact theory of Hertz, to develop a quantitative framework for describing how interfacial tensions among condensates, the membrane, and the cytosol can deform the plasma membrane to enable actin independent endocytosis.

cell biology↗