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Robinson, J. P.

Publications and source records attributed to Robinson, J. P..

9 recordsLinked to original sources

Elucidation of Sequence Constraints for Protein Folding on the Ribosome

The pioneering round of protein folding on the ribosome is critical for the proper assembly and function of many proteins. Emerging evidence suggests some proteins sample distinct conformational intermediates during translation, which implies the mechanisms of cotranslational folding may impose specific constraints on protein sequence. To assess how folding on ribosome may shape mutational tolerance, we paired a fluorogenic arrest peptide sensor with deep mutational scanning to survey how 9,480 mutations modulate E. coli dihydrofolate reductase (DHFR) folding on the ribosome in live cells. By controlling for differences in variant abundance, we assess how these mutations specifically impact the efficiency of DHFR folding on stalled ribosomes. Mutagenic trends are broadly correlated with computational estimates for the change in the free energy of the native fold, suggesting that the sequence constraints associated with late-stage folding on the ribosome are broadly similar to those of post-translational folding. However, a close inspection of mutagenic trends reveals that folding on the ribosome is vulnerable to perturbations of specific contacts within a central portion of the adenosine binding domain and the C-terminal {beta}-strands of the discontinuous loop domain. Some of these regions are known to retain structure in the context of conformational intermediates that form on and off the ribosome, while others appear to be specific to cotranslational interactions. Together, our findings highlight how the constraints of folding on the ribosome may constrain evolutionary sequence space.

biophysics↗

Translocon Remodeling Modulates Ribosomal Frameshifting and the Maturation of the Sindbis Virus Structural Polyprotein

Like other enveloped RNA viruses, alphaviruses synthesize and assemble their envelope glycoproteins at the endoplasmic reticulum (ER) membrane. There, protein-conducting channels called translocons provide nascent proteins access to the membrane and allow them to fold into their correct shapes. We previously showed that a hydrophobic segment in the Sindbis virus structural polyprotein forms cotranslational interactions with the translocon that enhance -1 programmed ribosomal frameshifting (-1PRF), a recoding event that regulates polyprotein biogenesis. Recent discoveries concerning translocon remodeling suggest this segment, which corresponds to the second transmembrane domain of the E2 protein, could serve as a signal that recruits the multipass translocon (MPT). Here, we show that knocking out certain components of the MPT increases -1PRF efficiency. These differences in recoding coincide with changes in the membrane topology of the nascent polyprotein and in its downstream proteolytic processing in a manner that ultimately reduces viral fitness. Together, our results indicate that -1PRF and spike protein maturation in alphaviruses is tuned by the dynamic remodeling of the ER translocon. Such coupling could allow polyprotein biogenesis to adapt to different stages of viral replication and to distinct host or vector environments.

molecular biology↗

Profiling the CFTR Variant Selectivity and Off-Target Interactions of VX-121

More than 1,200 variants of the cystic fibrosis transmembrane conductance regulator gene (CFTR) are associated with cystic fibrosis (CF), an autosomal recessive pulmonary disease affecting over 100,000 people. Most people with CF bear a common CFTR variant (F508del) that can be treated with therapeutics containing "correctors" that suppress the misfolding of the CFTR chloride channel. However, the pharmacological responsiveness of other rare CF variants can vary tremendously. The approval of VX-121, a VX-445 analog that serves as a key component of AlyftrekTM, potentially provides a new therapeutic option for those with rare CF variants. Nevertheless, it remains unclear whether VX-121 offers superior rescue across the entire spectrum of rare CF variants. In this work, we use deep mutational scanning (DMS) to survey the impact of VX-121 on the plasma membrane expression of 232 rare CF variants. Our results show that VX-121 generally enhances CF variant expression more than VX-445 and is most potent towards variants with mutations in the first membrane spanning domain (MSD1). However, we identify one variant (Y1032C) with diminished proteostatic and functional selectivity for VX-121 relative to VX-445. Computational docking suggests that the native Y1032 side chain forms favorable interactions with VX-121 that are disrupted by this mutation in a manner that alters its coordination. Finally, using photo-crosslinking, we show that VX-121 avoids a key off-target interaction of VX-445. Together, our findings provide new insights into the similarities and differences between current approved CF therapeutics.

pharmacology and toxicology↗

Nutrient content estimation of the world's fishes

Seafood nutrients from global fisheries are of increasing importance for research and policy in food security and nutrition. As the chemical composition of fish is determined by what they eat, their energetic demands, and the environment in which they live, nutrient content reflects aspects of physiology and life history, ecological and environmental traits, as well as evolutionary history. Here we present data from Bayesian model estimates of 12 key nutrients (calcium, iron, phosphorus, magnesium, selenium, zinc, vitamin A, vitamin B9, vitamin B12, vitamin D, omega-3 fatty acids, and protein) in wild fish, using a database of reported nutrient content for freshwater and marine species. We then predict the nutrient content of 5588 fish species with traits available from FishBase. We compare our previous model using traits alone with a new model of both traits and phylogeny, and present the data, code, and predictions for models coded in PyMC. These models and predictions, made freely available through FishBase, can be used to explore the historical, current, and future nutrient content of fisheries catch.

ecology↗

Deep Receptor Scanning Reveals General Sequence Constraints on GPCR Biosynthesis

G protein-coupled receptors (GPCRs) mediate a variety of signaling pathways and are the most common pharmacological targets. While advances in structural biochemistry have provided deep functional insights into key receptors, many of the 800+ human GPCRs remain understudied. We introduce a versatile "deep receptor scanning" platform that can be used to experimentally characterize 766 human GPCRs and 174 known GPCR splice variants in parallel. We use this platform to quantitatively characterize the relative abundance of canonical and alternative receptor transcripts, their translational efficiency, and the plasma membrane expression of each receptor in the context of a recombinant pool of HEK293T cells expressing individual GPCRs. We then employ machine learning to identify specific structural features that modulate GPCR expression. This experimental platform and informatic approach are compatible with a variety of assays and can be used to efficiently explore the biochemical and pharmacological properties of the GPCRome.

biochemistry↗

An optimal transport-based low-dimensional visualization framework for high-parameter flow cytometry

Conventional data visualization techniques in single-cell analysis (such as two-dimensional dot plots, SPADE, PCA, t-SNE, or UMAP) often fall short in providing an intuitive understanding of high-parameter flow cytometry data. These methods tend to oversimplify complex biological relationships, lack biologically meaningful interpretations, and offer no principled framework for downstream quantitative analysis. To address these limitations, we present a graph-based visualization framework grounded in optimal transport theory. In this framework, cell populations are defined by their marker-expression profiles, and inter-population similarity is quantified using an efficiently computable optimal transport formulation known as the Sinkhorn distance. Our approach produces biologically consistent two-dimensional graph layouts using a phenotypeaware Hamming distance. Structural differences between sample graphs are characterized through a customized graph-edit distance that captures changes in population size, marker expression, and relationships between populations. We demonstrate our methods on two flow cytometry datasets: one from a clinical trial of dendritic cell-based immunotherapy in malignant peritoneal mesothelioma, involving 14 patients sampled at three time points with 14-color panels, and another from FlowCAP-II, which involved 43 acute myeloid leukemia patient samples analyzed with 7-color panels. Our framework produces robust, quantitative visual summaries of cell populations and supports statistical analysis based on graph edit distances, thereby offering new insights into disease progression and treatment response. Ultimately, our method bridges the gap between flow cytometry data visualization and biological interpretation.

bioinformatics↗

H3F3A K27M Mutations Drives a Repressive Transcriptome by Modulating Chromatin Accessibility, Independent of H3K27me3 in Diffuse Midline Glioma

BackgroundHeterozygous histone H3.3K27M mutation is a primary oncogenic driver of Diffuse Midline Glioma (DMG). H3.3K27M inhibits the Polycomb Repressive Complex 2 (PRC2) methyltransferase complex, leading to a global reduction and redistributing of the repressive H3 lysine 27 tri-methylation. This rewiring of the epigenome is thought to promote gliomagenesis. MethodsWe established novel, isogenic DMG patient-derived cell lines that have been CRISPR-Cas9 edited to H3.3 WT or H3.3K27M alone and in combination with EZH2 and EZH1 co-deletion, inactivating PRC2 methyltransferase activity of PRC2 and eliminating H3K27me3. ResultsRNA-seq and ATAC-seq analysis of these cells revealed that K27M has a novel epigenetic effect that appears entirely independent of its effects on PRC2 function. While the loss of the PRC2 complex led to a systemic induction of gene expression (including HOX gene clusters) and upregulation of biological pathways, K27M led to a balanced gene deregulation but having an overall repressive effect on the biological pathways. Importantly, the genes uniquely deregulated by the K27M mutation, independent of methylation loss, are closely associated with changes in chromatin accessibility, with upregulated genes becoming more accessible. Notably, the PRC2- independent function of K27M appears necessary for tumorigenesis as xenografts of our H3.3K27M/EZH1/2 WT cells developed into tumors, while H3.3/EZH1/2 KO cells did not. ConclusionWe demonstrate that K27M mutation alters chromatin accessibility and uniquely deregulates genes, independent of K27 methylation. We further show the mutations role in altering biological pathways and its necessity for tumor development. Key PointsO_LIWe revealed genes regulated by H3.3K27M mutation and PRC2 in DMG. C_LIO_LIH3.3K27M mutation alters chromosome accessibility independent of H3K27me3. C_LIO_LIPRC2-independent effects of K27M mutation are crucial for tumor development. C_LI Importance of the StudyThis study is the first to demonstrate that H3F3A K27M mutations drive a repressive transcriptome by modulating chromatin accessibility independently of H3K27 trimethylation in Diffuse Midline Glioma (DMG). By isolating the effects of H3.3 K27me3 loss from those of the K27M mutation, we identified common and unique genes and pathways affected by each. We found that genes uniquely deregulated by K27M showed increased chromatin accessibility and upregulated gene expression, unlike other gene subsets affected by PRC2 knockout. Importantly, we determined the PRC2-independent function of K27M is also essential for tumorigenesis, as xenografts of H3.3 K27M/PRC2 WT cell lines formed tumors, while H3.3WT/PRC2 WT and K27M/PRC2 knockout cells did not. This research builds upon and advances prior studies, such as those identifying EZH2 as a therapeutic target in H3.3K27M DMGs, by revealing critical new pathways for gliomagenesis. The translational significance lies in identifying novel therapeutic targets against this aggressive pediatric cancer. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=189 SRC="FIGDIR/small/594522v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@61edd6org.highwire.dtl.DTLVardef@145935dorg.highwire.dtl.DTLVardef@cde85aorg.highwire.dtl.DTLVardef@5184b7_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

Measuring autofluorescence spectral signatures for detecting antibiotic-resistant bacteria using Bigfoot spectral flow cytometer

Application of flow cytometry to microbiology has been limited due to inadequate availability of bacterial-specific stains, expensive antibody-based fluorophores, ineffective stain cell permeability and challenges in differentiating bacterial cells from cell debris due to their similarity and their small size. In addition, staining cells demands multiple washing steps which limits the sensitivity of detection due to the cell volume that is up to two orders smaller than typical eukaryotic cells. Further, most flow cytometers are not equipped to handle pathogenic organisms. Autofluorescence-based detection of cells can be a useful method for bacterial detection as multiple washing steps can be avoided and it also reduces the time and cost of using stains. Multiple studies have shown that the autofluorescence in bacterial cells are mainly linked to specific proteins, enzymes, or enzyme cofactors such as Flavin Adenine Dinucleotide (FAD) and Nicotinamide Adenine Dinucleotide (NAD) which are involved in bacterial metabolism. In this report, we present a novel method for differentiation between clinically isolated antibiotic resistant and non-resistant bacteria by utilizing their autofluorescence spectral signatures. We utilized a spectral cytometer known as Bigfoot which is equipped with an integrated biosafety cabinet allowing easy handling of pathogenic organisms unlike any other flow cytometers. Bigfoot also has 9 lasers and 54 fluorescence detectors which we utilize to capture the bacterial spectral autofluorescence signatures. As a proof of principle, we initially stressed different types of bacteria (E.coli and Salmonella sp.) using gentamicin antibiotics by collecting spectral autofluorescence over different time points. The spectral signatures were compared with the non-stressed bacteria. We observed that the stressed bacteria showed an increase in autofluorescence at distinct excitation (Ultraviolet, Violet, and blue color) and emission wavelengths whereas the non-stressed did not. The same experiments were repeated to compare the autofluorescence signatures between Methicillin-resistant and methicillin susceptible staphylococcus aureus (MRSA and MSSA) which were stressed with oxacillin antibiotics. MSSA showed an increase in autofluorescence between 4 - 6 h after exposure to oxacillin. MRSA on the other hand showed no increase in autofluorescence and the autofluorescence between stressed and non-stressed MRSA had similar signatures. This demonstrated that the antibiotic resistant or susceptible strain can be detected by observing the change in autofluorescence signature at specific wavelengths in a few hours. This label-free, quantitative, and resistant-specific autofluorescence spectral signatures from the Bigfoot spectral flow cytometer could potentially be utilized for rapid detection of antibioticresistant strain.

bioengineering↗

The histone H3.3 K27M mutation found in diffuse midline gliomas coordinately disrupts adjacent H3.3 Ser31 phosphorylation and the fidelity of chromosome segregation

During the cell cycle, differential phosphorylation of select histone H3 serine/threonine residues regulates chromatin structure, necessary for both dynamic transcriptional control and proper chromosome segregation1-2. Histone H3.3 contains a highly conserved serine residue (Ser31) within its N-terminal tail that is unique to this variant. During interphase phosphorylation of Ser31 amplifies stimulation-induced transcription and is required for early metazoan development3-6. During mitosis Ser31 phosphorylation at the pericentromere supports proper chromosome segregation, albeit by unknown mechanisms7-10. H3.3 Ser31 is flanked by mutational sites that drive several human cancers, including pediatric gliomas5-8. This is typified by the H3.3K27M mutation found in [~]80% of diffuse midline gliomas, which undergo epigenetic reprogramming in proliferative cells coordinate with loss of global H3 lysine 27 trimethylation (H3K27Me3)11-14. However, whether the K27M mutation influences the neighboring Ser31 phosphorylation and whether disrupting Ser31 phosphorylation plays a distinct role in driving gliomagenesis has not been tested. Here we show that H3.3K27M mutant cells have reduced capacity for H3.3 Ser31 phosphorylation at the mitotic pericentromere, increased rates of chromosome missegregation, and impaired G1 checkpoint responses to chromosome instability. CRISPR-reversion of K27M to wild-type restores phospho-Ser31 levels and suppresses chromosome segregation defects. CRISPR editing to introduce a non-phosphorylatable H3.3S31A alone is sufficient to increase the frequency of chromosome missegregations. Finally, expression of H3.3S31A in a PDGF{beta}-driven RCAS/TVA mouse model is sufficient to drive high grade gliomagenesis, generating diffuse tumors morphologically indistinguishable from those generated by H3.3K27M expression. Importantly, this occurs without the loss of H3K27 triple methylation that is the hallmark of K27M tumors. Our results reveal that the H3.3 K27M mutation alters the neighboring Ser31 phosphorylation, and loss of proper H3.3 Ser31 phosphorylation contributes to the formation of diffuse midline gliomas.

cancer biology↗