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Goldberg, S.

Publications and source records attributed to Goldberg, S..

14 recordsLinked to original sources

High avidity phase-separated RNA-protein sialogranules sense lectins and inhibit influenza infection

We previously developed synthetic RNA-protein (sRNP) granules as stable, programmable, genetically encoded nanoparticles. Here, we adapt this platform into high-avidity sialogranules that inhibit influenza virus entry. Natural or synthetic 2,6-sialylated proteins and peptides were fused to RNA-binding domains and assembled with synthetic long non-coding RNA to form phase-separated glyco-nanoparticles. Using the sialic-acid-binding lectin Sambucus nigra agglutinin (SNA), we identified a selective transition from sialogranules to tri-component multiphasic biocondensates that occurs only for sialylated constructs. The structural features of this transition quantitatively correlate with predicted sialylation density, enabling extraction of an effective avidity constant. Enzymatic desialylation with neuraminidase or Endo H abolished SNA binding and restored native granule morphology. Guided by this assay, LAMP1-based sialogranules were selected and inhibited influenza entry by [~]50% in cell culture. These results establish sRNP sialogranules as programmable glyco-nanoparticles integrating glycan sensing with antiviral decoy activity.

synthetic biology↗

Synthetic RNA-protein decoy granules to prevent SARS-CoV-2 infection

Synthetic receptor decoys offer a promising strategy to block viral entry but are often limited by instability and rapid clearance. Here we introduce AntiCoV decoy particles: phase-separated synthetic RNA-protein nanoparticles that display multivalent human ACE2 and act as robust decoy receptors for SARS-CoV-2. The granules remain structurally stable for at least two weeks at room temperature. Using confocal imaging and FRET, we show that the SARS-CoV-2 receptor-binding domain is absorbed into the granule matrix with nanometer-scale proximity to ACE2. In viral entry assays with Delta and Omicron (BA.1) variants, AntiCoV decoy particles achieve complete inhibition of infection at low micromolar concentrations and outperform soluble ACE2, which also exhibits infection enhancement at low doses. A minimal kinetic model suggests a multistep spike-priming mechanism that reconciles this biphasic response. AntiCoV decoy particles therefore provide a stable, modular, and pan-variant antiviral platform with potential for low-cost, room-temperature-stable prophylaxis.

synthetic biology↗

Formation of polyphasic RNP granules by intrinsically disordered Qβ coat proteins and hairpin-containing RNA

RNA-protein (RNP) granules are fundamental components in mammalian cells where they perform multiple crucial functions. Many RNP granules form via phase separation driven by protein-protein, protein-RNA, and RNA-RNA interactions. Notably, associated proteins frequently contain intrinsically disordered regions (IDRs) which can associate with multiple partners. Previously we have shown that synthetic RNA molecules containing multiple hairpin coat-protein binding sites can phase separate, forming granules capable of selectively incorporating proteins inside. Here, we expand this platform by introducing a phage coat protein with a known IDR which facilitates protein-protein interactions. We show that the coat protein phase-separates on its own in vivo, and that introduction of hairpin-containing RNA molecules can lead to dissolvement of the protein granules. We further demonstrate via multiple assays that RNA valency, determined by the number of hairpins present on the RNA, leads to distinctly different phase behaviors, effectively forming a polyphasic programmable RNP granule. Moreover, by incorporating the gene for a blue fluorescent protein into the RNA, we demonstrate a phase-dependent boost to protein titer. These insights not only shed light on the behavior of natural granules, but also hold profound implications for the biotechnology field, offering a blueprint for engineering cellular compartments with tailored functionalities.

biophysics↗

Phase Separation-based Antiviral Decoy Particles as Basis for Programmable Broad-spectrum Therapeutics

To gain access to cells, viruses employ host proteins as receptors. In soluble form, these receptors are used as decoys to inhibit infection. We fused candidate soluble receptors to an RNA-binding protein, and using synthetic long non-coding RNA (slncRNA) cassettes that can undergo phase-separation we scaffolded the receptor fusions to generate antiviral decoy particles. Using confocal microscopy, we screened antiviral protein candidates by observing changes in phase-separation morphology when incubated with viral-mimicking components. We demonstrated that ACE2 decoy particles bind strongly to the coronavirus RBD, facilitating FRET, while sufficiently sialylated decoy particles form agglutinated structures with RNA peripheries in the presence of a sialolectin. Infection assays show ACE2 decoy particles fully inhibit the Delta and Omicron BA.1 coronavirus variants, and LAMP1 and GYPA decoy particles significantly reduce influenza infection in-cellulo. This work establishes a foundation for broad-spectrum antiviral decoy particles, composed of multiple receptors targeting various viruses.

synthetic biology↗

DNA methylation meta-analysis confirms the division of the genome into two functional groups

Based on a meta-analysis of human genome methylation data, we tested a theoretical model in which aging is explained by the redistribution of limited resources in cells between two main tasks of the organism: its self-sustenance based on the function of the housekeeping gene group (HG) and functional differentiation, provided by the (IntG) integrative gene group. A meta-analysis of methylation of 100 genes, 50 in the HG group and 50 in IntG, showed significant differences (p<0.0001) between our groups in the level of absolute methylation values of genes bodies and its promoters. We showed a reliable decrease of absolute methylation values in IntG with rising age in contrast to HG, where this level remained constant. The one-sided decrease in methylation in the IntG group is indirectly confirmed by the dispersion data analysis, which also decreased in the genes of this group. The imbalance between HG and IntG in methylation levels suggests that this IntG-shift is a side effect of the ontogenesis grownup program and the main cause of aging. The theoretical model of functional genome division also suggests the leading role of slow dividing and post mitotic cells in triggering and implementing the aging process.

developmental biology↗

A cell-free assay for rapid screening of inhibitors of hACE2-receptor - SARS-CoV-2-Spike binding

We present a cell-free assay for rapid screening of candidate inhibitors of protein binding, focusing on inhibition of the interaction between the SARS-CoV-2 Spike receptor binding domain (RBD) and human angiotensin-converting enzyme 2 (hACE2). The assay has two components: fluorescent polystyrene particles covalently coated with RBD, termed virion-particles (v-particles), and fluorescently-labeled hACE2 (hACE2F) that binds the v-particles. When incubated with an inhibitor, v-particle - hACE2F binding is diminished, resulting in a reduction in the fluorescent signal of bound hACE2F relative to the non-inhibitor control, which can be measured via flow cytometry or fluorescence microscopy. We determine the amount of RBD needed for v-particle preparation, v-particle incubation time with hACE2F, hACE2F detection limit, and specificity of v-particle binding to hACE2F. We measure the dose response of the v-particles to a known inhibitor. Finally, we demonstrate that RNA-hACE2F granules trap v-particles effectively, providing a basis for potential RNA-hACE2F therapeutics.

synthetic biology↗

Prelimbic-dependent activation of amygdala somatostatin interneurons signals non-aversive cues to promote discrimination.

The amygdala and prelimbic cortex (PL) communicate during fear discrimination retrieval, but how they coordinate to discriminate a non-threatening stimulus is unknown. Here, we show that somatostatin interneurons (SOM) in the basolateral amygdala (BLA) become active specifically during learned non-threatening cues, when they block sensory-evoked phase resetting of theta-oscillations. Further, we show that SOM activation is PL-dependent, and promotes discrimination of non-threat. Thus, fear discrimination engages PL-dependent coordination of BLA SOM responses to non-threatening stimuli.

neuroscience↗

Identifying triplex binding rules in vitro leads to creation of a new synthetic regulatory tool in vivo

Nature provides a rich toolbox of dynamic nucleic acid structures that are widespread in cells and affect multiple biological processes1. Recently, non-canonical structures gained renewed scientific and biotechnological interest2,3. One particularly intriguing form of such structures are triplexes4 in which a single-stranded nucleic acid molecule interacts via Hoogsteen bonds with a DNA/RNA double helix5. Despite extensive research in vitro6-9, the underlying rules for triplex formation remain debated and evidence for triplexes in vivo is circumstantial10-12. Here, we demonstrate the development of a deep-sequencing platform termed Triplex-Seq to systematically refine the DNA triplex code and identify high affinity triplex forming oligo (TFO) variants. We identified a preference for short G-rich motifs using an oligo-library with a mix of all four bases. These high-information content motifs formed specific high-affinity triplexes in a pH-independent manner and stability was increased with G-rich double-stranded molecules. We then conjugated one high-affinity and one low-affinity variant to a VP48 peptide and studied these synthetic biomolecules in mammalian cells. Using these peptide-oligo constructs (POCs), we demonstrated possible triplex-induced down-regulation activity in 544 differentially expressed genes. Our results show that deep-sequencing platforms can substantially expand our understanding of triplex binding rules, which in turn has led to the development of a functional non-genetically encoded regulatory tool for in vivo applications.

synthetic biology↗

Overcoming the design, build, test (DBT) bottleneck for synthesis of nonrepetitive protein-RNA binding cassettes for RNA applications

The design-build-test (DBT) cycle in synthetic biology is considered to be a major bottleneck for progress in the field. The emergence of high-throughput experimental techniques, such as oligo libraries (OLs), combined with machine learning (ML) algorithms, provide the ingredients for a potential "big-data" solution that can generate a sufficient predictive capability to overcome the DBT bottleneck. In this work, we apply the OL-ML approach to the design of RNA cassettes used in gene editing and RNA tracking systems. RNA cassettes are typically made of repetitive hairpins, therefore hindering their retention, synthesis, and functionality. Here, we carried out a high-throughput OL-based experiment to generate thousands of new binding sites for the phage coat proteins of bacteriophages MS2 (MCP), PP7 (PCP), and Q{beta} (QCP). We then applied a neural network to vastly expand this space of binding sites to millions of additional predicted sites, which allowed us to identify the structural and sequence features that are critical for the binding of each RBP. To verify our approach, we designed new non-repetitive binding site cassettes and tested their functionality in U2OS mammalian cells. We found that all our cassettes exhibited multiple trackable puncta. Additionally, we designed and verified two additional cassettes, the first containing sites that can bind both PCP and QCP, and the second with sites that can bind either MCP or QCP, allowing for an additional orthogonal channel. Consequently, we provide the scientific community with a novel resource for rapidly creating functional non-repetitive binding site cassettes using one or more of three phage coat proteins with a variety of binding affinities for any application spanning bacteria to mammalian cells.

synthetic biology↗

Detecting Direct Oral Anticoagulants in Trauma Patients using Liquid Chromatography-Mass Spectrometry: a Novel Approach to Medication Reconciliation

BackgroundAccurate medication reconciliation in trauma patients is essential but difficult. Currently there is no established clinical method of detecting direct oral anticoagulants (DOACs) in trauma patients. We hypothesized that a liquid chromatography-mass spectrometry (LCMS) based assay can be used to accurately detect DOACs in trauma patients upon hospital arrival.\n\nMethodsPlasma samples were collected from 356 patients who provided informed consent including-10 healthy controls, 19 known positive or negative controls and 327 trauma patients over 65 years of age who were evaluated at our large, urban Level 1 Trauma Center. The assay methodology was developed in healthy and known controls to detect apixaban, rivaroxaban and dabigatran using LCMS and then applied to 327 samples from trauma patients. Standard medication reconciliation processes in the electronic medical record documenting DOAC usage was compared with LCMS results to determine overall accuracy, sensitivity, specificity and positive and negative predictive values (PPV, NPV) of the assay.\n\nResultsOf 356 patients, 39 were on DOACs (10.96%): 21 were on Apixaban, 14 on rivaroxaban and 4 on dabigatran. The overall accuracy of the assay for detecting any DOAC was 98.60%, with a sensitivity of 94.87% and specificity of 99.06%, (PPV 92.50% and NPV 99.37%). The assay detected apixaban with a sensitivity of 90.48% and specificity of 99.11% (PPV 86.36% and NPV 99.40%). There were three false positive results and two false negative LCMS results for apixaban. Dabigatran and rivaroxaban were detected with 100% sensitivity and specificity.\n\nConclusionsThis LCMS-based assay was highly accurate in detecting DOACs in trauma patients. Further studies need to confirm the clinical efficacy of this LCMS assay and its value for medication reconciliation in trauma patients.\n\nStudy type: diagnostic test\n\nBasic Science paper: therefore does not require a level of evidence.

pharmacology and toxicology↗

Synthetic protein-sensing riboswitches

We study translational regulation by a 5 UTR sequence encoding the binding site of an RNA-binding protein (RBP) in bacteria, using a reporter assay and Selective 2-hydroxyl acylation analysed by primer extension sequencing (SHAPE-Seq). We tested constructs containing a single hairpin, based on the binding sites of the coat RBPs of bacteriophages GA, MS2, PP7, and Q{beta}, positioned in the 5 UTR of a reporter gene. With specifically-bound RBP present, either weak repression or up-regulation is observed, depending on the binding site and its flanking sequence. SHAPE-Seq data for a representative construct exhibiting up-regulation, indicates a partially-folded hairpin and non-reactive upstream and downstream flanking region, which we attribute to intermediate structures that apparently blocks translation. RBP binding stabilizes the fully-folded hairpin state and thus facilitates translation, suggesting that the up-regulating constructs are RBP-sensing riboswitches. This finding is further supported by lengthening the binding-site stem, which in turn destabilizes the translationally-inactive state, and abolishes the up-regulating behavior. Finally, we found that the combination of two binding sites, positioned in the 5 UTR and gene-header of the same transcript, can yield a cooperative regulatory response. Together, we show that the interaction of an RBP with its RNA target facilitates structural changes in the RNA, which is reflected by a controllable range of binding affinities and dose response behaviors. Thus, demonstrating that RNA-RBP interactions can provide a platform for constructing gene regulatory networks that are based on translational, rather than transcriptional, regulation.

synthetic biology↗

An in vivo binding assay for RNA-binding proteins based on repression of a reporter gene

We employ a reporter assay and Selective 2'-hydroxyl acylation analysed by primer extension sequencing (SHAPE-seq) to study translational regulation by RNA-binding proteins, in bacteria. We designed 82 constructs, each with a single hairpin based on the binding sites of the RNA-binding coat proteins of phages MS2, PP7, GA, and Q{beta}, at various positions within the N-terminus of a reporter gene. In the absence of RNA-binding proteins, the translation level depends on hairpin location, and exhibits a three-nucleotide periodicity. For hairpin positions within the initiation region, we observe strong translational repression in the presence of its cognate RNA-binding protein. In vivo SHAPE-seq results for a representative construct indicate that the repression phenomenon correlates with a wide-swath of protection, including the hairpin and extending past the ribosome binding site. Consequently, our data suggest that the protection provided by the RBP-hairpin complex inhibits ribosomal initiation. Finally, utilizing the repression phenomenon for quantifying protein-RNA binding affinity in vivo, we both observe partially contrasting results to previous in vitro and in situ studies, and additionally, show that this method can be used in a high-throughput assay for a quantitative study of protein-RNA binding in vivo.

synthetic biology↗

Short CT-rich motifs can trigger context-specific silencing of gene expression in bacteria

We use an oligonucleotide library of over 10000 variants together with a synthetic biology approach to identify an insulation mechanism encoded within a subset of {sigma}54 promoters. Insulation manifests itself as dramatically reduced protein expression for a downstream gene that may be expressed by transcriptional read-through. The insulation we observe is strongly associated with the presence of short CT-rich motifs (3-5 bp), positioned within 25 bp upstream of the Shine-Dalgarno (SD) motif of the silenced gene. We hypothesize that insulation is effected by binding of the RBS to the upstream CT-rich motif. We provide evidence to support this hypothesis using mutations to the CT-rich motif and gene expression measurements on multiple sequence variants. Modelling is also consistent with this hypothesis. We show that the strength of the silencing, effected by insulation, depends on the location and number of CT-rich motifs encoded within the promoters. Finally, we show that in E.coli these insulator sequences are preferentially encoded within {sigma}54 promoters as compared to other promoter types, suggesting a regulatory role for these sequences in natural contexts. Our findings suggest that context-related regulatory effects may often be due to sequence-specific interactions encoded sparsely by short motifs that are not easily detected by lower throughput studies. Such short sequence-specific phenomena can be uncovered with a focused OL design that filters out the sequence noise, as exemplified herein.

systems biology↗

A looping-based model for quenching repression

We model the regulatory role of proteins bound to looped DNA using a simulation in which dsDNA is represented as a self-avoiding chain, and proteins as spherical protrusions. We simu-late long self-avoiding chains using a sequential importance sampling Monte-Carlo algorithm, and compute the probabilities for chain looping with and without a protrusion. We find that a protrusion near one of the chains termini reduces the probability of looping, even for chains much longer than the protrusion-chain-terminus distance. This effect increases with protrusion size, and decreases with protrusion-terminus distance. The reduced probability of looping can be explained via an eclipse-like model, which provides a novel inhibitory mechanism. We test the eclipse model on two possible transcription-factor occupancy states of the eve 3/7 enhancer, and show that it provides a possible explanation for the experimentally-observed eve stripe 3 and 7 expression patterns.\n\nThe authors declare no conflict of interests

biophysics↗