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Biology subjects

Stanton, R.

Publications and source records attributed to Stanton, R..

10 recordsLinked to original sources

A Novel Method for Normalizing Data from DNA-Encoded Library Selections

DNA-encoded library screening represents a significant advancement in the field of drug discovery. Its ability to rapidly and cost-effectively identify potential drug candidates from large compound libraries has the potential to revolutionize the way new medicines are discovered and developed. While the strategies for DEL screening and data analysis have improved over the years, data normalization remains an open challenge. Existing normalization methods can yield poor correlation for compounds with high read count, and they do not account for inherent sources of noise. To overcome these drawbacks, we have developed a robust normalization technique using an antibody fragment and a DNA-conjugated peptide as an internal control. This innovative approach allows for normalization between samples of different conditions and accounts for technical challenges that occur during screening. Table of Contents Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/700605v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@1b04b91org.highwire.dtl.DTLVardef@1312295org.highwire.dtl.DTLVardef@d59713org.highwire.dtl.DTLVardef@b1786a_HPS_FORMAT_FIGEXP M_FIG C_FIG SynopsisNormalization of DNA-encoded library selection data reduces bias and noise, enabling accurate identification of true binders and reliable enrichment analysis.

biochemistry↗

Investigation of TRMT61B methyltransferase activity on mRNA and its effects on translation

Despite recent advances in technology to map RNA chemical modifications transcriptome-wide, the distribution of N{superscript 1}-methyladenosine (m{superscript 1}A) in mRNA remains contested, hindering a clear understanding of its function. Additionally, the enzyme(s) that installs the majority of reported mRNA m1A sites has yet to be identified. In this study, we characterized TRMT61B, an m1A methyltransferase known to methylate mitochondrial RNAs, but whose sequence preferences have been underexplored. By integrating cellular overexpression of TRMT61B and in vitro methylation of a synthetic pool of diverse human RNA sequences, we identified a preference for a YMRA consensus motif in single stranded RNA regions. In these experiments, TRMT61B methylated thousands of novel human mRNA sites, revealing activity on cytosolic mRNAs. We used these novel m1A-modifiable sequences to test the effects of m1A on translation of luciferase reporters and on ribosome recruitment to modified transcripts in the pool. We found that m1A addition can significantly affect translation and ribosome recruitment, but that these effects are vary by transcript. Taken together, our results can inform future studies of TRMT61B and mRNA, and emphasize that studies of m1A regulation of mRNA must be carried out and interpreted in a highly context-aware manner.

biochemistry↗

The coronavirus envelope is conserved, contains bioactive lipids needed for replication, and is modulated in response to host inflammation

How inflammation or disease regulates coronavirus lipid membranes is currently unknown, while patient-derived viral envelopes have never been structurally characterized. Here, we show that four cultured SARS-CoV-2 strains (England2, Alpha, Beta, and Delta) possess conserved, phospholipid- and cholesterol-rich envelopes, with pro-thrombotic and infection-promoting aminophospholipids (aPL) displayed predominantly on the outer leaflet (approximately 70-80%). Exposure to interleukin-4 (IL-4) markedly altered envelope fatty acyl composition, whereas interleukin-6 (with or without its soluble receptor IL-6R) and dexamethasone had no detectable effect. Viral envelopes were susceptible to hydrolysis by secretory phospholipase A2 (sPLA2), an enzyme associated with adverse clinical outcomes. SARS-CoV-2 isolated directly from patient saliva exhibited cholesterol-enriched envelopes that were highly conserved across clinical isolates. In addition, clinical samples contained pro-coagulant oxidized phospholipids and bioactive lipoxygenase (LOX)-derived oxylipins. The dominance of external facing pro-coagulant aPL and eoxPL may support known thrombotic complications of severe COVID19 viremia. Last, gene-silencing experiments demonstrated that 15-LOX2 is required for replication of related coronaviruses. Together, these findings reposition the coronavirus envelope as an active, dynamic structure rather than a passive scaffold, and challenge the protein-centric view of viral function. The lipid envelope is proposed as a potential therapeutic target through modulation of host innate immunity, and dampening thrombotic potential. Significance statementViruses such as SARS-CoV-2 are surrounded by a host-derived lipid envelope. Little is known about how this changes during infection/inflammation. We determined the lipid composition of the SARS-CoV-2 envelope using both laboratory-grown viruses and patient isolates. Across several pandemic strains, the envelope was rich in cholesterol and phospholipids and showed a consistent structure. Lipids linked to thrombosis and infection were mainly exposed on the outer virus surface. The inflammatory cytokine interleukin-4 altered the envelopes fatty acid composition, while other treatments did not. Patient-derived viruses contained additional bioactive lipids, and blocking an enzyme that generates these lipids reduced coronavirus replication. In summary, the envelope is an active component of infection and potential target for new treatments to dampen infectivity and thrombosis.

immunology↗

Selective decoupling of IgG1 binding to viral Fc receptorsrestores antibody-mediated NK cell activation against HCMV-infected cells

A key mechanism of antiviral antibodies is to bind cell-surface viral antigens and activate cellular immunity to clear infected cells, yet antibodies targeting human cytomegalovirus (HCMV) have exhibited limited efficacy. This appears due to HCMVs multiple immune evasion mechanisms, including viral receptors (vFc{gamma}Rs) which bind human IgG Fc domains to co-operatively inhibit Fc activation of host Fc{gamma} receptors and impair Fc-mediated effector functions. We biochemically characterized and evaluated the functions of two highly conserved vFc{gamma}Rs, gp34 and gp68, and mapped their binding epitopes on the Fc domain. Based on this information, we then engineered Fc variants that retain binding to CD16A, which is essential for NK activation, and to FcRn but have markedly attenuated binding to gp34 and gp68. IgG1 antibodies targeting the gB fusogen with engineered Fc domains were not internalized by infected cells, mediated enhanced CD16A activation and limited viral spread in HCMV-infected fibroblasts more effectively than wild-type Fc. Together, this work demonstrates a strategy to enhance the efficacy of antibody therapies to clear HCMV infections. HighlightsO_LIHost and HCMV FcR compete for IgG1 binding but engage different residues. C_LIO_LIFc-engineering abrogates viral FcR antagonism while retaining CD16A activation. C_LIO_LIAntibodies that resist vFcR capture promote superior ADCC against infected cells. C_LIO_LIDesigner Fc domains complement Fabs to create enhanced disease-specific therapies. C_LI

immunology↗

Hybrid immunity elicits potent cross-variant ADCC against SARS-CoV-2 through a combination of anti-S1 and S2 antibodies

Antibodies capable of neutralising SARS-CoV-2 have been well studied, but the Fc receptor-dependent antibody activities that also significantly impact the course of infection have not been studied in such depth. SARS-CoV-2 infection induces antibody-dependent NK cell responses targeting multiple antigens, however, as most vaccines induce only anti-spike antibodies, we investigated spike-specific antibody-dependent cellular cytotoxicity (ADCC). Vaccination produced antibodies that only weakly induced ADCC, however, antibodies from individuals who were infected prior to vaccination ( hybrid immunity) elicited much stronger anti-spike ADCC. Quantitative and qualitative aspects of humoral immunity contributed to this capability, with infection skewing IgG antibody production towards S2, vaccination skewing towards S1 and hybrid immunity evoking strong responses against both domains. The capacity for hybrid immunity to provide superior spike-directed ADCC was associated with selectively increased antibody responses against epitopes within both S1 and S2. Antibodies targeting both spike domains were important for strong antibody-dependent NK cell activation, with three regions of antibody reactivity outside the receptor-binding domain (RBD) corresponding with potent anti-spike ADCC. Consequently, ADCC induced by hybrid immunity with ancestral antigen was conserved against variants containing neutralisation escape mutations in the RBD [Delta and Omicron (BA.1)]. Induction of antibodies recognizing a broad range of spike epitopes and eliciting strong and durable ADCC may partially explain why hybrid immunity provides superior protection against infection and disease than vaccination alone, and demonstrates that spike-only subunit vaccines would benefit from strategies to induce a combination of S1- and S2-specific antibody responses. SignificanceNeutralising antibodies prevent the entry of cell-free virus, however, antibodies that promote Fc-dependent activities such as ADCC are critical to control cell-associated virus. Although current SARS-CoV-2 vaccines induce potent neutralising antibodies, they fail to induce robust ADCC. Our demonstration that hybrid immunity induces superior ADCC with pan-variant activity may partially explain why hybrid immunity offers enhanced protection against reinfection. It also highlights that vaccine strategies based on expression of the spike subunit alone should not focus solely on inducing antibody responses targeting the receptor binding domain.

immunology↗

Deep Representation Learning Determines Drug Mechanism of Action from Cell Painting Images

Fluorescent-based microscopy screens carry a broad range of phenotypic information about how compounds affect cellular biology. From changes in cellular morphology observed in these screens, one key area of medicinal interest is determining a compounds mechanism of action. However, much of this phenotypic information is subtle and difficult to quantify. Hence, creating quantitative embeddings that can measure cellular response to compound perturbation has been a key area of research. Here we present a deep learning enabled encoder called MOAProfiler that captures phenotypic features for determining mechanism of action from Cell Painting images. We compared our method with both a traditional computer vision means of feature encoding via CellProfiler and a deep learning encoder called DeepProfiler. The results, on two independent and biologically different datasets, indicated that MOAProfiler encoded MOA-specific features that allowed for more accurate clustering and classification of compounds over hundreds of different MOAs.

bioinformatics↗

TENT2, TUT4, and TUT7 selectively regulate miRNA sequence and abundance

TENTs generate miRNA isoforms by 3 tailing. However, little is known about how tailing regulates miRNA function. Here, we generated isogenic HEK293T cell lines in which TENT2, TUT4 and TUT7 were knocked out individually or in combination. Together with rescue experiments, we characterized TENT-specific effects by deep sequencing, Northern blot and in vitro assays. We found that 3 tailing is not random but highly specific. In addition to its known adenylation, TENT2 contributes to guanylation and uridylation on mature miRNAs. TUT4 uridylates most miRNAs whereas TUT7 is dispensable. Removing adenylation has a marginal impact on miRNA levels. By contrast, abolishing uridylation leads to dysregulation of a set of miRNAs. Besides let-7, miR-181b and miR-222 are negatively regulated by TUT4/7 via distinct mechanisms while the miR-888 cluster is upregulated specifically by TUT7. Our results uncover the selective actions of TENTs in generating 3 isomiRs and pave the way to investigate their functions.

molecular biology↗

Principles of RNA processing from analysis of enhanced CLIP maps for 150 RNA binding proteins.

A critical step in uncovering rules of RNA processing is to study the in vivo regulatory networks of RNA binding proteins (RBPs). Crosslinking and immunoprecipitation (CLIP) methods enabled mapping RBP targets transcriptome-wide, but methodological differences present challenges to large-scale integrated analysis across datasets. The development of enhanced CLIP (eCLIP) enabled the large-scale mapping of targets for 150 RBPs in K562 and HepG2, creating a unique resource of RBP interactomes profiled with a standardized methodology in the same cell types. Here we describe our analysis of 223 enhanced (eCLIP) datasets characterizing 150 RBPs in K562 and HepG2 cell lines, revealing a range of binding modalities, including highly resolved positioning around splicing signals and mRNA untranslated regions that associate with distinct RBP functions. Quantification of enrichment for repetitive and abundant multi-copy elements reveals 70% of RBPs have enrichment for non-mRNA element classes, enables identification of novel ribosomal RNA processing factors and sites and suggests that association with retrotransposable elements reflects multiple RBP mechanisms of action. Analysis of spliceosomal RBPs indicates that eCLIP resolves AQR association after intronic lariat formation (enabling identification of branch points with single-nucleotide resolution) and provides genome-wide validation for a branch point-based scanning model for 3 splice site recognition. Further, we show that eCLIP peak co-occurrences across RBPs enables the discovery of novel co-interacting RBPs. Finally, we present a protocol for visualization of RBP:RNA complexes in the eCLIP workflow using biotin and standard chemiluminescent visualization reagents, enabling simplified confirmation of ribonucleoprotein enrichment without radioactivity. This work illustrates the value of integrated analysis across eCLIP profiling of RBPs with widely distinct functions to reveal novel RNA biology. Further, our quantification of both mRNA and other element association will enable further research to identify novel roles of RBPs in regulating RNA processing.

genomics↗

Expression levels of glycoprotein O (gO) vary between strains of human cytomegalovirus, influencing the assembly of gH/gL complexes and virion infectivity.

Tropism of human cytomegalovirus (HCMV) is influenced by the envelope glycoprotein complexes gH/gL/gO and gH/gL/UL128-131. During virion assembly, gO and the UL128-131 proteins compete for binding to gH/gL in the ER. This assembly process clearly differs among strains since Merlin (ME) virions contain abundant gH/gL/UL128-131 and little gH/gL/gO, whereas TR contains much higher levels of total gH/gL, mostly in the form of gH/gL/gO, but much less gH/gL/UL128-131 than ME. Remaining questions include 1) what are the mechanisms behind these assembly differences, and 2) do differences reflect in vitro culture adaptations or natural genetic variations? Since the UL74(gO) ORF differs by 25% of amino acids between TR and ME, we analyzed recombinant viruses in which the UL74(gO) ORF was swapped. TR virions were >40-fold more infectious than ME. Transcriptional repression of UL128-131 enhanced infectivity of ME to the level of TR, despite still far lower levels of gH/gL/gO. Swapping the UL74(gO) ORF had no effect on either TR or ME. A quantitative immunoprecipitation approach revealed that gH/gL expression was within 4-fold between TR and ME, but gO expression was 20-fold less by ME, and suggested differences in mRNA transcription, translation or rapid ER-associated degradation of gO. Trans-complementation of gO expression during ME replication gave 6-fold enhancement of infectivity beyond the 40-fold effect of UL128-131 repression alone. Overall, strain variations in assembly of gH/gL complexes result from differences in expression of gO and UL128-131, and selective advantages for reduced UL128-131 expression during fibroblast propagation are much stronger than for higher gO expression.\n\nIMPORTANCESpecific genetic differences between independently isolated HCMV strains may result from purifying selection on de novo mutations arising during propagation in culture, or random sampling among the diversity of genotypes present in clinical specimens. Results presented indicate that while reduced UL128-131 expression may confer a powerful selective advantage during cell-free propagation of HCMV in fibroblast cultures, selective pressures for increased gO expression are much weaker. Thus, variation in gO expression among independent strains may represent natural genotype variability present in vivo. This may have important implications for virus-host interactions such as immune recognition, and underscores the value of studying molecular mechanisms of replication using multiple HCMV strains.

microbiology↗

A Large-Scale Binding and Functional Map of Human RNA Binding Proteins

Genomes encompass all the information necessary to specify the development and function of an organism. In addition to genes, genomes also contain a myriad of functional elements that control various steps in gene expression. A major class of these elements function only when transcribed into RNA as they serve as the binding sites for RNA binding proteins (RBPs), which act to control post-transcriptional processes including splicing, cleavage and polyadenylation, RNA editing, RNA localization, stability, and translation. Despite the importance of these functional RNA elements encoded in the genome, they have been much less studied than genes and DNA elements. Here, we describe the mapping and characterization of RNA elements recognized by a large collection of human RBPs in K562 and HepG2 cells. These data expand the catalog of functional elements encoded in the human genome by addition of a large set of elements that function at the RNA level through interaction with RBPs.\n\nHighlightsO_LI223 eCLIP datasets for 150 RBPs reveal a wide variety of in vivo RNA target classes.\nC_LIO_LI472 knockdown/RNA-seq profiles of 263 RBPs reveal factor-responsive targets and integration with eCLIP indicates RNA expression and splicing regulatory patterns.\nC_LIO_LI78 RNA Bind-N-Seq profiles of in vitro binding motifs reveal links between in vitro and in vivo binding and indicate that eCLIP peaks that contain in vitro motifs are more strongly associated with regulation.\nC_LIO_LI274 maps of RBP subcellular localization by immunofluorescence indicate widespread organelle-specific RNA processing regulation.\nC_LIO_LI63 ChIP-seq profiles of DNA association suggest broad interconnectivity between chromatin association and RNA processing.\nC_LI

genomics↗