Biology subjects

Incarnato, D.

Publications and source records attributed to Incarnato, D..

16 recordsLinked to original sources

bioRxiv2026

RNA 3D Motif Dynamics Guide Assembly of the Replication Initiation Complex in Flaviviruses

Viral RNA genomes contain structured elements that recruit the machinery necessary for their replication. However, these mechanisms remain poorly understood because of RNA structures dynamic nature. Using cryo-EM and single-molecule Forster resonance energy transfer, we show that the flaviviral stem-loop A (SLA)--which recruits the viral polymerase NS5 to initiate negative-strand synthesis--populates a conserved, multi-state conformational ensemble governed by a dynamic three-dimensional (3D) motif. Structures of Zika and dengue SLA-NS5 complexes reveal that NS5 engages a preorganized SLA conformation. Notably, destabilizing this conformation impairs negative-strand synthesis without affecting NS5 binding. Thus, the conserved SLA 3D ensemble guides a post-binding conformational search that converts an initial encounter complex into a productive replication-initiation complex--revealing how RNA conformational ensembles, rather than static structures, dictate function. SUMMARYViral genomes encode dynamic RNA structures that are specifically recognized by proteins to regulate critical steps of the viral life cycle. Although these RNAs exist as multi-state conformational ensembles, structural studies have largely captured single conformations, limiting our mechanistic understanding of RNA-protein recognition and function. Here, using single-particle cryo-electron microscopy (cryo-EM), single-molecule Forster resonance energy transfer, and biochemical assays, we show how flaviviral genomes use structural dynamics encoded in their stem-loop A (SLA) to guide a conserved, multi-step mechanism of negative-strand synthesis initiation by non-structural protein 5 (NS5). Cryo-EM ensembles of SLAs from dengue, Zika, West Nile, and yellow fever viruses reveal a conserved conformational landscape dictated by alternative stacking configurations of a central three-way junction (3WJ). Cryo-EM structures of SLA-NS5 complexes from dengue and Zika show that NS5 engages a specific state within SLA 3D ensemble, one in which the 3WJ adopts a GRR/A tetraloop-like motif that we identify across diverse structural RNAs. Strikingly, mutations that substantially destabilize this state impair negative-strand synthesis without affecting NS5 binding--decoupling binding from function and ruling out a simple conformational-capture mechanism. Instead, the SLAs intrinsic structural dynamics direct a post-binding conformational search that converts an initial, conformationally heterogeneous encounter complex into a productive replication-initiation complex. These results demonstrate a mechanism of RNA-protein recognition in which the 3D conformational ensemble of an RNA guides formation of the functional state downstream of binding, and identify a ubiquitous, intrinsically dynamic 3D motif within the SLAs 3WJ as a critical determinant of flavivirus negative-strand synthesis.

biochemistry↗

bioRxiv2026

SOLiD-MaP: A Photoproximity Labeling Platform for Small Molecule Binding Site Mapping on RNA

RNA-targeting small molecules are emerging as promising therapeutic modalities, but their development requires methods that define binding sites and evaluate RNA target selectivity. Existing approaches for detecting ligand-RNA interactions have provided powerful foundations, yet many rely on direct crosslinking or covalent-capture chemistries whose performance depends on ligand-specific probe design, warhead compatibility, and local reaction geometry. Here, we report Singlet Oxygen footprinting on RNA in a Ligand-Directed manner for Mutational Profiling (SOLiD-MaP), a photoproximity labelling platform for small molecule-RNA interaction analysis. Using the Mango-II aptamer and thiazole orange derivatives as a model system, we establish aniline as an efficient nucleophile for singlet oxygen-mediated RNA labelling and demonstrate target-selective labelling driven by ligand-localized photosensitization. We further show that labelling selectivity can be tuned by chemically constraining the singlet oxygen diffusion with a quencher. Finally, we develop a pairwise reverse transcription stop assay and a mutational profiling with next-generation sequencing readouts to infer ligand-proximal regions and unambiguously map binding sites. SOLiD-MaP provides a new, orthogonal strategy for studying small molecule-RNA recognition and should support RNA-focused mechanism-of-action studies.

biochemistry↗

bioRxiv2025

4-Hydroxynonenal suppresses IL-10 production during infection

Sepsis is a syndrome of life-threatening multiple organ failure induced by infection and hallmarked by the increased production of inflammatory cytokines and reactive oxygen species (ROS). The oxidation of lipids by ROS produces 4-hydroxynonenal (4-HNE), a highly reactive aldehyde that forms adducts with proteins and thereby impacts immune signaling. In this study, using blood samples from patients with sepsis at the emergency department, collected by the Acutelines data- and biobank, we show that 4-HNE selectively suppresses the production of the anti-inflammatory cytokine interleukin (IL)-10, while pro-inflammatory IL-6 and tumor necrosis factor (TNF)- are unaffected. Mechanistically, 4-HNE causes a pronounced transcriptional reorganization, leading to metabolic reprogramming and activation of HIF-1 signaling. In turn, this suppresses IL-10 production through inhibition of nuclear factor kappa-light-chain-enhancer of activated B-cells (NF-{kappa}B) signaling, whereas IL-6 and TNF- are unaffected due to increased activation of p38 mitogen-activated protein kinase (MAPK) signaling. This suppression likely occurs in sepsis, because, whereas overall 4-HNE protein adduct levels are increased in blood samples of sepsis patients, they are decreased in monocytes and T cells and negatively correlate with IL-10 levels. Thus, our data show that 4-HNE selectively suppresses IL-10 production in sepsis. This is likely relevant to the clinical outcome of sepsis patients because IL-10 levels correlate with mortality. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=56 SRC="FIGDIR/small/690094v1_ufig1.gif" ALT="Figure 1"> View larger version (11K): org.highwire.dtl.DTLVardef@107d50dorg.highwire.dtl.DTLVardef@1344e23org.highwire.dtl.DTLVardef@f5f40borg.highwire.dtl.DTLVardef@16907e6_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2025

4-HNE reduces phagocytosis through the expression of Synaptotagmin 1 in human monocyte-derived macrophages

Reactive oxygen species (ROS) react with polyunsaturated fatty acids (PUFA) and generate the reactive aldehyde 4-hydroxynonenal (4-HNE). 4-HNE is a potent modulator of cell signaling, proliferation, and death. Our transcriptomics analysis revealed that upon treatment of human monocyte-derived macrophages with 4-HNE synaptotagmin-1 (SYT1), the main calcium sensor for neurotransmitter release, became the most strongly upregulated protein. This is surprising, as SYT1 expression is normally restricted to neurons and neuroendocrine cells. Using overexpression of SYT1 fused to a fluorescent reporter protein, we found SYT1 predominantly locates at the plasma membrane in macrophages. Based on this finding, and on the reported roles of other SYT forms in macrophages and other immune phagocytes, we tested the role of SYT1 in phagocytosis. Functional assays showed that SYT1 inhibited phagocytosis of pathogenic bacteria. Thus, our findings reveal an unexpected role of SYT1 in immune cells.

molecular biology↗

bioRxiv2025

Butyrate blocks specific histone acetylation by preventing recruitment of p300 to acetylated histones

Butyrate, a short-chain fatty acid (SCFA) produced by microbial fermentation of dietary fiber, exerts beneficial metabolic and immunomodulatory functions through hyperactivation of the histone acetylase (HAT) p300 and inhibition of histone deacetylases (HDAC). These effects are widely believed to result in the acetylation of distinct histones that regulate specific genes, including at transcription starting sites (TSS) and enhancers. However, we show that this is not the case, as butyrate dose-dependently increases the acetylation of histones throughout the entire genome. Molecular dynamics simulations suggest that the RING-loop prevents the recruitment of p300 to acetylated histones through its bromodomain, and thereby cannot maintain the acetylation of specific histones through positive feedback. This was confirmed by showing that only catalytically inactive p300 stably binds to acetylated histones. Thus, the epigenetic regulation of specific genes by butyrate is limited, but butyrate instead increases histone acetylation globally resulting in opening of the entire chromatin structure.

molecular biology↗

bioRxiv2025

Unveiling the Molecular Architecture of Candida auris Ribosome

Candida auris is an emerging multidrug-resistant fungal pathogen causing life-threatening invasive candidiasis and bloodstream infections (candidemia), posing significant global health challenges. Despite its importance, the protein translation in pathogenic fungi is poorly characterized. Using cryo-electron microscopy and single-particle reconstruction, we resolved high-resolution structures of the 80S ribosome from C. auris in its vacant state and in complexes with three inhibitors: cycloheximide (CHX), blasticidin-S (BLS), and geneticin (G418). We uncovered a unique substitution of a key nucleotide in the P-site of the small ribosomal subunit (C1160 in C. auris), which may influence ribosome-tRNA interactions and translation fidelity. Comparative analysis of ribosome inhibitor interactions showed that resistance to CHX was observed in only two Candida species examined, while BLS binding displayed no significant differences between C. auris and S. cerevisiae, although C. auris was more sensitive to it. We identified that G418 exhibits promiscuous binding across multiple nonspecific sites, yet its primary interaction site at the decoding center remains highly conserved among Candida species. These findings provide a previously uncharacterized structure of the C. auris ribosome, highlighting novel features that may be leveraged for the development of targeted antifungal therapies to combat multidrug resistance. These insights not only enhance our understanding of ribosomal inhibitor interactions but also suggest potential biomarkers for predicting antifungal susceptibility in clinical applications.

molecular biology↗

bioRxiv2025

Condition-dependent, amorphous protein agglomerates control cytoplasmic rheology

Molecular crowding in the bacterial cytoplasm restricts the diffusion of large molecules, impacting cellular processes. However, how nutrient availability influences cytoplasmic rheology is not well understood. With single-particle tracking in Escherichia coli, we observed a threefold variation in the diffusion of a 40-nm particle across exponential growth conditions. Previously suggested determinants of rheology did not account for this variation; instead, we found a strong anticorrelation between the diffusion coefficient and the abundance of amino acid metabolism proteins, persisting upon genetic perturbations and showing that lower diffusion is associated with increased viscoelasticity. Photoactivated light microscopy revealed that some amino acid metabolism proteins form clusters. Electron microscopy showed that these proteins could form amorphous agglomerates at physiological concentrations in vitro, likely driven by their low intrinsic disorder, high compactness and hydropathy score. These findings show that protein agglomerates regulate cytoplasmic rheology in a condition-dependent manner, suggesting an underappreciated level of cytoplasmic organization. HighlightsO_LIDiffusion of 40-nm particles varies threefold across growth conditions in E. coli C_LIO_LICytoplasmic diffusion inversely correlates with COG-E protein abundance COG-E proteins form agglomerates that increase cytoplasmic viscoelasticity C_LIO_LIProtein compactness and hydrophobicity predict condition-dependent crowding effects C_LI

biophysics↗

bioRxiv2025

Long-read transcriptome-wide RNA structure maps using DMS-FIRST-seq

RNA modifications induce reverse transcription (RT) errors in an enzyme- and context-dependent manner, enabling transcriptome-wide mapping and RNA structure probing. We present FIRST-seq, a flexible, cost-effective nanopore cDNA method that avoids second-strand synthesis and PCR, making it compatible with any RT enzyme and enabling single-nucleotide resolution RT signature analysis. Benchmarking multiple RT enzymes and buffers identified conditions that reduce premature termination and enhance error detection. Coupled with DMS probing, FIRST-seq accurately detects m1A and m3C at unpaired sites, recapitulating known RNA structures in vitro and in vivo. FIRST-seq offers a versatile platform for profiling chemical-induced and natural RNA modifications using long-read sequencing.

molecular biology↗

bioRxiv2024

RNA secondary structure ensemble mapping in a living cell identifies conserved RNA regulatory switches and thermometers

RNA molecules can populate ensembles of alternative structural conformations, but comprehensively mapping RNA conformational landscapes within living cells presents significant challenges and has, as such, so far remained elusive. Here, we generated the first transcriptome-scale maps of RNA secondary structure ensembles in a living cell, using Escherichia coli as a model. Our analysis uncovered features of structurally-dynamic regions, as well as the existence of hundreds of highly-conserved bacterial RNA structural elements. Conditional structure mapping revealed extensive restructuring of RNA ensembles during cold shock, leading to the discovery of several novel RNA thermometers in the 5' UTRs of the cspG, cspI, cpxP and lpxP mRNAs. We mechanistically characterized how these thermometers switch structure in response to cold shock and revealed the cspE chaperone-mediated regulation of lpxP. Collectively, this work reveals a previously unappreciated complexity of RNA structural dynamics in living cells, and it provides a key resource to significantly accelerate the discovery of regulatory RNA switches.

molecular biology↗

bioRxiv2024

Nucleotide dependency analysis of DNA language models reveals genomic functional elements

Deciphering how nucleotides in genomes encode regulatory instructions and molecular machines is a long-standing goal in biology. DNA language models (LMs) implicitly capture functional elements and their organization from genomic sequences alone by modeling probabilities of each nucleotide given its sequence context. However, using DNA LMs for discovering functional genomic elements has been challenging due to the lack of interpretable methods. Here, we introduce nucleotide dependencies which quantify how nucleotide substitutions at one genomic position affect the probabilities of nucleotides at other positions. We generated genome-wide maps of pairwise nucleotide dependencies within kilobase ranges for animal, fungal, and bacterial species. We show that nucleotide dependencies indicate deleteriousness of human genetic variants more effectively than sequence alignment and DNA LM reconstruction. Regulatory elements appear as dense blocks in dependency maps, enabling the systematic identification of transcription factor binding sites as accurately as models trained on experimental binding data. Nucleotide dependencies also highlight bases in contact within RNA structures, including pseudoknots and tertiary structure contacts, with remarkable accuracy. This led to the discovery of four novel, experimentally validated RNA structures in Escherichia coli. Finally, using dependency maps, we reveal critical limitations of several DNA LM architectures and training sequence selection strategies by benchmarking and visual diagnosis. Altogether, nucleotide dependency analysis opens a new avenue for discovering and studying functional elements and their interactions in genomes.

genomics↗

bioRxiv2024

Physicochemical Principles Driving Small Molecule Binding to RNA

The possibility of using RNA-targeting small molecules to treat diseases is gaining traction as the next frontier of drug discovery and development. The chemical characteristics of small molecules that bind to RNA are still relatively poorly understood, particularly in comparison to protein-targeting small molecules. To fill this gap, we have generated an unprecedented amount of RNA-small molecule binding data, and used it to derive physicochemical rules of thumb that could be used to define areas of chemical space enriched for RNA binders - the Small molecules Targeting RNA (STaR) rules of thumb. These rules have been applied to publicly available RNA-small molecule datasets and found to be largely generalizable. Furthermore, a number of patented RNA-targeting compounds and FDA-approved compounds also pass these rules, as well as key RNA binding approved drug case studies including Risdiplam. We anticipate this work will significantly accelerate the exploration of the RNA-targeted chemical space, towards unlocking RNAs potential as a small molecule drug target. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=130 HEIGHT=200 SRC="FIGDIR/small/578268v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@15ced07org.highwire.dtl.DTLVardef@1cd891eorg.highwire.dtl.DTLVardef@e51599org.highwire.dtl.DTLVardef@1ecfa86_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2022

Investigating the NRAS 5' UTR as a Target for Small Molecules

Neuroblastoma RAS (NRAS) is an oncogene that is deregulated and highly mutated in cancers including melanomas and acute myeloid leukemias. Constitutively activated NRAS induces the MAPK and AKT signaling pathways and leads to uncontrolled proliferation and cell growth, making it an attractive target for small molecule inhibition. Like all RAS-family proteins, it has proven difficult to identify small molecules that directly inhibit the protein. An alternative approach would involve targeting the NRAS mRNA. The 5' untranslated region (5' UTR) of the NRAS mRNA is reported to contain a G-quadruplex (G4) that regulates translation of NRAS mRNA. Stabilizing the G4 structure with small molecules could reduce NRAS protein expression in cancer cells by impacting translation. Here we report a novel class of small molecule that binds to the G4 structure located in the 5' UTR of the NRAS mRNA. We used a small molecule microarray (SMM) screen to identify molecules that selectively bind to the NRAS-G4. Biophysical studies demonstrated that compound 18 binds reversibly to the NRAS-G4 structure with submicromolar affinity. A Luciferase based reporter assay indicated that 18 inhibits the translation of NRAS via stabilizing the NRAS-G4 in vitro but showed only moderate effects on the NRAS levels in cellulo. Rapid Amplification of cDNA Ends (RACE), RT-PCR analysis on 14 different NRAS-expressing cell lines, coupled with analysis of publicly available CAGE seq experiments, revealed that predominant NRAS transcript does not possess the G4 structure. Further analysis of published rG4 and G4 sequencing data indicated the presence of G4 structure in the promoter region of NRAS gene (DNA) but not in the mRNA. Thus, although many NRAS transcripts lack a G4 in many cell lines the broader concept of targeting folded regions within 5 UTRs to control translation remains a highly attractive strategy and this work represents an intriguing example of transcript heterogeneity impacting targetability.

biochemistry↗

bioRxiv2020

A synthetic RNA-based biosensor for fructose-1,6-bisphosphate that reports glycolytic flux

Metabolic heterogeneity, the occurrence of different metabolic phenotypes among cells, represents a key challenge in health and biotechnology. To unravel its molecular basis, tools probing metabolism of single cells are needed. While RNA devices harbor huge potential for the development of such tools, until today, it is challenging to create in vivo-functional sensors for any given metabolite. Here, we developed from scratch an RNA-based sensor for fructose-1,6-bisphosphate (FBP), a doubly phosphorylated intermediate of glycolysis. Starting from in vitro selection of an RNA aptamer and its structural analyses, we developed libraries of RNA-based regulatory devices with this aptamer and the hammerhead ribozyme as an actuator. Through FACS-seq-based high-throughput screening in yeast, we identified in vivo-functional FBP-sensing devices that generate fluorescent readout dependent on intracellular FBP concentration. As FBP reports the flux through glycolysis, the developed RNA device can be used to sense the glycolytic rate in single cells, offering unprecedented possibilities to investigate the causes of metabolic heterogeneity.

synthetic biology↗

bioRxiv2020

A novel SHAPE reagent enables the analysis of RNA structure in living cells with unprecedented accuracy

Due to the mounting evidence that RNA structure plays a critical role in regulating almost any physiological as well as pathological process, being able to accurately define the folding of RNA molecules within living cells has become a crucial need. We introduce here 2-aminopyridine-3-carboxylic acid imidazolide (2A3), as a general probe for the interrogation of RNA structures in vivo. 2A3 shows moderate improvements with respect to the state-of-the-art SHAPE reagent NAI on naked RNA under in vitro conditions, but it significantly outperforms NAI when probing RNA structure in vivo, particularly in bacteria, underlining its increased ability to permeate biological membranes. When used as a restraint to drive RNA structure prediction, data derived by SHAPE-MaP with 2A3 yields more accurate predictions than NAI-derived data. Due to its extreme efficiency and accuracy, we can anticipate that 2A3 will rapidly take over conventional SHAPE reagents for probing RNA structures both in vitro and in vivo.

biochemistry↗

bioRxiv2020

HNRNPM controls circRNA biogenesis and splicing fidelity to sustain prostate cancer cell fitness

Cancer cells are differentially dependent on the splicing machinery compared to normal untransformed cells. The splicing machinery thus represents a potential therapeutic target in cancer. To identify splicing factors important for prostate cancer cell (PCa) cell growth, we performed a parallel pooled shRNA screen on in vitro passaged cells and in vivo xenografted PCa tumor lines. Our screen revealed HNRNPM as a potential regulator of PCa cell growth. RNA- and eCLIP-sequencing data suggest that HNRNPM is bound to transcripts of key homeostatic genes and that loss of HNRNPM binding in a subset of these genes results in aberrant exon inclusion and exon back-splicing events in target transcripts. In both linear and circular mis-spliced transcripts, HNRNPM appears to preferentially bind to GU-rich elements in long flanking proximal introns. Mimicry of HNRNPM dependent linear splicing events using splice-switching antisense oligonucleotides (SSOs) was sufficient to inhibit cell growth in HNRNPM expressing cells. This suggests that prostate cancer cell dependence on HNRNPM is likely a result of mis-splicing of key homeostatic coding and non-coding genes. Taken together, our data reveal a role for HNRNPM in supporting prostate cancer cell fitness, and also as a potential therapeutic target in PCa.

genomics↗

bioRxiv2020

Genome-wide mapping of therapeutically-relevant SARS-CoV-2 RNA structures

SARS-CoV-2 is a betacoronavirus with a linear single-stranded, positive-sense RNA genome of [~]30 kb, whose outbreak caused the still ongoing COVID-19 pandemic. The ability of coronaviruses to rapidly evolve, adapt, and cross species barriers makes the development of effective and durable therapeutic strategies a challenging and urgent need. As for other RNA viruses, genomic RNA structures are expected to play crucial roles in several steps of the coronavirus replication cycle. Despite this, only a handful of functionally conserved structural elements within coronavirus RNA genomes have been identified to date. Here, we performed RNA structure probing by SHAPE-MaP to obtain a single-base resolution secondary structure map of the full SARS-CoV-2 coronavirus genome. The SHAPE-MaP probing data recapitulate the previously described coronavirus RNA elements (5' UTR, ribosomal frameshifting element, and 3' UTR), and reveal new structures. Secondary structure-restrained 3D modeling of highly-structured regions across the SARS-CoV-2 genome allowed for the identification of several putative druggable pockets. Furthermore, [~]8% of the identified structure elements show significant covariation among SARS-CoV-2 and other coronaviruses, hinting at their functionally-conserved role. In addition, we identify a set of persistently single-stranded regions having high sequence conservation, suitable for the development of antisense oligonucleotide therapeutics. Collectively, our work lays the foundation for the development of innovative RNA-targeted therapeutic strategies to fight SARS-related infections.

genetics↗