Biology subjects

Gokhale, N. S.

Publications and source records attributed to Gokhale, N. S..

12 recordsLinked to original sources

bioRxiv2025

Comprehensive Atomic-Scale 3D Viral-Host Protein Interactomes Enable Dissection of Key Mechanisms and Evolutionary Processes Underlying Viral Pathogenesis

Viral-human protein interactions are critical for viral replication and modulation of the host immune response. Structural modeling of these interactions is vital for developing effective antiviral therapies and vaccines. However, 99% of experimentally determined binary host-viral interactions currently lack structural information. We aimed to address this gap by leveraging computational protein structure prediction methods. Using extensive benchmarking, we found AlphaFold to be the most accurate structure prediction model for host-pathogen protein interactions. We then predicted the structures of 11,666 binary protein interactions across 33 viral families and created the most comprehensive atomic-scale 3D viral-host protein interactomes till date (https://3d-viralhuman.yulab.org). By integrating these interactomes with genetic variation data, we identified population-specific signatures of selection on variants coding for interfaces of viral-human interactions. We also found that viral interaction interfaces were less conserved than non-interface regions, a striking trend that is opposite to what is observed for host interfaces, suggesting different evolutionary pressures. Systematic analyses of interface sharing between host and viral proteins binding to the same host protein revealed mutation rate-dependent differences in interface mimicry. Similar mutation rate-dependent differences were seen in the interface sharing between viral proteins binding to a host protein. We also found that the patterns of E6 protein binding to KPNA2 differed between high- and low-risk oncogenic human papillomaviruses (HPVs), and clustering based on these binding patterns allowed the classification of HPVs with unknown oncogenic risk. Our interface mimicry analyses also unveiled a novel mechanism by which herpes simplex virus-1 UL37 suppresses the antiviral immune response through disruption of the TRAF6-MAVS signalosome interaction. Overall, our comprehensive 3D viral interactomes provide a resource at unprecedented scale and resolution that will enable researchers to explore how variation and signatures of selection influence viral interactions and disease progression. This tool also facilitates the identification of conserved and unique interaction patterns across viruses, empowering researchers to generate testable hypotheses and ultimately accelerate the discovery of novel therapeutic targets and intervention strategies.

systems biology↗

bioRxiv2025

CELF2 suppresses endogenous RNA ligands that activate RIG-I-mediated interferon induction

Type I interferons (IFNs) are critical for the control of viral infections, but aberrant IFN expression can result in tissue damage. RIG-I-like receptors (RLRs), such as RIG-I and MDA5, sense viral RNA and signal through the adaptor protein MAVS to induce phosphorylation and nuclear translocation of the transcription factor IRF3, thereby driving IFN production. However, activation of RLRs by endogenous RNA ligands can also induce IFNs, leading to autoinflammation. Identifying factors that suppress endogenous RNA ligands is critical for preventing IFN-induced autoimmunity. In this study, we identify a novel regulator, CELF2, that suppresses endogenous RNAs that otherwise activate the RLR pathway. We uncovered a novel role for the splicing factor CELF2 as a suppressor of immunostimulatory endogenous RNA ligands. Depletion of CELF2 in macrophages led to a spontaneous IFN and IFN-stimulated gene signature, dependent on the RIG-I-MAVS pathway. Furthermore, the transfer of RNA from CELF2-depleted macrophages was sufficient to induce type I IFN expression in naive cells. This RNA was found to be double-stranded as RNase III treatment of RNA derived from CELF2-depleted cells ablated IFN induction in naive cells. Immunoprecipitation of double-stranded RNA from CELF2-depleted macrophages revealed several immunostimulatory RNAs, which contribute to the increased interferon-stimulated gene signature observed in CELF2-depleted macrophages. These data indicate that CELF2 suppresses endogenous RNA ligands, which could otherwise activate RIG-I and induce an IFN signature. Overall, these findings reveal that CELF2 is an important regulator of self-RNA ligands to prevent IFN-induced autoinflammation. One-sentence summaryCELF2 suppresses RIG-I-like receptor ligands that activate interferon.

immunology↗

bioRxiv2023

Cellular RNA interacts with MAVS to promote antiviral signaling

Immune signaling needs to be well-regulated to promote clearance of pathogens, while preventing aberrant inflammation. Interferons (IFNs) and antiviral genes are activated by the detection of viral RNA by RIG-I-like receptors (RLRs). Signal transduction downstream of RLRs proceeds through a multi-protein complex organized around the central adaptor protein MAVS. Recent work has shown that protein complex function can be modulated by RNA molecules providing allosteric regulation or acting as molecular guides or scaffolds. Thus, we hypothesized that RNA plays a role in organizing MAVS signaling platforms. Here, we show that MAVS, through its central intrinsically disordered domain, directly interacts with the 3' untranslated regions of cellular mRNAs. Importantly, elimination of RNA by RNase treatment disrupts the MAVS signalosome, including newly identified regulators of RLR signaling, and inhibits phosphorylation of the transcription factor IRF3. This supports the hypothesis that RNA molecules scaffold proteins in the MAVS signalosome to induce IFNs. Together, this work uncovers a function for cellular RNA in promoting signaling through MAVS and highlights a generalizable principle of RNA regulatory control of cytoplasmic immune signaling complexes.

immunology↗

bioRxiv2022

Structure-first identification of conserved RNA elements that regulate dengue virus genome architecture and replication.

The genomes of RNA viruses encode the information required for replication in host cells in both their linear sequence and in complex higher-order structures. A subset of these complex functional RNA genome structures show clear sequence conservation. However, the extent to which viral RNA genomes contain conserved structural elements - that cannot be detected by sequence alone - that nonetheless are critical to viral fitness is largely unknown. Here, we take a structure-first approach to identify motifs conserved across the coding sequences of the RNA genomes for the four dengue virus (DENV) serotypes. We used SHAPE-MaP to identify 22 candidate motifs with conserved RNA structures, but no prior association with viral replication. At least ten of these motifs are important for viral fitness, revealing a significant unnoticed extent of RNA structure-mediated regulation within viral coding sequences. These conserved viral RNA structures promote a compact global genome architecture, interact with proteins, and regulate the viral replication cycle. These motifs are constrained at the levels of both RNA structure and protein sequence and are potential resistance-refractory targets for antivirals and live-attenuated vaccines. Structure-first identification of conserved RNA structure is poised to guide efficient discovery of RNA-mediated regulation in viral genomes and other cellular RNAs.

biochemistry↗

bioRxiv2022

Host specific sensing of coronaviruses and picornaviruses by the CARD8 inflammasome

Hosts have evolved diverse strategies to respond to microbial infections, including the detection of pathogen-encoded proteases by inflammasome-forming sensors such as NLRP1 and CARD8. Here, we find that the 3CL protease (3CLpro) encoded by diverse coronaviruses, including SARS-CoV-2, cleaves a rapidly evolving region of human CARD8 and activates a robust inflammasome response. CARD8 is required for cell death and the release of pro-inflammatory cytokines during SARS-CoV-2 infection. We further find that natural variation alters CARD8 sensing of 3CLpro, including 3CLpro-mediated antagonism rather than activation of megabat CARD8. Likewise, we find that a single nucleotide polymorphism (SNP) in humans reduces CARD8s ability to sense coronavirus 3CLpros, and instead enables sensing of 3C proteases (3Cpro) from select picornaviruses. Our findings demonstrate that CARD8 is a broad sensor of viral protease activities and suggests that CARD8 diversity contributes to inter- and intra-species variation in inflammasome-mediated viral sensing and immunopathology.

immunology↗

bioRxiv2021

FTO suppresses STAT3 activation and modulates proinflammatory interferon-stimulated gene expression

Signaling initiated by type I interferon (IFN) results in the induction of hundreds of IFN-stimulated genes (ISGs). The type I IFN response is important for antiviral restriction, but aberrant activation of this response can lead to inflammation and autoimmunity. Regulation of this response is incompletely understood. We previously reported that the mRNA modification m6A and its deposition enzymes, METTL3 and METTL14 (METTL3/14), promote the type I IFN response by directly modifying the mRNA of a subset of ISGs to enhance their translation. Here, we determined the role of the RNA demethylase FTO in the type I IFN response. FTO, which can remove either m6A or the cap-adjacent m6Am RNA modifications, has previously been associated with obesity and body mass index, type 2 diabetes, cardiovascular disease, and inflammation. We found that FTO suppresses the transcription of a distinct set of ISGs, including many known pro-inflammatory genes, and that this regulation is not through the actions of FTO on m6Am. Further, we found that depletion of FTO led to activation of STAT3, a transcription factor that mediates responses to various cytokines, but whose role in the type I IFN response is not well understood. This activation of STAT3 increased the expression of a subset of ISGs. Importantly, this increased ISG induction resulting from FTO depletion was partially ablated by depletion of STAT3. Together, these results reveal that FTO negatively regulates STAT3-mediated signaling that induces proinflammatory ISGs during the IFN response, highlighting an important role for FTO in suppression of inflammatory genes.

molecular biology↗

bioRxiv2021

Endomembrane targeting of human OAS1 p46 augments antiviral activity

Many host RNA sensors are positioned in the cytosol to detect viral RNA during infection. However, most positive-strand RNA viruses replicate within a modified organelle co-opted from intracellular membranes of the endomembrane system, which shields viral products from host cell innate immune sensors. Targeting innate RNA sensors to the endomembrane system may enhance their ability to sense viral RNA generated by viruses that use these compartments for replication. Here, we reveal that an isoform of oligoadenylate synthetase 1, OAS1 p46, is prenylated and targeted to the endomembrane system. Membrane localization of OAS1 p46 confers enhanced access to viral replication sites and results in increased antiviral activity against a subset of RNA viruses including flavivirus, picornavirus, and SARS-CoV-2. Finally, our human genetic analysis shows that the OAS1 splice-site SNP responsible for production of the OAS1 p46 isoform strongly associates with COVID-19 severity. This study highlights the importance of endomembrane targeting for the antiviral specificity of OAS1 and suggests early control of SARS-CoV-2 replication through OAS1-p46 is an important determinant of COVID-19 severity.

immunology↗

bioRxiv2020

Post-Transcriptional Regulation of Antiviral Gene Expression by N6-Methyladenosine

Type I interferons (IFN) induce hundreds of IFN-stimulated genes (ISGs) in response to viral infection. These ISGs require strict regulation for an efficient and controlled antiviral response, but post-transcriptional controls of these genes have not been well defined. Here, we identify a new role for the RNA base modification N6-methyladenosine (m6A) in the regulation of ISGs. Using ribosome profiling and quantitative mass spectrometry, coupled with m6A-immunoprecipitation and sequencing, we identified a subset of ISGs, including IFITM1, whose translation is enhanced by m6A and the m6A methyltransferase proteins METTL3 and METTL14. We further determined that the m6A reader YTHDF1 increases the expression of IFITM1 in an m6A binding-dependent manner. Importantly, we found that the m6A methyltransferase complex promotes the antiviral activity of type I IFN. Thus, these studies identify m6A as a post-transcriptional control of ISG translation during the type I IFN response for antiviral restriction.

immunology↗

bioRxiv2020

The mRNA cap 2'O methyltransferase CMTR1 regulates the expression of certain interferon-stimulated genes

Type I interferons (IFN) initiate an antiviral state through a signal transduction cascade that leads to the induction of hundreds of IFN-stimulated genes (ISGs) to restrict viral infection. Recently, RNA modifications on both host and viral RNAs have been described as regulators of infection. However, the impact of host mRNA cap modifications on the IFN response and how this regulates viral infection is unknown. Here, we reveal that CMTR1, an ISG that catalyzes 2O methylation of the first transcribed nucleotide in cellular mRNA (Cap 1), promotes the protein expression of specific ISGs that contribute to the antiviral response. Depletion of CMTR1 reduces the IFN-induced protein levels of ISG15, MX1, and IFITM1, without affecting their transcript abundance. However, CMTR1 depletion does not significantly affect the IFN-induced protein or transcript abundance of IFIT1 and IFIT3. Importantly, knockdown of IFIT1, which acts with IFIT3 to inhibit the translation of RNAs lacking Cap 1 2O methylation, restores protein expression of ISG15, MX1, and IFITM1 in cells depleted of CMTR1. Finally, we found that CMTR1 plays a role in restricting RNA virus replication, likely by ensuring the expression of specific antiviral ISGs. Taken together, these data reveal that CMTR1 is required to establish an antiviral state by ensuring the protein expression of a subset of ISGs during the type I IFN response. ImportanceInduction of an efficient type I IFN response is important to control viral infection. We show that the host 2O methyltransferase CMTR1 facilitates the protein expression of ISGs in human cells by preventing IFIT1 from inhibiting the translation of these mRNAs lacking cap 2O methylation. Thus, CMTR1 promotes the IFN-mediated antiviral response.

immunology↗

bioRxiv2019

Direct RNA sequencing reveals m6A modifications on adenovirus RNA are necessary for efficient splicing

Adenovirus is a nuclear replicating DNA virus reliant on host RNA processing machinery. Processing and metabolism of cellular RNAs can be regulated by METTL3, which catalyzes the addition of N6-methyladenosine (m6A) to mRNAs. While m6A-modified adenoviral RNAs have been previously detected, the location and function of this mark within the infectious cycle is unknown. Since the complex adenovirus transcriptome includes overlapping spliced units that would impede accurate m6A mapping using short-read sequencing, we profiled m6A within the adenovirus transcriptome using a combination of meRIP-seq and direct RNA long-read sequencing to yield both nucleotide and transcript-resolved m6A detection. Although both early and late viral transcripts contain m6A, depletion of m6A writer METTL3 specifically impacts viral late transcripts by reducing their splicing efficiency. These data showcase a new technique for m6A discovery within individual transcripts at nucleotide resolution, and highlight the role of m6A in regulating splicing of a viral pathogen.

molecular biology↗

bioRxiv2019

Altered m6A modification of specific cellular transcripts affects Flaviviridae infection

The RNA modification N6-methyladenosine (m6A) can modulate mRNA fate and thus affect many biological processes. We analyzed m6A modification across the transcriptome following infection by dengue virus (DENV), Zika virus (ZIKV), West Nile virus (WNV), and hepatitis C virus (HCV). We found that infection by these viruses in the Flaviviridae family alters m6A modification of specific cellular transcripts, including RIOK3 and CIRBP. During viral infection, the addition of m6A to RIOK3 promotes its translation, while loss of m6A in CIRBP promotes alternative splicing. Importantly, we found that activation of innate immune sensing or the endoplasmic reticulum (ER) stress response by viral infection contributes to the changes in m6A modification in RIOK3 and CIRBP, respectively. Further, several transcripts with infection-altered m6A profiles, including RIOK3 and CIRBP, encode proteins that influence DENV, ZIKV, and HCV infection. Overall, this work reveals that cellular signaling pathways activated during viral infection lead to alterations in m6A modification of host mRNAs to regulate infection.

molecular biology↗

bioRxiv2019

Limits in the detection of m6A changes using MeRIP/m6A-seq

Many cellular mRNAs contain the modified base m6A, and recent studies have suggested that various stimuli can lead to changes in m6A. The most common method to map m6A and to predict changes in m6A between conditions is methylated RNA immunoprecipitation sequencing (MeRIP-seq), through which methylated regions are detected as peaks in transcript coverage from immunoprecipitated RNA relative to input RNA. Here, we generated replicate controls and reanalyzed published MeRIP-seq data to estimate reproducibility across experiments. We found that m6A peak overlap in mRNAs varies from [~]30 to 60% between studies, even in the same cell type. We then assessed statistical methods to detect changes in m6A peaks as distinct from changes in gene expression. However, from these published data sets, we detected few changes under most conditions and were unable to detect consistent changes across studies of similar stimuli. Overall, our work identifies limits to MeRIP-seq reproducibility in the detection both of peaks and of peak changes and proposes improved approaches for analysis of peak changes.

bioinformatics↗