RNA Interactions Research Articles

DJ-1-mediated repression of the RNA-binding protein FMRP is predicted to impact known Alzheimer's disease-related protein networks.

RNA-binding proteins (RBPs) modulate the synaptic proteome and are instrumental in maintaining synaptic homeostasis. Moreover, aberrant expression of an RBP in a disease state would have deleterious downstream effects on synaptic function. While many underlying mechanisms of synaptic dysfunction in Alzheimer's disease (AD) have been proposed, the contribution of RBPs has been relatively unexplored. To investigate alterations in RBP-messenger RNA (mRNA) interactions in AD, and its overall impact on the disease-related proteome. We first utilized RNA-immunoprecipitation to investigate interactions between RBP, DJ-1 (Parkinson's Disease protein 7) and target mRNAs in controls and AD. Surface Sensing of Translation - Proximity Ligation Assay (SUnSET-PLA) and western blotting additionally quantified alterations in mRNA translation and protein expression of DJ-1 targets. Finally, we utilized an unbiased bioinformatic approach that connects AD-related pathways to two RBPs, DJ-1 and FMRP (Fragile X messenger ribonucleoprotein 1). We find that oligomeric DJ-1 in AD donor synapses were less dynamic in their ability to bind and unbind mRNA compared to synapses from cognitively unimpaired, neuropathologically-verified controls. Furthermore, we find that DJ-1 associates with the mRNA coding for FMRP, Fmr1, leading to its reduced synaptic expression in AD. Through the construction of protein-protein interaction networks, aberrant expression of DJ-1 and FMRP are predicted to lead to the upregulation of key AD-related pathways, such as thyroid hormone stimulating pathway, autophagy, and ubiquitin mediated proteolysis. DJ-1 and FMRP are novel targets that may restore established neurobiological mechanisms underlying AD.

The improved de Bruijn graph for multitask learning: predicting functions, subcellular localization, and interactions of noncoding RNAs.

Noncoding RNA refers to RNA that does not encode proteins. The lncRNA and miRNA it contains play crucial regulatory roles in organisms, and their aberrant expression is closely related to various diseases. Traditional experimental methods for validating the interactions of these RNAs have limitations, and existing prediction models exhibit relatively limited functionality, relying on isolated feature extraction and performing poorly in handling various types of small sample tasks. This paper proposes an improved de Bruijn graph that can inject RNA structural information into the graph while preserving sequence information. Furthermore, the improved de Bruijn graph enables graph neural networks to learn broader dependencies and correlations among data by introducing richer edge relationships. Meanwhile, the multitask learning model, DVMnet, proposed in this paper can handle multiple related tasks, and we optimize model parameters by integrating the total loss of three tasks. This enables multitask prediction of RNA interactions, disease associations, and subcellular localization. Compared with the best existing models in this field, DVMnet has achieved the best performance with a 3% improvement in the area under the curve value and demonstrates robust results in predicting diseases and subcellular localization. The improved de Bruijn graph is also applicable to various scenarios and can unify the sequence and structural information of various nucleic acids into a single graph.

Integrated analysis ceRNA network of autophagy-related gene RNF144B in steroid-induced necrosis of the femoral head

This study aimed to investigate the regulatory mechanisms that influenced autophagy in Steroid-induced necrosis of the femoral head (SONFH) by constructing a competing endogenous RNA (ceRNA) network. Blood sample data from the SONFH patients were obtained from the Gene Expression Omnibus (GEO) database under the accession number GSE123568. Autophagy-related genes were identified from the Human Autophagy Database (HADb). Differential analysis and weighted gene co-expression network analysis (WGCNA) were performed on the GSE123568 dataset to screen for core genes and validation was performed with the validation set. Based on the GEO dataset (GSE74089), we performed differential lncRNA analysis. Meanwhile, we utilized three databases, namely miRDB, TargetScan, and StarBase, to predict the miRNAs of target genes and corresponding lncRNAs. Cytoscape software was used to construct and visualize the ceRNA networks. We also employed reverse transcription-quantitative polymerase chain reaction (RT-qPCR) to quantify their expression levels. A total of 1692 differentially expressed genes (DEGs) were identified in the GSE123568 dataset. By intersecting with the HADb database, 47 autophagy-related genes were identified from these DEGs. Furthermore, we found the significant correlation between RNF144B and 37 autophagy genes. Importantly, we established a regulatory axis involving TUG1, hsa-miR-31-5p, and RNF144B., and both TUG1 and RNF144B were upregulated, while hsa-miR-31-5p was downregulated in the SONFH cell model. A TUG1-hsa-miR-31-5p-RNF144B axis was related to autophagy genes, which potentially provided insights into the RNA interactions triggering autophagy in SONFH.

RADIP technology comprehensively identifies H3K27me3-associated RNA-chromatin interactions.

Many RNAs associate with chromatin, either directly or indirectly. Several technologies for mapping regions where RNAs interact across the genome have been developed to investigate the function of these RNAs. Obtaining information on the proteins involved in these RNA-chromatin interactions is critical for further analysis. Here, we developed RADIP [RNA and DNA interacting complexes ligated and sequenced (RADICL-seq) with immunoprecipitation], a novel technology that combines RADICL-seq technology with chromatin immunoprecipitation to characterize RNA-chromatin interactions mediated by individual proteins. Building upon the foundational principles of RADICL-seq, RADIP extends its advantages by increasing genomic coverage and unique mapping rate efficiency compared to existing methods. To demonstrate its effectiveness, we applied an anti-H3K27me3 antibody to the RADIP technology and generated libraries from mouse embryonic stem cells (mESCs). We identified a multitude of RNAs, including RNAs from protein-coding genes and non-coding RNAs, that are associated with chromatin via H3K27me3 and that likely facilitate the spread of Polycomb repressive complexes over broad regions of the mammalian genome, thereby affecting gene expression, chromatin structures and pluripotency of mESCs. Our study demonstrates the applicability of RADIP to investigations of the functions of chromatin-associated RNAs.

Epigenetic Regulation of Immune Cells in Health and Disease: A Comprehensive Review

Epigenetic regulation plays a crucial role in the development, differentiation, and function of immune cells. Mechanisms such as DNA methylation, histone modifications, chromatin remodeling, and non-coding RNA interactions dynamically shape gene expression, enabling immune cells to adapt to environmental stimuli and mediate appropriate immune responses. Aberrant epigenetic regulation is implicated in a range of diseases, including autoimmune disorders, cancer, and chronic inflammatory conditions. In autoimmune diseases, such as systemic lupus erythematosus and rheumatoid arthritis, altered DNA methylation and histone modifications contribute to immune dysregulation and tissue damage. In cancer, immune cells in the tumor microenvironment often exhibit epigenetic changes that facilitate immune evasion. Emerging therapeutic strategies targeting epigenetic pathways, including DNA methyltransferase inhibitors, histone deacetylase inhibitors, and CRISPR-based epigenome editing, offer promising approaches for treating immune-mediated diseases. This review provides a comprehensive overview of the epigenetic mechanisms governing immune cell behavior, their dysregulation in disease, and the potential of epigenetic therapies to restore immune homeostasis and improve patient outcomes. Keywords: Epigenetics, immune cells, DNA methylation, histone modifications, non-coding RNAs, autoimmune diseases, immunotherapy

Identification and Validation of circDOCK1/miR-138-5p/GRB7 Axis for Promoting Breast Cancer Progression.

Non-coding RNAs have received increasing attention in human tumors, with RNA interaction networks playing important roles in breast cancer. This study aims to explore novel circular RNAs and their mechanisms of biological function in breast cancer. Six HER2-positive breast cancer tissues and paired normal tissues were obtained for the whole transcriptome RNA sequencing. Differentially expressed (DE) circRNAs, miRNAs and mRNAs were identified and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of DERNAs were performed. DECircRNAs- DEmiRNAs- DEmRNAs networks were constructed and further verified by bioinformatics database analyses, luciferase assays and RIP assays. The expression level of circDOCK1 in breast cancer specimens was measured using qRT-PCR. Functional rescue experiments were conducted to explore the role of circDOCK1/miR-138-5p/GRB7 axis in breast cancer cells. The correlation of circDOCK1 expression and clinicopathologic features of 102HER2 positive breast cancer patients was analyzed. A total of 6960 DEmRNAs, 133 DE miRNAs and 1691 DE circRNAs were identified from HER2-positive breast cancer tissues and paracancerous tissues. Enrichment Analysis showed that the differential mRNAs were associated with cell division in biological processes and cell cycle and signaling pathways. GO and KEGG analysis demonstrated that DE circRNAs were mainly enriched in double-strand break repair, positive regulation of transcription by RNA polymerase II, nucleoplasma, nucleus, chromatin binding and protein binding. Forty networks of competing endogenous RNAs (ceRNAs) were constructed and circDOCK1/miR-138-5p/GRB7 axis was verified. Functional experiments revealed that the axis promotes migration and invasion of breast cancer cells. CircDOCK1 expression was elevated in breast cancer patients and correlated with adverse clinicopathologic parameters. Patients with high circDOCK1 level had poor outcomes. A novel circDOCK1/miR-138-5p/GRB7 axis promotes HER2 positive breast cancer metastasis and progression, providing a potential therapeutic target in the treatment of breast cancer.

Decoding the role of RNA sequences and their interactions in influenza A virus infection and adaptation.

Influenza viruses (types A, B, C, and D) belong to the family orthomyxoviridae. Out of all the influenza types, influenza A virus (IAV) causes human pandemic outbreaks. Its pandemic potential is predominantly attributed to the genetic reassortment favored by a broad spectrum of host species that could lead to an antigenic shift along with a high rate of mutations in its genome, presenting a possibility of subtypes with heightened pathogenesis and virulence in humans (antigenic drift). In addition to antigenic shift and drift, there are several other inherent properties of its viral RNA species (vRNA, vmRNA, and cRNA) that significantly contribute to the success of specific stages of viral infection. In this review, we compile the key features of IAV RNA, such as sequence motifs and secondary structures, their functional significance in the infection cycle, and their overall impact on the virus's adaptive and evolutionary fitness. Because many of these motifs and folds are conserved, we also assess the existing antiviral approaches focused on targeting IAV RNA. This article is categorized under: RNA Structure and Dynamics > Influence of RNA Structure in Biological Systems RNA Interactions with Proteins and Other Molecules > Protein-RNA Interactions: Functional Implications RNA in Disease and Development > RNA in Disease.

Structural basis of the C-terminal domain of SARS-CoV-2 N protein in complex with GMP reveals critical residues for RNA interaction

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid (N) protein performs multiple functions during the viral life cycle, particularly in binding to the viral genomic RNA to form a helical ribonucleoprotein complex. Here, we present that the C-terminal domain of SARS-CoV-2 N protein (N-CTD) specifically interacts with polyguanylic acid (poly(G)). The crystal structure of the N-CTD in complex with 5′-guanylic acid (GMP, also known as guanosine monophosphate) was determined at a resolution of approximately 2.0 Å. A novel GMP-binding pocket in the N-CTD was illustrated. Residues Arg259 and Lys338 were identified to play key roles in binding to GMP through mutational analysis. These two residues are absolutely conserved in the other two highly pathogenic CoVs, SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV). Overall, our findings expand the structural information on N protein interacting with guanylate and reveal a conserved GMP-binding pocket as a potential antiviral target.

IsRNAcirc: 3D structure prediction of circular RNAs based on coarse-grained molecular dynamics simulation.

As an emerging class of RNA molecules, circular RNAs play pivotal roles in various biological processes, thereby determining their three-dimensional (3D) structure is crucial for a deep understanding of their biological significances. Similar to linear RNAs, the development of computational methods for circular RNA 3D structure prediction is challenging, especially considering the inherent flexibility and potentially long length of circular RNAs. Here, we introduce an extension of our previous IsRNA2 model, named IsRNAcirc, to enable circular RNA 3D structure predictions through coarse-grained molecular dynamics simulations. The workflow of IsRNAcirc consists of four main steps, including input preparation, end closure, structure prediction, and model refinement. Our results demonstrate that IsRNAcirc can provide reasonable 3D structure predictions for circular RNAs, which significantly reduce the locally irrational elements contained in the initial input. Moreover, for a validation test set comprising 34 circular RNAs, our IsRNAcirc can generate 3D models with better scores than the template-based 3dRNA method. These findings demonstrate that our IsRNAcirc method is a promising tool to explore the structural details along with intricate interactions of circular RNAs.

Identifying the amino acid domains of ORF59 responsible for interactions with ORF57 and PAN RNA during KSHV lytic replication.

Kaposi's sarcoma-associated herpesvirus (KSHV) DNA polymerase processivity factor, ORF59, is a lytic protein essential for viral DNA synthesis as part of the core replication complex. The multifunctional nature of ORF59 has prompted the investigation into its various functional domains. Prior studies of ORF59 have identified dimerization, DNA interaction, and polymerase interaction domains. The regions of ORF59 responsible for the interaction with the viral mRNA transport accumulation protein (MTA/ORF57) and the viral long non-coding polyadenylated nuclear (PAN) RNA have not been explored. Using a series of previously characterized ORF59 deletion KSHV BACmid mutants, we identified the domains of ORF59 that interact with ORF57 and PAN RNA. Interestingly, amino acids 51-100 were essential for interacting with both ORF57 and PAN RNA. Using this information, we generated a plasmid that expresses a DsRed-tagged polypeptide spanning amino acids 30-100 of ORF59. When the 30-100 aa DsRed-tagged polypeptide expression plasmid was transfected into KSHV wild-type iSLK cells prior to lytic reactivation, a dominant-negative inhibition of virus replication was observed, resulting in a decrease of infectious virus production. Our data suggest that interactions between ORF59 with ORF57 and PAN RNA are important to successful lytic replication.IMPORTANCETo better understand the Kaposi's sarcoma-associated herpesvirus (KSHV) DNA polymerase processivity factor ORF59, we investigated the interaction of ORF59 with ORF57 and polyadenylated nuclear (PAN) RNA. We used a previously characterized KSHV BACmid containing internal deletions of ORF59 to identify the domains of ORF59 that interact with ORF57 and PAN RNA. Our study revealed multiple domains of ORF59 that are essential for its association with PAN RNA. These domains span amino acids 51-100, 251-300, and 351-396. Additional experiments confirmed amino acids 51-100 are critical for the interaction between ORF59 and ORF57. Using this information, we generated an expression plasmid encompassing the ORF57 and PAN RNA interaction domains of ORF59. The ORF59 polypeptide expression plasmid of amino acids 30-100 functioned as a dominant negative inhibitor during viral reactivation and caused a decrease in virus production. These findings provide valuable insights into the key domains of ORF59, essential for its functionality, and ultimately the production of infectious viruses.

Broad‐Spectrum Antiviral Agents against SARS‐CoV‐2 Variants Inhibit the Conserved Viral Protein Nsp1–RNA Interaction

AbstractThe ongoing global threats posed by COVID‐19 pandemic, catalyzed by SARS‐CoV‐2, underscores the pressing need for effective antiviral strategies. The viral non‐structural protein 1 (Nsp1) significantly influences pathogenicity by impeding host protein expression and enhancing viral RNA translation through its interaction with the stem‐loop 1 (SL1) in the 5′ untranslated region (UTR). We have developed a novel dual‐luciferase reporter assay, designed to investigate the critical Nsp1–SL1 interaction, and identified P23E02 as a potential inhibitor. Our investigation, combining molecular docking studies and alanine mutagenesis, has unveiled that P23E02 disrupts Nsp1–40S ribosomal subunit interaction, liberating translational inhibition and empowering host antiviral responses. P23E02 exhibits antiviral efficacy against various sarbecoviruses, making it a promising candidate for combatting COVID‐19 and related diseases. This study underscores the therapeutic potential of targeting the Nsp1/SL1 axis and lays the foundation for innovative antiviral interventions, ultimately fortifying global preparedness against future viral threats.

Recurrent Neurodevelopmentally Associated Variants of the Pre-mRNA Splicing Factor U2AF2 Alter RNA Binding Affinities and Interactions.

De novo mutations affecting the pre-mRNA splicing factor U2AF2 are associated with developmental delays and intellectual disabilities, yet the molecular basis is unknown. Here, we demonstrated by fluorescence anisotropy RNA binding assays that recurrent missense mutants (Arg149Trp, Arg150His, or Arg150Cys) decreased the binding affinity of U2AF2 for a consensus splice site RNA. Crystal structures at 1.4 Å resolutions showed that Arg149Trp or Arg150His disrupted hydrogen bonds between U2AF2 and the terminal nucleotides of the RNA site. Reanalysis of publicly available RNaseq data confirmed that U2AF2 depletion altered splicing of transcripts encoding RNA binding proteins (RBPs). These results confirmed that the impaired RNA interactions of Arg149Trp and Arg150His U2AF2 variants could contribute to dysregulating an RBP-governed neurodevelopmental program of alternative splicing.

Mechanistic differences in eukaryotic initiation factor requirements for eIF4GI-driven cap-independent translation of structured mRNAs

Protein translation is globally downregulated under stress conditions. Many proteins that are synthesized under stress conditions use a cap-independent translation initiation pathway. A subset of cellular mRNAs that encode for these proteins contain stable secondary structures within their 5’ untranslated region (5’UTR), and initiate cap-independent translation using elements called Cap-Independent Translation Enhancers (CITEs) or Internal Ribosome Entry Sites (IRESs) within their 5’UTRs. The interaction among initiation factors such as eIF4E, eIF4A and eIF4GI, especially in regulating the eIF4F complex during non-canonical translation initiation of different 5’UTR mRNAs, is poorly understood. Here, equilibrium-binding assays, circular dichroism studies and in vitro translation assays were employed to elucidate the recruitment of these initiation factors to the highly structured 5’UTRs of fibroblast-growth factor 9 (FGF-9) and hypoxia inducible factor 1 subunit alpha (HIF-1α) encoding mRNAs. We showed that eIF4A and eIF4E enhanced eIF4GI’s binding affinity to the uncapped 5’UTR of HIF-1α mRNA, inducing conformational changes in the protein/RNA complex. In contrast, these factors have no effect on the binding of eIF4GI to the 5’UTR of FGF-9 mRNA. Recently, Izidoro, M. S. et al. reported that the interaction of 42nt unstructured RNA to human eIF4F complex is dominated by eIF4E and ATP-bound state of eIF4A. Here we show that structured 5’UTR mRNA binding mitigates this requirement. Based on these observations, we describe two possible cap-independent translation mechanisms for FGF-9 and HIF-1α encoding mRNAs employed by cells to mitigate cellular stress conditions.

Post-Translational Modifications of RNA-Modifying Proteins in Cellular Dynamics and Disease Progression.

RNA-modifying proteins, classified as "writers," "erasers," and "readers," dynamically modulate RNA by adding, removing, or interpreting chemical groups, thereby influencing RNA stability, functionality, and interactions. To date, over 170 distinct RNA chemical modifications and more than 100 RNA-modifying enzymes have been identified, with ongoing research expanding these numbers. Although significant progress has been made in understanding RNA modification, the regulatory mechanisms that govern RNA-modifying proteins themselves remain insufficiently explored. Post-translational modifications (PTMs) such as phosphorylation, ubiquitination, and acetylation are crucial in modulating the function and behavior of these proteins. However, the full extent of PTM influence on RNA-modifying proteins and their role in disease development remains to be fully elucidated. This review addresses these gaps by offering a comprehensive analysis of the roles PTMs play in regulating RNA-modifying proteins. Mechanistic insights are provided into how these modifications alter biological processes, contribute to cellular function, and drive disease progression. In addition, the current research landscape is examined, highlighting the therapeutic potential of targeting PTMs on RNA-modifying proteins for precision medicine. By advancing understanding of these regulatory networks, this review seeks to facilitate the development of more effective therapeutic strategies and inspire future research in the critical area of PTMs in RNA-modifying proteins.

An architectural role of specific RNA–RNA interactions in oskar granules

Ribonucleoprotein (RNP) granules are membraneless condensates that organize the intracellular space by compartmentalization of specific RNAs and proteins. Studies have shown that RNA tunes the phase behaviour of RNA-binding proteins, but the role of intermolecular RNA–RNA interactions in RNP granules in vivo remains less explored. Here we determine the role of a sequence-specific RNA–RNA kissing-loop interaction in assembly of mesoscale oskar RNP granules in the female Drosophila germline. We show that a two-nucleotide mutation that disrupts kissing-loop-mediated oskar messenger RNA dimerization impairs condensate formation in vitro and oskar granule assembly in the developing oocyte, leading to defective posterior localization of the RNA and abrogation of oskar-associated processing bodies upon nutritional stress. This specific trans RNA–RNA interaction acts synergistically with the scaffold RNA-binding protein, Bruno, in driving condensate assembly. Our study highlights the architectural contribution of an mRNA and its specific secondary structure and tertiary interactions to the formation of an RNP granule that is essential for embryonic development.

‘GGFGGQ’ repeats in Hfq of Acinetobacter baumannii are essential for nutrient utilization and virulence

The nosocomial pathogen Acinetobacter baumannii is known for causing lung and soft tissue infections in immunocompromised hosts. Its ability to adapt to various environments through post-transcriptional gene regulation is key to its success. Central to this regulation is the RNA chaperone Hfq, which facilitates interactions between mRNA targets and their small RNA (sRNA) partners through a Sm-core domain. Notably, the A. baumannii Hfq protein has a uniquely long C-terminal domain (CTD) with GGFGGQ amino acid repeats and an acidic amino acid-rich C-terminal tip (C-tip). Previous research has shown the importance of the intact CTD for Hfq's functionality. Given the significance of the C-tip in E. coli Hfq, we examined the pathophysiological roles of the redundant 'GGFGGQ' repeats along with the C-tip of A. baumannii Hfq. We constructed several variations of Hfq protein with fewer 'GGFGGQ' repeats while preserving the C-tip, and variants with altered C-tip amino acid composition. We then studied their RNA interaction abilities and assessed the pathophysiological fitness and virulence of genome-complemented A. baumannii mutants. Our findings reveal that the redundancy of the 'GGFGGQ' repeats is crucial for Hfq's role in pathophysiological fitness and negatively impacts A. baumannii's virulence in a murine lung infection model. In addition, C-tip mutants exhibited a negative effect on both fitness and virulence, however, to a lesser extent than the other variants. These results underscore the importance of 'GGFGGQ' redundancy and acidic residues in Hfq's ribo-regulation and autoregulation, suggesting their critical role in establishing regulatory networks.

Activity-Based Acylome Profiling with N-(Cyanomethyl)-N-(phenylsulfonyl)amides for Targeted Lysine Acylation and Post-Translational Control of Protein Function in Cells.

Lysine acylations are ubiquitous and structurally diverse post-translational modifications that vastly expand the functional heterogeneity of the human proteome. Hence, the targeted acylation of lysine residues has emerged as a strategic approach to exert biomimetic control over the protein function. However, existing strategies for targeted lysine acylation in cells often rely on genetic intervention, recruitment of endogenous acylation machinery, or nonspecific acylating agents and lack methods to quantify the magnitude of specific acylations on a global level. In this study, we develop activity-based acylome profiling (ABAP), a chemoproteomic strategy that exploits elaborate N-(cyanomethyl)-N-(phenylsulfonyl)amides and lysine-centric probes for site-specific introduction and proteome-wide mapping of posttranslational lysine acylations in human cells. Harnessing this framework, we quantify various artificial acylations and rediscover numerous endogenous lysine acylations. We validate site-specific acetylation of target lysines and establish a structure-activity relationship for N-(cyanomethyl)-N-(phenylsulfonyl)amides in proteins from diverse structural and functional classes. We identify paralog-selective chemical probes that acetylate conserved lysines within interferon-stimulated antiviral RNA-binding proteins, generating de novo proteoforms with obstructed RNA interactions. We further demonstrate that targeted acetylation of a key enzyme in retinoid metabolism engenders a proteoform with a conformational change in the protein structure, leading to a gain-of-function phenotype and reduced drug potency. These findings underscore the versatility of our strategy in biomimetic control over protein function through targeted delivery and global profiling of endogenous and artificial lysine acylations, potentially advancing therapeutic modalities and our understanding of biological processes orchestrated by these post-translational modifications.

Zooming in and out: Exploring RNA Viral Infections with Multiscale Microscopic Methods.

RNA viruses, being submicroscopic organisms, have intriguing biological makeups and substantially impact human health. Microscopic methods have been utilized for studying RNA viruses at a variety of scales. In order of observation scale from large to small, fluorescence microscopy, cryo-soft X-ray tomography (cryo-SXT), serial cryo-focused ion beam/scanning electron microscopy (cryo-FIB/SEM) volume imaging, cryo-electron tomography (cryo-ET), and cryo-electron microscopy (cryo-EM) single-particle analysis (SPA) have been employed, enabling researchers to explore the intricate world of RNA viruses, their ultrastructure, dynamics, and interactions with host cells. These methods evolve to be combined to achieve a wide resolution range from atomic to sub-nano resolutions, making correlative microscopy an emerging trend. The developments in microscopic methods provide multi-fold and spatial information, advancing our understanding of viral infections and providing critical tools for developing novel antiviral strategies and rapid responses to emerging viral threats.

Putting a Kink in HIV-1 Particle Infectivity: Rocaglamide Inhibits HIV-1 Replication by Altering Gag-Genomic RNA Interaction.

Our examination of RNA helicases for effects on HIV-1 protein production and particle assembly identified Rocaglamide (RocA), a known modulator of eIF4A1 function, as an inhibitor of HIV-1 replication in primary CD4+ T cells and three cell systems. HIV-1 attenuation by low-nM RocA doses was associated with reduced viral particle formation without a marked decrease in Gag production. Rather, the co-localization of Gag and HIV-1 genomic RNA (gRNA) assemblies was impaired by RocA treatment in a reversible fashion. Ribonucleoprotein (RNP) immunoprecipitation studies recapitulated the loss of Gag-gRNA assemblies upon RocA treatment. Parallel biophysical studies determined that neither RocA nor eIF4A1 independently affected the ability of Gag to interact with viral RNA, but together, they distorted the structure of the HIV-1 RNP visualized by electron microscopy. Taken together, several lines of evidence indicate that RocA induces stable binding of eIF4A1 onto the viral RNA genome in a manner that interferes with the ordered assembly of Gag along Gag-gRNA assemblies required to generate infectious virions.

Global RNA Interaction and Transcriptome Profiles Demonstrate the Potential Anti-Oncogenic Targets and Pathways of RBM6 in HeLa Cells

Background: The fate and functions of RNAs are coordinately regulated by RNA-binding proteins (RBPs), which are often dysregulated in various cancers. Known as a splicing regulator, RNA-binding motif protein 6 (RBM6) harbors tumor-suppressor activity in many cancers; however, there is a lack of research on the molecular targets and regulatory mechanisms of RBM6. Methods: In this study, we constructed an RBM6 knock-down (shRBM6) model in the HeLa cell line to investigate its functions and molecular targets. Then we applied improved RNA immunoprecipitation coupled with sequencing (iRIP-seq) and whole transcriptome sequencing approaches to investigate the potential role and RNA targets of RBM6. Results: Using The Cancer Genome Atlas dataset, we found that higher expression of RBM6 is associated with a better prognosis in many cancer types. In addition, we found that RBM6 knockdown promoted cell proliferation and inhibited apoptosis, demonstrating that RBM6 may act as an anti-oncogenic protein in cancer cells. RBM6 can regulate the alternative splicing (AS) of genes involved in DNA damage response, proliferation, and apoptosis-associated pathways. Meanwhile, RBM6 knockdown activated type I interferon signaling pathways and inhibited the expression of genes involved in the cell cycle, cellular responses to DNA damage, and DNA repair pathways. The differentially expressed genes (DEGs) by shRBM6 and their involved pathways were likely regulated by the transcription factors undergoing aberrant AS by RBM6 knockdown. For iRIP-seq analysis, we found that RBM6 could interact with a large number of mRNAs, with a tendency for binding motifs GGCGAUG and CUCU. RBM6 bound to the mRNA of cell proliferation- and apoptosis-associated genes with dysregulated AS after RBM6 knockdown. Conclusions: In summary, our study highlights the important role of RBM6, as well as the downstream targets and regulated pathways, suggesting the potential regulatory mechanisms of RBM6 in the development of cancer.