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Endogenous Nuclear Desmin Associates with the Nuclear Envelope in Human Skeletal Muscle Cells

Desmin is the major intermediate filament protein of muscle, yet its potential nuclear functions remain poorly understood. Here, we investigated the nuclear localization and organization of endogenous desmin in human skeletal muscle cells using quantitative confocal microscopy, biochemical fractionation, targeted MRM/SRM proteomics, and computational structural modeling. Desmin localized to the nuclear compartment and exhibited significantly stronger colocalization with emerin and lamin A/C than with lamin B1. Nuclear fractionation and targeted proteomics independently confirmed endogenous nuclear desmin, while protein-protein docking predicted structurally plausible interactions with all three nuclear envelope proteins, supporting a context-dependent nuclear interaction network. Together, these findings identify the nuclear envelope as a functional platform for desmin and suggest that nuclear desmin contributes to nucleo-cytoskeletal communication and the organization of mechanically responsive nuclear architecture during myogenesis. This work expands the current understanding of desmin biology and provides a framework for investigating its role in desmin-related muscle disease.

molecular biology↗

Biological Mechanisms of Strength Preservation During Calorie Restriction-Induced Weight Loss Among Young- to Middle-Aged Adults without Obesity

PurposeWeight loss is often pursued to improve cardiometabolic health and quality of life. However, rapid weight loss can lead to reductions in lean soft tissue mass and strength to compromise body composition and functional ability. Thus, identifying molecular predictors of muscular strength preservation during weight loss is critical to mitigating these effects. MethodsWe conducted a secondary analysis of the CALERIETM (Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy) trial, a two-year randomized controlled study of caloric restriction (CR) or ad-libitum intake in healthy adults without obesity. Among 198 participants, changes in whole-body mass and knee extensor strength were assessed over the first 12 months of the study which was primarily characterized by weight loss. Transcriptomic profiling was conducted in a subset of 42 participants who provided skeletal muscle samples. Linear regression was used to model the relationship between strength change and gene expression change, while controlling for changes in whole-body mass. Gene set enrichment analysis (GSEA) was performed using Hallmark pathways. Individual-level pathway analysis was performed via gene set variation analysis (GSVA). ResultsWe identified 96 out of 198 individuals (48.5%) who maintained or improved strength relative to body mass during weight loss (i.e. individuals with residuals > 0). Transcriptomics analysis on a subset of 42 individuals revealed 151 genes significantly associated with change in strength after accounting for change in whole-body mass (p < 0.01). Hub genes were identified as HSP90AA1 ({beta} = 34.45, SE = 7.32, p <0.001), EIF3A ({beta} = 36.14, SE = 10.27, p < 0.001), EIF5B ({beta} = 49.94, SE = 11.28, p < 0.001), and H3C1 ({beta} = -15.87, SE = 4.85, p < 0.001). GSEA revealed significant involvement of pathways related to cellular proliferation, immune regulation, protein secretion, and checkpoint control processes. GSVA identified a similar set of pathways. ConclusionsThese findings highlight molecular pathways supporting strength retention during CR-induced weight loss. Heat-shock protein, HSP90AA1, warrants further investigation as a candidate target for preserving muscle strength during interventions aimed at weight reduction.

molecular biology↗

Assigning Targetable Molecular Pathways to Transdiagnostic Subgroups Across Autism and Related Neurodevelopmental Disorders

The heterogeneity of autism and related neurodevelopmental conditions has impeded accurate prognoses and treatment discovery. Using translational neuroimaging across 135 mouse models (3,515 mice) and two human MRI datasets (n = 1,234 and n = 1,015), we derived participant subgroups from shared neuroanatomical features. These subgroups did not distinguish autism, ADHD, or OCD diagnoses and only modestly differentiated cognitive and behavioural phenotypes. Instead, they mapped onto four molecular pathways: (1) synaptic function; (2) MAPK and Wnt signalling; (3) chromatin modification and cellular stress responses; and (4) broader chromatin, immune, and second-messenger signalling pathways. This framework bridges preclinical models and idiopathic human neurodevelopmental conditions, linking patients to biologically relevant molecular mechanisms.

neuroscience↗

Development of a universal nanobody-binding Fab module for fiducial-assisted cryo- EM studies of membrane proteins

With conformation-specific nanobodies being used for a wide range of structural, biochemical, and cell biological applications, there is a demand for antigen-binding fragments (Fabs) that specifically and tightly bind these nanobodies without disturbing the nanobody-target protein interaction. Here we describe the development of a synthetic Fab (termed NabFab) that binds the scaffold of an alpaca-derived nanobody with picomolar affinity. We demonstrate that upon CDR grafting onto this parent nanobody scaffold, nanobodies recognizing diverse target proteins and derived from llama or camel can cross-react with NabFab without loss of affinity. Using NabFab as a fiducial and size enhancer (50 kDa), we determined the high-resolution cryo-EM structures of nanobody-bound VcNorM and ScaDMT, both small membrane proteins of ~50 kDa. Using an additional anti-Fab nanobody further facillitated reliable initial 3D structure determination from small cryo-EM test datasets. Given that NabFab is of synthetic origin, humanized, and can be conveniently expressed in E. coli in large amounts, it may not only be useful for structural biology, but also for biomedical applications.

molecular biology↗

Comparative analyses of disease-linked missense mutations in the RNA exosome modeled in budding yeast reveal distinct functional consequences in translation

The RNA exosome is a multi-subunit, evolutionarily conserved ribonuclease complex that is essential for processing, decay and surveillance of many cellular RNAs. Missense mutations in genes encoding the structural subunits of the RNA exosome complex cause a diverse range of diseases, collectively known as RNA exosomopathies, often involving neurological and developmental defects. The varied symptoms suggest that different mutations lead to distinct in vivo consequences. To investigate these functional consequences and distinguish whether they are unique to each RNA exosomopathy mutation, we generated a collection of in vivo models by introducing pathogenic missense mutations in orthologous S. cerevisiae genes. Comparative RNA-seq analysis assessing broad transcriptomic changes in each mutant model revealed that three yeast mutant models, rrp4-G226D, rrp40-W195R and rrp46-L191H, which model mutations in the genes encoding EXOSC2, EXOSC3 and EXOSC5, respectively, had the largest transcriptomic differences. While some transcriptomic changes, particularly in transcripts related to ribosome biogenesis, were shared among mutant models, each mutation also induced unique transcriptomic changes. Thus, our data suggests that while there are some shared consequences, there are also distinct differences in RNA exosome function by each variant. Assessment of ribosome biogenesis and translation defects in the three models revealed distinct differences in polysome profiles. Collectively, our results provide the first comparative analyses of RNA exosomopathy mutant models and suggest that different RNA exosome gene mutations result in in vivo consequences that are both unique and shared across each variant, providing further insight into the biology underlying each distinct pathology.

molecular biology↗

Chemical tools to define and manipulate interferon-inducible Ubl protease USP18

Ubiquitin-specific protease 18 (USP18) is a multifunctional cysteine protease primarily responsible for deconjugating interferon-inducible ubiquitin-like (Ubl) modifier ISG15 from protein substrates. Here, we report the design and synthesis of activity-based probes (ABPs) capable of selectively detecting USP18 activity over other ISG15 cross-reactive deubiquitinases (DUBs) by incorporating unnatural amino acids into the C-terminal tail of ISG15. Combining with a ubiquitin-based DUB ABP, the selective USP18 ABP is employed in a chemoproteomic screening platform to identify and assess inhibitors of DUBs including USP18. We further demonstrate that USP18 ABPs can be utilized to profile differential activities of USP18 in lung cancer cell lines, providing a strategy that will help define the activity-related landscape of USP18 in different disease states and unravel important (de)ISGylation-dependent biological processes.

molecular biology↗

Chromatin interactome mapping at 139 independent breast cancer risk signals

Genome-wide association studies have identified 196 high confidence independent signals associated with breast cancer susceptibility. Variants within these signals frequently fall in distal regulatory DNA elements that control gene expression. We designed a Capture Hi-C array to enrich for chromatin interactions between the credible causal variants and target genes in six human mammary epithelial and breast cancer cell lines. We show that interacting regions are enriched for open chromatin, histone marks for active enhancers and transcription factors relevant to breast biology. We exploit this comprehensive resource to identify candidate target genes at 139 independent breast cancer risk signals, and explore the functional mechanism underlying altered risk at the 12q24 risk region. Our results demonstrate the power of combining genetics, computational genomics and molecular studies to rationalize the identification of key variants and candidate target genes at breast cancer GWAS signals.

molecular biology↗

Translation and Transforming Activity of a Circular RNA from Human Papillomavirus

Bioinformatics and in vitro studies have revealed that single-stranded circular RNAs (circRNAs), generated through backsplicing, occur more extensively than initially appreciated. While the functions of most circRNAs are unknown, binding of microRNAs (miRNA), regulation of splicing and transcription, and translation into proteins have all been demonstrated for specific circRNAs. Virally-derived circRNAs have recently been described in gamma-herpesviruses. Here, we report that oncogenic human papillomaviruses (HPV) generate circRNAs, including ones which encompass the entire coding region of the E7 oncogene (circE7). HPV16 circE7 can be detected by both inverse RT-PCR and Northern blots of HPV16-transformed cell lines. CircE7 is N6-methyladenosine (m6A) modified, preferentially localized to the cytoplasm, and can be translated to produce E7 oncoprotein. Specific disruption of circE7 in CaSki cervical carcinoma cells decreased E7 protein levels, inhibited cell proliferation, and inhibited the ability of the cells to form colonies in soft agar. Analysis of TCGA RNA-seq data demonstrates that HPV-positive cancers have abundant circE7 RNAs. These results provide evidence that virally-derived, protein-encoding circular RNAs have biologically important functions with relevance to the transforming properties of HPV.

molecular biology↗

DNA energy constraints shape biological evolutionary trajectories

Most living systems rely on double-stranded DNA (dsDNA) to store their genetic information and perpetrate themselves. Thus, the biological information contained within a dsDNA molecule, in terms of a linear sequence of nucleotides, has been considered the main target of the evolution. However, in this information-centred perspective, certain DNA sequence symmetries are difficult to explain. Here we show that these patterns can emerge from the physical peculiarities of the dsDNA molecule itself and the maximum entropy principle alone, rather than from biological or environmental evolutionary pressure. Our predictions are valid for both prokaryotes and eukaryotes, and also inform the interpretation of observed codon biases and context-dependent mutation patterns in human populations. Our results suggest that the double helix energy constraints and, more generally, the physical properties of the dsDNA are the hard drivers of the overall DNA sequence architecture, whereas the biological selective processes act as soft drivers, which only under extraordinary circumstances overtake the overall entropy content of the genome.

molecular biology↗

Cysteine Glutathionylation as a Global Dynamic Regulator of Protein Active Site Accessibility and Protein Complex Formation

Protein-glutathionylation is traditionally viewed as a protective mechanism that shields cysteine-residues from irreversible oxidative damage. Its broader functional roles remain poorly understood, in part due to technical limitations in detecting this modification at scale. Here, we develop and leverage a new mass-spectrometry approach that preserves protein-glutathionylation, thereby revealing its widespread distribution across the proteome in cell models, worms, mice and human cardiac tissues. In all cases, we find that glutathionylation sites are enriched at both protein-protein interfaces and protein-active sites, and are highly conserved across species. We find that glutathionylation is dynamically redistributed in response to environmental challenges, thereby driving remodelling of cellular protein-protein interaction (PPI) networks, and access to protein active sites, with functional and phenotypic consequences. Finally, we show that glutathionylation accumulates on key cardiac-sarcomeric proteins in aged-mice and human cardiomyopathy biopsies, revealing its role in cardiovascular dysfunction. These findings reposition glutathionylation as a crucial regulatory PTM, akin to phosphorylation, that orchestrates adaptive cellular responses. This work redefines the role of glutathionylation, with broad implications for cell biology and disease.

molecular biology↗

Telomere Length as an Indicator of Lifestyle-Related Biological Aging in Hypertensive Adults: A Pilot Exploratory Study

BackgroundMultiple epidemiological studies have given a global perspective that hypertension leads to changes in telomere length (TL). This study aimed to investigate the association between leukocyte telomere length and lifestyle factors among individuals with hypertension, a family history of the disease and healthy controls. MethodsThis pilot exploratory cross-sectional study included 45 participants (n = 15 per group) divided into hypertensive, familial hypertensive, and control groups. Lifestyle behaviors were assessed using the FANTASTIC Lifestyle Checklist, evaluating domains such as physical activity, diet, sleep, and stress. Relative telomere length (T/S ratio) of leucocytes was measured from peripheral blood samples using quantitative real-time PCR (qPCR). Data were analyzed using SPSS software, with ANOVA, Kruskal-Wallis test, and multivariable linear regression applied for statistical analysis. ResultsRelative telomere length differed significantly among the study groups (p = 0.008), with hypertensive participants demonstrating the highest median telomere-to-single-copy gene (T/S) ratio (2.66), followed by familial hypertensive (1.25) and control participants (0.87). Total lifestyle scores also varied significantly across groups (p < 0.001), with hypertensive individuals exhibiting higher mean scores (77.07 {+/-} 5.59) than familial hypertensive (67.20 {+/-} 3.00) and control participants (67.07 {+/-} 5.97). A modest positive correlation was observed between total lifestyle score and relative telomere length (r = 0.329, p < 0.05), suggesting that healthier lifestyle behaviors in diagnosed hypertensive subjects following healthy lifestyles and regular medications were associated with longer telomeres. However, in multivariable linear regression analyses, lifestyle score, age, gender, hypertension status, and family history of hypertension were not independently associated with telomere length (all p > 0.05). ConclusionLifestyle scores were positively associated with telomeres, and significantly higher telomere ratios in hypertensive subjects suggest complex biological interactions that require further investigation through larger longitudinal studies in the target population.

Molecular Biology↗

Multidimensional atlas of RNA-regulated proteins revealed by RNA-dependent thermal proteome profiling

RNA and proteins interact pervasively in cellular processes, yet the functional relevance of most RNA-binding proteins remains unknown. To address this, we developed RNA-dependent thermal proteome profiling (RTPP), a method that identifies RNA-regulated proteins (RRPs) by detecting changes in a proteins structural stability upon RNA binding, without requiring crosslinking or enrichment. Applying RTPP in HEK293T cells revealed 1,664 RRPs, including 257 previously undetected RNA-binding "orphans". One such orphan, SGK3, binds the lncRNA CASC15, facilitating its PtdIns(3)P binding, endosomal recruitment and kinase activity. We further generated a tissue-specific RRP atlas, identifying interactions unique to particular organs, including hippocampus-specific RRPs dysregulated in Alzheimers disease. Integrating RTPP with proximity labeling resolved RNA-binding heterogeneities across subcellular compartments. Live-cell RNase treatment also uncovered proteins associated with cell surface RNA, revealing that RO60 form nanoscale clusters with glycoRNA. RTPP provides a powerful approach to decipher functional RNA-protein interactions across multiple biological dimensions.

molecular biology↗

Genome-Wide Exploration of the Opportunistic Providencia stuartii Unveils the Novel Genetic Interactions with the Virulence Gene of Diarrheal Pathogens

Diarrhea typically indicates an intestinal disorder, which can occur from viruses, parasites or bacterial infection. Along with the common diarrhea-causing pathogens, opportunistic bacteria may also play a role in the etiology of diarrheal disease. One of the opportunists bacteria that can cause diarrhea in both children and adults is Providencia stuartii. Therefore, the goal of this study is to explore the genetic mechanism of the opportunistic P. stuartii in microbial interactions with common diarrheal pathogens. Hence, P. stuartii was identified by utilizing the morphological observation and molecular techniques. Afterwards, the entire genome of P. stuartii was sequenced, assembled and annotated to explore the genomic insights. In addition, the virulence genes of 100 whole genome sequences from ten prevalent diarrhea-causing bacteria were identified and prioritized. Finally, the system biology approach was used to predict the protein-protein interaction network between P. stuartii and the virulence genes. The results of the present study suggests that complete genome sequencing of this bacteria contains 4011 proteins, which are crucial for this bacterium to survive. Additionally, 16 gene clusters provide 207 interacting genes that could interact with biological and molecular function, subcellular localization and pathway. The microbial interaction accompanying the virulence gene was found in all 10 diarrhea-causing bacteria except Clostridium difficile. These findings of this study could aid in the exploration of Providencia stuartii as the major causative agent of diarrhea. Additionally, the pathophysiology of diarrhea can be investigated using the microbial interactions between P. stuartii and the typical diarrheal bacteria. The results of this study may therefore be used to determine the most effective therapeutic targets for the development of medications to treat diarrhea.

genomics↗

AmyCo: the Amyloidoses Collection

AmyCo: the Amyloidoses CollectionAmyloid fibrils are formed when soluble proteins misfold into highly ordered insoluble fibrillar aggregates and affect various organs and tissues. The deposition of amyloid fibrils is the main hallmark of a group of disorders, called amyloidoses. Curiously, fibril deposition has been also recorded as a complication in a number of other pathological conditions, including well-known neurodegenerative or endocrine diseases. To date, amyloidoses are roughly classified, owing to their tremendous heterogeneity. In this work, we introduce AmyCo, a freely available collection of amyloidoses and clinical disorders related to amyloid deposition. AmyCo classifies 74 diseases associated with amyloid deposition into two distinct categories, namely 1) amyloidosis and 2) clinical conditions associated with amyloidosis. Each database entry is annotated with the major protein component (causative protein), other components of amyloid deposits and affected tissues or organs. Database entries are also supplemented with appropriate detailed annotation and are referenced to ICD-10, MeSH, OMIM, PubMed, AmyPro and UniProtKB databases. To our knowledge, AmyCo is the largest repository containing information about amyloidoses and diseases related to amyloid deposition. The AmyCo web interface is available at http://bioinformatics.biol.uoa.gr/amyco.\n\nKaterina C. Nastou is a Ph.D. student in Bioinformatics, at the Department of Biology of the National and Kapodistrian University of Athens. She is currently working on computational analysis of membrane and amyloidogenic proteins as part of her Ph.D. thesis. Her research focuses on the study of protein-protein interactions and the visualization and analysis of biological networks for these protein families, on the computational prediction of protein structure and function and the design and development of biological databases.\n\nGeorgia I. Nasi is a Ph.D. student in Biophysics, at the Department of Biology of the National and Kapodistrian University of Athens and a second year student in the Bioinformatics Masters Program, at the same department. She is currently conducting her Masters thesis on the computational analysis and visualization of the interaction network of amyloidoses and proteins associated with these disorders. Her research for her Ph.D. focuses on biophysical and computational analysis of amyloidogenic proteins and peptide-analogues associated with amyloidoses.\n\nDr. Paraskevi L. Tsiolaki is a Biologist with an MSc in Bioinformatics and a PhD in Molecular Biophysics. She is currently working as a postdoctoral fellow in Dr V. Iconomidous group, Assist. Prof. at the National and Kapodistrian University of Athens and her research interests focus on Molecular Biophysics and Structural Biology. Her current research efforts have been directed towards identifying the structural characteristics that underlie the self-assembly mechanisms,governing amyloidogenicity. More specifically she works on the structure and self-assembly of different amyloidogenic proteins or amyloidogenic peptide-analogues, implicated with amyloidoses, utilizing biophysical and biochemical techniques. She is also working on the computational and structural analysis of the anomalous type of protein-protein interactions in protein aggregation, with particular focus on the development of novel therapeutic intervention strategies.\n\nDr.Zoi Litou works as a Special Laboratory Teaching Staff in \"Bioinformatics-Biophysics\" at the Section of Cell Biology and Biophysics, Department of Biology, National &Kapodistrian University of Athens. She has a PhD in Bioinformatics. She is currently working on computational analysis of membrane proteins focusing on the automated recognition and classification of single-spanning membrane proteins, CWPs, GPCRs and Ion channels. Biological Network Analysis, Prediction algorithms, Algorithm Visualization techniques in Bioinformatics, High throughput sequencing analysis and visualization, Clustering Analysis, Knowledge discovery, management and representation, Data integration, Chemoinformatics, Pharmacogenomics, Text Mining in Bioinformatics, Personalized Medicine, Parallel programming.\n\nDr. Vassiliki A. Iconomidou is an Assistant Professor of Structural Biology/Molecular Biophysics and a group leader of Biophysics and Bioinformatics Lab at the Department of Biology of the National and Kapodistrian University of Athens. Her research interests include: 1) Structural and self-assembly studies of fibrous proteins, which form extracellular, proteinaceous structures of physiological importance like lepidopteran, dipteran and fish chorions and arthropod cuticle, 2) Structural and self-assembly studies of silkmoth chorion peptide-analogues as novel self-assembled polymers with amyloid properties, aiming at the construction of novel biomaterials with extraordinary physical properties, 3) Experimental studiesof the role of a great variety of amyloidogenic ( aggregation-prone) peptides, predicted by our AMYLPRED prediction algorithm, in several widespread and also rare pathological amyloidoses. She had been visiting European Molecular Biology Laboratory (EMBL Heidelberg) for more than ten years, conducting research on molecular self-assembly focusing especially on functional, protective and pathological amyloids and amyloidoses, and she was there when she published the first article on natural protective amyloids. She is the author of 41 publications and 6 book chapters which focus mostly on functional and pathological amyloid studies.

bioinformatics↗

Single-molecule FRET and molecular dynamics simulations reveal early activation steps of MET receptor by Listeria monocytogenes

The assembly of membrane receptors into signaling complexes is at the origin of key cellular events. Yet, we often lack detailed structural mechanistic understanding. Receptors are embedded into a complex cellular membrane, which defines their dynamics but also complicates their experimental characterizations significantly. Here, we showcase an integrative structural biology approach to investigate the activation mechanism of the human growth factor receptor MET. MET is a receptor tyrosine kinase involved in cell proliferation, migration, and survival. MET is also hijacked by the intracellular pathogen Listeria monocytogenes. Its invasion protein, internalin B (InlB), binds to MET and promotes the formation of a signaling dimer that triggers the internalization of the pathogen. Crystallography had suggested two different 2:2 MET:InlB complexes. Here, we use a combination of structural biology, modeling, molecular dynamics simulations, and in situ single-molecule Forster resonance energy transfer (smFRET) to elucidate the early events in MET activation. Simulations show that InlB binding stabilizes MET in a conformation that promotes dimer formation. smFRET identifies the organization of the in situ signaling dimer, which resembles one of the two crystal structures yet shows differences. Further MD simulations resulted in a refinement of the dimer model, which is in quantitative agreement with smFRET results. We accurately describe the structural dynamics underpinning an important cellular event and introduce a powerful methodological pipeline applicable to studying the activation of other plasma membrane receptors in situ.

biophysics↗

Transcriptome analysis of alternative splicing-coupled nonsense-mediated mRNA decay in human cells reveals broad regulatory potential

To explore the regulatory potential of nonsense-mediated mRNA decay (NMD) coupled with alternative splicing, we globally surveyed the transcripts targeted by this pathway via RNA-Seq analysis of HeLa cells in which NMD had been inhibited. We identified putative NMD-targeted transcripts as those with a termination codon more than 50 nucleotides upstream of an exon-exon junction (premature termination as defined by the ‘50nt rule’) and that significantly increased in abundance upon NMD inhibition. We additionally controlled for potential transcriptional up-regulation by requiring the putative NMD targets to increase in abundance substantially more than the isoforms from the same gene that do not contain a premature termination codon. This resulted in a conservative set of 2,793 transcripts derived from 2,116 genes as physiological NMD targets (9.2% of expressed transcripts and >20% of alternatively spliced genes). Our analysis identified previously inferred unproductive isoforms and numerous heretofore-uncharacterized ones. NMD-targeted transcripts were derived from genes involved in many functional categories, and are particularly enriched for RNA splicing genes as well as for those harboring ultraconserved elements. By investigating the features of all transcripts impacted by NMD, we find that the 50nt rule is a strong predictor of NMD degradation while 3’ UTR length on its own generally has only a small effect in this human cell line. Additionally, thousands more transcripts without a premature termination codon in the main coding sequence contain a uORF and display significantly increased abundance upon NMD inhibition indicating potentially widespread regulation through decay coupled with uORF translation. Our results support that alternative splicing coupled with NMD is a prevalent post-transcriptional mechanism in human cells with broad potential for biological regulation.Competing Interest StatementThe authors have declared no competing interest.View Full Text

molecular biology↗

Nanopore sequencing reveals endogenous NMD-targeted isoforms in human cells

BackgroundNonsense-mediated mRNA decay (NMD) is a eukaryotic, translation-dependent degradation pathway that targets mRNAs with premature termination codons and also regulates the expression of some mRNAs that encode full-length proteins. Although many genes express NMD-sensitive transcripts, identifying them based on short-read sequencing data remains a challenge. ResultsTo identify and analyze endogenous targets of NMD, we applied cDNA Nanopore sequencing and short-read sequencing to human cells with varying expression levels of NMD factors. Our approach detects full-length NMD substrates that are highly unstable and increase in levels or even only appear when NMD is inhibited. Among the many new NMD-targeted isoforms that our analysis identified, most derive from alternative exon usage. The isoform-aware analysis revealed many genes with significant changes in splicing but no significant changes in overall expression levels upon NMD knockdown. NMD-sensitive mRNAs have more exons in the 3'UTR and, for those mRNAs with a termination codon in the last exon, the length of the 3'UTR per se does not correlate with NMD sensitivity. Analysis of splicing signals reveals isoforms where NMD has been co-opted in the regulation of gene expression, though the main function of NMD seems to be ridding the transcriptome of isoforms resulting from spurious splicing events. ConclusionsLong-read sequencing enabled the identification of many novel NMD-sensitive mRNAs and revealed both known and unexpected features concerning their biogenesis and their biological role. Our data provide a highly valuable resource of human NMD transcript targets for future genomic and transcriptomic applications.

molecular biology↗

An Atypical RNA Quadruplex Marks RNAs as Vectors for Gene Silencing

The addition of poly(UG) ("pUG") repeats to 3' termini of mRNAs drives gene silencing and trans-generational epigenetic inheritance in the metazoan C. elegans.1 pUG tails promote silencing by recruiting an RNA-dependent RNA Polymerase (RdRP) that synthesizes small interfering (si)RNAs.1 Here we show that active pUG tails require a minimum of 11.5 repeats and adopt a quadruplex (G4)2 structure we term the pUG fold. The pUG fold differs from known G4s in that it has a left-handed backbone similar to Z-RNA3,4, no consecutive guanosines in its sequence, and three G quartets and one U quartet stacked non-sequentially. Its biological importance is emphasized by our observations that porphyrin molecules bind to the pUG fold and inhibit both gene silencing and binding of RdRP. Moreover, specific N7-deaza RNA substitutions that do not adopt the pUG fold neither bind RdRP nor induce RNA silencing. These data define the pUG fold as a previously unrecognized RNA secondary structure motif that drives gene silencing. The pUG fold can also form internally within larger RNA molecules. Approximately 20,000 pUG-fold sequences are found in non-coding regions of human RNAs, suggesting the fold likely has biological roles beyond gene silencing.

molecular biology↗