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Mendes, M.

Publications and source records attributed to Mendes, M..

15 recordsLinked to original sources

Disruption of the polyuracil tract can greatly enhance immunostimulatory properties of influenza delVGs

Non-standard viral genomes (nsVGs) are replication-incompetent genomes within viral populations whose presence has been associated with an enhanced immune response. This association has garnered interest in their use as potential antivirals, vaccine adjuvants, or general immune-modulators. In influenza A virus (IAV), the predominant nsVG is a large deletion in one of the three polymerase segments, which results in deletion-containing viral genomes (delVGs). Work from our group has found that individual delVGs can be recovered that are capable of stimulating high levels of interferon, however we and others have not previously found any consistent means of predicting or modifying determinants of this stimulation. Using high-throughput genetic approaches, we find that specific mutations disrupting the polyuracil tract in IAV delVGs can enhance interferon production by up to two orders of magnitude. Such variants can also associate with improved rescue in artificial systems engineered to exclude infectious virus, and can greatly suppress the growth of replication-competent virus. These findings indicate the polyuracil tract is a key, and unexpected, target for improvement of immunostimulatory delVGs derived from IAV.

microbiology↗

Data-driven forecasts of regional arrivals of non-native vertebrates worldwide

AimTo forecast near-future arrivals of non-native terrestrial and freshwater vertebrates at the regional level. LocationGlobal (geopolitical regions worldwide, including countries and main administrative divisions). MethodsWe compiled first regional record data and assembled functional and macroecological variables for 1,931 non-native vertebrate species. For each region, we identified recently arrived non-native species using retrospective windows of thirty and twenty years ending in 2015 (1986-2015; 1996-2015). We then fitted region-specific random-forest models classifying recently arrived species versus those not yet arrived using as predictors: (i) harmonised species traits (e.g., habitat, diet, body size and native-range attributes) and (ii) spread history, capturing time since first record elsewhere. Predictive performance was evaluated using leave-one-out cross-validation, comparing full models with trait-only and spread-only variants. We also assessed relationships between predictive accuracy, predictor importance, and the geographic positioning and trade connectedness of regions. Finally, we predicted region-specific probabilities of arrival for species not yet recorded. ResultsForecasting accuracy was consistently high across regions and taxa, with AUC values above 0.9 in more than half of the focal regions. Full models substantially outperformed models using either predictor set alone, and spread-history-only models typically exceeded trait-only models. Relative importance of spread-history predictors declined with geographic distance to the focal region, whereas predictability was lower in highly trade-connected regions. Predicted near-future high-risk arrivals were dominated by birds and freshwater fishes and showed strong regional structuring. A small set of species ranked highly across many regions (e.g., birds: Phasianus colchicus, Acridotheres tristis, Amandava amandava, Colinus virginianus, Corvus splendens and Lonchura malacca; fishes: Coregonus peled and Oreochromis mossambicus; mammal: Oryctolagus cuniculus), suggesting substantial unrealised spread potential. Main conclusionsNear-future regional arrivals of non-native vertebrates are predictable from spread history and species traits. This enables scalable, updateable regional watchlists to support prevention, early detection and horizon scanning.

ecology↗

Peruvian Population Genomics: Unraveling the Genetic Landscape and Admixture Dynamics of Urban Populations

Latin American populations exhibit high genetic and phenotypic diversity shaped by complex admixture histories, yet remain underrepresented in genomic research. Here, we analyze genome-wide data from 432 urban individuals across 13 regions of Peru, including 346 newly genotyped from the Peruvian Genome Project. We revealed fine-scale population structure and demographic patterns shaped by both ancient and recent events. Indigenous American ancestries in urban individuals trace back to ancient north-south interactions consisted with archaeological records, while admixture events occurring within the last 8-10 generations involved sources already admixed between distinct ancestral lineages. Identity-by-descent analyses reveal sustained gene flow in southern Peru, while effective population size trends highlight demographic stability in Lima over the past 25 generations. Sex-biased admixture patterns suggest Indigenous ancestry contribution preferentially mediated by females. These findings offer a comprehensive view of Perus genetic heritage, advancing our understanding of human genetic diversity and historical demographic processes in Latin America.

genetics↗

Novel CRITR-seq approach reveals influenza transcription is modulated by NELF and is a key event precipitating an interferon response

Transcription of interferons upon viral infection is critical for cell-intrinsic innate immunity. This process is influenced by many host and viral factors. To identify host factors that modulate interferon induction within cells infected by influenza A virus, we developed CRISPR with Transcriptional Readout (CRITR-seq). CRITR-seq is a method linking CRISPR guide sequence to activity at a promoter of interest. Employing this method, we find that depletion of the Negative Elongation Factor (NELF) complex increases both flu transcription and interferon expression. We find that the process of flu transcription, both in the presence and absence of viral replication, is a key contributor to interferon induction. Taken together, our findings highlight innate immune ligand concentration as a limiting factor in triggering an interferon response, identify NELF as an important interface with the flu life cycle, and validate CRITR-seq as a tool for genome-wide screens for phenotypes of gene expression. Significance StatementNearly every cell in the human body has the ability to detect and respond to viral infection by producing interferons. The timing and magnitude of the interferon response impacts the course of disease, and both hosts and viruses have evolved mechanisms to regulate interferon induction within infected cells. It has previously been challenging to comprehensively search for regulators of interferon expression using selection-based screens. Here we developed a CRISPR screening strategy to measure the effects of gene edits on transcription at a promoter of interest. Applying this method to study interferon transcription during influenza infection, we identified an interface between human and influenza transcription machinery that modulates the viral life cycle and influences the interferon response.

molecular biology↗

Influenza A virus transcription generates capped cRNAs that activate RIG-I

During influenza A virus (IAV) infection, host pathogen receptor retinoic acid-inducible gene I (RIG-I) detects the partially complementary, 5'-triphosphorylated ends of the viral genome segments and non-canonical replication products. However, it has also been suggested that innate immune responses may be triggered by viral transcription. In this study, we investigated whether an immunostimulatory RNA is produced during IAV transcription. We show that the IAV RNA polymerase can read though the polyadenylation signal during transcription termination, generating a capped complementary RNA (ccRNA), which contains the 5' cap of an IAV mRNA and the 3' terminus of a cRNA instead of a poly(A) tail. ccRNAs are detectable in vitro and in both ribonucleoprotein reconstitution assays and IAV infections. Mutations that disrupt polyadenylation enhance ccRNA synthesis and increase RIG-I-dependent innate immune activation. Notably, while ccRNA itself is not immunostimulatory, it forms a RIG-I agonist by hybridizing with a complementary negative-sense viral RNA. These findings thus identify a novel non-canonical IAV RNA species and suggest an alternative mechanism for RIG-I activation during IAV infection.

microbiology↗

Efficient genome replication in influenza A virus requires NS2 and sequence beyond the canonical promoter

Influenza A virus encodes promoters in both the sense and antisense orientations. These support the generation of new genomes, antigenomes, and mRNA transcripts. Using minimal replication assays--transfections with viral polymerase, nucleoprotein, and a genomic template--the influenza promoter sequences were identified as 13nt at the 5 end of the viral genomic RNA (U13) and 12nt at the 3 end (U12). Other than the fourth 3 nucleotide, the U12 and U13 sequences are identical between all eight RNA molecules that comprise the segmented influenza genome. Despite possessing identical promoters, individual segments can exhibit different transcriptional dynamics during infection. However flu promoter sequences were defined in experiments without influenza NS2, a protein which modulates transcription and replication differentially between genomic segments. This suggests that the identity of the "complete" promoter may depend on NS2. Here we assess how internal sequences of two genomic segments, HA and PB1, may contribute to NS2-dependent replication as well as map such interactions down to individual nucleotides in PB1. We find that the expression of NS2 significantly alters sequence requirements for efficient replication beyond the identical U12 and U13 sequence, providing a mechanism for the divergent replication and transcription dynamics across the influenza A virus genome.

microbiology↗

Putting computational models of immunity to the test - an invited challenge to predict B. pertussis vaccination outcomes

Systems vaccinology studies have been used to build computational models that predict individual vaccine responses and identify the factors contributing to differences in outcome. Comparing such models is challenging due to variability in study designs. To address this, we established a community resource to compare models predicting B. pertussis booster responses and generate experimental data for the explicit purpose of model evaluation. We here describe our second computational prediction challenge using this resource, where we benchmarked 49 algorithms from 53 scientists. We found that the most successful models stood out in their handling of nonlinearities, reducing large feature sets to representative subsets, and advanced data preprocessing. In contrast, we found that models adopted from literature that were developed to predict vaccine antibody responses in other settings performed poorly, reinforcing the need for purpose-built models. Overall, this demonstrates the value of purpose-generated datasets for rigorous and open model evaluations to identify features that improve the reliability and applicability of computational models in vaccine response prediction.

immunology↗

Exploring adaptive introgression in modern human circadian rhythm genes

Interbreeding between modern humans and archaic hominins, including Neanderthals and Denisovans, occurred as modern humans migrated outside of Africa. Here, we report on evidence of introgression from archaic hominins within genomic regions associated with circadian rhythm and chronotype using 76 worldwide modern human populations from the Human Genome Diversity Project and 1000 Genomes Project. We calculated the extent of regions indicative of adaptive introgression across the autosomes and identified regions that are suggested to be under positive selection. We tested for evidence of a latitudinal cline within 36 core haplotypes along with presenting the likely archaic donor for each of these haplotypes. We identified 265 independent segments that overlap genes described as having a circadian rhythm component or contain variants and segments previously identified as being associated with circadian rhythm or chronotype. Within these segments we found 1,729 archaically derived variants with allele frequencies of at least 40% intersecting 303 genes and intergenic segments. Seventeen of these segments show evidence of positive selection, three of which are found within our core haplotypes. We found that many of our genes are associated with the immune system or gastrointestinal function. Additionally, variants associated with complex traits such as schizophrenia and bipolar disorder are present within our adaptively introgressed regions. Lastly, genes and markers associated with sleep and chronotype phenotypes and serotonin pathways were also found in our adaptive introgression results, potentially signalling selection on genes related to seasonal light variation as modern humans migrated into new environments after leaving Africa. Author summaryAs modern humans migrated out of Africa, they encountered archaic hominins, the Neanderthals and Denisovans, and interbred with them. Signatures of these admixture events can be found in populations across the world. The result of these admixture events has shaped modern human evolution regarding high altitude adaptation, immune function, and skin and hair colour, to name a few. However, much of this information has been gathered with a focus on Eurasian populations using the 1000 Genomes Project samples. Here, we take advantage of newly published resources from 76 worldwide modern human populations to investigate how strongly a role admixture played on modern human circadian rhythm genes. Circadian rhythms have been tied to sleep-wake regulation, immune function, and digestive health. We find evidence for adaptive introgression in over 300 genes and intergenic segments. Many of these genes, like AMIGO2, are associated with complex traits such as schizophrenia and bipolar disorder or with immune system function, like JAK1. Some of these traits have been previously described before regarding archaic admixture. Interestingly, many of these associated traits are influenced by circadian rhythm oscillations, providing a new perspective on interpreting these findings.

genomics↗

Microtubule association of TRIM3 revealed by differential extraction proteomics

The microtubule network is formed from polymerised Tubulin subunits and associating proteins, which govern microtubule dynamics and a diverse array of functions. To identify novel microtubule binding proteins, we have developed an unbiased biochemical assay, which relies on the selective extraction of cytosolic proteins from cells, whilst leaving behind the microtubule network. Candidate proteins are linked to microtubules by their sensitivities to the depolymerising drug Nocodazole or the microtubule stabilising drug, Taxol, which is quantitated by mass spectrometry. Our approach is benchmarked by co-segregation of Tubulin and previously established microtubule-binding proteins. We then identify several novel candidate microtubule binding proteins, from which we have selected the ubiquitin E3 ligase TRIM3 (Tripartite motif-containing protein 3) for further characterisation. We map TRIM3 microtubule binding to its C-terminal NHL-repeat region. We show that TRIM3 is required for the accumulation of acetylated Tubulin, following treatment with Taxol. Furthermore, loss of TRIM3, partially recapitulates the reduction in Nocodazole-resistant microtubules characteristic of Alpha-Tubulin Acetyltransferase 1 (ATAT1) depletion. These results can be explained by a decrease in ATAT1 following depletion of TRIM3 that is independent of transcription.

cell biology↗

Genetics of Latin American Diversity (GLAD) Project: insights into population genetics and association studies in recently admixed groups in the Americas

Latin America is underrepresented in genetic studies, which can exacerbate disparities in personalized genomic medicine. However, genetic data of thousands of Latin Americans are already publicly available, but require a bureaucratic maze to navigate all the data access and consenting issues. We present the Genetics of Latin American Diversity (GLAD) Project, a platform that compiles genome-wide information of 54,077 Latin Americans from 39 studies representing 45 geographical regions. Through GLAD, we identified heterogeneous ancestry composition and recent gene-flow across the Americas. Also, we developed a simulated-annealing-based algorithm to match the genetic background of external samples to our database and share summary statistics without transferring individual-level data. Finally, we demonstrate the potential of GLAD as a critical resource for evaluating statistical genetic softwares in the presence of admixture. By making this resource available, we promote genomic research in Latin Americans and contribute to the promises of personalized medicine to more people.

genetics↗

Maximal interferon induction by influenza lacking NS1 is infrequent owing to requirements for replication and export

Influenza A virus exhibits high rates of replicative failure due to a variety of genetic defects. Most influenza virions cannot, when acting as individual particles, complete the entire viral life cycle. Nevertheless influenza is incredibly successful in the suppression of innate immune detection and the production of interferons, remaining undetected in >99% of cells in tissue-culture models of infection. Notably, the same variation that leads to replication failure can, by chance, inactivate the major innate immune antagonist in influenza A virus, NS1. What explains the observed rarity of interferon production in spite of the frequent loss of this, critical, antagonist? By studying how genetic and phenotypic variation in a viral population lacking NS1 correlates with interferon production, we have built a model of the "worst-case" failure from an improved understanding of the steps at which NS1 acts in the viral life cycle to prevent the triggering of an innate immune response. In doing so, we find that NS1 prevents the detection of de novo innate immune ligands, defective viral genomes, and viral export from the nucleus, although only generation of de novo ligands appears absolutely required for enhanced detection of virus in the absence of NS1. Due to this, the highest frequency of interferon production we observe (97% of infected cells) requires a high level of replication in the presence of defective viral genomes with NS1 bearing an inactivating mutation that does not impact its partner encoded on the same segment, NEP. This is incredibly unlikely to occur given the standard variation found within a viral population, and would generally require direct, artificial, intervention to achieve at an appreciable rate. Thus from our study, we procure at least a partial explanation for the seeming contradiction between high rates of replicative failure and the rarity of the interferon response to influenza infection. Author summaryThe production of interferons in response to viral threat is a potent barrier to successful infection. Viruses like influenza A virus encode potent interferon antagonists, suppressing detection of viral replication such that only an incredibly small number of cells successfully produce interferons. Strikingly, even in the absence of its major interferon antagonist, NS1, influenza still only induces an interferon response in a minority of infected cells. Using a combination of single-cell RNAseq, flow cytometry, and classical bulk methods, we explored how heterogeneity, both genetic and phenotypic, in a virus lacking NS1, explains the observed rarity of the interferon response. In doing so, we find that, in the absence of NS1, viral replication is absolutely required to induce an interferon response, and that both active export and the presence of defective viral genomes can greatly enhance, but are not strictly required, for the detection of this virus. The confluence of events which we find maximizes the host response is incredibly unlikely to occur alongside the absence of the NS1 protein via the most common forms of genetic variation in the viral population, perhaps explaining, in part, how a virus with such a high error rate nevertheless has such a high rate of success at evading cell intrinsic innate immunity.

microbiology↗

Programmable Mixed-Signal Biocomputers in Mammalian Cells

Living cells perform sophisticated computations that guide them toward discrete states. Synthetic genetic circuits are powerful tools for programing these computations, where transcription-regulatory networks and DNA recombination are the two dominant paradigms for implementing these systems. While each strategy exhibits unique strengths and weaknesses, integrating both into one seamless design framework would enable advanced gene circuit designs intractable with either approach alone. Here, we present Computation via Recombinase Assisted Transcriptional Effectors (CREATE), which leverages site-specific recombination to perform robust logic on discreet computational layers and programmable transcription factors that connect these layers, allowing individual calculations to contribute toward larger operations. We demonstrate the functionality of CREATE by producing sophisticated circuits using a simple plug- and-play framework, including 189 2-input-3-output circuits, modular digital-to-analog signal converters, a 2-bit multiplier circuit, and a digital and analog mixed-signal generator. This work establishes CREATE as a versatile platform for programming complex signal processing systems capable of high-fidelity logic computation and tunable control over circuit output levels. One-Sentence SummaryWe present a minimal and robust genetic circuit platform for programming cells with sophisticated signal processing capabilities.

synthetic biology↗

LUBAC assembles a signaling platform at mitochondria for signal amplification and shuttling of NF-ĸB to the nucleus

Mitochondria are increasingly recognized as cellular hubs to orchestrate signaling pathways that regulate metabolism, redox homeostasis, and cell fate decisions. Recent research revealed a role of mitochondria also in innate immune signaling, however, the mechanisms of how mitochondria affect signal transduction are poorly understood. Here we show that the NF-B pathway activated by TNF employs mitochondria as a platform for signal amplification and shuttling of activated NF-B to the nucleus. TNF induces the recruitment of HOIP, the catalytic component of the linear ubiquitin chain assembly complex (LUBAC), and its substrate NEMO to the outer mitochondrial membrane, where M1- and K63-linked ubiquitin chains are generated. NF-B is locally activated and transported to the nucleus by mitochondria, resulting in an increase in mitochondria-nucleus contact sites in a HOIP-dependent manner. Notably, TNF-induced stabilization of the mitochondrial kinase PINK1 contributes to signal amplification by antagonizing the M1-ubiquitin-specific deubiquitinase OTULIN.

cell biology↗

Library-based analysis reveals segment and length dependent characteristics of defective influenza genomes

Parasitic elements of the viral population which are unable to replicate on their own yet rise to high frequencies, defective interfering particles are found in a variety of different viruses. Their presence is associated with a loss of population fitness, both through the depletion of key cellular resources and the stimulation of innate immunity. For influenza A virus, these particles contain large internal deletions in the genomic segments which encode components of the heterotrimeric polymerase. Using a library-based approach, we comprehensively profile the growth and replication of defective influenza species, demonstrating that they possess an advantage during genome replication, and that exclusion during packaging reshapes population composition in a manner consistent with their final, observed, distribution in natural populations. We find that an innate immune response is not linked to the size of a deletion; however, replication of defective segments can enhance their immunostimulatory properties. Overall, our results address several key questions in defective influenza A virus biology, and the methods we have developed to answer those questions may be broadly applied to other defective viruses.

microbiology↗

Oligomeric α-Synuclein induces skin degeneration in a reconstructed human epidermis model

Cell senescence may promote epidermal inflammation and degeneration, termed as inflammaging, which is accompanied by keratinocyte loss, resulting in fine lines of wrinkles. Recent findings showed that healthy elderly skin expresses age- and neuron-related amyloidogenic proteins, such as tau, {beta}-Amyloid34, and -synuclein (-Syn), typically found in patients with neurodegenerative diseases. These proteins form toxic aggregates that trigger inflammatory signals. Herein, we investigated the impact of oligomeric -Syn (O-Syn) on the neurosphere (NP) and the reconstructed human epidermis (RHE) 3D models. First, we found the expression of -Syn, {beta}-Amyloid, and amyloid precursor protein (APP) in the RHE. Second, we challenged the RHE and NP with O-Syn, which decreased RHE regeneration, measured by the percentage of cell proliferation and thickness of the stratum basale, but did not affect NP neurite outgrowth. O-Syn did not decrease the number of human neonatal epidermal keratinocytes (HEKn) but, as seen for the RHE, it also decreased the proliferation of HEKn. We confirmed that the oligomeric, and not the monomeric -Syn species, accounted for the proliferation-decreasing effect. O-Syn also increased the NF-kB nuclear translocation in HEKn analyzed by nucleus/cytoplasm NF-{kappa}B fluorescence intensity. In addition, O-Syn triggered inflammation in the RHE, by increasing the mRNA levels of IL-1{beta} and tumor necrosis factor-alpha (TNF-), and the release of TNF- in a time-dependent manner. These findings show that O-Syn does not affect neurite outgrowth but induces a decrease in keratinocyte proliferation along with epidermal inflammation. With our tridimensional models, we demonstrated that the neurodegenerative protein O-Syn also degenerates the epidermis, drawing attention to the need of target-based screening to prevent and treat the effects of skin aging.

neuroscience↗