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Barbosa-Morais, N. L.

Publications and source records attributed to Barbosa-Morais, N. L..

12 recordsLinked to original sources

Revisiting Stress Granule Transcriptomes Suggests Mitochondrial RNA Enrichment Despite Methodological Bias

Stress granules (SGs) are dynamic, membraneless cytoplasmic condensates that form in response to diverse cellular stressors. Although proposed to modulate stress responses by selectively sequestering proteins and RNAs, their precise molecular composition and function remain unclear. Reported SG transcriptomes differ substantially due to methodological discrepancies, notably between differential centrifugation (DC) and proximity labeling (PL). Here, we reanalyse publicly available human SG transcriptomes across multiple stressors, cell types, and isolation strategies. DC-based profiles were strongly shaped by RNA length, consistent with a physical bias inherent to the sedimentation-based separation. Correcting for this effect reveals limited concordance between studies. Mitochondrially encoded RNAs nonetheless consistently stand out as a distinctively regulated transcript class, without a uniform direction of enrichment/depletion across datasets, and with a modest but significant enrichment in our consensus SG signature. Immunofluorescence experiments further support, without definitively demonstrating, sequestration of mitochondrial dsRNA by SGs upon stress. Since leakage of mitochondrial nucleic acids is a well-characterised damage-associated molecular pattern linked to inflammation, their sequestration in SGs suggests a potential role in modulating immune-related stress responses. These findings refine our understanding of SG composition, underscore the need to control for technical artifacts in SG isolation, and provide a framework to distinguish genuine biological signals from methodological noise in SG research.

cell biology↗

Introducing circStudio, a Python package for preprocessing, analyzing and modeling actigraphy data

Actigraphy is a non-invasive and cost-effective method for monitoring behavioral rhythms under real-world conditions by collecting time-resolved measurements of locomotor activity, light exposure, and temperature. Although several open-source packages support specific aspects of actigraphy analysis, aspects such as preprocessing, metric calculation, and mathematical modeling are often distributed across separate software packages, limiting interoperability and increasing programming overhead. Here we introduce circStudio, a Python package that unifies actigraphy data processing and mathematical modeling of circadian rhythms within a single framework. Built from the pyActigraphy codebase and integrating circadian models from the Arcascope circadian package, circStudio provides flexible preprocessing tools, support for multiple actigraphy file formats through adaptor classes, standalone functions for computing commonly used actigraphy metrics, and implementations of several mathematical models of circadian rhythms. The package enables users to move efficiently from raw wearable data to physiologically interpretable circadian outputs. Ultimately, circStudio aims to facilitate reproducible workflows and to provide a flexible foundation for research applications across circadian biology, sleep science, and digital health.

bioinformatics↗

Exploring molecular signatures of senescence with markeR, an R toolkit for evaluating gene sets as phenotypic markers

Many biological processes, including cellular senescence, manifest as diverse phenotypes across cell types and conditions. Lacking definitive markers, researchers often rely on the expression of sets of genes to identify these complex states. However, multiple approaches exist to summarise gene set expression into quantitative metrics (i.e., signatures), each with distinct strengths and limitations, and we know of no consensual framework to systematically evaluate their performance across datasets. We therefore developed markeR, an open-source, modular R package that evaluates gene sets as phenotypic markers using scoring and enrichment-based approaches. markeR generates interpretable metrics and intuitive visualisations for benchmarking gene signatures and exploring their associations with study variables. As a case study, we applied markeR to 9 published senescence-related gene sets across 25 RNA-seq datasets, 6 human cell types and 12 senescence-inducing conditions. Gene set performance varied widely: some signatures (e.g., SenMayo) were robust senescence markers across contexts, while others (e.g., MSigDB sets) performed poorly. We further applied markeR to 49 GTEx tissues, revealing tissue- and age-related differences in senescence-associated signals. Together, these findings emphasise the difficulty of characterising molecular phenotypes and demonstrate markeRs potential for the systematic evaluation of gene sets in various biological contexts. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=79 SRC="FIGDIR/small/692517v3_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@65bbb4org.highwire.dtl.DTLVardef@1062cc7org.highwire.dtl.DTLVardef@65f3b5org.highwire.dtl.DTLVardef@163228b_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

Circadian disruption beneath the surface: a screening approach to identify actigraphy-based markers of split shift work in submariners

Identifying behavioral markers of disease risk associated with circadian disruption remains challenging due to reproducibility concerns, as human studies are often under-powered to detect the effects of interest. Submarines provide an extreme example of cir-cadian disruption, depriving individuals of natural light-dark cycles and limiting oppor-tunities for physical activity. To address these challenges, we developed an effect size-based method to robustly screen potential actigraphy-derived markers of the submarine environment. Actigraphy data was collected across the pre-mission, mission and post-mission periods. During the mission, crew members followed a 6-hours-on/6-hours-off split shift schedule, except for submariners with on-call duty or extended hours. Forty-one actigraphy variables were screened for their ability to differentiate between study periods and shifts. A Monte Carlo permutation test was used for this initial screening, followed by receiver operating characteristic (ROC) curve analysis for pairwise compar-isons. Light-related features, the slopes of regression lines fitted to the daily predicted dim light melatonin onset (DLMO) trajectories, and Pearson correlation coefficients be-tween each recording day and its corresponding predicted DLMO demonstrated the great-est potential to distinguish between study periods. Most high-performing features dis-criminated between split shift work schedules and on-call or extended-hours schedules. Only the relative amplitude (RA) and the average light intensity during the five least-illuminated hours of the day (L5) reliably distinguished between the shift performing the bulk of nighttime work and its counterpart. Although submarine settings offer an oppor-tunity to study a healthy population living under confined movement and dim light, de-tecting biological signals through actigraphy in this environment is inherently challeng-ing. Demonstrating robust effects under these conditions supports the use of actigraphy in dimly-lit, isolated, confined, and extreme (DICE) environments, but also its applica-bility to study other operational or clinical populations with reduced activity levels.

bioinformatics↗

scStudio: A User-Friendly Web Application Empowering Non-Computational Users with Intuitive scRNA-seq Data Analysis

BackgroundSingle-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity by providing detailed insights into gene expression at the individual cell level. Despite its potential, the complexity of scRNA-seq data analysis often poses challenges for researchers without computational expertise. FindingsTo address this, we developed scStudio, a user-friendly, comprehensive, and modular web-based application designed to democratize scRNA-seq data analysis. scStudio is equipped with a suite of features designed to streamline data retrieval and analysis with both flexibility and ease, including automated dataset retrieval from the Gene Expression Omnibus. Users can also upload their own datasets in a variety of formats, integrate multiple datasets, and tailor their analyses using a wide range of flexible methods with options for parameter optimization. The application supports all the essential steps required for scRNA-seq data analysis, including in-depth quality control, normalization, dimensionality reduction, clustering, differential expression, and functional enrichment analysis. scStudio also tracks the history of analyses, supports session data storage and export, and facilitates collaboration through data sharing features. ConclusionBy developing scStudio as a user-friendly interface and scalable architecture, we address the evolving needs of scRNA-seq research, making advanced data analysis accessible and manageable while accommodating future developments in the field. scStudio is freely available at https://compbio.imm.medicina.ulisboa.pt/app/scStudio.

bioinformatics↗

The immune landscape of murine skeletal muscle regeneration and aging

Age-related alterations in the immune system are starting to emerge as key contributors to impairments found in aged organs. A decline in regenerative capacity is a hallmark of tissue aging, however the contribution of immune aging to regenerative failure is just starting to be explored. Here, we applied a strategy combining single-cell RNA-sequencing with flow cytometry and functional assays to perform a complete analysis of the immune environment in the aged regenerating skeletal muscle, with time and single cell resolution. Our results identified previously undescribed immune cell types in the skeletal muscle and revealed an unanticipated complexity and functional heterogeneity in immune populations, that have been regarded as homogeneous. Furthermore, we uncovered a profound remodeling of both myeloid and lymphoid compartments in aging. These discoveries challenge established notions on immune regulation of skeletal muscle regeneration, providing a new set of potential targets to improve skeletal muscle health and regenerative capacity in aging.

cell biology↗

High prevalence and dependence of centrosome clustering in mesenchymal tumors and leukemia

The presence of supernumerary centrosomes is a hallmark of cancer and is frequently observed in aggressive tumors. Cancer cells with centrosome amplification achieve pseudo-bipolar spindles through specific coping mechanisms in order to survive. However, their distribution and prevalence in cancer remain largely unknown. Here, using the NCI60 panel of cancer cell lines, we show that the presence of coping strategies correlates with centrosome amplification, with the clustering of extra-centrosomes within the two spindle poles being the most widespread mechanism. Moreover, we report an association between centrosome clustering ability and the epithelial-to-mesenchymal transition (EMT) and observe that the induction of mesenchymal characteristics in breast cancer cells with centrosome amplification promotes clustering. Furthermore, we unveil hematological malignancies, which lack epithelial characteristics, as the most proficient in centrosome clustering. Finally, we show that acute lymphoblastic leukemia is particularly sensitive to targeting clustering through inhibition of the spindle assembly checkpoint. Our study reveals how centrosome clustering and the EMT collaborate to promote carcinogenesis, suggesting new possibilities to treat tumors with low epithelial characteristics, in particular leukemias. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=74 SRC="FIGDIR/small/532472v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@12a713dorg.highwire.dtl.DTLVardef@1706edborg.highwire.dtl.DTLVardef@7deea7org.highwire.dtl.DTLVardef@1bf2280_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LICentrosome clustering is widespread in the NCI60 panel and particularly strong in leukemia. C_LIO_LIThe EMT enhances the ability of cancer cells to cope with multiple centrosomes through centrosome clustering. C_LIO_LICentrosome clustering gene expression peaks at the invasive stage and has prognostic value in breast cancer. C_LIO_LIThe inhibition of MPS1 is a good strategy to promote the death of acute lymphoblastic leukemia (ALL) cells with CA. C_LI

cancer biology↗

betAS: intuitive analysis and visualisation of differential alternative splicing using beta distributions

Next generation RNA sequencing allows alternative splicing (AS) quantification with unprecedented resolution, with the relative inclusion of an alternative sequence in transcripts being commonly quantified by the proportion of reads supporting it as percent spliced-in (PSI). However, PSI values do not incorporate information about precision, proportional to the respective AS events read coverage. Beta distributions are suitable to quantify inclusion levels of alternative sequences, using reads supporting their inclusion and exclusion as surrogates for the two distribution shape parameters. Each such beta distribution has the PSI as its mean value and is narrower when the read coverage is higher, facilitating the interpretability of its precision when plotted. We herein introduce a computational pipeline, based on beta distributions accurately modelling PSI values and their precision, to quantitatively and visually compare AS between groups of samples. Our methodology includes a differential splicing significance metric that compromises the magnitude of inter-group differences, the estimation uncertainty in individual samples, and the intra-group variability, being therefore suitable to multiple-group comparisons. To make our approach accessible and clear to both non-computational and computational biologists, we developed betAS, an interactive web app and user-friendly R package for visual and intuitive differential splicing analysis from read count data.

bioinformatics↗

voyAGEr: free web interface for the analysis of age-related gene expression alterations in human tissues

We herein introduce voyAGEr, an online graphical interface to explore age-related gene expression alterations in 49 human tissues. voyAGEr offers a visualisation and statistical toolkit for the finding and functional exploration of sex- and tissue-specific transcriptomic changes with age. In its conception, we developed a novel bioinformatics pipeline leveraging RNA sequencing data, from the GTEx project, encompassing more than 900 individuals. voyAGEr reveals transcriptomic signatures of the known asynchronous ageing between tissues, allowing the observation of tissue-specific age-periods of major transcriptional changes, associated with alterations in different biological pathways, cellular composition, and disease conditions. Notably, voyAGEr was created to assist researchers with no expertise in bioinformatics, providing a supportive framework for elaborating, testing and refining their hypotheses on the molecular nature of human ageing and its association with pathologies, thereby also aiding in the discovery of novel therapeutic targets. voyAGEr is freely available at https://compbio.imm.medicina.ulisboa.pt/app/voyAGEr.

bioinformatics↗

The Splicing Factor XAB2 interacts with ERCC1-XPF and XPG for RNA-loop processing during mammalian development

RNA splicing, transcription and the DNA damage response are intriguingly linked in mammals but the underlying mechanisms remain poorly understood. Using an in vivo biotinylation tagging approach in mice, we show that the splicing factor XAB2 interacts with the core spliceosome and that it binds to spliceosomal U4 and U6 snRNAs and pre-mRNAs in developing livers. XAB2 depletion leads to aberrant intron retention, R-loop formation and DNA damage in cells. Studies in illudin S-treated cells and Csbm/m developing livers reveal that transcription-blocking DNA lesions trigger the release of XAB2 from all RNA targets tested. Immunoprecipitation studies reveal that XAB2 interacts with ERCC1-XPF and XPG endonucleases outside nucleotide excision repair and that the trimeric protein complex binds RNA:DNA hybrids under conditions that favor the formation of R-loops. Thus, XAB2 functionally links the spliceosomal response to DNA damage with R-loop processing with important ramifications for mammalian development and transcription-coupled DNA repair disorders.

genetics↗

Androgen-regulated transcription of ESRP2 drives alternative splicing patterns in prostate cancer

Prostate is the most frequent cancer in men. Prostate cancer progression is driven by androgen steroid hormones, and delayed by androgen deprivation therapy (ADT). Androgens control transcription by stimulating androgen receptor (AR) activity, yet also control pre-mRNA splicing through less clear mechanisms. Here we find androgens regulate splicing through AR-mediated transcriptional control of the epithelial-specific splicing regulator ESRP2. Both ESRP2 and its close paralog ESRP1 are highly expressed in primary prostate cancer. Androgen stimulation induces splicing switches in many endogenous ESRP2-controlled mRNA isoforms, including a key splicing switch in the metastatic regulator FLNB which is associated with disease relapse. ESRP2 expression in clinical prostate cancer is repressed by ADT, which may thus inadvertently dampen epithelial splice programmes. Supporting this, FLNB splicing was reciprocally switched by the AR antagonist bicalutamide (Casodex(R)). Our data reveal a new mechanism of splicing control in prostate cancer with important implications for metastatic disease progression.\n\nKey pointsO_LITranscriptional regulation of ESRP2 by the androgen receptor controls splice isoform patterns in prostate cancer cells.\nC_LIO_LISplicing switches regulated by the androgen-ESRP2 axis include a splice isoform in the FLNB gene that is a known metastatic driver.\nC_LIO_LIBoth ESRP1 and ESRP2 are highly expressed in prostate cancer tissue.\nC_LIO_LIEctopic expression of ESRP1 and 2 inhibits prostate cancer cell growth.\nC_LIO_LIBy repressing ESRP2 expression androgen deprivation therapy (ADT) may dampen epithelial splicing programmes to inadvertently prime disease progression towards metastasis.\nC_LI

molecular biology↗

psichomics: graphical application for alternative splicing quantification and analysis

Alternative pre-mRNA splicing generates functionally distinct transcripts from the same gene and is involved in the control of multiple cellular processes, with its dysregulation being associated with a variety of pathologies. The advent of next-generation sequencing has enabled global studies of alternative splicing in different physiological and disease contexts. However, current bioinformatics tools for alternative splicing analysis from RNA-seq data are not user-friendly, disregard available exon-exon junction quantification or have limited downstream analysis features. To overcome such limitations, we have developed psichomics, an R package with an intuitive graphical interface for alternative splicing quantification and downstream dimensionality reduction, differential splicing and gene expression and survival analyses based on The Cancer Genome Atlas, the Genotype-Tissue Expression project and user-provided data. These integrative analyses can also incorporate clinical and molecular sample-associated features. We successfully used psichomics to reveal alternative splicing signatures specific to stage I breast cancer and associated novel putative prognostic factors.

bioinformatics↗