Biology subjects

Pellegrini, M.

Publications and source records attributed to Pellegrini, M..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Multi-tissue transcriptomic aging atlas reveals predictive aging biomarkers in the killifish

Aging is associated with progressive tissue dysfunction, leading to frailty and mortality. Characterizing aging features, such as changes in gene expression and dynamics, shared across tissues or specific to each tissue, is crucial for understanding systemic and local factors contributing to the aging process. We performed RNA-sequencing on 13 tissues at 6 different ages in the African turquoise killifish, the shortest-lived vertebrate that can be raised in captivity. This comprehensive, sex-balanced atlas dataset reveals the varying strength of sex-age interactions across killifish tissues and identifies age-altered biological pathways that are evolutionarily conserved. Demonstrating the utility of this resource, we discovered that the killifish head kidney exhibits a myeloid bias during aging, a phenomenon more pronounced in females than in males. In addition, we developed tissue-specific transcriptomic clocks and identified biomarkers predictive of chronological age. We show the importance of sex-specific clocks for selected tissues and use the tissue clocks to evaluate a dietary intervention in the killifish. Our work provides a comprehensive resource for studying aging dynamics across tissues in the killifish, a powerful vertebrate aging model.

genomics↗

bioRxiv2024

BSReadSim: a versatile and efficient simulator to generate realistic bisulfite sequencing reads

Realistic bisulfite sequencing simulators are crucial for advancing method development in computational epigenetics. However, existing tools often fall short due to oversimplified generative models that fail to capture the complexity of real data. We present BSReadSim, an efficient and versatile simulator that generatesrealistic bisulfite sequencing reads. BSReadSim excels in integrating reference genetic variants and methylation profiles, offering unmatched versatility across multiple sequencing technologies, including WGBS, RRBS, and TBS. By accurately modeling methylation patterns, sampling biases, sequencing errors, and leveraging optimized implementation, BSReadSim efficiently generates realistic synthetic datasets tailored to specific experimental needs while maintaining computational feasibility. By enhancing the realism and flexibility of bisulfite sequencing simulations, BSReadSim supports improved experiment design, method development, and benchmarking of computational tools, ultimately advancing the reliability and rigor of DNA methylation analysis tools.

bioinformatics↗

bioRxiv2024

An epigenetic clock for Xenopus tropicalis reveals age-associated sites enriched in H4K20me3-marked heterochromatin

DNA methylation clocks have been widely used for accurate age prediction, but most studies have been carried out on mammals. Here we present a clock for the aquatic frog Xenopus tropicalis, a widely used model organism in developmental biology and genomics. The clock, trained on targeted bisulfite sequencing data, achieved a cross-validation median absolute error of 0.70 years. To construct the clock, we collected DNA methylation data from 192 frogs at genomic regions containing CpG sites previously shown to have age-associated methylation in Xenopus. We found that CpG sites with methylation levels significantly increasing or decreasing with age are enriched in heterochromatic regions marked with H4K20me3 and H3K9me3. CpG sites with positively age-associated methylation levels are enriched in bivalent chromatin and gene bodies with H3K36me3, and tend to be proximal to lowly expressed genes. These epigenetic features of aging are similar to those found in mammals, suggesting evolutionary conservation of epigenetic aging mechanisms. Our clock enables future aging biology experiments that leverage the unique properties of amphibians.

genomics↗

bioRxiv2024

Fractional Calculus in Epigenetics

DNA methylation, a pivotal epigenetic modification, plays a critical role in regulating gene expression. Understanding its dynamics with age is essential for elucidating ageing processes and developing biomarkers. This short note presents a theoretical framework for modelling DNA methylation dynamics using a fractional calculus approach, extending standard exponential models to accommodate the complex, heterogeneous nature of methylation changes over time. The fractional-calculus representation of the methylation process, described by the fractional-order differential equation and its solution based on the Mittag-Leffler function, not only provides better results in the sense of R2, RMSE, and MSE criteria but also offers a more general model, where the standard exponential model is only one special case.

biophysics↗

bioRxiv2024

Systematic dissection of epigenetic age acceleration in normal breast tissue reveals its link to estrogen signaling and cancer risk

Breast aging encompasses intricate molecular and cellular changes that elevate cancer risk. Our study profiled DNA methylation and gene expression of 181 normal breast samples and systematically evaluated eight epigenetic clocks. We found that clocks trained using breast tissues demonstrate improved age prediction in normal breast tissue, and bias universally exists in epigenetic clocks, necessitating a proper definition of age acceleration. Cell composition analysis revealed significant age-related alterations and highlighted its distinct associations with age acceleration, including increased luminal epithelial and myoepithelial cells and reduced adipocytes and immune cells, connecting age acceleration to carcinogenesis from a cell compositional perspective. Additionally, CpG sites associated with age acceleration were enriched for estrogen receptor binding sites, providing a mechanistic link between estrogen exposure, accelerated aging, and cancer. These findings highlight the importance of cellular heterogeneity in epigenetic age estimates and the potential of age acceleration to guide for risk stratification and prevention strategies.

bioinformatics↗

bioRxiv2024

MicroBayesAge: A Maximum Likelihood Approach to Predict Epigenetic Age Using Microarray Data

Certain epigenetic modifications, such as the methylation of CpG sites, can serve as biomarkers for chronological age. Previously, we introduced our BayesAge frameworks for accurate age prediction through the use of locally weighted scatterplot smoothing (LOWESS) to capture the non-linear relationship between methylation or gene expression and age, and Maximum Likelihood Estimation (MLE) for bulk bisulfite and RNA sequencing data. Here we now introduce MicroBayesAge, a framework that enhances prediction accuracy by subdividing input data into age-specific co-horts and employing a new two-stage process for training and testing. Age prediction for younger patients was significantly improved. MicroBayesAge also exhibited minimal bias in its age predictions. Additionally, we explored the performance of our model for sex-specific age prediction which revealed slight improvements in accuracy for male patients, while no changes were observed for female patients. MicroBayesAge provides more accurate age predictions by accounting for variations in epigenetic markers of aging among different subgroups, which have been over-looked by commonly used models.

bioinformatics↗

bioRxiv2024

BayesAge 2.0: A Maximum Likelihood Algorithm To Predict Transcriptomic Age

Aging is a complex biological process influenced by various factors, including genetic and environmental influences. In this study, we present BayesAge 2.0, an improved version of our maximum likelihood algorithm designed for predicting transcriptomic age (tAge) from RNA-seq data. Building on the original BayesAge framework, which was developed for epigenetic age prediction, BayesAge 2.0 integrates a Poisson distribution to model count-based gene expression data and employs LOWESS smoothing to capture non-linear gene-age relationships. BayesAge 2.0 provides significant improvements over traditional linear models, such as Elastic Net regression. Specifically, it addresses issues of age bias in predictions, with minimal age-associated bias observed in residuals. Its computational efficiency further distinguishes it from traditional models, as reference construction and cross-validation are completed more quickly compared to Elastic Net regression, which requires extensive hyperparameter tuning. Overall, BayesAge 2.0 represents a notable advance in transcriptomic age prediction, offering a robust, accurate, and efficient tool for aging research and biomarker development.

bioinformatics↗

bioRxiv2024

The structure of a NEMO construct engineered for screening reveals novel determinants of inhibition

NEMO is an essential component in the activation of the canonical NF-{kappa}B pathway and exerts its function by recruiting the I{kappa}B kinases (IKK) to the IKK complex. Inhibition of the NEMO/IKKs interaction is an attractive therapeutic paradigm for diseases related to NF-{kappa}B mis-regulation, but a difficult endeavor because of the extensive protein-protein interface. Here we report the design and characterization of novel engineered constructs of the IKK-binding domain of NEMO, programmed to render this difficult protein domain amenable to NMR and X-ray characterization, while preserving the biological function. ZipNEMO binds IKK{beta} with nanomolar affinity, is amenable to heteronuclear NMR techniques and structure determination by X-ray crystallography. We show that NMR spectra of zipNEMO allow to detect inhibitor binding in solution and resonance assignment. The X-ray structure of zipNEMO highlights a novel ligand binding motif and the adaptability of the binding pocket and inspired the design of new peptide inhibitors.

biophysics↗

bioRxiv2024

Transient inhibition of type I interferon enhances CD8+ T cell stemness and vaccine protection

Developing vaccines that promote CD8+ T cell memory is a challenge for infectious disease and cancer immunotherapy. TCF-1+ stem cell-like memory T (TSCM) cells are important determinants of long-lived memory. Yet, the developmental requirements for TSCM formation are unclear. Here, we identify the temporal window for type I interferon (IFN-I) receptor (IFNAR) blockade to drive TSCM cell generation. TSCM cells were transcriptionally distinct and emerged from a transitional precursor of exhausted (TPEX) cellular state concomitant with viral clearance. TSCM differentiation correlated with T cell retention within the lymph node paracortex, due to increased CXCR3 chemokine abundance which disrupted gradient formation. These affects were due a counterintuitive increase in IFN{psi}, which controlled cell location. Combining IFNAR inhibition with mRNA-LNP vaccination promoted specific TSCM differentiation and enhanced protection against chronic infection. These finding propose a new approach to vaccine design whereby modulation of inflammation promotes memory formation and function. HIGHLIGHTSO_LIEarly, transient inhibition of the type I interferon (IFN) receptor (IFNAR) during acute viral infection promotes stem cell-like memory T (TSCM) cell differentiation without establishing chronic infection. C_LIO_LITSCM and precursor of exhausted (TPEX) cellular states are distinguished transcriptionally and by cell surface markers. C_LIO_LIDevelopmentally, TSCM cell differentiation occurs via a transition from a TPEX state coinciding with viral clearance. C_LIO_LITransient IFNAR blockade increases IFN{psi} production to modulate the ligands of CXCR3 and couple TSCM differentiation to cell retention within the T cell paracortex of the lymph node. C_LIO_LISpecific promotion of TSCM cell differentiation with nucleoside-modified mRNA-LNP vaccination elicits enhanced protection against chronic viral challenge. C_LI

immunology↗

bioRxiv2024

Genome-wide DNA Methylation Patterns in Daphnia magna Reveal Targeting to 5' Exons

Studying DNA methylation in Daphnia magna, a model organism in ecological and evolutionary research, offers valuable insights into pharmaceutical toxicity and behavioral ethology. In this study, we characterized DNA methyltransferases and mapped DNA methylation across the D. magna genome using whole-genome bisulfite sequencing. Our analysis revealed a highly expressed, nonfunctional de novo methyltransferase (DNMT3.1) alongside lowly expressed functional de novo methyltransferase DNMT3.2 and maintenance methyltransferase DNMT1. D. magna displays overall low DNA methylation, targeting primarily CpG dinucleotides. Methylation is sparse at promoters but elevated in the first exons downstream of transcription start sites, with these exons showing hypermethylation relative to adjacent introns. In contrast to prior studies, we observed minimal age-related changes in DNA methylation patterns that were not sufficiently robust to build an accurate epigenetic clock. These findings expand our understanding of the epigenetic landscape in D. magna.

systems biology↗

bioRxiv2024

Genetic and anatomical determinants of olfaction in dogs and wild canids

Understanding the anatomical and genetic basis of complex phenotypic traits has long been a challenge for biological research. Domestic dogs offer a compelling model as they demonstrate more phenotypic variation than any other vertebrate species. Dogs have been intensely selected for specific traits and abilities, directly or indirectly, over the past 15,000 years since their initial domestication from the gray wolf. Because olfaction plays a central role in critical tasks, such as the detection of drugs, diseases, and explosives, as well as human rescue, we compared relative olfactory capacity across dog breeds and assessed changes to the canine olfactory system resulting from domestication. We conducted a cross-disciplinary survey of olfactory anatomy, olfactory receptor (OR) gene variation, and OR gene expression in domestic dogs. Through comparisons to their closest wild canid relatives, the gray wolf and coyote, we show that domestic dogs might have lost functional OR genes commensurate with a documented reduction in nasal morphology during domestication. Critically, within domestic dogs alone, we found no genetic or morphological profile shared among functional or genealogical breed groupings, such as scent hounds, that might indicate evidence of any human-directed selection for enhanced olfaction. Instead, our results suggest that superior scent detection dogs likely owe their success to advantageous behavioral traits and training rather than an "olfactory edge" provided by morphology or genes.

evolutionary biology↗

bioRxiv2024

Dysfunctional β-cell longevity in diabetes relies on high energy conservation and positive epistasis

Long-lived PFKFB3 expressing {beta}-cells are dysfunctional cells because of prevailing glycolysis that compromises metabolic coupling of insulin secretion. Their accumulation in type-2 diabetes (T2D) appears to be related to the loss of apoptotic competency of cell fitness competition (CFC) that maintains tissue function by favoring constant selection of healthy "winner" cells. To investigate how PFKFB3 can disguise the competitive traits of dysfunctional "loser" {beta}-cells, we analyzed the overlap between human {beta}-cells with bona-fide "loser signature" across diabetes pathologies utilizing the HPAP scRNA-seq and spatial transcriptomics of PFKFB3 positive {beta}-cells from nPOD T2D pancreata. The overlapping transcriptional profile of "loser" {beta}-cells was represented by downregulated ribosomal biogenesis- and genes encoding for mitochondrial respiration. PFKFB3 positive "loser" {beta}-cells had reduced expression of HLA Class I and II genes. Gene-gene interaction analysis revealed that PFKFB3 rs1983890 can interact with anti-apoptotic gene MAIP1 implicating positive epistasis as a mechanism for prolonged survival of "loser" {beta}-cells in T2D. Inhibition of PFKFB3 resulted in the clearance of dysfunctional "loser" {beta}-cells leading to restored glucose tolerance in mouse model of T2D.

cell biology↗

bioRxiv2023

BayesAge: A Maximum Likelihood Algorithm To Predict Epigenetic Age

DNA methylation is a reaction that results in the formation of 5-methylcytosine when a methyl group is added to the cytosines C5 position. As organisms age, DNA methylation patterns change in a reproducible fashion. This phenomenon has established DNA methylation as a valuable biomarker in aging studies. Epigenetic clocks based on weighted combinations of methylation sites have been developed to accurately predict the age of an individual from their methylome. However, many epigenetic clocks, particularly those that utilize penalized regression, model the changes in methylation linearly with age. Moreover, these models, which use methylation levels as features, are not robust to missing data and do not account the count-based nature of bisulfite sequence data. Additionally, the models are generally not interpretable. To overcome these challenges, we present BayesAge, an extension of the previously developed scAge approach that was developed for the analysis of single cell DNA methylation datasets. BayesAge utilizes maximum likelihood estimation (MLE) to infer ages, models count data using binomial distributions, and uses LOWESS smoothing to capture the non-linear dynamics between methylation and age. Our approach is designed for use with bulk bisulfite sequencing datasets. BayesAge outperforms scAge in several respects. Specifically, BayesAges age residuals are not age associated, thus providing a less biased representation of epigenetic age variation across populations. Moreover, BayesAge enables the estimation of error bounds on age inference and, when run on down-sampled data, its coefficient of determination between predicted and actual ages surpasses both scAge and penalized regression.

bioinformatics↗

bioRxiv2023

Defects in AMPAR trafficking and microglia activation underlie socio-cognitive deficits associated to decreased expression of Phosphodiesterase 2A

Phosphodiesterase 2A (PDE2A) is an enzyme involved in the homeostasis of cAMP and cGMP and is the most highly expressed PDE in human brain regions critical for socio-cognitive behavior. In cortex and hippocampus, PDE2A expression level is upregulated in Fmr1-KO mice, a model of the Fragile X Syndrome (FXS), the most common form of inherited intellectual disability (ID) and autism spectrum disorder (ASD). Indeed, PDE2A translation is negatively modulated by FMRP, whose functional absence causes FXS. While the pharmacological inhibition of PDE2A has been associated to its pro-cognitive role in normal animals and in models of ID and ASD, homozygous PDE2A mutations have been identified in patients affected by ID, ASD and epilepsy. To clarify this apparent paradox about the role of PDE2A in brain development, we characterized here Pde2a+/- mice (homozygote animals being not viable) at the behavioral, cellular, molecular and electrophysiological levels. Pde2a+/- females display a milder form of the disorder with reduced cognitive performance in adulthood, conversely males show severe socio-cognitive deficits throughout their life. In males, these phenotypes are associated with microglia activation, elevated glutathione levels and increased externalization of GluR1 in CA1, producing reduced mGluR-dependent LTD. Overall, our results reveal molecular targets of the PDE2A-dependent pathway underlying socio-cognitive performance. These results clarify the mechanism of action of pro-cognitive drugs based on PDE2A inactivation, which have been shown to be promising therapeutic approaches for Alzheimer Disease, schizophrenia, FXS as well as other forms of ASD.

animal behavior and cognition↗

bioRxiv2023

Rtf1-dependent transcriptional pausing regulates cardiogenesis

Transcriptional pause-release critically regulates cellular RNA biogenesis, yet how dysregulation of this process impacts embryonic development is not fully understood. Rtf1 is a multifunctional transcription regulatory protein involved in modulating promoter-proximal pausing of RNA polymerase II. Using zebrafish and mouse as model systems, we show that Rtf1 activity is essential for the differentiation of the myocardial lineage from mesoderm. Ablation of rtf1 impairs the formation of nkx2.5+/tbx5a+ cardiac progenitor cells, resulting in the development of embryos without cardiomyocytes. Structure-function analysis demonstrates that Rtf1s cardiogenic activity requires its Plus3 domain, which confers interaction with the pausing/elongation factor Spt5. In Rtf1-deficient embryos, the occupancy of RNA Pol II at transcription start sites was reduced relative to downstream occupancy, suggesting a reduction in transcriptional pausing. Intriguingly, attenuating pause release by pharmacological inhibition or morpholino targeting of CDK9 improved RNA polymerase II occupancy at the transcription start sites of key cardiac genes and restored cardiomyocytes in Rtf1-deficient embryos. Thus, our findings demonstrate the crucial role that Rtf1-mediated transcriptional pausing plays in controlling the precise spatio-temporal transcription programs that govern early heart development.

developmental biology↗

bioRxiv2023

mRNA vaccines encoding membrane-anchored receptor-binding domains of SARS-CoV-2 mutants induce strong humoral responses and can overcome immune imprinting

To address the limitations of whole-spike COVID vaccines, we explored mRNA vaccines encoding membrane-anchored receptor-binding domain (RBD-TMs), each a fusion of a variant RBD, the transmembrane (TM) and cytoplasmic tail (CT) fragments of the SARS-CoV-2 spike protein. In naive mice, RBD-TM mRNA vaccines against ancestral SARS-CoV-2, Beta, Delta, Delta-plus, Kappa, Omicron BA.1 or BA.5, all induced strong humoral responses against the target RBD. Multiplex surrogate viral neutralization (sVNT) assays indicated broad neutralizing activity against a range of variant RBDs. In the setting of a heterologous boost, against the background of exposure to ancestral whole spike vaccines, sVNT studies suggested that RBD-TM vaccines were able to overcome the detrimental effects of immune imprinting. Omicron BA.1 and BA.5 RBD-TM booster vaccines induced serum antibodies with 12 and 22-fold higher neutralizing activity against the target RBD than their equivalent whole spike variants. Boosting with BA.1 or BA.5 RBD-TM provided good protection against more recent variants including XBB and XBB.1.5. Each RBD-TM mRNA is 28% of the length of its whole-spike equivalent. This advantage will enable tetravalent mRNA vaccines to be developed at well-tolerated doses of formulated mRNA. One Sentence SummarymRNA vaccines encoding membrane-anchored RBDs of SARS-CoV-2 mutants are effective vaccines that can overcome immune imprinting in mice

immunology↗

bioRxiv2023

IL-1B-mediated inflammatory signaling drives ineffective erythropoiesis in early-stage myelodysplastic syndromes

Myelodysplastic syndromes (MDS) are a group of incurable hematopoietic stem cell (HSC) neoplasms characterized by peripheral blood cytopenias and a high risk of progression to acute myeloid leukemia. MDS represent the final stage in a continuum of HSCs genetic and functional alterations and are preceded by a premalignant phase, clonal cytopenia of undetermined significance (CCUS). Dissecting the mechanisms of CCUS maintenance may uncover therapeutic targets to delay or prevent malignant transformation. Here, we demonstrate that DNMT3A and TET2 mutations, the most frequent mutations in CCUS, induce aberrant HSCs differentiation towards the myeloid lineage at the expense of erythropoiesis by upregulating IL-1{beta}-mediated inflammatory signaling and that canakinumab rescues red blood cell transfusion dependence in early-stage MDS patients with driver mutations in DNMT3A and TET2. This study illuminates the biological landscape of CCUS and offers an unprecedented opportunity for MDS intervention during its initial phase, when expected survival is prolonged.

cancer biology↗

bioRxiv2023

KLF7 is a general inducer of human pluripotency

Pluripotency is the capacity to give rise to all differentiated cells of the body and the germ line and is governed by a self-reinforcing network of transcription factors. The forced expression of only some of these factors enables the reprogramming of somatic cells to pluripotency. In murine cells, several kruppel-like factors (KLFs) have been identified as stabilisers and inducers of pluripotency. Human somatic cells are routinely reprogrammed by expression of KLF4 in combination with OCT4, SOX2 and cMYC (OSKM). An extensive transcriptome analysis revealed, however, that KLF4 is barely expressed in conventional human pluripotent stem cells (PSCs). Here we show that KLF7 is robustly expressed in conventional human PSCs and it allows transcription factor-mediated somatic reprogramming. Moreover, we find that KLF7 is highly expressed in naive PSCs and its forced expression in conventional hPSCs induces upregulation of naive markers and boosts efficiency of chemical resetting to naive PSCs, overall suggesting that KLF7 is a general human pluripotency factor and an inducer of pluripotency.

developmental biology↗