Biology subjects

Gasparoni, G.

Publications and source records attributed to Gasparoni, G..

17 recordsLinked to original sources

bioRxiv2026

Dynamic transcriptional remodeling in alcohol use disorder reveals immune dysregulation and adaptive shifts in coagulation during therapy

BackgroundChronic alcohol use disorder (AUD) is associated with profound dysregulation of immune function, neuroinflammation, and systemic stress responses, which contribute to both the maintenance of addiction and alcohol-related organ damage. While brain transcriptomic studies have established neuroimmune signaling and synaptic remodeling as central features of AUD, peripheral blood signatures during early withdrawal and recovery remain underexplored. Understanding the dynamic transcriptional changes in peripheral blood accompanying supervised withdrawal therapy is critical for identifying reversible molecular processes versus persistent trait-like alterations. MethodsRNA sequencing (RNA-seq) was performed on peripheral blood from individuals with alcohol use disorder (AUD, n = 100) and healthy controls (n = 74) at baseline and after three weeks of supervised withdrawal therapy. Differentially expressed genes (DEGs) were identified using linear mixed models assessing main effects of group, time, and their interaction. Functional enrichment and co-expression network analyses were performed to identify coordinated biological processes. ResultsAt baseline, more than 1,000 genes were differentially expressed between AUD and control participants, showing robust dysregulation of immune-related pathways. After three weeks of withdrawal, the number of DEGs decreased markedly to 141, indicating partial transcriptomic normalization. Nevertheless, immune dysregulation persisted despite treatment, particularly linked to B cell activation and cell-cell junctions. Interaction analyses (group x time) identified 16 genes whose expression dynamically changed with therapy, highlighting strong enrichment for fatty acid pathways. Co-expression network analysis revealed that baseline modules were enriched for genes associated with secretory granules and immune signaling, while therapy-related co-expression shifts involved coagulation and platelet activation processes. ConclusionsAUD is associated with widespread but partly reversible transcriptomic dysregulation in peripheral blood. These findings support a system-level view of AUD as a disorder of intertwined immune, metabolic, and coagulation biology and suggest that longitudinal blood transcriptomics may help identify both rapidly therapy-responsive and more stable molecular targets for relapse prevention.

molecular biology↗

bioRxiv2026

MethylBench: A comprehensive benchmark of DNA methylation profiling methods across diverse sequencing platforms

BackgroundDNA methylation can be profiled using multiple technologies that vary in resolution, coverage and cost. Prior benchmarking efforts have laid important groundwork, yet critical gaps remain. The SEQC2 EpiQC study[14] provided a multi-platform QC framework across whole-genome bisulfite sequencing (WGBS), oxidative bisulfite sequencing, enzymatic deamination, ONT and Illumina 850k arrays, showing high overall concordance but limited replication and no coverage of current enzymatic conversion, hybridization-based panels or modern long-read chemistries. More recently, Sigurpalsdottir et al.[40] systematically compared methylation detection tools within the long-read domain, demonstrating high ONT accuracy relative to oxidative bisulfite sequencing, but restricted their analysis to ONT and PacBio, excluding short-read, targeted-panel and array-based platforms as well as the biological interpretability of differential methylation across platform classes. A comprehensive cross-platform benchmark addressing coverage heterogeneity and annotation redundancy in the interpretation of differentially methylated cytosines thus remains absent. MethodsWe compared six widely used technologies - Illumina EPIC array, TWIST, Whole-Genome Enzymatic Conversion (WGEC), Reduced Representation Bisulfite Sequencing (RRBS), Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) - using GIAB reference samples and ten blood/fibroblast samples from 5 individuals. We assessed CpG coverage, consistency of differentially methylated cytosine (DMC) detection, and genomic annotation, with particular attention to overlapping signals across assays. ResultsDespite major assay differences, all technologies consistently identified DMCs enriched in promoter and intronic regions, marking these as robust hotspots of epigenetic variability. Annotation redundancy strongly shaped initial interpretations, with CpG island-related categories largely disappearing once annotations were collapsed to unique features. Sequencing-based methods (WGEC, TWIST, ONT) achieved the most comprehensive coverage, while EPIC arrays reliably captured promoter-associated differences despite limited scope. ONT showed strong concordance with short-read methods after coverage filtering, but required higher, more uniform coverage for reproducible CpG-level agreement. PacBio showed a coverage-independent discrepancy, with concordance plateauing regardless of mean coverage - pointing to residual technology-specific bias rather than a simple coverage effect. ConclusionsCross-platform benchmarking yields coherent biological insights once coverage and annotation redundancies are addressed. EPIC arrays remain valuable for promoter-focused cohort studies, WGEC and TWIST enable genome-wide discovery and ONT offers unique phasing and multimodal potential - together guiding method selection and more robust interpretation of DNA methylation data.

genomics↗

bioRxiv2026

Mitochondrial protein import stress causes progressive neurodegeneration opposed by PERK - eIF2α signalling

Mitochondrial dysfunction and impairments of the mitochondrial protein import system are often linked to neurodegenerative disease, but whether import stress per se causes neurodegeneration has not been tested. Here, we adapted the yeast clogger system to Drosophila motoneurons to block TOM-TIM23-mediated import with temporal control. Sustained import stress converts somatic mitochondria into donut-shaped structures, depletes functional mitochondria from synaptic terminals, and causes progressive neurodegeneration with impaired neurotransmitter release and locomotor dysfunction. This neurodegeneration is mechanistically distinct from mitochondrial absence, as miro mutant neurons that completely lack presynaptic mitochondria do not degenerate. Import-stressed motoneurons activate multiple protective programmes, including chaperone remodelling, metabolic repression, and translational control through the eIF2 kinase PERK. Both pharmacological PERK inhibition and reversal of translational attenuation via ISRIB accelerate neurodegeneration, whereas PERK overexpression alone is sufficient to cause it, defining a protective range of eIF2-dependent translational control. The observation that PERK inhibition is protective in protein misfolding models but detrimental during import stress shows that the nature of mitochondrial dysfunction determines the molecular consequence of translational control in neurodegeneration.

neuroscience↗

bioRxiv2025

Increasing TET expression and 5-hydroxymethylcytosine formation by a carbocyclic 5-aza-2'-deoxy-cytidine antimetabolite

Ten-eleven translocation (TET) enzymes are critical epigenetic regulators, which oxidize the methylated cytosine nucleobase 5-methyl-dC (5mdC) in the genome to 5-hydroxymethyl-dC (5hmdC) in an -ketoglutarate-dependent manner. Because the presence of 5mdC in the promoter region of a given gene silences its expression, this oxidation goes in hand with the reactivation of such silenced genes. In different highly aggressive cancers such as acute myeloid leukemia (AML) and glioblastoma, loss of TET enzyme function and therefore reduced 5hmdC levels pave the way for tumor development. Impairment of TET activity can occur through metabolic inhibition, through loss-of-function mutations in TET genes themselves, and finally through suppression of TET-expression via epigenetic silencing. Reactivation of TET enzyme expression represents a major aim of epigenetic cancer therapy. Here we show that the carbocyclic antimetabolite 5-aza-2deoxycytidine (cAzadC), which is supposed to suppress the methylation of DNA during replication, leads to a substantial increase of TET2 expression and strongly increasing 5hmdC levels. We show that the treatment with cAzadC goes in hand with the broad reactivation of the cellular anti-tumor responses. With patient-derived xenograft AML-mouse models, we show that this translates into a strongly improved anti-cancer effect in vivo.

cancer biology↗

bioRxiv2025

Crosstalk between the Methyl-Cytosine Dioxygenase TET3 and the Methyl-CpG-binding protein MECP2 Controls Neuronal Maturation

Active DNA demethylation depends on Ten-Eleven-Translocation (TET) enzymes, which oxidize 5-methylcytosine (mC) to 5-hydroxymethylcytosine (hmC) and further derivatives. Mutations in TET3, encoding the predominant neuronal isoform, lead to Beck-Fahrner syndrome, a neurodevelopmental disorder. Using human iPSC-derived neurons, we show that TET3 is dispensable for neuronal specification but critical for subsequent maturation. Differentiating TET3-deficient neurons exhibit delayed transcriptional and proteomic transitions, altered synaptic signatures, and impaired network activity, indicating delayed functional maturation. Mechanistically, we identified an interaction between TET3 and the mC/hmC-binding protein MECP2, pathogenic variants of which cause Rett syndrome. MECP2 negatively regulates TET3 activity, as demonstrated in functional assays and by inverse hmC patterns in MECP2- and TET3-deficient neurons. Despite this, MECP2- and TET3-deficient neurons exhibit highly similar phenotypes later in differentiation. Our findings uncover a functional interplay between TET3 and MECP2 that coordinates DNA methylation and chromatin dynamics during neuronal maturation, suggesting a shared pathogenic mechanism in Beck-Fahrner and Rett syndromes.

neuroscience↗

bioRxiv2025

Gut miRNA regulates gut microbiome and Alzheimer pathology in App-knock-in mice

Alzheimers disease (AD) alters the gut microbiome. It remains unclear whether manipulation of miRNA could modulate the gut microbiome and AD pathologies. Depletion of gut miRNA in App-knock-in mice by conditional knockout of Dicer1 gene in intestinal epithelial cells: 1) decreased the absolute number and changed the composition of bacteria in both the gut and brain; 2) reduced cerebral A{beta} load by inhibiting {beta}-secretase activity and increasing the expression of LRP1 and ABCB1 at the blood-brain barrier; 3) increased Il-10 transcription and decreased the transcription of Ccl-2 gene, and that of Ndufa2 and Ndufa5 genes encoding mitochondrial respiratory enzymes in the brain; and 4) induced anxiety symptoms without affecting cognitive function in AD mice. Thus, manipulating miRNA in the gut can modify AD pathogenesis. Future studies should focus on identifying AD-specific miRNAs in the gut that can be therapeutically exploited (e.g. by oral administration) to prevent the progression of AD.

neuroscience↗

bioRxiv2024

Self-assembly of hybrid 3D cultures by integrating living and synthetic cells

Self-assembly, a fundamental property of living matter, drives the interconnected cellular organization of tissues. Synthetic cell models have been developed as bionic materials to mimic inherent cellular features such as self-assembly. Here, we leverage co-assembly of synthetic and natural cells to create hybrid living 3D cancer cultures. We screened synthetic cell models, including giant unilamellar vesicles, coacervates, microdroplet emulsions, proteinosomes, and colloidosomes, for their ability to form hybrid tumoroids. Our results identify the balance of inter- and extracellular adhesion and synthetic cell surface tension as key material properties driving successful co-assembly of hybrids. We further demonstrate that these synthetic cells can establish artificial tumor immune microenvironments (ART-TIMEs), mimicking immunogenic signals within tumoroids. Using the ART-TIME approach, we identify co-signaling mechanisms between PD-1 and CD2 as a driver in immune evasion of pancreatic ductal adenocarcinoma. Our findings demonstrate the 3D bottom-up self-assembly of hybrid cancer microenvironments to replace immune components with defined bionic materials, pushing the boundaries to functionally integrating living and non-living matter.

synthetic biology↗

bioRxiv2023

Age-associated changes in endothelial transcriptome and chromatin landscape correlate with elevated risk of hemorrhage

Intracerebral hemorrhage (ICH), a devastating form of stroke, is a leading global cause of human death and disability. The major risk factors for ICH include increasing age, hypertension and cerebral amyloid angiopathy. Despite high mortality and morbidity associated with ICH, the mechanisms leading to blood-brain barrier (BBB) dysfunction with age and development of hemorrhagic stroke is poorly understood. In the vasculature of the central nervous system, endothelial cells (ECs) constitute the core component of the BBB and provide a physical barrier due to tight junctions, adherens junctions, and basement membrane layers. In this study, we show in brains of mice that incidents of intracerebral bleeding increase with advancing age. After isolation of an enriched population of cerebral ECs, we studied gene expression in ECs isolated from murine brains of increasing ages of 2, 6, 12, 18, and 24 months. The study reveals agedependent dysregulation of 1388 genes in the ECs, including many involved in the maintenance of BBB and vascular integrity. Since epigenetic mechanisms regulate gene expression, we also investigated age-dependent changes at the levels of CpG methylation and accessible chromatin in cerebral ECs. Our study reveals correlations between age-dependent changes in chromatin structure and gene expression. We find significant age-dependent downregulation of the apelin receptor (Aplnr) gene along with an age-dependent reduction in chromatin accessibility of the promoter of this gene. Aplnr is known to play a crucial role in positive regulation of vasodilation and is implicated in vascular health. Interestingly, we also observe an age-dependent reduction in the protein expression levels of the apelin receptor in the brain, potentially implicating the apelin receptor to be critical for the increased risk of intracerebral hemorrhage with ageing.

molecular biology↗

bioRxiv2021

Identification of tissue-specific and common methylation quantitative trait loci in healthy individuals using MAGAR

BackgroundUnderstanding the influence of genetic variants on DNA methylation is fundamental for the interpretation of epigenomic data in the context of disease. There is a need for systematic approaches not only for determining methylation quantitative trait loci (methQTL) but also for discriminating general from cell-type-specific effects. ResultsHere, we present a two-step computational framework MAGAR, which fully supports identification of methQTLs from matched genotyping and DNA methylation data, and additionally the identification of quantitative cell-type-specific methQTL effects. In a pilot analysis, we apply MAGAR on data in four tissues (ileum, rectum, T-cells, B-cells) from healthy individuals and demonstrate the discrimination of common from cell-type-specific methQTLs. We experimentally validate both types of methQTLs in an independent dataset comprising additional cell types and tissues. Finally, we validate selected methQTLs (PON1, ZNF155, NRG2) by ultra-deep local sequencing. In line with previous reports, we find cell-type-specific methQTLs to be preferentially located in enhancer elements. ConclusionsOur analysis demonstrates that a systematic analysis of methQTLs provides important new insights on the influences of genetic variants to cell-type-specific epigenomic variation.

genetics↗

bioRxiv2020

Two Piwis with Ago-like functions silence somatic genes at the chromatin level

Most sRNA biogenesis mechanisms involve either RNAseIII cleavage or ping-pong amplification by different Piwi proteins harboring slicer activity. Here, we follow the question why the mechanism of transgene-induced silencing in the ciliate Paramecium needs both Dicer activity and two Ptiwi proteins. This pathway involves primary siRNAs produced from non-translatable transgenes and secondary siRNAs from endogenous remote loci. Our data does not indicate any signatures from ping-pong amplification but Dicer cleavage of long dsRNA. We show that Ptiwi13 and 14 have different preferences for primary and secondary siRNAs but do not load them mutually exclusive. Both Piwis enrich for antisense RNAs and Ptiwi14 loaded siRNAs show a 5'-U signature. Both Ptiwis show in addition a general preference for Uridine-rich sRNAs along the entire sRNA length. Our data indicates both Ptiwis and 2-O-methylation to contribute to strand selection of Dicer cleaved siRNAs. This unexpected function of two distinct vegetative Piwis extends the increasing knowledge of the diversity of Piwi functions in diverse silencing pathways. As both Ptiwis show differential subcellular localisation, Ptiwi13 in the cytoplasm and Ptiwi14 in the vegetative macronucleus, we conclude that cytosolic and nuclear silencing factors are necessary for efficient chromatin silencing.

genetics↗

bioRxiv2020

Meta-analysis of epigenome-wide association studies in Alzheime's disease highlights 220 differentially methylated loci across cortex

Epigenome-wide association studies of Alzheimers disease have highlighted neuropathology-associated DNA methylation differences, although existing studies have been limited in sample size and utilized different brain regions. Here, we combine data from six DNA methylomic studies of Alzheimers disease (N=1,453 unique individuals) to identify differential methylation associated with Braak stage in different brain regions and across cortex. We identify 236 CpGs in the prefrontal cortex, 95 CpGs in the temporal gyrus and ten CpGs in the entorhinal cortex at Bonferroni significance, with none in the cerebellum. Our cross-cortex meta-analysis (N=1,408 donors) identifies 220 CpGs associated with neuropathology, annotated to 121 genes, of which 84 genes have not been previously reported at this significance threshold. We have replicated our findings using two further DNA methylomic datasets consisting of a further > 600 unique donors. The meta-analysis summary statistics are available in our online data resource (www.epigenomicslab.com/ad-meta-analysis/).

genomics↗

bioRxiv2019

Unique and assay specific features of NOMe-, ATAC- and DNase I-seq data

Chromatin accessibility maps are important for the functional interpretation of the genome. Here, we systematically analysed assay specific differences between DNase I-Seq, ATAC-Seq and NOMe-Seq in a side by side experimental and bioinformatic setup. We observe that most prominent nucleosome depleted regions (NDRs, e.g. in promoters) are roboustly called by all three or at least two assays. However we also find a high proportion of assay specific NDRs that are often "called" by only one of the assays. We show evidence that these assay specific NDRs are indeed genuine open chromatin sites and contribute important information for accurate gene expression prediction. While technically ATAC-Seq and DNAse I-Seq provide a high NDR calling rate for relatively low sequencing costs in comparison to NOMe-Seq, NOMe-Seq singles out as it provides a multitude of information: it allows to not only detect NDRs but also endogenous DNA methylation, genome wide segmentation into heterochromatic A/B domains and local phasing of nucleosomes outside of NDRs. In summary our comparison strongly suggest to consider assay specific differences for the experimental desgin and for generalized and comparative functional interpretations.

genomics↗

bioRxiv2018

A cell-of-origin epigenetic tracer reveals clinically distinct subtypes of high grade serous ovarian cancer

High grade serous ovarian cancer (HGSOC) is a major unmet need in oncology. The persistent uncertainty on its originating tissue has contributed to hamper the discovery of oncogenic pathways and effective therapies. Here we define the DNA methylation print that distinguishes the human fimbrial (FI) and ovarian surface epithelia (OSE) and develop a robust epigenetic cell-of-origin tracer that stratifies HGSOC in FI-and OSE-originated tumors across all available cohorts. We translate this origin-based stratification into a clinically actionable transcriptomic signature, demonstrating its prognostic impact on patients survival and identifying novel network level dysregulations specific for the two disease subtypes.

cancer biology↗

bioRxiv2018

DNA methylation signatures of a large cohort monozygotic twins clinically discordant for multiple sclerosis

Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system with a modest concordance rate in monozygotic twins that strongly argues for involvement of epigenetic factors. We observe in 45 MS discordant monozygotic twins highly similar peripheral blood mononuclear cell-based methylomes. However, a few MS-associated differentially methylated positions (DMP) were identified and validated, including a region in the TMEM232 promoter and ZBTB16 enhancer. In CD4+ T cells we observed an MS-associated differentially methylated region in FIRRE. In addition, many regions showed large methylation differences in individual pairs, but were not clearly associated with MS. Furthermore, epigenetic biomarkers for current interferon-beta treatment were identified, and extensive validation revealed the ZBTB16 DMP as a signature of prior glucocorticoid treatment. Altogether, our study represents an important reference for epigenomic MS studies. It identifies new candidate epigenetic markers, highlights treatment effects and genetic background as major confounders, and argues against some previously reported MS-associated epigenetic candidates.

genomics↗

bioRxiv2018

Integrative analysis of single cell expression data reveals distinct regulatory states in bidirectional promoters

BackgroundBidirectional promoters (BPs) are prevalent in eukaryotic genomes. However, it is poorly understood how the cell integrates different epigenomic information, such as transcription factor (TF) binding and chromatin marks, to drive gene expression at BPs. Single cell sequencing technologies are revolutionizing the field of genome biology. Therefore, this study focuses on the integration of single cell RNA-seq data with bulk ChIP-seq and other epigenetics data, for which single cell technologies are not yet established, in the context of BPs.\n\nResultsWe performed integrative analyses of novel human single cell RNA-seq (scRNA-seq) data with bulk ChIP-seq and other epigenetics data. scRNA-seq data revealed distinct transcription states of BPs that were previously not recognized. We find associations between these transcription states to distinct patterns in structural gene features, DNA accessibility, histone modification, DNA methylation and TF binding profiles.\n\nConclusionsOur results suggest that a complex interplay of all of these elements is required to achieve BP-specific transcriptional output in this specialized promoter configuration. Further, our study implies that novel statistical methods can be developed to deconvolute masked subpopulations of cells measured with different bulk epigenomic assays using scRNA-seq data.

genomics↗

bioRxiv2016

normR: Regime enrichment calling for ChIP-seq data

ChIP-seq probes genome-wide localization of DNA-associated proteins. To mitigate technical biases ChIP-seq read densities are normalized to read densities obtained by a control. Our statistical framework \"normR\" achieves a sensitive normalization by accounting for the effect of putative protein-bound regions on the overall read statistics. Here, we demonstrate normRs suitability in three studies: (i) calling enrichment for high (H3K4me3) and low (H3K36me3) signal-to-ratio data; (ii) identifying two previously undescribed H3K27me3 and H3K9me3 heterochromatic regimes of broad and peak enrichment; and (iii) calling differential H3K4me3 or H3K27me3-enrichment between HepG2 hepatocarcinoma cells and primary human Hepatocytes. normR is readily available on http://bioconductor.org/packages/normr

bioinformatics↗

bioRxiv2016

Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction

The binding and contribution of transcription factors (TF) to cell specific gene expression is often deduced from open-chromatin measurements to avoid costly TF ChIP-seq assays. Thus, it is important to develop computational methods for accurate TF binding prediction in open-chromatin regions (OCRs). Here, we report a novel segmentation-based method, TEPIC, to predict TF binding by combining sets of OCRs with position weight matrices. TEPIC can be applied to various open-chromatin data, e.g. DNaseI-seq and NOMe-seq. Additionally, Histone-Marks (HMs) can be used to identify candidate TF binding sites. TEPIC computes TF affinities and uses open-chromatin/HM signal intensity as quantitative measures of TF binding strength. Using machine learning, we find low affinity binding sites to improve our ability to explain gene expression variability compared to the standard presence/absence classification of binding sites. Further, we show that both footprints and peaks capture essential TF binding events and lead to a good prediction performance. In our application, gene-based scores computed by TEPIC with one open-chromatin assay nearly reach the quality of several TF ChIP-seq datasets. Finally, these scores correctly predict known transcriptional regulators as illustrated by the application to novel DNaseI-seq and NOMe-seq data for primary human hepatocytes and CD4+ T-cells, respectively.

bioinformatics↗