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Tejedor, J. R.

Publications and source records attributed to Tejedor, J. R..

7 recordsLinked to original sources

Replicative history as a major determinant of epigenetic noise across human tissues

DNA methylation changes accumulate with age through both regulated and stochastic processes, yet the determinants of epigenetic information loss remain poorly defined. Using genome-wide DNA methylation profiles from 1,531 healthy human samples spanning 14 tissues, we quantified epigenetic noise by Shannon entropy and corrected it for cellular and tissue heterogeneity. Adjusted entropy was consistently low in promoters, first exons and CpG islands, and high in CpG-poor and intergenic regions. Cumulative mitotic history showed a stronger association with epigenetic noise than chronological age, explaining most of its variance particularly within CpG-rich regulatory regions. By contrast, age-related, replication-independent effects predominated outside CpG islands and in low-proliferative tissues such as the brain. Moreover, biological age acceleration was largely attributable to cell division in a tissue-specific manner. Collectively, mitotic history emerges as a major determinant of epigenetic noise accumulation across human tissues, while genomic context modulates regional vulnerability to methylation information loss during aging.

genomics↗

Repetitive DNA-resolved epigenomics maps chromatin rewiring during aging and malignant transformation

Repetitive DNA constitutes more than half of the human genome, yet its chromatin landscape remains poorly understood. Here, we integrated multi-mapping reads across 3, 744 repeat subfamilies and 937 ChIP-seq experiments for six canonical histone marks in hematopoietic cells and chronic malignancies from the BLUEPRINT consortium. Chromatin signals at repeats encode cell type-specific signatures, with certain elements (Alu, SVA, ERV/Gypsy LTRs) exhibiting conserved epigenomic profiles distinct from surrounding single-copy sequences, and LTRs acting as chromatin boundaries. Combinatorial analyses further revealed five major repeat epitypes (promoter-like, active/poised enhancers, and two heterochromatin domains) that enhance annotations from uniquely-mapping reads. Beyond constitutive heterochromatin, we uncovered a highly plastic heterochromatin characterized by concurrent H3K36me3 and H3K9me3 that can dynamically switch to active epitypes in B-cell chronic neoplasms. Although malignant transformation involved global loss of histone marks across repeats, we identified targeted heterochromatinization of satellites and LTRs, mirroring changes in aged B cells, and gains of active marks at CD34 enhancers and disease-related genes. Likewise, aging primes the heterochromatin landscape toward malignancy but still requires de novo acquisition of active marks at regulatory regions to promote transformation. Our atlas provides the most comprehensive resource for dissecting chromatin dynamics at repetitive DNA in hematopoietic aging and cancer.

molecular biology↗

Mechanical evolution of 3T3 fibroblastic cells exposed to nanovibrational stimulation

Cells are mechanosensitive, responding to external mechanical stimulation. Nanovibrational stimulation has been shown to enhance cell contractility and actin stress fibre formation. These changes in morphology occur quickly, alongside associated mechanical changes. Here, the relationship between acute morphological and mechanical changes in NIH 3T3 fibroblastic cells in response to nanovibrational stimulation is presented. A 1 kHz, 30 nm vibration is applied continuously for 72 hours. Atomic force microscopy (AFM) quantifies mechanical properties of the nucleus and cytoplasm at multiple timepoints, while immunofluorescence tracks morphological changes. Within 3 hours of stimulation, both nuclear and cytoplasmic stiffness increase significantly, accompanied by a decrease in the cellular fluid exponent, suggesting a shift of the cell towards more solid-like behaviour. These changes correlate with increased nuclear area. Actin polymerisation also increases within 24 hours, although variably. To understand the role of the cytoskeleton, actin polymerisation and contraction are inhibited using cytochalasin D and blebbistatin. Results show that inhibition prevents stiffness increases and results in a higher fluid exponent, indicating a more fluid-like state. These findings demonstrate that actin-myosin dynamics mediate cell stiffening under nanovibrational stimulation. Interestingly, prolonged stimulation appears to reverse this effect, suggesting that temporal optimisation of stimulation may enhance long-term mechanotransducive responses.

cell biology↗

Age-Dependent Maturation and Rejuvenation of the Neural 3D Chromatin Interactome in Enriched Environments

Aging is a multifactorial biological process resulting in physiological and cellular decline. However, our understanding of age-related changes in 3D genome organization and the effect of external interventions on this process, remains limited. Here we describe alterations in the landscape of the 3D chromatin interactome upon aging, utilizing the low input Promoter Capture Hi-C (liCHi-C) technique with hippocampal neurons. We integrated liCHi-C data with RNA-seq data to identify functional implications. Furthermore, we assessed the effect of exposure to environmental enrichment (EE). Remarkably, our results demonstrated an age- dependent modulation of promoter interactions and expression with EE, with aging-like changes induced in young mice upon EE, likely associated with early brain maturation; while age-related alterations were reverted in old mice, leading to a partial rejuvenation of aged mouse hippocampi. These findings revealed a dynamic behaviour of the neuronal 3D chromatin structure over time, which can be modulated by external interventions.

genomics↗

A universal limit for mammalian lifespan revealed by epigenetic entropy

Loss of epigenetic information has been proposed as a potential driver of mammalian aging. However, its contribution to the well-documented variation in lifespan estimates among mammals remains to be elucidated. In this study, we examined DNA methylation entropy patterns at evolutionarily conserved CpG sites across multiple mammalian species to quantify age-associated epigenetic information loss. We found that longer-lived species tend to accumulate fewer CpGs exhibiting increased methylation noise over time, irrespective of whether these changes arise from hyper- or hypomethylation mechanisms. Importantly, the rate of epigenetic entropy gain declines in a linear fashion with species maximum lifespan, pointing to the existence of a universal constraint on mammalian longevity, estimated to lie in the vicinity of 220 years. We further demonstrated that this relationship and its associated limit were independent of species and sample selection, as well as phylogenetic relatedness, and remained robust across different scenarios of lifespan estimation uncertainty. Collectively, this work highlights the maintenance of epigenetic information as a key factor in explaining lifespan differences among species and proposes a universal maximum limit to natural mammalian longevity.

molecular biology↗

Distinct chromatin signatures of DNA hypomethylation in aging and cancer

BackgroundCancer is an aging-associated disease but the underlying molecular links between these processes are still largely unknown. Gene promoters that become hypermethylated in aging and cancer share a common chromatin signature in ES cells. In addition, there is also global DNA hypomethylation in both processes. However, any similarities of the regions where this loss of DNA methylation occurs is currently not well characterized, nor is it known whether such regions also share a common chromatin signature in aging and cancer.\n\nResultsTo address this issue we analysed TCGA DNA methylation data from a total of 2,311 samples, including control and cancer cases from patients with breast, kidney, thyroid, skin, brain and lung tumors and healthy blood, and integrated the results with histone, chromatin state and transcription factor binding site data from the NIH Roadmap Epigenomics and ENCODE projects. We identified 98,857 CpG sites differentially methylated in aging, and 286,746 in cancer. Hyper- and hypomethylated changes in both processes each had a similar genomic distribution across tissues and displayed tissue-independent alterations. The identified hypermethylated regions in aging and cancer shared a similar bivalent chromatin signature. In contrast, hypomethylated DNA sequences occurred in very different chromatin contexts. DNA hypomethylated sequences were enriched at genomic regions marked with the activating histone posttranslational modification H3K4me1 in aging, whilst in cancer, loss of DNA methylation was primarily associated with the repressive H3K9me3 mark.\n\nConclusionsOur results suggest that the role of DNA methylation as a molecular link between aging and cancer is more complex than previously thought.

genomics↗

Non-canonical aberrant DNA hypermethylation in glioma

Aberrant DNA hypermethylation is a hallmark of cancer although the underlying molecular mechanisms are still poorly understood. To study the possible role of 5-hydroxymethylcytosine (5hmC) in this process we analyzed the global and locus-specific genome-wide levels of 5hmC in primary samples from 54 gliomas and 72 colorectal cancer patients. Levels of 5hmC in colorectal cancer were very low and no consistent changes were detected between control tissues and tumors. As expected, levels of 5hmC in non-tumoral brain samples were high and significantly reduced at the 49,601 CpG sites in gliomas. Strikingly, hypo-hydroxymethylation at 4,627 (9.3%) of these CpG sites was associated with aberrant DNA hypermethylation. The DNA regions containing these CpG sites were enriched in H3K4me2, and presented a different genuine chromatin signature to that characteristic of the genes classically aberrantly hypermethylated in cancer. We conclude that this data identifies a novel 5hmC-dependent non-canonical class of aberrant DNA hypermethylation in glioma.

cancer biology↗