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Biology subjects

Morival, J.

Publications and source records attributed to Morival, J..

2 recordsLinked to original sources

Multi-level transcriptomic analysis of LMNA-related dilated cardiomyopathy identifies disease-driving processes

Mutations in the LMNA gene, which encodes the nuclear envelope (NE) proteins lamins A and C, cause dilated cardiomyopathy (LMNA-DCM) and other diseases. The pathogenic mechanisms for LMNA-DCM remain poorly understood, limiting current treatment options and leading to high mortality amongst patients. We developed a mouse model with inducible, cardiomyocyte-specific Lmna deletion (cKO) and performed comprehensive bulk, single-nucleus, and spatial transcriptomic analyses across disease progression. Our analysis identified key disease-driving genes involved in cellular responses to DNA damage, cytosolic pattern recognition receptor signaling, and innate immunity that originated from two disease-specific cardiomyocyte subpopulations. Spatial mapping revealed aberrant interactions between these cardiomyocytes, fibroblasts, and immune cells, contributing to tissue-wide transcriptional changes in cKO hearts. Concurrent cardiomyocyte-specific disruption of the LINC complex, which transmits cytoskeletal forces to the nucleus, substantially reduced NE rupture in cKO cardiomyocytes, normalized expression of more than half of the dysregulated genes, and dramatically improved cardiac function and survival in cKO mice. These findings suggest that NE rupture in cKO cardiomyocytes triggers cytosolic DNA sensing pathways and maladaptive cell-cell communication with fibroblasts and immune cells, leading to fibrosis and inflammation driving LMNA-DCM pathogenesis.

cell biology↗

Stochastic Modeling Reveals Kinetic Heterogeneity in Post-replication DNA Methylation

DNA methylation is a heritable epigenetic modification that plays an essential role in mammalian development. Genomic methylation patterns are dynamically maintained, with DNA methyltransferases mediating inheritance of methyl marks onto nascent DNA over cycles of replication. A recently developed experimental technique employing immunoprecipitation of bromodeoxyuridine labeled nascent DNA followed by bisulfite sequencing (Repli-BS) measures post-replication temporal evolution of cytosine methylation, thus enabling genome-wide monitoring of methylation maintenance. In this work, we combine statistical analysis and stochastic mathematical modeling to analyze Repli-BS data from human embryonic stem cells. We estimate site-specific kinetic rate constants for the restoration of methyl marks on >10 million uniquely mapped cytosines within the CpG (cytosine-phosphate-guanine) dinucleotide context across the genome using Maximum Likelihood Estimation. We find that post-replication remethylation rate constants span approximately two orders of magnitude, with half-lives of per-site recovery of steady-state methylation levels ranging from shorter than ten minutes to five hours and longer. Furthermore, we find that kinetic constants of maintenance methylation are correlated among neighboring CpG sites. Stochastic mathematical modeling provides insight to the biological mechanisms underlying the inference results, suggesting that enzyme processivity and/or collaboration can produce the observed kinetic correlations. Our combined statistical/mathematical modeling approach expands the utility of genomic datasets and disentangles heterogeneity in methylation patterns arising from replication-associated temporal dynamics versus stable cell-to-cell differences.

genomics↗