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Hernando-Herraez, I.

Publications and source records attributed to Hernando-Herraez, I..

2 recordsLinked to original sources

Ageing affects DNA methylation drift and transcriptional cell-to-cell variability in muscle stem cells

Age-related tissue alterations have been associated with a decline in stem cell number and function1. Although increased cell-to-cell variability in transcription or epigenetic marks has been proposed to be a major hallmark of ageing2-5, little is known about the molecular diversity of stem cells during ageing. Here, by combined single-cell transcriptome and DNA methylome profiling in mouse muscle stem cells, we show a striking global increase of uncoordinated transcriptional heterogeneity together with context-dependent alterations of DNA methylation with age. Importantly, promoters with increased methylation heterogeneity are associated with increased transcriptional heterogeneity of the genes they drive. Notably, old cells that change the most with age reveal alterations in the transcription of genes regulating cell-niche interactions. These results indicate that epigenetic drift, by accumulation of stochastic DNA methylation changes in promoters, is a substantial driver of the degradation of coherent transcriptional networks with consequent stem cell functional decline during ageing.

genomics

A comparison of gene expression and DNA methylation patterns across tissues and species

Previously published comparative functional genomic data sets from primates using frozen tissue samples, including many data sets from our own group, were collected and analyzed using non-optimal study designs and analysis approaches. In addition, when samples from multiple tissues were studied in a comparative framework, individual and tissue were confounded. We designed a multi-tissue comparative study of gene expression and DNA methylation in primates that minimizes confounding effects by using a balanced design with respect to species, tissues, and individuals. We also developed a comparative analysis pipeline that minimizes biases due to sequence divergence. We thus present the most comprehensive catalog of similarities and differences in gene expression and methylation levels between livers, kidneys, hearts, and lungs, in humans, chimpanzees, and rhesus macaques. We estimate that overall, only between 7 to 11% (depending on the tissue) of inter-species differences in gene expression levels can be accounted for by corresponding differences in promoter DNA methylation. However, gene expression divergence in conserved tissue-specific genes can be explained by corresponding inter-species methylation changes more often. We end the paper by providing recommendations for effective study design and best practices for meta-data recording for comparative functional genomic studies in primates.

genomics