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Biology subjects

Brant, L.

Publications and source records attributed to Brant, L..

4 recordsLinked to original sources

Retrieving high-resolution chromatin interactionsand decoding enhancer regulatory potential in silico

The advent of the chromosome conformation capture (3C) and related technologies has profoundly renewed our understaning of three-dimensional chromatin organization in mammalian nuclei. Alongside these experimental approaches, numerous computational tools for handling, normalizing, visualizing, and ultimately detecting interactions in 3C-type datasets are being developed. Here, we present Bloom, a comprehensive method for the analysis of 3C-type data matrices on the basis of Dirichlet process mixture models that addresses two important open issues. First, it retrieves occult interaction patterns from sparse data, like those derived from single-cell Hi-C experiments; thus, bloomed sparse data can now be used to study interaction landscapes at sub-kbp resolution. Second, it detects enhancer-promoter interactions with high sensitivity and inherently assigns an interaction frequency score (IFS) to each contact. Using enhancer perturbation data of different throughput, we show that IFS accurately quantifies the regulatory influence of each enhancer on its target promoter. As a result, Bloom allows decoding of complex regulatory landscapes by generating functionally-relevant enhancer atlases solely on the basis of 3C-type of data.

bioinformatics↗

Aging-associated changes in transcriptional elongation influence metazoan longevity.

Physiological homeostasis becomes compromised during aging, as a result of impairment of cellular processes, including transcription and RNA splicing. However, the molecular mechanisms leading to the loss of transcriptional fidelity are so far elusive, as are ways of preventing it. Here, we profiled and analyzed genome-wide, aging-related changes in transcriptional processes across different organisms: nematode worms, fruit flies, mice, rats and humans. The average transcriptional elongation speed (Pol-II speed) increased with age in all five species. Along with these changes in elongation speed we observed changes in splicing, including a reduction of unspliced transcripts and the formation of more circular RNAs. Two lifespan-extending interventions, dietary restriction and lowered insulin/Igf signaling, both reversed most of these aging-related changes. Genetic variants in Pol-II that reduced its speed in worms and flies increased their lifespan. Similarly, reducing Pol-II speed by overexpressing histone components, to counter age-associated changes in nucleosome positioning, also extended lifespan in flies and the division potential of human cells. Our findings uncover fundamental molecular mechanisms underlying animal aging and lifespan-extending interventions, and point to possible preventative measures.

genomics↗

DNA methylation patterns of replicative senescence are strand-specific and reflect changes in chromatin conformation

Culture expansion of primary cells evokes highly reproducible DNA methylation (DNAm) changes at specific sites in the genome. These changes might be due to an directly regulated epigenetic process, or to gradual deregulation of the epigenetic state, which is often referred to as "epigenetic drift". We have identified CG dinucleotides (CpGs) that become continuously hyper- or hypomethylated in the course of culture expansion of mesenchymal stem cells (MSCs) and other cell types. During reprogramming into induced pluripotent stem cells (iPSCs) particularly the culture-associated hypomethylation is reversed simultaneously with age-associated and pluripotency-associated DNAm changes. Bisulfite barcoded amplicon sequencing (BBA-seq) demonstrated that upon passaging the DNAm patterns of neighboring CpGs become more complex without evidence of continuous pattern development and without association to oligoclonal subpolulations of MSCs at later passages. Circularized chromatin conformation capture (4C) revealed reproducible changes in nuclear organization between early and late passages, while there was no preferential interaction with other genomic regions that also harbor culture-associated DNAm changes. Chromatin immunoprecipitation of CTCF did not show significant differences during long-term culture of MSCs, however culture-associated hypermethylation was enriched at CTCF binding sites and hypomethylated CpGs were devoid of CTCF. Taken together, our results indicate that DNAm changes during culture-expansion resembles epigenetic drift, which seems to occur in relation to chromatin conformation.

genomics↗

Topological Demarcation By HMGB2 Is Disrupted Early Upon Senescence Entry Across Cell Types And Induces CTCF Clustering

Ageing-relevant processes, like cellular senescence, are characterized by complex, often stochastic, events giving rise to heterogeneous cell populations. We hypothesized that entry into senescence of different primary human cells can be triggered by one early molecular event affecting the spatial organization of chromosomes. To test this, we combined whole-genome chromosome conformation capture, population and single-cell transcriptomics, super-resolution imaging, and functional analyses applied on proliferating and replicatively-senescent populations from three distinct human cell types. We found a number of genes involved in DNA conformation maintenance being suppressed upon senescence across cell types. Of these, the abundant high mobility group (HMG) B1 and B2 nuclear factors are quantitatively removed from cell nuclei before typical senescence markers appear, and mark a subset of topologically-associating domain (TAD) boundaries. Their loss coincides with obvious reorganization of chromatin interactions via the dramatic spatial clustering of CTCF foci. HMGB2 knock-down recapitulates this senescence-induced CTCF clustering, while also affecting insulation at TAD boundaries. We accordingly propose that HMGB-mediated deregulation of chromosome conformation constitutes a primer for the ensuing senescent program across cell types.

genomics↗