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Senescent cells cluster CTCF on nuclear speckles to sustain their splicing program [Chipmentation]

GSE269858 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 6 samples Submitted 2024/06/17 Platform GPL21697
Summary
Senescence —the end-point of the replicative life span of normal cells— is characterized by a complex sequence of molecular and biochemical events. One of these is the dramatic reorganization of CTCF into large senescence-induced CTCF clusters (SICCs). However, the molecular determinants, genomic consequences, and functional purpose of SICCs remained unknown. Here, we combine super-resolution imaging, 3D genomics, and functional assays with computational modelling to address all aspects of SICC emergence. First, we used modelling and data from the overexpression of nuclear factors lost upon senescence entry to explain how changes in the nuclear environment allow for CTCF clustering. Second, we discovered that cells entering senescence repurpose SRRM2 —a key component of nuclear speckles— and BANF1 —a protein known to act as ‘molecular glue’ for chromosomes during mitosis— to cluster CTCF on the surface of speckles, while rewiring higher-order genome architecture. Last, we could show that SICCs are required for the faithful execution of the senescence splicing program as their disruption by SRRM2 or BANF1 depletion reverts splicing choices. Together, the senescence-specific clustering of CTCF on nuclear speckles is a new paradigm of a change in the biochemical environment of the nucleus being translated into its architectural reorganization to allow for the deployment of a splicing program driving homeostatic deregulation.
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Direct links to NCBI, no account and no request form: the whole study as GSE269858_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1124024 and SRA study SRP513939. Searching any of these in the dataset finder brings you back here.

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