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Biology subjects

Benkirane, M.

Publications and source records attributed to Benkirane, M..

4 recordsLinked to original sources

MacroH2A1 and H3K27me3 target cGAS to facultative heterochromatin to restrain innate immune activation

The DNA sensor cGAS is largely sequestered on chromatin in an inactive form, but how this state is regulated remains unclear. We show that cGAS preferentially binds nucleosomes containing the histone variant macroH2A1 (mH2A1) marked by H3K27me3 and H3K9me3. Cryo-EM reveals that cGAS selectively engages the mH2A1/H2B acidic patch within heterotypic nucleosomes. Depleting mH2A1.1 or blocking H3K27me3 deposition releases cGAS from chromatin and activates the cGAS-STING-IRF3 pathway. Genome-wide profiling reveals two cGAS-bound chromatin compartments: chromosome-arm sites co-occupied by mH2A1.1, methylated CpG islands, and CTCF, where cGAS and mH2A1.1 binding are interdependent; and centromeric regions (14% of peaks), which lack DNA methylation and mH2A1.1 dependence. These findings establish mH2A1 and H3K27me3 as determinants of cGAS chromatin tethering, linking nuclear cGAS regulation to facultative heterochromatin and opening new avenues for modulating cGAS-STING signaling.

cell biology↗

Combined direct/indirect detection allows identification of DNA termini in diverse sequencing datasets and supports a multiple-initiation-site model for HIV plus-strand synthesis

Replication of genetic material involves the creation of characteristic termini. Determining these termini is important to refine our understanding of the mechanisms involved in maintaining the genomes of cellular organisms and viruses. Here we describe a computational approach combining direct and indirect readouts to detect termini from next-generation short-read sequencing. While a direct inference of termini can come from mapping the most prominent start positions of captured DNA fragments, this approach is insufficient in cases where the DNA termini are not captured, whether for biological or technical reasons. Thus, a complementary (indirect) approach to terminus detection can be applied, taking advantage of the imbalance in coverage between forward and reverse sequence reads near termini. A resulting metric ("strand bias") can be used to detect termini even where termini are naturally blocked from capture or ends are not captured during library preparation (e.g., in tagmentation-based protocols). Applying this analysis to datasets where known DNA termini are present, such as from linear double-stranded viral genomes, yielded distinct strand bias signals corresponding to these termini. To evaluate the potential to analyze a more complex situation, we applied the analysis to examine DNA termini present early after HIV infection in a cell culture model. We observed both the known termini expected based on standard models of HIV reverse transcription (the U5-right-end and U3-left-end termini) as well as a signal corresponding to a previously described additional initiation site for plus-strand synthesis (cPPT [central polypurine tract]). Interestingly, we also detected putative terminus signals at additional sites. The strongest of these are a set that share several characteristics with the previously characterized plus-strand initiation sites (the cPPT and 3 PPT [polypurine tract] sites): (i) an observed spike in directly captured cDNA ends, an indirect terminus signal evident in localized strand bias, (iii) a preference for location on the plus-strand, (iv) an upstream purine-rich motif, and (v) a decrease in terminus signal at late time points after infection. These characteristics are consistent in duplicate samples in two different genotypes (wild type and integrase-lacking HIV). The observation of distinct internal termini associated with multiple purine-rich regions raises a possibility that multiple internal initiations of plus-strand synthesis might contribute to HIV replication.

genomics↗

NOTCH assembles a transcriptional repressive complex containing NuRD and PRC1 to repress genes involved in cell proliferation and differentiation.

NOTCH1 is best known as a master regulator of T-cell development with a strong oncogenic potential in developing T-cells. Upon induction of Notch, cells go through major transcriptional reprogramming that involves both activation and repression of gene expression. Although much is known about the transcriptional programs activated by Notch, the identity of the genes silenced downstream of Notch signaling and the mechanisms by which Notch down-regulates their expression remain unclear. Here, we show that upon induction of Notch signaling, ICN1-CSL-MAML1 ternary complex assembles a transcriptional Notch Repressive Complex (NRC) containing NuRD and PRC1. Genome wide analysis revealed set of genes bound and transcriptionally repressed by the NRC. Remarkably, among those genes, we found master regulators of cell differentiation and cell proliferation such as PAX5, master B-cell regulator and the DNA-binding transcriptional repressor MAD4. We propose that Notch possesses a dual role as direct activator and repressor by serving as a platform for the recruitment of co-activators and co-repressors on target genes and that both activities are required for Notch nuclear functions.

molecular biology↗

Spatially clustered loci with multiple enhancers are frequent targets of HIV-1

HIV-1 recurrently targets active genes that are positioned in the outer shell of the nucleus and integrates in the proximity of the nuclear pore compartment. However, the genomic features of these genes and the relevance of their transcriptional activity for HIV-1 integration have so far remained unclear. Here we show that recurrently targeted genes are delineated with super-enhancer genomic elements and that they cluster in specific spatial compartments of the T cell nucleus. We further show that these gene clusters acquire their location at the nuclear periphery during the activation of T cells. The clustering of these genes along with their transcriptional activity are the major determinants of HIV-1 integration in T cells. Our results show for the first time the relevance of the spatial compartmentalization of the genome for HIV-1 integration, thus further strengthening the role of nuclear architecture in viral infection.

genomics↗