Biology subjects

Gilbert, N.

Publications and source records attributed to Gilbert, N..

28 records · Page 2Linked to original sources

bioRxiv2021

Transcription modulates chromatin dynamics and locus configuration sampling

In living cells the 3D structure of gene loci is dynamic, but this is not revealed by 3C and FISH experiments in fixed samples, leaving a significant gap in our understanding. To overcome these limitations we applied the "highly predictive heteromorphic polymer" (HiP-HoP) model, validated by experiments, to determine chromatin fibre mobility at the Pax6 locus in three mouse cell lines with different transcription states. While transcriptional activity minimally affects the movement of 40 kbp regions, we observed that the motion of smaller 1 kbp regions depends strongly on local disruption to chromatin fibre structure marked by H3K27 acetylation. This also significantly influenced locus configuration dynamics by modulating promoter-enhancer loops associated with protein bridging. Importantly these simulations indicate that chromatin dynamics are sufficiently fast to sample all possible conformations of loci within minutes, generating wide dynamic variability of gene loci structure within single cells. Experiments inhibiting transcription change chromatin fibre structure subtly, yet we predict they should substantially affect mobility. This combination of simulation and experimental validation provide a novel insight and mechanistic model to explain how transcriptional activity influences chromatin structure and gene dynamics.

biophysics↗

bioRxiv2021

Centromere formation remodels chromatin fibre structure

Human centromeres appear as constrictions on mitotic chromosomes and form a platform for kinetochore assembly in mitosis. Biophysical experiments led to a suggestion that repetitive DNA at centromeric regions form a compact scaffold necessary for function, but this was revised when neocentromeres were discovered on non-repetitive DNA. To test whether centromeres have a special chromatin structure we have analysed the architecture of a neocentromere. Centromere formation is accompanied by RNA pol II recruitment and active transcription to form a decompacted, negatively supercoiled domain enriched in open chromatin fibres. In contrast, centromerisation causes a spreading of repressive epigenetic marks to surrounding regions, delimited by H3K27me3 polycomb boundaries and divergent genes. This flanking domain is transcriptionally silent and partially remodelled to form compact chromatin, similar to satellite-containing DNA sequences, and exhibits genomic instability. We suggest transcription disrupts chromatin to provide a foundation for kine-tochore formation whilst compact pericentromeric heterochromatin generates mechanical rigidity.

molecular biology↗

bioRxiv2021

Kmerator Suite: design of specific k-mer signatures andautomatic metadata discovery in large RNA-Seq datasets.

The huge body of publicly available RNA-seq libraries is a treasure of functional information allowing to quantify the expression of known or novel transcripts in tissues. However, transcript quantification commonly relies on alignment methods requiring a lot of computational resources and processing time, which does not scale easily to large datasets. K-mer decomposition constitutes a new way to process RNA-seq data for the identification of transcriptional signatures, as k-mers can be used to quantify accurately gene expression in a less resource-consuming way. We present the Kmerator Suite, a set of three tools designed to extract specific k-mer signatures, quantify these k-mers into RNA-seq datasets and quickly visualize large datasets characteristics. The core tool, Kmerator, produces specific k-mers for 97% of human genes, enabling the measure of gene expression with high accuracy in simulated datasets. KmerExploR, a direct application of Kmerator, uses a set of predictor genes specific k-mers to infer metadata including library protocol, sample features or contaminations from RNA-seq datasets. KmerExploR results are visualised through a user-friendly interface. Moreover, we demonstrate that the Kmerator Suite can be used for advanced queries targeting known or new biomarkers such as mutations, gene fusions or long non coding-RNAs for human health applications.

bioinformatics↗

bioRxiv2021

SAF-A promotes origin licensing and replication fork progression to ensure robust DNA replication

The organisation of chromatin is closely intertwined with biological activities of chromosome domains, including transcription and DNA replication status. Scaffold attachment factor A (SAF-A), also known as Heteronuclear Ribonucleoprotein Protein U (HNRNPU), contributes to the formation of open chromatin structure. Here we demonstrate that SAF-A promotes the normal progression of DNA replication, and enables resumption of replication after inhibition. We report that cells depleted for SAF-A show reduced origin licensing in G1 phase, and consequently reduced origin activation frequency in S phase. Replication forks progress slowly in cells depleted for SAF-A, also contributing to reduced DNA synthesis rate. Single-cell replication timing analysis revealed that the boundaries between early- and late-replicating domains are blurred in cells depleted for SAF-A. Associated with these defects, SAF-A-depleted cells show elevated {gamma}H2A phosphorylation and tend to enter quiescence. Overall we find that SAF-A protein promotes robust DNA replication to ensure continuing cell proliferation.

cell biology↗

bioRxiv2020

SuperStructure: a Parameter-Free Super-Structure Identifier for SMLM Data

Single-Molecule Localisation Microscopy (SMLM) allows the quantitative mapping of molecules at high resolution. However, understanding the non-random interaction of proteins requires the identification of more complex patterns than those typified by standard clustering tools. Here we introduce SuperStructure, a parameter-free algorithm to quantify structures made of inter-connected clusters, such as protein gels. SuperStructure works without a priori assumptions and is thus an ideal methodology for standardised analysis of SMLM data.

bioinformatics↗

bioRxiv2020

Complex small-world regulatory networks emerge from the 3D organisation of the human genome

The discovery that overexpressing one or a few critical transcription factors can switch cell state suggests that gene regulatory networks are relatively simple. In contrast, genome-wide association studies (GWAS) point to complex phenotypes being determined by hundreds of loci that rarely encode transcription factors and which individually have small effects. Here, we use computer simulations and a simple fitting-free polymer model of chromosomes to show that spatial correlations arising from 3D genome organisation naturally lead to stochastic and bursty transcription plus complex small-world regulatory networks (where the transcriptional activity of each genomic region subtly affects almost all others). These effects require factors to be present at sub-saturating levels; increasing levels dramatically simplifies networks as more transcription units are pressed into use. Consequently, results from GWAS can be reconciled with those involving overexpression. We apply this pan-genomic model to predict patterns of transcriptional activity in whole human chromosomes, and, as an example, the effects of the deletion causing the diGeorge syndrome.

biophysics↗

bioRxiv2018

Aberrant chromatin resolution in G2/M leads to chromosome instability

Cells coordinate interphase to mitosis transition but recurrent cytogenetic lesions appear at common fragile sites (CFSs) in a tissue-specific manner following replication stress, marking regions of instability in cancer. Despite such a distinct defect no model fully explains their molecular configuration. We show that CFSs are characterised by impaired chromatin folding manifested as disrupted mitotic structures visible using molecular FISH probes in the presence and absence of replication stress. Chromosome condensation assays reveal that compaction-resistant chromatin lesions persist at CFSs throughout the cell cycle and mitosis. Subsequently cytogenetic and molecular lesions arise due to faulty condensin loading at CFSs, through a defect in condensin I mediated compaction and are coincident with mitotic DNA synthesis (MIDAS). This model suggests that in conditions of exogenous replication stress, aberrant condensin loading leads to molecular defects and CFS formation, concomitantly providing an environment for MIDAS, which, if not resolved, result in chromosome instability.

molecular biology↗

bioRxiv2018

Glycan cross-feeding drives mutualism between Fusobacterium and the vaginal microbiota

Dysbiosis of the vaginal microbiome is associated with vaginal colonization by potential pathogens including Fusobacterium nucleatum, a bacterium linked with intrauterine infection and preterm birth. However, mechanisms by which such pathogens gain a foothold in the dysbiotic vagina remain obscure. Here we demonstrate that sialidase activity, a biochemical marker of vaginal dysbiosis, promoted F. nucleatum foraging on mammalian sialoglycans, an otherwise inaccessible resource. In mice with sialidase-positive vaginal microbiomes, mutant F. nucleatum unable to consume sialic acids displayed impaired colonization. Furthermore, community- and co-culture experiments showed that F. nucleatum did not simply take advantage of sialidase-positive bacteria, but also \"gave back\" to the community, supporting robust outgrowth of sialidase-producers, including Gardnerella vaginalis. These results illustrate that mutualistic relationships between vaginal bacteria support pathogen colonization and reinforce dysbiosis, adding complexity to the simplistic dogma that the mere absence of \"healthy\" lactobacilli is what creates a permissive environment for pathogens during dysbiosis.

microbiology↗

bioRxiv2018

capC-MAP: A Software Package for Analysis of Capture-C data

We present capC-MAP, a software package for the analysis of Capture-C data. Capture-C is a \"many-to-all\" chromosome-conformation-capture method. We summarise the method, then detail capC-MAP, the first software specifically designed and optimised for Capture-C data. capC-MAP has been developed with ease-of-use and flexibility in mind: the entire pipe-ine can be run with a single command, or the component programs can be run individually for custom data processing, in a strategy that will suit computational as well as experimental researchers. Finally, we compare and benchmark capC-MAP against another package which can perform (though is not optimised for) analysis of Capture-C data.

genomics↗

bioRxiv2018

Polymer Simulations of Heteromorphic Chromatin Predict the 3-D Folding of Complex Genomic Loci

Chromatin folded into 3-D macromolecular structures is often analysed by 3C and FISH techniques, but frequently provide contradictory results. Instead, chromatin can be modelled as a simple polymer comprised of a connected chain of units. By embedding data for epigenetic marks (H3K27ac), genomic disruptions (ATAC-seq) and structural anchors (CTCF) we developed a highly predictive heteromorphic polymer (HiP-HoP) model, where the chromatin fibre varied along its length; combined with diffusing protein bridges and loop extrusion this model predicted the 3-D organisation of genomic loci at a population and single cell level. The model was validated at several gene loci, including the complex Pax6 gene, and was able to determine locus conformations across cell types with varying levels of transcriptional activity and explain different mechanisms of enhancer use. Minimal a priori knowledge of epigenetic marks is sufficient to recapitulate complex genomic loci in 3-D and enable predictions of chromatin folding paths.

molecular biology↗