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Anthony Mathelier

Publications and source records attributed to Anthony Mathelier.

3 recordsLinked to original sources

Human enhancers associated with immune response harbour specific sequence composition, activity, and genome organization

The FANTOM5 consortium recently characterized 65,423 human enhancers from 1,829 cell and tissue samples using the Cap Analysis of Gene Expression technology. We showed that the guanine and cytosine content at enhancer regions distinguishes two classes of enhancers harboring distinct DNA structural properties at flanking regions. A functional analysis of their predicted gene targets highlighted one class of enhancers as significantly enriched for associations with immune response genes. Moreover, these enhancers were specifically enriched for regulatory motifs recognized by TFs involved in immune response. We observed that enhancers enriched for links to immune response genes were more cell type specific, preferentially activated upon bacterial infection, and with specific response activity. Looking at chromatin capture data, we found that the two classes of enhancers were lying in distinct topologically-associated domains and chromatin loops. Our results suggest that specific nucleotide compositions encode for classes of enhancers that are functionally distinct and specifically organized in the human genome.

Genomics

A role for YY1 in sex-biased transcription revealed through X-linked promoter activity and allelic binding analyses

Sex differences in susceptibility and progression have been reported in numerous diseases. Female cells have two copies of the X chromosome with X-chromosome inactivation imparting mono-allelic gene silencing for dosage compensation. However, a subset of genes, named escapees, escape silencing and are transcribed bi-allelically resulting in sexual dimorphism. Here we conducted analyses of the sexes using human datasets to gain perspectives in such regulation. We identified transcription start sites of escapees (escTSSs) based on higher transcription levels in female cells using FANTOM5 CAGE data. Significant over-representations of YY1 transcription factor binding motif and ChIP-seq peaks around escTSSs highlighted its positive association with escapees. Furthermore, YY1 occupancy is significantly biased towards the inactive X (Xi) at long non-coding RNA loci that are frequent contacts of Xi-specific superloops. Our study elucidated the importance of YY1 on transcriptional activity on Xi in general through sequence-specific binding, and its involvement at superloop anchors.

Genomics

CAGEd-oPOSSUM: motif enrichment analysis from CAGE-derived TSSs

SummaryWith the emergence of large-scale Cap Analysis of Gene Expression data sets from individual labs and the FANTOM consortium, one can now analyze the cis-regulatory regions associated with gene transcription at an unprecedented level of refinement. By coupling transcription factor binding site (TFBS) enrichment analysis with CAGE-derived cis-regulatory regions, CAGEd-oPOSSUM can identify TFs that act as key regulators of genes involved in specific mammalian cell and tissue types. The webtool allows for the analysis of CAGE-derived transcription start sites (TSSs) either (i) provided by the user or (ii) selected from ~1,300 mammalian samples from the FANTOM5 project with pre-computed TFBS predicted with JASPAR TF binding profiles. The tool can help power insights into the transcriptional regulation of genes through the study of the specific usage of TSSs within specific cell types and/or under specific conditions.\n\nAvailability and implementationThe CAGEd-oPOSUM web tool is implemented in Perl, MySQL, and Apache and is available at http://cagedop.cmmt.ubc.ca/CAGEd_oPOSSUM. The source code is freely available from GitHub at https://github.com/wassermanlab/CAGEd-oPOSSUM.\n\nContactdave@cmmt.ubc.ca, wyeth@cmmt.ubc.ca, and anthony.mathelier@gmail.com.\n\nSupplementary informationSupplementary Figures are available on the journal website. Supplementary Data is available at http://cagedop.cmmt.ubc.ca/CAGEd_oPOSSUM/archived_results/.

Bioinformatics