Publications by authors named "Yousra Ben Zouari"

Article Synopsis
  • Metazoan chromosomes are organized into regions called TADs, which help regulate gene activity, but the exact mechanisms connecting these domains to transcription remain unclear.
  • Using Capture Hi-C techniques, researchers examined changes in chromatin structure during mouse thymocyte development, finding specific remodeling events associated with gene activation.
  • The study showed that gene transcription can influence chromatin structure, revealing that transcriptional processes play a key role in shaping how chromosomes are organized.
View Article and Find Full Text PDF

Enhancer-promoter interactions preferentially occur within boundary-insulated topologically associating domains (TADs), limiting inter-TAD interactions. Enhancer clusters in linear proximity, termed super-enhancers (SEs), ensure high target gene expression levels. Little is known about SE topological regulatory impact during craniofacial development.

View Article and Find Full Text PDF

It is established that transcription of many metazoan genes is regulated by distal regulatory sequences beyond the promoter. Enhancers have been identified at up to megabase distances from their regulated genes, and/or proximal to or within the introns of unregulated genes. The unambiguous identification of the target genes of newly identified regulatory elements can thus be challenging.

View Article and Find Full Text PDF

Capture Hi-C (CHi-C) is a new technique for assessing genome organization based on chromosome conformation capture coupled to oligonucleotide capture of regions of interest, such as gene promoters. Chromatin loop detection is challenging because existing Hi-C/4C-like tools, which make different assumptions about the technical biases presented, are often unsuitable. We describe a new approach, ChiCMaxima, which uses local maxima combined with limited filtering to detect DNA looping interactions, integrating information from biological replicates.

View Article and Find Full Text PDF

Background: Next generation sequencing (NGS) data treatment often requires mapping sequenced reads onto a reference genome for further analysis. Mapped data are commonly visualized using genome browsers. However, such software are not suited for a publication-ready and versatile representation of NGS data coverage, especially when multiple experiments are simultaneously treated.

View Article and Find Full Text PDF