Gene Regulation

The mechanisms that regulate gene expression are central to the control of cell development and differentiation, maintenance of cell fate, and adaption to external stimuli.¹ Dysregulation of gene expression is a well-documented contributor to initiation and progression of cancer and other diseases. 3D chromatin architecture plays a critical role in maintaining proper gene expression since chromosomal loops bring critical genomic regulatory elements, that can be megabases apart, into close proximity to each other.² This spatial relationship is a novel and, as yet, largely unexplored area of epigenetic research; however, it is a rapidly growing area due to the emergence of innovative techniques based on proximity ligation like Hi-C.

Enhancer-promoter interactions play a fundamental role in determining cell state and development by regulating gene expression. Methods like ChIP-seq and ATAC-seq have been instrumental in unraveling the transcriptional machinery, enabling the of mapping histone modifications and transcriptionally active genomic regions respectively. However, while these techniques have proven valuable, they only present part of the overall picture. Proximity ligation, and Hi-C in particular, captures spatial features associated with chromatin topology and three-dimension (3D) genome architecture to add a whole new dimension towards your understanding of how 3D epigenetics modulate gene expression.

Choose from our family of easy to use kits, including the Micro-C kit, and:

• Gain novel insights on the impact of 3D architecture on local and distal promoter/enhancer interactions that influence gene regulation
• Get a comprehensive view of protein binding & protein-mediated chromatin interactions without any bias due to restriction enzyme density
• Gather fine-scale, high-resolution topology mapping with an easy workflow that doesn’t require variable-introducing sonication.

Gene Regulation Webinar: Life After ChIP-Seq: Genome Conformation Enhances Our View of the Regulatory Landscape

1. Genome-Wide Analysis of Gene Expression. Chung DQ and Le Rock KG., Encyclopedia of Biological Chemistry (Second Edition), 2013.
2. An Overview of Methods for Reconstructing 3D Chromosome and Genome Structures from Hi-C Data. Oluwadare O, Highsmith M, and Cheng., Biol Proced Online, 2019.