Cytosine deaminase base editing to restore COL7A1 in dystrophic epidermolysis bullosa human:murine skin model

Recessive dystrophic epidermolysis bullosa (RDEB) is a debilitating blistering skin disorder caused by loss-of-function mutations in COL7A1 encoding type VII collagen (C7), the main component of anchoring fibrils (AFs) at the dermal-epidermal junction (DEJ). Although conventional gene therapy approaches through viral vectors have been tested in pre-clinical and clinical trials, they are limited by transgene size constraints and only support unregulated gene expression. Genome editing could potentially overcome some of these limitations, and CRISPR/Cas9 has already been applied in research studies to restore COL7A1 expression. Delivery of suitable repair templates for repair of DNA cleaved by Cas9 is still major challenge, and alternative base editing strategies may offer corrective solutions for certain mutations. We demonstrate highly targeted and efficient cytidine deamination and molecular correction of a defined RDEB mutation (c.425A>G) leading to restoration of full-length C7 protein expression in primary human fibroblasts and iPSCs. C7 basement membrane expression and skin architecture were restored with de novo AFs identified by electron microscopy in base edited human RDEB grafts recovered from immunodeficient mice. The results demonstrate the potential and promise of emerging base editing technologies in tackling inherited disorders with well-defined single nucleotide mutations

Monitoring tissue engineered constructs and protocols with laboratory based x-ray phase contrast tomography

Tissue engineering (TE) aims to generate bioengineered constructs which can offer a surgical treatment for many conditions involving tissue or organ loss. Construct generation must be guided by suitable assessment tools. However, most current tools (e.g. histology) are destructive, which restricts evaluation to a single-2D anatomical plane, and has no potential for assessing constructs prior to or following their implantation. An alternative can be provided by laboratory-based x-ray phase contrast computed tomography (PC-CT), which enables the extraction of 3D density maps of an organ's anatomy. In this work, we developed a semi-automated image processing pipeline dedicated to the analysis of PC-CT slices of oesophageal constructs. Visual and quantitative (density and morphological) information is extracted on a volumetric basis, enabling a comprehensive evaluation of the regenerated constructs. We believe the presented tools can enable the successful regeneration of patient-specific oesophagus, and bring comparable benefit to a wide range of TE applications