Literature DB >> 31501243

Iterative, multiplexed CRISPR-mediated gene editing for functional analysis of complex protease gene clusters.

LuLu K Callies1, Daniel Tadeo1, Jan Simper1, Thomas H Bugge2, Roman Szabo1.   

Abstract

Elucidation of gene function by reverse genetics in animal models frequently is complicated by the functional redundancy of homologous genes. This obstacle often is compounded by the tight clustering of homologous genes, which precludes the generation of multigene-deficient animals through standard interbreeding of single-deficient animals. Here, we describe an iterative, multiplexed CRISPR-based approach for simultaneous gene editing in the complex seven-member human airway trypsin-like protease/differentially expressed in a squamous cell carcinoma (HAT/DESC) cluster of membrane-anchored serine proteases. Through four cycles of targeting, we generated a library of 18 unique congenic mouse strains lacking combinations of HAT/DESC proteases, including a mouse strain deficient in all seven proteases. Using this library, we demonstrate that HAT/DESC proteases are dispensable for term development, postnatal health, and fertility and that the recently described function of the HAT-like 4 protease in epidermal barrier formation is unique among all HAT/DESC proteases. The study demonstrates the potential of iterative, multiplexed CRISPR-mediated gene editing for functional analysis of multigene clusters, and it provides a large array of new congenic mouse strains for the study of HAT/DESC proteases in physiological and in pathophysiological processes.
© 2019 Callies et al.

Entities:  

Keywords:  CRISPR/Cas; HAT/DESC proteases; TMPRSS11 gene cluster; epidermal barrier function; epidermis; gene knockout; membrane-anchored serine proteases; mouse genetics; multiplexed gene editing; serine protease

Mesh:

Substances:

Year:  2019        PMID: 31501243      PMCID: PMC6827298          DOI: 10.1074/jbc.RA119.009773

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  53 in total

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