Literature DB >> 32063424

Small fish, big prospects: using zebrafish to unravel the mechanisms of hereditary hearing loss.

Barbara Vona1, Julia Doll2, Michaela A H Hofrichter2, Thomas Haaf2, Gaurav K Varshney3.   

Abstract

Over the past decade, advancements in high-throughput sequencing have greatly enhanced our knowledge of the mutational signatures responsible for hereditary hearing loss. In its present state, the field has a largely uncensored view of protein coding changes in a growing number of genes that have been associated with hereditary hearing loss, and many more that have been proposed as candidate genes. Sequencing data can now be generated using methods that have become widespread and affordable. The greatest hurdles facing the field concern functional validation of uncharacterized genes and rapid application to human diseases, including hearing and balance disorders. To date, over 30 hearing-related disease models exist in zebrafish. New genome editing technologies, including CRISPR/Cas9 will accelerate the functional validation of hearing loss genes and variants in zebrafish. Here, we discuss current progress in the field and recent advances in genome editing approaches.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Base editing; CRISPR/Cas9; Genetic variants; Genetics of hearing loss; Hereditary hearing loss; Model organism; Zebrafish

Mesh:

Year:  2020        PMID: 32063424      PMCID: PMC7415493          DOI: 10.1016/j.heares.2020.107906

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  254 in total

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Authors:  H S Scott; J Kudoh; M Wattenhofer; K Shibuya; A Berry; R Chrast; M Guipponi; J Wang; K Kawasaki; S Asakawa; S Minoshima; F Younus; S Q Mehdi; U Radhakrishna; M P Papasavvas; C Gehrig; C Rossier; M Korostishevsky; A Gal; N Shimizu; B Bonne-Tamir; S E Antonarakis
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Authors:  Gaurav K Varshney; Haigen Huang; Suiyuan Zhang; Jing Lu; Derek E Gildea; Zhongan Yang; Tyra G Wolfsberg; Shuo Lin; Shawn M Burgess
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