Literature DB >> 26808208

The old and new face of craniofacial research: How animal models inform human craniofacial genetic and clinical data.

Eric Van Otterloo1, Trevor Williams2, Kristin Bruk Artinger3.   

Abstract

The craniofacial skeletal structures that comprise the human head develop from multiple tissues that converge to form the bones and cartilage of the face. Because of their complex development and morphogenesis, many human birth defects arise due to disruptions in these cellular populations. Thus, determining how these structures normally develop is vital if we are to gain a deeper understanding of craniofacial birth defects and devise treatment and prevention options. In this review, we will focus on how animal model systems have been used historically and in an ongoing context to enhance our understanding of human craniofacial development. We do this by first highlighting "animal to man" approaches; that is, how animal models are being utilized to understand fundamental mechanisms of craniofacial development. We discuss emerging technologies, including high throughput sequencing and genome editing, and new animal repository resources, and how their application can revolutionize the future of animal models in craniofacial research. Secondly, we highlight "man to animal" approaches, including the current use of animal models to test the function of candidate human disease variants. Specifically, we outline a common workflow deployed after discovery of a potentially disease causing variant based on a select set of recent examples in which human mutations are investigated in vivo using animal models. Collectively, these topics will provide a pipeline for the use of animal models in understanding human craniofacial development and disease for clinical geneticist and basic researchers alike.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Animal model systems; Craniofacial; Genetic screens; Human clinical genetics; Neural crest

Mesh:

Substances:

Year:  2016        PMID: 26808208      PMCID: PMC4914413          DOI: 10.1016/j.ydbio.2016.01.017

Source DB:  PubMed          Journal:  Dev Biol        ISSN: 0012-1606            Impact factor:   3.582


  197 in total

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