Robert Schuler

FaceBase 3.0: A Comprehensive Resource on Craniofacial Development

TitleFaceBase 3.0: A Comprehensive Resource on Craniofacial Development
Publication TypeConference Paper
Year of Publication2019
AuthorsB. Samuels, T. - V. Ho, C. Kesselman, J. Li, R. Schuler, C. Williams, Y. Yuan, and Y. Chai
Conference NameIADR/AADR/CADR General Session
Date PublishedJune 19-22
Conference LocationVancouver, Canada

Objectives: The FaceBase Consortium is supported by the National Institute of Dental and Craniofacial Research (NIDCR) and provides a freely available repository of data for the scientific community on craniofacial development in humans, mice, zebrafish and other model organisms. Methods: The FaceBase Hub team continues to develop innovative tools for the identification, retrieval, display, curation, and analysis of datasets on all aspects of craniofacial development. Recent developments include a viewer for 3D microCT data capable of displaying anatomical landmarks and measuring the distance between those landmarks, as well as integration with the UCSC Genome Browser track hub. The craniofacial community is strongly encouraged to submit relevant datasets for integration with the Hub's search, display, and analysis functions. Results: As of January 2019, FaceBase includes over 800 datasets from human, zebrafish, mouse, and chimpanzee. Experiment types represented include ATAC-seq, ChIP-seq, comparative phenotypic assessment, microarrays, enhancer activity detection, exome sequencing, microRNA profiling, morphometric analysis, RNA-seq including single-cell assays, and transcript expression location detection by hybridization chain reaction. These datasets provide the craniofacial research community access to comprehensive physical, molecular, and genetic data analysis with extensive opportunities to develop hypothesis-based basic and translational research studies. Conclusions: The goal of the FaceBase Consortium is to be the premier one-stop resource for the craniofacial research community. It also fulfills the NIH data sharing requirement. The availability of a wide variety of data from different craniofacial models via the FaceBaseHub allows the community an unprecedented opportunity to study the development of the face and the molecular mechanisms underlying craniofacial abnormalities.