USC Collaboration Helps FaceBase Reach 1,000-Dataset Milestone

Bridget Samuels | December 1, 2021

The data repository allows craniofacial scientists to share data, which could ultimately lead to improved care for patients with craniofacial developmental disorders.

FaceBase image of a mouse

The 1000th dataset, produced at USC, analyzed the transcriptomes of cells from the cranial sutures of developing mice. Image courtesy of Cristina Williams / USC Information Sciences Institute

Rapid technological development in the past decade has allowed scientists to generate more data than ever before.

At the same time, increased calls for transparency, reproducibility and data sharing in the scientific community have made it increasingly important to store data for posterity — and to serve as a springboard for future discoveries.

Enter USC’s FaceBase Consortium, a data-sharing community geared specifically for craniofacial and dental researchers, supported by the National Institute of Dental and Craniofacial Research (NIDCR). Since 2014, a team of USC scientists have been charged with developing the FaceBase Hub and curating data contributed to the repository.

These efforts are led by Professor Carl Kesselman, the William M. Keck Chair at the USC Viterbi School of Engineering and director of the Informatics Systems Research Division at USC’s Information Sciences Institute (ISI); and Yang Chai, PhD ’91, DDS ’96, university professor, associate dean of research for the USC Herman Ostrow School of Dentistry and director of the Center of Craniofacial and Molecular Biology.

In November 2021, FaceBase marked a major milestone: the 1000th dataset made public through the repository. Fittingly, considering USC’s leading role in the consortium, dataset No. 1000 represents an effort led by Gage Crump, professor of stem cell biology and regenerative medicine at the Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research at USC. Postdoctoral fellow Peter Fabian, graduate student Kuo-Chang Tseng and collaborator Steve Twigg (Oxford University) contributed to the project, which analyzed the transcriptomes of cells from the cranial sutures of developing mice.

Comprehending the cranial sutures on the cellular level is crucial for understanding the etiology of craniosynostosis (premature fusion of the sutures), a birth defect that may occur on its own or as part of numerous genetic syndromes.

As FaceBase expands beyond the first thousand datasets, its ability to transform the study of craniofacial and dental development will continue to grow, leading to new scientific discoveries and ultimately to improved care for patients suffering from birth defects and developmental disorders affecting the craniofacial region.

Published on December 1st, 2021

Last updated on May 16th, 2024

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