Purpose, Partnership, and Possibilities: The Implementation of the Dog Aging Project Biobank

Author:

Mouttham Lara12ORCID,Castelhano Marta G12,Akey Joshua M3,Benton Brooke4,Borenstein Elhanan567,Castelhano Marta G12,Coleman Amanda E8,Creevy Kate E9,Crowder Kyle1011,Dunbar Matthew D11,Ernst Holley R9,Fajt Virginia R8,Fitzpatrick Annette L121314,Garrison Susan J12,Herndon Reba S12,Jaramilla Debra12,Jeffery Unity15,Jonlin Erica C416,Kaeberlein Matt4,Karlsson Elinor K1718,Kerr Kathleen F19,Levine Jonathan M9,Ma Jing220,McClelland Robyn L19,Prescott Jena O9,Promislow Daniel EL421,Ruple Audrey22,Schwartz Stephen M1323,Shrager Sandi24,Snyder-Mackler Noah252627,Tinkle Amanda K9,Tolbert M Katherine9,Urfer Silvan R4,Wilfond Benjamin S2829

Affiliation:

1. Cornell Veterinary Biobank, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA

2. Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA

3. Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA

4. Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA

5. Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

6. Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel

7. Santa Fe Institute, Santa Fe, NM, USA

8. Department of Small Animal Medicine and Surgery, College of Veterinary Medicine, University of Georgia, Athens, GA, USA

9. Department of Small Animal Clinical Sciences, Texas A&M University College of Veterinary Medicine & Biomedical Sciences, College Station, TX, USA

10. Department of Sociology, University of Washington, Seattle, WA, USA

11. Center for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA

12. Department of Family Medicine, University of Washington, Seattle, WA, USA

13. Department of Epidemiology, University of Washington, Seattle, WA, USA

14. Department of Global Health, University of Washington, Seattle, WA, USA

15. Department of Veterinary Pathobiology, Texas A&M University College of Veterinary Medicine & Biomedical Sciences, College Station, TX, USA

16. Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA

17. Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA

18. Broad Institute of MIT and Harvard, Cambridge, MA, USA

19. Department of Biostatistics, University of Washington, Seattle, WA, USA

20. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA

21. Department of Biology, University of Washington, Seattle, WA, USA

22. Department of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, USA

23. Epidemiology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA

24. Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle, WA, USA

25. School of Life Sciences, Arizona State University, Tempe, AZ, USA

26. Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA

27. School for Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA

28. Treuman Katz Center for Pediatric Bioethics, Seattle Children’s Research Institute, Seattle, WA, USA

29. Department of Pediatrics, Division of Bioethics and Palliative Care, University of Washington School of Medicine, Seattle, WA, USA

Abstract

Background: Biobanks have been supporting longitudinal prospective and retrospective studies by providing standardized services for the acquisition, transport, processing, storage, and distribution of high-quality biological material and associated data. Here, we describe how the Dog Aging Project (DAP), a large-scale longitudinal study of the domestic dog ( Canis familiaris) with translational applications for humans, developed a biobank of canine biospecimens and associated data. Design and methods: This was accomplished by working with the Cornell Veterinary Biobank, the first biobank in the world to receive accreditation to ISO 20387:2018—General Requirements for Biobanking. The biobank research team was involved in the early collection stages of the DAP, contributing to the development of appropriate workflows and processing fit-for-purpose biospecimens. In support of a dynamic strategy for real-time adjustment of processes, a pilot phase was implemented to develop, test, and optimize the biospecimen workflows, followed by an early phase of collection, processing, and banking of specimens from DAP participants. Results: During the pilot and early phases of collection, the DAP Biobank stored 164 aliquots of whole blood, 273 aliquots of peripheral blood mononuclear cells, 130 aliquots of plasma, and 70 aliquots of serum, and extracted high molecular weight genomic DNA suitable for whole-genome sequencing from 109 whole blood specimens. These specimens, along with their associated preanalytical data, have been made available for distribution to researchers. Conclusion: We discuss the challenges and opportunities encountered during the implementation of the DAP Biobank, along with novel strategies for promoting biobanking sustainability such as partnering with a DAP quality assurance manager and a DAP marketing and communication specialist and developing a pilot grant structure to fund small innovative research projects.

Funder

National Institute on Aging

Publisher

SAGE Publications

Subject

Biochemistry (medical),Pharmacology,Molecular Medicine

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