BMC Infectious Diseases (Nov 2024)
Design, creation, and use of the Test Us Bank (TUB) COVID-19 sample biorepository
- John Broach,
- Chad Achenbach,
- Stephanie Behar,
- Laurel O’Connor,
- Seanan Tarrant,
- Julia Ferranto,
- Colton Wright,
- Paul Hartin,
- Taylor Orwig,
- Janvi Nanavati,
- Benedict Kalibala,
- Kelsey Woods,
- Bernadette Shaw,
- Julie Flahive,
- Bruce Barton,
- Nathaniel Hafer,
- Carly Herbert,
- Nisha Fahey,
- Laura Gibson,
- Karl Simin,
- Timothy Kowalik,
- Doyle V. Ward,
- Agha W. Mirza,
- Robert L. Murphy,
- Matthew Caputo,
- Bryan Buchholz,
- Heidi Fantasia,
- Ainat Koren,
- Lisa Marchand,
- Simisola Oludare,
- Felix Sogade,
- Dana Ritland,
- Cedrice Davis,
- Allen Grenier,
- Christi Baron,
- Ellie Brent,
- Jennifer Bacani McKenney,
- Nancy Elder,
- LeAnn Michaels,
- Laura Ferrara,
- Grant Theron,
- Zaida Palmer,
- Barcey Levy,
- Jeanette Daly,
- Kim Parang,
- Megan Schmidt,
- Denis Buxton,
- William Heetderks,
- Yukari C. Manabe,
- Apurv Soni,
- David McManus
Affiliations
- John Broach
- Department of Emergency Medicine, University of Massachusetts Chan Medical School
- Chad Achenbach
- Division of Infectious Diseases, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University
- Stephanie Behar
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School
- Laurel O’Connor
- Department of Emergency Medicine, University of Massachusetts Chan Medical School
- Seanan Tarrant
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School
- Julia Ferranto
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School
- Colton Wright
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School
- Paul Hartin
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School
- Taylor Orwig
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School
- Janvi Nanavati
- Center for Clinical and Translational Science, University of Massachusetts, University of Massachusetts Chan Medical School
- Benedict Kalibala
- Center for Clinical and Translational Science, University of Massachusetts, University of Massachusetts Chan Medical School
- Kelsey Woods
- Center for Clinical and Translational Science, University of Massachusetts, University of Massachusetts Chan Medical School
- Bernadette Shaw
- Center for Clinical and Translational Science, University of Massachusetts, University of Massachusetts Chan Medical School
- Julie Flahive
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School
- Bruce Barton
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School
- Nathaniel Hafer
- Center for Clinical and Translational Science, University of Massachusetts, University of Massachusetts Chan Medical School
- Carly Herbert
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School
- Nisha Fahey
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School
- Laura Gibson
- Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Chan Medical School
- Karl Simin
- Department of Molecular, Cell, and Cancer Biology, University of Massachusetts Chan Medical School
- Timothy Kowalik
- Department of Microbiology and Physiological Systems, UMass Chan Medical School
- Doyle V. Ward
- Department of Microbiology and Physiological Systems, UMass Chan Medical School
- Agha W. Mirza
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine
- Robert L. Murphy
- Division of Infectious Diseases, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University
- Matthew Caputo
- Division of Infectious Diseases, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University
- Bryan Buchholz
- Department of Biomedical Engineering, University of Massachusetts Lowell
- Heidi Fantasia
- Susan and Alan Solomont School of Nursing, University of Massachusetts Lowell
- Ainat Koren
- Susan and Alan Solomont School of Nursing, University of Massachusetts Lowell
- Lisa Marchand
- Susan and Alan Solomont School of Nursing, University of Massachusetts Lowell
- Simisola Oludare
- Georgia Arrhythmia Consultants and Research Institute
- Felix Sogade
- Georgia Arrhythmia Consultants and Research Institute
- Dana Ritland
- Urban Family Practice, PC
- Cedrice Davis
- Urban Family Practice, PC
- Allen Grenier
- Department of Family Medicine and Community Health, University of Kansas Medical Center
- Christi Baron
- Department of Family Medicine and Community Health, University of Kansas Medical Center
- Ellie Brent
- Department of Family Medicine and Community Health, University of Kansas Medical Center
- Jennifer Bacani McKenney
- Fredonia Family Care
- Nancy Elder
- Oregon Rural Practice-based Research Network, Oregon Health and Science University
- LeAnn Michaels
- Oregon Rural Practice-based Research Network, Oregon Health and Science University
- Laura Ferrara
- Oregon Rural Practice-based Research Network, Oregon Health and Science University
- Grant Theron
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University
- Zaida Palmer
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University
- Barcey Levy
- Department of Family Medicine, University of Massachusetts Chan Medical School
- Jeanette Daly
- Department of Family Medicine, University of Massachusetts Chan Medical School
- Kim Parang
- Department of Family Medicine, University of Massachusetts Chan Medical School
- Megan Schmidt
- Department of Community and Behavioral Health, College of Public Health, University of Iowa
- Denis Buxton
- National Heart, Lung, and Blood Institute, National Institutes of Health
- William Heetderks
- Department of Emergency Medicine, National Heart, Lung, and Blood institute, NIH, via contract with Guidehousel
- Yukari C. Manabe
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine
- Apurv Soni
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School
- David McManus
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School
- DOI
- https://doi.org/10.1186/s12879-024-10154-0
- Journal volume & issue
-
Vol. 24,
no. 1
pp. 1 – 14
Abstract
Abstract Shortly after the first case of SARS-CoV-2 was diagnosed a public health emergency (PHE) was declared and a multi-agency response was initiated within the US federal government to create and propagate testing capacity. As part of this response, an unprecedented program designated Rapid Acceleration of Diagnostics (RADx) Tech was established by the National Institutes of Health (NIH) to facilitate the development of point-of-care tests for the COVID-19. The RADx Tech Clinical Studies Core (CSC), located at the University of Massachusetts Chan Medical School (UMass Chan), with partnering academic, private, and non-governmental organizations around the country, was tasked with developing clinical studies to support this work. This manuscript details development of a biorepository specifically focused on the collection and storage of samples designed for diagnostic platform development. It highlights the unified collection and annotation process that enabled gathering a diverse set of samples. This diversity encompasses the geography and backgrounds of the participants as well as sample characteristics such as variant type and RT-PCR cycle threshold (CT) value of the corresponding reference sample on a uniform clinical reference platform.
