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O'Connor, David H

0000-0003-2139-470X

Mayo Clinic

Department of Pathology and Laboratory Medicine, 3170 UW Medical Foundation Centennial Building (MFCB), 1685 Highland Avenue, Madison, WI 53705, USA.

Citations 2

Evolution of a globally unique SARS-CoV-2 Spike E484T monoclonal antibody escape mutation in a persistently infected, immunocompromised individual
Halfmann, Peter , Minor, Nicholas R. , Haddock, Luis A. , Maddox, Robert James, Riemersa, Kasen K., Prasad, A. Mallikarjuna, Alman, Kirsten J., Florek, Kelsey R. , Bateman, Allen , Safdar, Nasia , Andes, David R. , Kawaoka, Yoshihiro , Yao, Joseph D. , O’Connor, David H. , Halfmann, Peter J , Haddock Iii, Luis A , Florek, Kelsey , O'Connor, David H , Maddox, Robert, Moreno, Gage K. , Braun, Katarina M. , Baker, David , Prasad, Ankur, Lambert, Matthew C, Westergaard, Ryan P. , Fida, Madiha , Friedrich, Thomas C.

Virus Evolution | November 5, 2022 | Volume: 9 | Issue: 2 | Pages: No page available

10.1093/ve/veac104 Get It

Abstract Prolonged infections in immunocompromised individuals may be a source for novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants, particularly when both the immune system and antiviral therapy fail to clear the infection and enable within-host evolution. Here we describe a 486-day case of SARS-CoV-2 infection in an immunocompromised individual. Following monotherapy with the monoclonal antibody Bamlanivimab, the individual’s virus acquired resistance, likely via the earliest known occurrence of Spike amino acid variant E484T. Recently, E484T has arisen again as a derivative of E484A in the Omicron Variant of Concern, supporting the hypothesis that prolonged infections can give rise to novel variants long before they become prevalent in the human population.
Promoting validation and cross-phylogenetic integration in model organism research
Cheng, Keith C. , Burdine, Rebecca D. , Dickinson, Mary E. , Lloyd, K. C. Kent , MacRae, Calum A. , Morrison, John H., O’Connor, David H. , Rogers, Crystal D. , Sánchez, Susan , Simpson, J. , Talbot, William S. , Wallace, Douglas C. , Bellen, Hugo J , O'Connor, David H , Ekker, Stephen C. , Lin, Alex Y. , Lutz, Cathleen M. , Postlethwait, John H. , Weimer, Jill M. , Bellen, Hugo J.

Disease Models & Mechanisms | September 20, 2022 | Volume: 15 | Issue: 9 | Pages: No page available

10.1242/dmm.049600 Get It

ABSTRACT Model organism (MO) research provides a basic understanding of biology and disease due to the evolutionary conservation of the molecular and cellular language of life. MOs have been used to identify and understand the function of orthologous genes, proteins, cells and tissues involved in biological processes, to develop and evaluate techniques and methods, and to perform whole-organism-based chemical screens to test drug efficacy and toxicity. However, a growing richness of datasets and the rising power of computation raise an important question: How do we maximize the value of MOs? In-depth discussions in over 50 virtual presentations organized by the National Institutes of Health across more than 10 weeks yielded important suggestions for improving the rigor, validation, reproducibility and translatability of MO research. The effort clarified challenges and opportunities for developing and integrating tools and resources. Maintenance of critical existing infrastructure and the implementation of suggested improvements will play important roles in maintaining productivity and facilitating the validation of animal models of human biology and disease.