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Promoting validation and cross-phylogenetic integration in model organism research

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...

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Autores principales: Cheng, Keith C., Burdine, Rebecca D., Dickinson, Mary E., Ekker, Stephen C., Lin, Alex Y., Lloyd, K. C. Kent, Lutz, Cathleen M., MacRae, Calum A., Morrison, John H., O'Connor, David H., Postlethwait, John H., Rogers, Crystal D., Sanchez, Susan, Simpson, Julie H., Talbot, William S., Wallace, Douglas C., Weimer, Jill M., Bellen, Hugo J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531892/
https://www.ncbi.nlm.nih.gov/pubmed/36125045
http://dx.doi.org/10.1242/dmm.049600
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author Cheng, Keith C.
Burdine, Rebecca D.
Dickinson, Mary E.
Ekker, Stephen C.
Lin, Alex Y.
Lloyd, K. C. Kent
Lutz, Cathleen M.
MacRae, Calum A.
Morrison, John H.
O'Connor, David H.
Postlethwait, John H.
Rogers, Crystal D.
Sanchez, Susan
Simpson, Julie H.
Talbot, William S.
Wallace, Douglas C.
Weimer, Jill M.
Bellen, Hugo J.
author_facet Cheng, Keith C.
Burdine, Rebecca D.
Dickinson, Mary E.
Ekker, Stephen C.
Lin, Alex Y.
Lloyd, K. C. Kent
Lutz, Cathleen M.
MacRae, Calum A.
Morrison, John H.
O'Connor, David H.
Postlethwait, John H.
Rogers, Crystal D.
Sanchez, Susan
Simpson, Julie H.
Talbot, William S.
Wallace, Douglas C.
Weimer, Jill M.
Bellen, Hugo J.
author_sort Cheng, Keith C.
collection PubMed
description 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.
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spelling pubmed-95318922022-10-05 Promoting validation and cross-phylogenetic integration in model organism research Cheng, Keith C. Burdine, Rebecca D. Dickinson, Mary E. Ekker, Stephen C. Lin, Alex Y. Lloyd, K. C. Kent Lutz, Cathleen M. MacRae, Calum A. Morrison, John H. O'Connor, David H. Postlethwait, John H. Rogers, Crystal D. Sanchez, Susan Simpson, Julie H. Talbot, William S. Wallace, Douglas C. Weimer, Jill M. Bellen, Hugo J. Dis Model Mech Special Article 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. The Company of Biologists Ltd 2022-09-20 /pmc/articles/PMC9531892/ /pubmed/36125045 http://dx.doi.org/10.1242/dmm.049600 Text en © 2022. Published by The Company of Biologists Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Special Article
Cheng, Keith C.
Burdine, Rebecca D.
Dickinson, Mary E.
Ekker, Stephen C.
Lin, Alex Y.
Lloyd, K. C. Kent
Lutz, Cathleen M.
MacRae, Calum A.
Morrison, John H.
O'Connor, David H.
Postlethwait, John H.
Rogers, Crystal D.
Sanchez, Susan
Simpson, Julie H.
Talbot, William S.
Wallace, Douglas C.
Weimer, Jill M.
Bellen, Hugo J.
Promoting validation and cross-phylogenetic integration in model organism research
title Promoting validation and cross-phylogenetic integration in model organism research
title_full Promoting validation and cross-phylogenetic integration in model organism research
title_fullStr Promoting validation and cross-phylogenetic integration in model organism research
title_full_unstemmed Promoting validation and cross-phylogenetic integration in model organism research
title_short Promoting validation and cross-phylogenetic integration in model organism research
title_sort promoting validation and cross-phylogenetic integration in model organism research
topic Special Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531892/
https://www.ncbi.nlm.nih.gov/pubmed/36125045
http://dx.doi.org/10.1242/dmm.049600
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