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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists Ltd
2022
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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. |
format | Online Article Text |
id | pubmed-9531892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Company of Biologists Ltd |
record_format | MEDLINE/PubMed |
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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