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Your search keyword '"John R. Seavitt"' showing total 5 results
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5 results on '"John R. Seavitt"'

1. Impact of essential genes on the success of genome editing experiments generating 3313 new genetically engineered mouse lines

Author

Hillary Elrick, Kevin A. Peterson, Brandon J. Willis, Denise G. Lanza, Elif F. Acar, Edward J. Ryder, Lydia Teboul, Petr Kasparek, Marie-Christine Birling, David J. Adams, Allan Bradley, Robert E. Braun, Steve D. Brown, Adam Caulder, Gemma F. Codner, Francesco J. DeMayo, Mary E. Dickinson, Brendan Doe, Graham Duddy, Marina Gertsenstein, Leslie O. Goodwin, Yann Hérault, Lauri G. Lintott, K. C. Kent Lloyd, Isabel Lorenzo, Matthew Mackenzie, Ann-Marie Mallon, Colin McKerlie, Helen Parkinson, Ramiro Ramirez-Solis, John R. Seavitt, Radislav Sedlacek, William C. Skarnes, Damien Smedley, Sara Wells, Jacqueline K. White, Joshua A. Wood, International Mouse Phenotyping Consortium, Stephen A. Murray, Jason D. Heaney, and Lauryl M. J. Nutter

Subjects
Cas9, Genome editing, Mouse, Knockout, Medicine, Science
Abstract

Abstract The International Mouse Phenotyping Consortium (IMPC) systematically produces and phenotypes mouse lines with presumptive null mutations to provide insight into gene function. The IMPC now uses the programmable RNA-guided nuclease Cas9 for its increased capacity and flexibility to efficiently generate null alleles in the C57BL/6N strain. In addition to being a valuable novel and accessible research resource, the production of 3313 knockout mouse lines using comparable protocols provides a rich dataset to analyze experimental and biological variables affecting in vivo gene engineering with Cas9. Mouse line production has two critical steps – generation of founders with the desired allele and germline transmission (GLT) of that allele from founders to offspring. A systematic evaluation of the variables impacting success rates identified gene essentiality as the primary factor influencing successful production of null alleles. Collectively, our findings provide best practice recommendations for using Cas9 to generate alleles in mouse essential genes, many of which are orthologs of genes linked to human disease.

Published
2024
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2. Whole genome analysis for 163 gRNAs in Cas9-edited mice reveals minimal off-target activity

Author

Kevin A. Peterson, Sam Khalouei, Nour Hanafi, Joshua A. Wood, Denise G. Lanza, Lauri G. Lintott, Brandon J. Willis, John R. Seavitt, Robert E. Braun, Mary E. Dickinson, Jacqueline K. White, K. C. Kent Lloyd, Jason D. Heaney, Stephen A. Murray, Arun Ramani, and Lauryl M. J. Nutter

Subjects
Biology (General), QH301-705.5
Abstract

Abstract Genome editing with CRISPR-associated (Cas) proteins holds exceptional promise for “correcting” variants causing genetic disease. To realize this promise, off-target genomic changes cannot occur during the editing process. Here, we use whole genome sequencing to compare the genomes of 50 Cas9-edited founder mice to 28 untreated control mice to assess the occurrence of S. pyogenes Cas9-induced off-target mutagenesis. Computational analysis of whole-genome sequencing data detects 26 unique sequence variants at 23 predicted off-target sites for 18/163 guides used. While computationally detected variants are identified in 30% (15/50) of Cas9 gene-edited founder animals, only 38% (10/26) of the variants in 8/15 founders validate by Sanger sequencing. In vitro assays for Cas9 off-target activity identify only two unpredicted off-target sites present in genome sequencing data. In total, only 4.9% (8/163) of guides tested have detectable off-target activity, a rate of 0.2 Cas9 off-target mutations per founder analyzed. In comparison, we observe ~1,100 unique variants in each mouse regardless of genome exposure to Cas9 indicating off-target variants comprise a small fraction of genetic heterogeneity in Cas9-edited mice. These findings will inform future design and use of Cas9-edited animal models as well as provide context for evaluating off-target potential in genetically diverse patient populations.

Published
2023
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3. Human and mouse essentiality screens as a resource for disease gene discovery

Author

Pilar Cacheiro, Violeta Muñoz-Fuentes, Stephen A. Murray, Mary E. Dickinson, Maja Bucan, Lauryl M. J. Nutter, Kevin A. Peterson, Hamed Haselimashhadi, Ann M. Flenniken, Hugh Morgan, Henrik Westerberg, Tomasz Konopka, Chih-Wei Hsu, Audrey Christiansen, Denise G. Lanza, Arthur L. Beaudet, Jason D. Heaney, Helmut Fuchs, Valerie Gailus-Durner, Tania Sorg, Jan Prochazka, Vendula Novosadova, Christopher J. Lelliott, Hannah Wardle-Jones, Sara Wells, Lydia Teboul, Heather Cater, Michelle Stewart, Tertius Hough, Wolfgang Wurst, Radislav Sedlacek, David J. Adams, John R. Seavitt, Glauco Tocchini-Valentini, Fabio Mammano, Robert E. Braun, Colin McKerlie, Yann Herault, Martin Hrabě de Angelis, Ann-Marie Mallon, K. C. Kent Lloyd, Steve D. M. Brown, Helen Parkinson, Terrence F. Meehan, Damian Smedley, The Genomics England Research Consortium, and The International Mouse Phenotyping Consortium

Subjects
Science
Abstract

Discovery of causal variants for monogenic disorders has been facilitated by whole exome and genome sequencing, but does not provide a diagnosis for all patients. Here, the authors propose a Full Spectrum of Intolerance to Loss-of-Function (FUSIL) categorization that integrates gene essentiality information to aid disease gene discovery.

Published
2020
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4. Prevalence of sexual dimorphism in mammalian phenotypic traits

Author

Natasha A. Karp, Jeremy Mason, Arthur L. Beaudet, Yoav Benjamini, Lynette Bower, Robert E. Braun, Steve D.M. Brown, Elissa J. Chesler, Mary E. Dickinson, Ann M. Flenniken, Helmut Fuchs, Martin Hrabe de Angelis, Xiang Gao, Shiying Guo, Simon Greenaway, Ruth Heller, Yann Herault, Monica J. Justice, Natalja Kurbatova, Christopher J. Lelliott, K.C. Kent Lloyd, Ann-Marie Mallon, Judith E. Mank, Hiroshi Masuya, Colin McKerlie, Terrence F. Meehan, Richard F. Mott, Stephen A. Murray, Helen Parkinson, Ramiro Ramirez-Solis, Luis Santos, John R. Seavitt, Damian Smedley, Tania Sorg, Anneliese O. Speak, Karen P. Steel, Karen L. Svenson, International Mouse Phenotyping Consortium, Shigeharu Wakana, David West, Sara Wells, Henrik Westerberg, Shay Yaacoby, and Jacqueline K. White

Subjects
Science
Abstract

Systemic dissection of sexually dimorphic phenotypes in mice is lacking. Here, Karp and the International Mouse Phenotype Consortium show that approximately 10% of qualitative traits and 56% of quantitative traits in mice as measured in laboratory setting are sexually dimorphic.

Published
2017
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5. Author Correction: Identification of genes required for eye development by high-throughput screening of mouse knockouts

Author

Bret A. Moore, Brian C. Leonard, Lionel Sebbag, Sydney G. Edwards, Ann Cooper, Denise M. Imai, Ewan Straiton, Luis Santos, Christopher Reilly, Stephen M. Griffey, Lynette Bower, David Clary, Jeremy Mason, Michel J. Roux, Hamid Meziane, Yann Herault, International Mouse Phenotyping Consortium, Colin McKerlie, Ann M. Flenniken, Lauryl M. J. Nutter, Zorana Berberovic, Celeste Owen, Susan Newbigging, Hibret Adissu, Mohammed Eskandarian, Chih-Wei Hsu, Sowmya Kalaga, Uchechukwu Udensi, Chinwe Asomugha, Ritu Bohat, Juan J. Gallegos, John R. Seavitt, Jason D. Heaney, Arthur L. Beaudet, Mary E. Dickinson, Monica J. Justice, Vivek Philip, Vivek Kumar, Karen L. Svenson, Robert E. Braun, Sara Wells, Heather Cater, Michelle Stewart, Sharon Clementson-Mobbs, Russell Joynson, Xiang Gao, Tomohiro Suzuki, Shigeharu Wakana, Damian Smedley, J. K. Seong, Glauco Tocchini-Valentini, Mark Moore, Colin Fletcher, Natasha Karp, Ramiro Ramirez-Solis, Jacqueline K. White, Martin Hrabe de Angelis, Wolfgang Wurst, Sara M. Thomasy, Paul Flicek, Helen Parkinson, Steve D. M. Brown, Terrence F. Meehan, Patsy M. Nishina, Stephen A. Murray, Mark P. Krebs, Ann-Marie Mallon, K. C. Kent Lloyd, Christopher J. Murphy, and Ala Moshiri

Subjects
Biology (General), QH301-705.5
Abstract

In the original published version of the article, Valerie Vancollie was mistakenly omitted from the list of members of the International Mouse Phenotyping Consortium. In addition, recognition of funding from Wellcome Trust grant WT098051 was mistakenly omitted from the Acknowledgements.The errors have been corrected in both the PDF and HTML versions of the paper.

Published
2019
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