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Your search keyword '"Tamura, Masaru"' showing total 5 results
Start Over Author "Tamura, Masaru" Publisher escholarship, university of california
5 results on '"Tamura, Masaru"'

1. A resource of targeted mutant mouse lines for 5,061 genes

Author

Birling, Marie-Christine, Yoshiki, Atsushi, Adams, David J, Ayabe, Shinya, Beaudet, Arthur L, Bottomley, Joanna, Bradley, Allan, Brown, Steve DM, Bürger, Antje, Bushell, Wendy, Chiani, Francesco, Chin, Hsian-Jean Genie, Christou, Skevoulla, Codner, Gemma F, DeMayo, Francesco J, Dickinson, Mary E, Doe, Brendan, Donahue, Leah Rae, Fray, Martin D, Gambadoro, Alessia, Gao, Xiang, Gertsenstein, Marina, Gomez-Segura, Alba, Goodwin, Leslie O, Heaney, Jason D, Hérault, Yann, de Angelis, Martin Hrabe, Jiang, Si-Tse, Justice, Monica J, Kasparek, Petr, King, Ruairidh E, Kühn, Ralf, Lee, Ho, Lee, Young Jae, Liu, Zhiwei, Lloyd, KC Kent, Lorenzo, Isabel, Mallon, Ann-Marie, McKerlie, Colin, Meehan, Terrence F, Fuentes, Violeta Munoz, Newman, Stuart, Nutter, Lauryl MJ, Oh, Goo Taeg, Pavlovic, Guillaume, Ramirez-Solis, Ramiro, Rosen, Barry, Ryder, Edward J, Santos, Luis A, Schick, Joel, Seavitt, John R, Sedlacek, Radislav, Seisenberger, Claudia, Seong, Je Kyung, Skarnes, William C, Sorg, Tania, Steel, Karen P, Tamura, Masaru, Tocchini-Valentini, Glauco P, Wang, Chi-Kuang Leo, Wardle-Jones, Hannah, Wattenhofer-Donzé, Marie, Wells, Sara, Wiles, Michael V, Willis, Brandon J, Wood, Joshua A, Wurst, Wolfgang, Xu, Ying, Teboul, Lydia, and Murray, Stephen A

Subjects
Biological Sciences, Genetics, Infectious Diseases, Biotechnology, 2.1 Biological and endogenous factors, Animals, Gene Deletion, Genetic Association Studies, Genome, Genotype, Information Dissemination, International Cooperation, Internet, Mice, Mice, Knockout, Mouse Embryonic Stem Cells, Mutagenesis, Phenotype, International Mouse Phenotyping Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

The International Mouse Phenotyping Consortium reports the generation of new mouse mutant strains for over 5,000 genes, including 2,850 novel null, 2,987 novel conditional- ready, and 4,433 novel reporter alleles.

Published
2021

2. Soft windowing application to improve analysis of high-throughput phenotyping data

Author

Haselimashhadi, Hamed, Mason, Jeremy C, Munoz-Fuentes, Violeta, López-Gómez, Federico, Babalola, Kolawole, Acar, Elif F, Kumar, Vivek, White, Jacqui, Flenniken, Ann M, King, Ruairidh, Straiton, Ewan, Seavitt, John Richard, Gaspero, Angelina, Garza, Arturo, Christianson, Audrey E, Hsu, Chih-Wei, Reynolds, Corey L, Lanza, Denise G, Lorenzo, Isabel, Green, Jennie R, Gallegos, Juan J, Bohat, Ritu, Samaco, Rodney C, Veeraragavan, Surabi, Kim, Jong Kyoung, Miller, Gregor, Fuchs, Helmult, Garrett, Lillian, Becker, Lore, Kang, Yeon Kyung, Clary, David, Cho, Soo Young, Tamura, Masaru, Tanaka, Nobuhiko, Soo, Kyung Dong, Bezginov, Alexandr, About, Ghina Bou, Champy, Marie-France, Vasseur, Laurent, Leblanc, Sophie, Meziane, Hamid, Selloum, Mohammed, Reilly, Patrick T, Spielmann, Nadine, Maier, Holger, Gailus-Durner, Valerie, Sorg, Tania, Hiroshi, Masuya, Yuichi, Obata, Heaney, Jason D, Dickinson, Mary E, Wolfgang, Wurst, Tocchini-Valentini, Glauco P, Lloyd, Kevin C Kent, McKerlie, Colin, Seong, Je Kyung, Yann, Herault, de Angelis, Martin Hrabé, Brown, Steve DM, Smedley, Damian, Flicek, Paul, Mallon, Ann-Marie, Parkinson, Helen, and Meehan, Terrence F

Subjects
Biological Sciences, Genetics, Animals, Genetic Association Studies, Humans, Mice, Phenotype, Population Health, Software, Mathematical Sciences, Information and Computing Sciences, Bioinformatics, Biological sciences, Information and computing sciences, Mathematical sciences
Abstract

MotivationHigh-throughput phenomic projects generate complex data from small treatment and large control groups that increase the power of the analyses but introduce variation over time. A method is needed to utlize a set of temporally local controls that maximizes analytic power while minimizing noise from unspecified environmental factors.ResultsHere we introduce 'soft windowing', a methodological approach that selects a window of time that includes the most appropriate controls for analysis. Using phenotype data from the International Mouse Phenotyping Consortium (IMPC), adaptive windows were applied such that control data collected proximally to mutants were assigned the maximal weight, while data collected earlier or later had less weight. We applied this method to IMPC data and compared the results with those obtained from a standard non-windowed approach. Validation was performed using a resampling approach in which we demonstrate a 10% reduction of false positives from 2.5 million analyses. We applied the method to our production analysis pipeline that establishes genotype-phenotype associations by comparing mutant versus control data. We report an increase of 30% in significant P-values, as well as linkage to 106 versus 99 disease models via phenotype overlap with the soft-windowed and non-windowed approaches, respectively, from a set of 2082 mutant mouse lines. Our method is generalizable and can benefit large-scale human phenomic projects such as the UK Biobank and the All of Us resources.Availability and implementationThe method is freely available in the R package SmoothWin, available on CRAN http://CRAN.R-project.org/package=SmoothWin.Supplementary informationSupplementary data are available at Bioinformatics online.

Published
2020

3. Correction: Corrigendum: High-throughput discovery of novel developmental phenotypes

Author

Dickinson, Mary E, Flenniken, Ann M, Ji, Xiao, Teboul, Lydia, Wong, Michael D, White, Jacqueline K, Meehan, Terrence F, Weninger, Wolfgang J, Westerberg, Henrik, Adissu, Hibret, Baker, Candice N, Bower, Lynette, Brown, James M, Caddle, L Brianna, Chiani, Francesco, Clary, Dave, Cleak, James, Daly, Mark J, Denegre, James M, Doe, Brendan, Dolan, Mary E, Edie Helmut Fuchs, Sarah M, Gailus-Durner, Valerie, Galli, Antonella, Gambadoro, Alessia, Gallegos, Juan, Guo, Shiying, Horner, Neil R, Hsu, Chih-Wei, Johnson, Sara J, Kalaga, Sowmya, Keith, Lance C, Lanoue, Louise, Lawson, Thomas N, Lek, Monkol, Mark, Manuel, Marschall, Susan, Mason, Jeremy, McElwee, Melissa L, Nutter, Susan Newbigging Lauryl MJ, Peterson, Kevin A, Ramirez-Solis, Ramiro, Rowland, Douglas J, Ryder, Edward, Samocha, Kaitlin E, Seavitt, John R, Selloum, Mohammed, Szoke-Kovacs, Zsombor, Tamura, Masaru, Trainor, Amanda G, Tudose, Ilinca, Wakana, Shigeharu, Warren, Jonathan, Wendling, Olivia, West, David B, Wong, Leeyean, Yoshiki, Atsushi, Wurst, Wolfgang, MacArthur, Daniel G, Tocchini-Valentini, Glauco P, Gao, Xiang, Flicek, Paul, Bradley, Allan, Skarnes, William C, Justice, Monica J, Parkinson, Helen E, Moore, Mark, Wells, Sara, Braun, Robert E, Svenson, Karen L, de Angelis, Martin Hrabe, Herault, Yann, Mohun, Tim, Mallon, Ann-Marie, Henkelman, R Mark, Brown, Steve DM, Adams, David J, Lloyd, KC Kent, McKerlie, Colin, Beaudet, Arthur L, and Murray, Maja Bućan Stephen A

Subjects
International Mouse Phenotyping Consortium, General Science & Technology
Abstract

This corrects the article DOI: 10.1038/nature19356.

Published
2017

4. High-throughput discovery of novel developmental phenotypes.

Author

Dickinson, Mary E, Flenniken, Ann M, Ji, Xiao, Teboul, Lydia, Wong, Michael D, White, Jacqueline K, Meehan, Terrence F, Weninger, Wolfgang J, Westerberg, Henrik, Adissu, Hibret, Baker, Candice N, Bower, Lynette, Brown, James M, Caddle, L Brianna, Chiani, Francesco, Clary, Dave, Cleak, James, Daly, Mark J, Denegre, James M, Doe, Brendan, Dolan, Mary E, Edie, Sarah M, Fuchs, Helmut, Gailus-Durner, Valerie, Galli, Antonella, Gambadoro, Alessia, Gallegos, Juan, Guo, Shiying, Horner, Neil R, Hsu, Chih-Wei, Johnson, Sara J, Kalaga, Sowmya, Keith, Lance C, Lanoue, Louise, Lawson, Thomas N, Lek, Monkol, Mark, Manuel, Marschall, Susan, Mason, Jeremy, McElwee, Melissa L, Newbigging, Susan, Nutter, Lauryl MJ, Peterson, Kevin A, Ramirez-Solis, Ramiro, Rowland, Douglas J, Ryder, Edward, Samocha, Kaitlin E, Seavitt, John R, Selloum, Mohammed, Szoke-Kovacs, Zsombor, Tamura, Masaru, Trainor, Amanda G, Tudose, Ilinca, Wakana, Shigeharu, Warren, Jonathan, Wendling, Olivia, West, David B, Wong, Leeyean, Yoshiki, Atsushi, International Mouse Phenotyping Consortium, Jackson Laboratory, Infrastructure Nationale PHENOMIN, Institut Clinique de la Souris (ICS), Charles River Laboratories, MRC Harwell, Toronto Centre for Phenogenomics, Wellcome Trust Sanger Institute, RIKEN BioResource Center, MacArthur, Daniel G, Tocchini-Valentini, Glauco P, Gao, Xiang, Flicek, Paul, Bradley, Allan, Skarnes, William C, Justice, Monica J, Parkinson, Helen E, Moore, Mark, Wells, Sara, Braun, Robert E, Svenson, Karen L, de Angelis, Martin Hrabe, Herault, Yann, Mohun, Tim, Mallon, Ann-Marie, Henkelman, R Mark, Brown, Steve DM, Adams, David J, Lloyd, KC Kent, McKerlie, Colin, Beaudet, Arthur L, Bućan, Maja, and Murray, Stephen A

Subjects
International Mouse Phenotyping Consortium, Jackson Laboratory, Infrastructure Nationale PHENOMIN, Institut Clinique de la Souris, Charles River Laboratories, MRC Harwell, Toronto Centre for Phenogenomics, Wellcome Trust Sanger Institute, RIKEN BioResource Center, Animals, Mice, Inbred C57BL, Mice, Knockout, Humans, Mice, Disease, Imaging, Three-Dimensional, Conserved Sequence, Sequence Homology, Phenotype, Penetrance, Mutation, Polymorphism, Single Nucleotide, Genes, Essential, Genes, Lethal, Embryo, Mammalian, Genome-Wide Association Study, High-Throughput Screening Assays, Biotechnology, Human Genome, Pediatric, Congenital Structural Anomalies, Genetics, 2.1 Biological and endogenous factors, General Science & Technology
Abstract

Approximately one-third of all mammalian genes are essential for life. Phenotypes resulting from knockouts of these genes in mice have provided tremendous insight into gene function and congenital disorders. As part of the International Mouse Phenotyping Consortium effort to generate and phenotypically characterize 5,000 knockout mouse lines, here we identify 410 lethal genes during the production of the first 1,751 unique gene knockouts. Using a standardized phenotyping platform that incorporates high-resolution 3D imaging, we identify phenotypes at multiple time points for previously uncharacterized genes and additional phenotypes for genes with previously reported mutant phenotypes. Unexpectedly, our analysis reveals that incomplete penetrance and variable expressivity are common even on a defined genetic background. In addition, we show that human disease genes are enriched for essential genes, thus providing a dataset that facilitates the prioritization and validation of mutations identified in clinical sequencing efforts.

Published
2016

5. Corrigendum: High-throughput discovery of novel developmental phenotypes

Author

Dickinson, Mary E, Flenniken, Ann M, Ji, Xiao, Teboul, Lydia, Wong, Michael D, White, Jacqueline K, Meehan, Terrence F, Weninger, Wolfgang J, Westerberg, Henrik, Adissu, Hibret, Baker, Candice N, Bower, Lynette, Brown, James M, Caddle, L Brianna, Chiani, Francesco, Clary, Dave, Cleak, James, Daly, Mark J, Denegre, James M, Doe, Brendan, Dolan, Mary E, Edie Helmut Fuchs, Sarah M, Gailus-Durner, Valerie, Galli, Antonella, Gambadoro, Alessia, Gallegos, Juan, Guo, Shiying, Horner, Neil R, Hsu, Chih-Wei, Johnson, Sara J, Kalaga, Sowmya, Keith, Lance C, Lanoue, Louise, Lawson, Thomas N, Lek, Monkol, Mark, Manuel, Marschall, Susan, Mason, Jeremy, McElwee, Melissa L, Nutter, Susan Newbigging Lauryl MJ, Peterson, Kevin A, Ramirez-Solis, Ramiro, Rowland, Douglas J, Ryder, Edward, Samocha, Kaitlin E, Seavitt, John R, Selloum, Mohammed, Szoke-Kovacs, Zsombor, Tamura, Masaru, Trainor, Amanda G, Tudose, Ilinca, Wakana, Shigeharu, Warren, Jonathan, Wendling, Olivia, West, David B, Wong, Leeyean, Yoshiki, Atsushi, International Mouse Phenotyping Consortium, Wurst, Wolfgang, MacArthur, Daniel G, Tocchini-Valentini, Glauco P, Gao, Xiang, Flicek, Paul, Bradley, Allan, Skarnes, William C, Justice, Monica J, Parkinson, Helen E, Moore, Mark, Wells, Sara, Braun, Robert E, Svenson, Karen L, de Angelis, Martin Hrabe, Herault, Yann, Mohun, Tim, Mallon, Ann-Marie, Henkelman, R Mark, Brown, Steve DM, Adams, David J, Lloyd, KC Kent, McKerlie, Colin, Beaudet, Arthur L, and Murray, Maja Bućan Stephen A

Subjects
General Science & Technology, International Mouse Phenotyping Consortium
Abstract

This corrects the article DOI: 10.1038/nature19356.

Published
2017

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