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Your search keyword '"Nutter, Lauryl M. J."' showing total 48 results
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48 results on '"Nutter, Lauryl M. J."'

2. Genome-wide screening reveals the genetic basis of mammalian embryonic eye development

Author

Chee, Justine M., Lanoue, Louise, Clary, Dave, Higgins, Kendall, Bower, Lynette, Flenniken, Ann, Guo, Ruolin, Adams, David J., Bosch, Fatima, Braun, Robert E., Brown, Steve D. M., Chin, H.-J. Genie, Dickinson, Mary E., Hsu, Chih-Wei, Dobbie, Michael, Gao, Xiang, Galande, Sanjeev, Grobler, Anne, Heaney, Jason D., Herault, Yann, de Angelis, Martin Hrabe, Mammano, Fabio, Nutter, Lauryl M. J., Parkinson, Helen, Qin, Chuan, Shiroishi, Toshi, Sedlacek, Radislav, Seong, J-K, Xu, Ying, Brooks, Brian, McKerlie, Colin, Lloyd, K. C. Kent, Westerberg, Henrik, and Moshiri, Ala

Published
2023
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3. Comprehensive ECG reference intervals in C57BL/6N substrains provide a generalizable guide for cardiac electrophysiology studies in mice

Author

Oestereicher, Manuela A., Wotton, Janine M., Ayabe, Shinya, Bou About, Ghina, Cheng, Tsz Kwan, Choi, Jae-Hoon, Clary, Dave, Dew, Emily M., Elfertak, Lahcen, Guimond, Alain, Haseli Mashhadi, Hamed, Heaney, Jason D., Kelsey, Lois, Keskivali-Bond, Piia, Lopez Gomez, Federico, Marschall, Susan, McFarland, Michael, Meziane , Hamid, Munoz Fuentes, Violeta, Nam , Ki-Hoan, Nichtová, Zuzana, Pimm, Dale, Bower, Lynette, Prochazka, Jan, Rozman, Jan, Santos, Luis, Stewart, Michelle, Tanaka, Nobuhiko, Ward, Christopher S., Willett, Amelia M. E., Wilson, Robert, Braun, Robert E., Dickinson, Mary E., Flenniken, Ann M., Herault, Yann, Lloyd, K. C. Kent, Mallon, Ann-Marie, McKerlie, Colin, Murray, Stephen A., Nutter, Lauryl M. J., Sedlacek, Radislav, Seong, Je Kyung, Sorg, Tania, Tamura, Masaru, Wells, Sara, Schneltzer, Elida, Fuchs, Helmut, Gailus-Durner, Valerie, Hrabe de Angelis, Martin, White, Jacqueline K., and Spielmann, Nadine

Published
2023
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4. Mendelian gene identification through mouse embryo viability screening

Author

Cacheiro, Pilar, Westerberg, Carl Henrik, Mager, Jesse, Dickinson, Mary E., Nutter, Lauryl M. J., Muñoz-Fuentes, Violeta, Hsu, Chih-Wei, Van den Veyver, Ignatia B., Flenniken, Ann M., McKerlie, Colin, Murray, Stephen A., Teboul, Lydia, Heaney, Jason D., Lloyd, K. C. Kent, Lanoue, Louise, Braun, Robert E., White, Jacqueline K., Creighton, Amie K., Laurin, Valerie, Guo, Ruolin, Qu, Dawei, Wells, Sara, Cleak, James, Bunton-Stasyshyn, Rosie, Stewart, Michelle, Harrisson, Jackie, Mason, Jeremy, Haseli Mashhadi, Hamed, Parkinson, Helen, Mallon, Ann-Marie, and Smedley, Damian

Published
2022
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5. Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes

Author

Higgins, Kendall, Moore, Bret A., Berberovic, Zorana, Adissu, Hibret A., Eskandarian, Mohammad, Flenniken, Ann M., Shao, Andy, Imai, Denise M., Clary, Dave, Lanoue, Louise, Newbigging, Susan, Nutter, Lauryl M. J., Adams, David J., Bosch, Fatima, Braun, Robert E., Brown, Steve D. M., Dickinson, Mary E., Dobbie, Michael, Flicek, Paul, Gao, Xiang, Galande, Sanjeev, Grobler, Anne, Heaney, Jason D., Herault, Yann, de Angelis, Martin Hrabe, Chin, Hsian-Jean Genie, Mammano, Fabio, Qin, Chuan, Shiroishi, Toshihiko, Sedlacek, Radislav, Seong, J.-K., Xu, Ying, Lloyd, K. C. Kent, McKerlie, Colin, and Moshiri, Ala

Published
2022
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6. Extensive identification of genes involved in congenital and structural heart disorders and cardiomyopathy

Author

Spielmann, Nadine, Miller, Gregor, Oprea, Tudor I., Hsu, Chih-Wei, Fobo, Gisela, Frishman, Goar, Montrone, Corinna, Haseli Mashhadi, Hamed, Mason, Jeremy, Munoz Fuentes, Violeta, Leuchtenberger, Stefanie, Ruepp, Andreas, Wagner, Matias, Westphal, Dominik S., Wolf, Cordula, Görlach, Agnes, Sanz-Moreno, Adrián, Cho, Yi-Li, Teperino, Raffaele, Brandmaier, Stefan, Sharma, Sapna, Galter, Isabella Rikarda, Östereicher, Manuela A., Zapf, Lilly, Mayer-Kuckuk, Philipp, Rozman, Jan, Teboul, Lydia, Bunton-Stasyshyn, Rosie K. A., Cater, Heather, Stewart, Michelle, Christou, Skevoulla, Westerberg, Henrik, Willett, Amelia M., Wotton, Janine M., Roper, Willson B., Christiansen, Audrey E., Ward, Christopher S., Heaney, Jason D., Reynolds, Corey L., Prochazka, Jan, Bower, Lynette, Clary, David, Selloum, Mohammed, Bou About, Ghina, Wendling, Olivia, Jacobs, Hugues, Leblanc, Sophie, Meziane, Hamid, Sorg, Tania, Audain, Enrique, Gilly, Arthur, Rayner, Nigel W., Hitz, Marc-Phillip, Zeggini, Eleftheria, Wolf, Eckhard, Sedlacek, Radislav, Murray, Steven A., Svenson, Karen L., Braun, Robert E., White, Jaqueline K., Kelsey, Lois, Gao, Xiang, Shiroishi, Toshihiko, Xu, Ying, Seong, Je Kyung, Mammano, Fabio, Tocchini-Valentini, Glauco P., Beaudet, Arthur L., Meehan, Terrence F., Parkinson, Helen, Smedley, Damian, Mallon, Ann-Marie, Wells, Sara E., Grallert, Harald, Wurst, Wolfgang, Marschall, Susan, Fuchs, Helmut, Brown, Steve D. M., Flenniken, Ann M., Nutter, Lauryl M. J., McKerlie, Colin, Herault, Yann, Lloyd, K. C. Kent, Dickinson, Mary E., Gailus-Durner, Valerie, and Hrabe de Angelis, Martin

Published
2022
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7. Publisher Correction: Extensive identification of genes involved in congenital and structural heart disorders and cardiomyopathy

Author

Spielmann, Nadine, Miller, Gregor, Oprea, Tudor I., Hsu, Chih-Wei, Fobo, Gisela, Frishman, Goar, Montrone, Corinna, Haseli Mashhadi, Hamed, Mason, Jeremy, Munoz Fuentes, Violeta, Leuchtenberger, Stefanie, Ruepp, Andreas, Wagner, Matias, Westphal, Dominik S., Wolf, Cordula, Görlach, Agnes, Sanz-Moreno, Adrián, Cho, Yi-Li, Teperino, Raffaele, Brandmaier, Stefan, Sharma, Sapna, Galter, Isabella Rikarda, Östereicher, Manuela A., Zapf, Lilly, Mayer-Kuckuk, Philipp, Rozman, Jan, Teboul, Lydia, Bunton-Stasyshyn, Rosie K. A., Cater, Heather, Stewart, Michelle, Christou, Skevoulla, Westerberg, Henrik, Willett, Amelia M., Wotton, Janine M., Roper, Willson B., Christiansen, Audrey E., Ward, Christopher S., Heaney, Jason D., Reynolds, Corey L., Prochazka, Jan, Bower, Lynette, Clary, David, Selloum, Mohammed, Bou About, Ghina, Wendling, Olivia, Jacobs, Hugues, Leblanc, Sophie, Meziane, Hamid, Sorg, Tania, Audain, Enrique, Gilly, Arthur, Rayner, Nigel W., Hitz, Marc-Phillip, Zeggini, Eleftheria, Wolf, Eckhard, Sedlacek, Radislav, Murray, Steven A., Svenson, Karen L., Braun, Robert E., White, Jaqueline K., Kelsey, Lois, Gao, Xiang, Shiroishi, Toshihiko, Xu, Ying, Seong, Je Kyung, Mammano, Fabio, Tocchini-Valentini, Glauco P., Beaudet, Arthur L., Meehan, Terrence F., Parkinson, Helen, Smedley, Damian, Mallon, Ann-Marie, Wells, Sara E., Grallert, Harald, Wurst, Wolfgang, Marschall, Susan, Fuchs, Helmut, Brown, Steve D. M., Flenniken, Ann M., Nutter, Lauryl M. J., McKerlie, Colin, Herault, Yann, Lloyd, K. C. Kent, Dickinson, Mary E., Gailus-Durner, Valerie, and Hrabe de Angelis, Martin

Published
2022
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8. 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 D. M., 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, K. C. Kent, Lorenzo, Isabel, Mallon, Ann-Marie, McKerlie, Colin, Meehan, Terrence F., Fuentes, Violeta Munoz, Newman, Stuart, Nutter, Lauryl M. J., 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.

Published
2021
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9. Multiple reaction monitoring assays for large-scale quantitation of proteins from 20 mouse organs and tissues

Author

Michaud, Sarah A., primary, Pětrošová, Helena, additional, Sinclair, Nicholas J., additional, Kinnear, Andrea L., additional, Jackson, Angela M., additional, McGuire, Jamie C., additional, Hardie, Darryl B., additional, Bhowmick, Pallab, additional, Ganguly, Milan, additional, Flenniken, Ann M., additional, Nutter, Lauryl M. J., additional, McKerlie, Colin, additional, Smith, Derek, additional, Mohammed, Yassene, additional, Schibli, David, additional, Sickmann, Albert, additional, and Borchers, Christoph H., additional

Published
2024
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13. The Deep Genome Project

Author

Lloyd, K. C. Kent, Adams, David J., Baynam, Gareth, Beaudet, Arthur L., Bosch, Fatima, Boycott, Kym M., Braun, Robert E., Caulfield, Mark, Cohn, Ronald, Dickinson, Mary E., Dobbie, Michael S., Flenniken, Ann M., Flicek, Paul, Galande, Sanjeev, Gao, Xiang, Grobler, Anne, Heaney, Jason D., Herault, Yann, de Angelis, Martin Hrabě, Lupski, James R., Lyonnet, Stanislas, Mallon, Ann-Marie, Mammano, Fabio, MacRae, Calum A., McInnes, Roderick, McKerlie, Colin, Meehan, Terrence F., Murray, Stephen A., Nutter, Lauryl M. J., Obata, Yuichi, Parkinson, Helen, Pepper, Michael S., Sedlacek, Radislav, Seong, Je Kyung, Shiroishi, Toshihiko, Smedley, Damian, Tocchini-Valentini, Glauco, Valle, David, Wang, Chi-Kuang Leo, Wells, Sara, White, Jacqueline, Wurst, Wolfgang, Xu, Ying, and Brown, Steve D. M.

Published
2020
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15. Genome-wide screening of mouse knockouts reveals novel genes required for normal integumentary and oculocutaneous structure and function

Author

Moore, Bret A., Flenniken, Ann M., Clary, Dave, Moshiri, Ata S., Nutter, Lauryl M. J., Berberovic, Zorana, Owen, Celeste, Newbigging, Susan, Adissu, Hibret, Eskandarian, Mohammad, McKerlie, Colin, International Mouse Phenotyping Consortium, Thomasy, Sara M., Lloyd, K. C. Kent, Murphy, Christopher J., and Moshiri, Ala

Published
2019
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16. Identification of genes required for eye development by high-throughput screening of mouse knockouts

Author

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

Published
2018
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17. Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics

Author

Hrabě de Angelis, Martin, Nicholson, George, Selloum, Mohammed, White, Jacqueline K, Morgan, Hugh, Ramirez-Solis, Ramiro, Sorg, Tania, Wells, Sara, Fuchs, Helmut, Fray, Martin, Adams, David J, Adams, Niels C, Adler, Thure, Aguilar-Pimentel, Antonio, Ali-Hadji, Dalila, Amann, Gregory, André, Philippe, Atkins, Sarah, Auburtin, Aurelie, Ayadi, Abdel, Becker, Julien, Becker, Lore, Bedu, Elodie, Bekeredjian, Raffi, Birling, Marie-Christine, Blake, Andrew, Bottomley, Joanna, Bowl, Michael R, Brault, Véronique, Busch, Dirk H, Bussell, James N, Calzada-Wack, Julia, Cater, Heather, Champy, Marie-France, Charles, Philippe, Chevalier, Claire, Chiani, Francesco, Codner, Gemma F, Combe, Roy, Cox, Roger, Dalloneau, Emilie, Dierich, André, Di Fenza, Armida, Doe, Brendan, Duchon, Arnaud, Eickelberg, Oliver, Esapa, Chris T, Fertak, Lahcen El, Feigel, Tanja, Emelyanova, Irina, Estabel, Jeanne, Favor, Jack, Flenniken, Ann, Gambadoro, Alessia, Garrett, Lilian, Gates, Hilary, Gerdin, Anna-Karin, Gkoutos, George, Greenaway, Simon, Glasl, Lisa, Goetz, Patrice, Da Cruz, Isabelle Goncalves, Götz, Alexander, Graw, Jochen, Guimond, Alain, Hans, Wolfgang, Hicks, Geoff, Hölter, Sabine M, Höfler, Heinz, Hancock, John M, Hoehndorf, Robert, Hough, Tertius, Houghton, Richard, Hurt, Anja, Ivandic, Boris, Jacobs, Hughes, Jacquot, Sylvie, Jones, Nora, Karp, Natasha A, Katus, Hugo A, Kitchen, Sharon, Klein-Rodewald, Tanja, Klingenspor, Martin, Klopstock, Thomas, Lalanne, Valerie, Leblanc, Sophie, Lengger, Christoph, le Marchand, Elise, Ludwig, Tonia, Lux, Aline, McKerlie, Colin, Maier, Holger, Mandel, Jean-Louis, Marschall, Susan, Mark, Manuel, Melvin, David G, Meziane, Hamid, Micklich, Kateryna, Mittelhauser, Christophe, Monassier, Laurent, Moulaert, David, Muller, Stéphanie, Naton, Beatrix, Neff, Frauke, Nolan, Patrick M, Nutter, Lauryl M J, Ollert, Markus, Pavlovic, Guillaume, Pellegata, Natalia S, Peter, Emilie, Petit-Demoulière, Benoit, Pickard, Amanda, Podrini, Christine, Potter, Paul, Pouilly, Laurent, Puk, Oliver, Richardson, David, Rousseau, Stephane, Quintanilla-Fend, Leticia, Quwailid, Mohamed M, Racz, Ildiko, Rathkolb, Birgit, Riet, Fabrice, Rossant, Janet, Roux, Michel, Rozman, Jan, Ryder, Edward, Salisbury, Jennifer, Santos, Luis, Schäble, Karl-Heinz, Schiller, Evelyn, Schrewe, Anja, Schulz, Holger, Steinkamp, Ralf, Simon, Michelle, Stewart, Michelle, Stöger, Claudia, Stöger, Tobias, Sun, Minxuan, Sunter, David, Teboul, Lydia, Tilly, Isabelle, Tocchini-Valentini, Glauco P, Tost, Monica, Treise, Irina, Vasseur, Laurent, Velot, Emilie, Vogt-Weisenhorn, Daniela, Wagner, Christelle, Walling, Alison, Wattenhofer-Donze, Marie, Weber, Bruno, Wendling, Olivia, Westerberg, Henrik, Willershäuser, Monja, Wolf, Eckhard, Wolter, Anne, Wood, Joe, Wurst, Wolfgang, Yildirim, Ali Önder, Zeh, Ramona, Zimmer, Andreas, Zimprich, Annemarie, Holmes, Chris, Steel, Karen P, Herault, Yann, Gailus-Durner, Valérie, Mallon, Ann-Marie, and Brown, Steve D M

Published
2015
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19. Additional file 2 of Mendelian gene identification through mouse embryo viability screening

Author

Cacheiro, Pilar, Westerberg, Carl Henrik, Mager, Jesse, Dickinson, Mary E., Nutter, Lauryl M. J., Muñoz-Fuentes, Violeta, Hsu, Chih-Wei, Van den Veyver, Ignatia B., Flenniken, Ann M., McKerlie, Colin, Murray, Stephen A., Teboul, Lydia, Heaney, Jason D., Lloyd, K. C. Kent, Lanoue, Louise, Braun, Robert E., White, Jacqueline K., Creighton, Amie K., Laurin, Valerie, Guo, Ruolin, Qu, Dawei, Wells, Sara, Cleak, James, Bunton-Stasyshyn, Rosie, Stewart, Michelle, Harrisson, Jackie, Mason, Jeremy, Haseli Mashhadi, Hamed, Parkinson, Helen, Mallon, Ann-Marie, and Smedley, Damian

Abstract

Additional file 2: Fig. S1. WoL and cell essentiality scores. Fig. S2. WoL and cell essentiality categorisation. Fig. S3. WoL and additional gene features. Fig. S4. WoL and paralogues features. Fig. S5. WoL and additional disease features. Fig. S6. Prediction of early lethal genes. Fig. S7. Enrichment analysis of genes sharing attributes with a BIEM gene among the EL category.

Published
2022
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20. Additional file 1 of Mendelian gene identification through mouse embryo viability screening

Author

Cacheiro, Pilar, Westerberg, Carl Henrik, Mager, Jesse, Dickinson, Mary E., Nutter, Lauryl M. J., Muñoz-Fuentes, Violeta, Hsu, Chih-Wei, Van den Veyver, Ignatia B., Flenniken, Ann M., McKerlie, Colin, Murray, Stephen A., Teboul, Lydia, Heaney, Jason D., Lloyd, K. C. Kent, Lanoue, Louise, Braun, Robert E., White, Jacqueline K., Creighton, Amie K., Laurin, Valerie, Guo, Ruolin, Qu, Dawei, Wells, Sara, Cleak, James, Bunton-Stasyshyn, Rosie, Stewart, Michelle, Harrisson, Jackie, Mason, Jeremy, Haseli Mashhadi, Hamed, Parkinson, Helen, Mallon, Ann-Marie, and Smedley, Damian

Abstract

Additional file 1: Table S1. Gene features: Human cellular essential genes. Table S2. Gene features: Gene expression in human brain. Table S3. Gene features: Intolerance to variation metrics and paralogues. Table S4. Disease features. Table S5. HPO phenotypes Odds Ratios. Table S6. Comparison of our approach based on EL genes with other strategies based on standard scores thresholds: F-score. Table S7. Odds Ratios and 95% CI from multiple logistic regression analysis.

Published
2022
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22. Human and mouse essentiality screens as a resource for disease gene discovery

Author

Cacheiro, Pilar, Muñoz-Fuentes, Violeta, Westerberg, Henrik, Scott, R. H., Siddiq, A., Sieghart, A., Smith, K. R., Sosinsky, A., Spooner, W., Stevens, H. E., Stuckey, A., Sultana, R., Thomas, E. R. A., Konopka, Tomasz, Thompson, S. R., Tregidgo, C., Tucci, A., Walsh, E., Watters, S. A., Welland, M. J., Williams, E., Witkowska, K., Wood, S. M., Zarowiecki, M., Hsu, Chih-Wei, Marschall, Susan, Lengger, Christoph, Maier, Holger, Seisenberger, Claudia, Bürger, Antje, Kühn, Ralf, Schick, Joel, Hörlein, Andreas, Oritz, Oskar, Giesert, Florian, Christiansen, Audrey, Beig, Joachim, Kenyon, Janet, Codner, Gemma, Fray, Martin, Johnson, Sara J, Cleak, James, Szoke-Kovacs, Zsombor, Lafont, David, Vancollie, Valerie E, McLaren, Robbie S B, Lanza, Denise G, Hughes-Hallett, Lena, Rowley, Christine, Sanderson, Emma, Galli, Antonella, Tuck, Elizabeth, Green, Angela, Tudor, Catherine, Siragher, Emma, Dabrowska, Monika, Mazzeo, Cecilia Icoresi, Beaudet, Arthur L, Griffiths, Mark, Gannon, David, Doe, Brendan, Cockle, Nicola, Kirton, Andrea, Bottomley, Joanna, Ingle, Catherine, Ryder, Edward, Gleeson, Diane, Ramirez-Solis, Ramiro, Heaney, Jason D, Birling, Marie-Christine, Pavlovic, Guillaume, Ayadi, Abdel, Hamid, Meziane, About, Ghina Bou, Champy, Marie-France, Jacobs, Hugues, Wendling, Olivia, Leblanc, Sophie, Vasseur, Laurent, Fuchs, Helmut, Chesler, Elissa J, Kumar, Vivek, White, Jacqueline K, Svenson, Karen L, Wiegand, Jean-Paul, Anderson, Laura L, Wilcox, Troy, Clark, James, Ryan, Jennifer, Denegre, James, Gailus-Durner, Valerie, Stearns, Tim, Philip, Vivek, Witmeyer, Catherine, Bates, Lindsay, Seavey, Zachary, Stanley, Pamela, Willet, Amelia, Roper, Willson, Creed, Julie, Moore, Michayla, Sorg, Tania, Dorr, Alex, Fraungruber, Pamelia, Presby, Rose, Mckay, Matthew, Nguyen-Bresinsky, Dong, Goodwin, Leslie, Urban, Rachel, Kane, Coleen, Murray, Stephen A, Prochazka, Jan, Novosadova, Vendula, Lelliott, Christopher J, Wardle-Jones, Hannah, Wells, Sara, Teboul, Lydia, Cater, Heather, Stewart, Michelle, Hough, Tertius, Wurst, Wolfgang, Dickinson, Mary E, Sedlacek, Radislav, Adams, David J, Seavitt, John R, Tocchini-Valentini, Glauco, Mammano, Fabio, Braun, Robert E, McKerlie, Colin, Herault, Yann, de Angelis, Martin Hrabě, Mallon, Ann-Marie, Bucan, Maja, Lloyd, K C Kent, Brown, Steve D M, Parkinson, Helen, Meehan, Terrence F, Smedley, Damian, Consortium, Genomics England Research, Consortium, International Mouse Phenotyping, Ambrose, J. C., Arumugam, P., Baple, E. L., Nutter, Lauryl M J, Bleda, M., Boardman-Pretty, F., Boissiere, J. M., Boustred, C. R., Brittain, H., Caulfield, M. J., Chan, G. C., Craig, C. E. H., Daugherty, L. C., de Burca, A., Peterson, Kevin A, Devereau, A., Elgar, G., Foulger, R. E., Fowler, T., Furió-Tarí, P., Hackett, J. M., Halai, D., Hamblin, A., Henderson, S., Holman, J. E., Haselimashhadi, Hamed, Hubbard, T. J. P., Ibáñez, K., Jackson, R., Jones, L. J., Kasperaviciute, D., Kayikci, M., Lahnstein, L., Lawson, K., Leigh, S. E. A., Leong, I. U. S., Flenniken, Ann M, Lopez, F. J., Maleady-Crowe, F., Mason, J., McDonagh, E. M., Moutsianas, L., Mueller, M., Murugaesu, N., Need, A. C., Odhams, C. A., Patch, C., Morgan, Hugh, Perez-Gil, D., Polychronopoulos, D., Pullinger, J., Rahim, T., Rendon, A., Riesgo-Ferreiro, P., Rogers, T., Ryten, M., Savage, K., Sawant, K., Cacheiro, Pilar [0000-0002-6335-8208], Muñoz-Fuentes, Violeta [0000-0003-3574-546X], Nutter, Lauryl MJ [0000-0001-9619-146X], Peterson, Kevin A [0000-0001-8353-3694], Haselimashhadi, Hamed [0000-0001-7334-2421], Konopka, Tomasz [0000-0003-3042-4712], Hsu, Chih-Wei [0000-0002-9591-9567], Lanza, Denise G [0000-0001-8750-6933], Heaney, Jason D [0000-0001-8475-8828], Fuchs, Helmut [0000-0002-5143-2677], Gailus-Durner, Valerie [0000-0002-6076-0111], Lelliott, Christopher J [0000-0001-8087-4530], Adams, David J [0000-0001-9490-0306], Mammano, Fabio [0000-0003-3751-1691], McKerlie, Colin [0000-0002-2232-0967], Herault, Yann [0000-0001-7049-6900], de Angelis, Martin Hrabě [0000-0002-7898-2353], Lloyd, KC Kent [0000-0002-5318-4144], Smedley, Damian [0000-0002-5836-9850], Apollo - University of Cambridge Repository, Queen Mary University of London (QMUL), European Bioinformatics Institute [Hinxton] (EMBL-EBI), EMBL Heidelberg, The Jackson Laboratory [Bar Harbor] (JAX), Baylor College of Medicine (BCM), Baylor University, University of Pennsylvania, The Hospital for sick children [Toronto] (SickKids), Mount Sinai Hospital [Toronto, Canada] (MSH), MRC Harwell Institute [UK], Helmholtz Zentrum München = German Research Center for Environmental Health, Institut Clinique de la Souris (ICS), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), French National Infrastructure for Mouse Phenogenomics (PHENOMIN), Institute of Molecular Genetics of the Czech Academy of Sciences (IMG / CAS), Czech Academy of Sciences [Prague] (CAS), The Wellcome Trust Sanger Institute [Cambridge], Technische Universität München = Technical University of Munich (TUM), Ludwig-Maximilians-Universität München (LMU), CNR - Italian National Research Council (CNR), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), German Center for Diabetes Research - Deutsches Zentrum für Diabetesforschung [Neuherberg] (DZD), University of California [Davis] (UC Davis), University of California (UC), J C Ambrose, P Arumugam, E L Baple, M Bleda, F Boardman-Pretty, J M Boissiere, C R Boustred, H Brittain, M J Caulfield, G C Chan, C E H Craig, L C Daugherty, A de Burca, A Devereau, G Elgar, R E Foulger, T Fowler, P Furió-Tarí, J M Hackett, D Halai, A Hamblin, S Henderson, J E Holman, T J P Hubbard, K Ibáñez, R Jackson, L J Jones, D Kasperaviciute, M Kayikci, L Lahnstein, K Lawson, S E A Leigh, I U S Leong, F J Lopez, F Maleady-Crowe, J Mason, E M McDonagh, L Moutsianas, M Mueller, N Murugaesu, A C Need, C A Odhams, C Patch, D Perez-Gil, D Polychronopoulos, J Pullinger, T Rahim, A Rendon, P Riesgo-Ferreiro, T Rogers, M Ryten, K Savage, K Sawant, R H Scott, A Siddiq, A Sieghart, K R Smith, A Sosinsky, W Spooner, H E Stevens, A Stuckey, R Sultana, E R A Thomas, S R Thompson, C Tregidgo, A Tucci, E Walsh, S A Watters, M J Welland, E Williams, K Witkowska, S M Wood, M Zarowiecki, Susan Marschall, Christoph Lengger, Holger Maier, Claudia Seisenberger, Antje Bürger, Ralf Kühn, Joel Schick, Andreas Hörlein, Oskar Oritz, Florian Giesert, Joachim Beig, Janet Kenyon, Gemma Codner, Martin Fray, Sara J Johnson, James Cleak, Zsombor Szoke-Kovacs, David Lafont, Valerie E Vancollie, Robbie S B McLaren, Lena Hughes-Hallett, Christine Rowley, Emma Sanderson, Antonella Galli, Elizabeth Tuck, Angela Green, Catherine Tudor, Emma Siragher, Monika Dabrowska, Cecilia Icoresi Mazzeo, Mark Griffiths, David Gannon, Brendan Doe, Nicola Cockle, Andrea Kirton, Joanna Bottomley, Catherine Ingle, Edward Ryder, Diane Gleeson, Ramiro Ramirez-Solis, Marie-Christine Birling, Guillaume Pavlovic, Abdel Ayadi, Meziane Hamid, Ghina Bou About, Marie-France Champy, Hugues Jacobs, Olivia Wendling, Sophie Leblanc, Laurent Vasseur, Elissa J Chesler, Vivek Kumar, Jacqueline K White, Karen L Svenson, Jean-Paul Wiegand, Laura L Anderson, Troy Wilcox, James Clark, Jennifer Ryan, James Denegre, Tim Stearns, Vivek Philip, Catherine Witmeyer, Lindsay Bates, Zachary Seavey, Pamela Stanley, Amelia Willet, Willson Roper, Julie Creed, Michayla Moore, Alex Dorr, Pamelia Fraungruber, Rose Presby, Matthew Mckay, Dong Nguyen-Bresinsky, Leslie Goodwin, Rachel Urban, Coleen Kane, Herault, Yann, and Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)

Subjects
0301 basic medicine, Mutation rate, Cancer Research, [SDV]Life Sciences [q-bio], General Physics and Astronomy, methods [Genetic Association Studies], Disease, VARIANTS, Mice, Essential, 0302 clinical medicine, IMPC, Genetics research, Lethal allele, 2.1 Biological and endogenous factors, Aetiology, lcsh:Science, Organism, ComputingMilieux_MISCELLANEOUS, Disease gene, Mice, Knockout, 0303 health sciences, Multidisciplinary, Genes, Essential, genetics [Disease], Genomics, R/BIOCONDUCTOR PACKAGE, DATABASE, UPDATE, GENOME, [SDV] Life Sciences [q-bio], Knockout mouse, Identification (biology), ddc:500, International Mouse Phenotyping Consortium, Technology Platforms, Biotechnology, Knockout, Science, Computational biology, Biology, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, Genetics, medicine, Animals, Humans, Genetic variation, Clinical genetics, Gene, Genetic Association Studies, 030304 developmental biology, Disease model, Prevention, Human Genome, General Chemistry, medicine.disease, Developmental disorder, Good Health and Well Being, 030104 developmental biology, Genomics England Research Consortium, Genes, lcsh:Q, Generic health relevance, 030217 neurology & neurosurgery, Rare disease
Abstract

The identification of causal variants in sequencing studies remains a considerable challenge that can be partially addressed by new gene-specific knowledge. Here, we integrate measures of how essential a gene is to supporting life, as inferred from viability and phenotyping screens performed on knockout mice by the International Mouse Phenotyping Consortium and essentiality screens carried out on human cell lines. We propose a cross-species gene classification across the Full Spectrum of Intolerance to Loss-of-function (FUSIL) and demonstrate that genes in five mutually exclusive FUSIL categories have differing biological properties. Most notably, Mendelian disease genes, particularly those associated with developmental disorders, are highly overrepresented among genes non-essential for cell survival but required for organism development. After screening developmental disorder cases from three independent disease sequencing consortia, we identify potentially pathogenic variants in genes not previously associated with rare diseases. We therefore propose FUSIL as an efficient approach for disease gene discovery., 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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23. Process and Workflow for Preparation of Disparate Mouse Tissues for Proteomic Analysis

Author

Michaud, Sarah A., primary, Pětrošová, Helena, additional, Jackson, Angela M., additional, McGuire, Jamie C., additional, Sinclair, Nicholas J., additional, Ganguly, Milan, additional, Flenniken, Ann M., additional, Nutter, Lauryl M. J., additional, McKerlie, Colin, additional, Schibli, David, additional, Smith, Derek, additional, and Borchers, Christoph H., additional

Published
2020
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24. The occurrence of tarsal injuries in male mice of C57BL/6N substrains in multiple international mouse facilities

Author

Herbert, Eleanor, primary, Stewart, Michelle, additional, Hutchison, Marie, additional, Flenniken, Ann M., additional, Qu, Dawei, additional, Nutter, Lauryl M. J., additional, McKerlie, Colin, additional, Hobson, Liane, additional, Kick, Brenda, additional, Lyons, Bonnie, additional, Wiegand, Jean-Paul, additional, Doty, Rosalinda, additional, Aguilar-Pimentel, Juan Antonio, additional, Hrabe de Angelis, Martin, additional, Dickinson, Mary, additional, Seavitt, John, additional, White, Jacqueline K., additional, Scudamore, Cheryl L., additional, and Wells, Sara, additional

Published
2020
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25. Structural Variant in Mitochondrial-Associated Gene (MRPL3) Induces Adult-Onset Neurodegeneration with Memory Impairment in the Mouse

Author

Cahill, Lindsay S., primary, Cameron, Jessie M., additional, Winterburn, Julie, additional, Macos, Patrick, additional, Hoggarth, Johnathan, additional, Dzamba, Misko, additional, Brudno, Michael, additional, Nutter, Lauryl M. J., additional, Sproule, Thomas J., additional, Burgess, Robert W., additional, Henkelman, R. Mark, additional, and Sled, John G., additional

Published
2020
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26. 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 M. J., 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, McKay, Matthew, Urban, Barbara, Lund, Caroline, Froeter, Erin, LaCasse, Taylor, Mehalow, Adrienne, Gordon, Emily, Donahue, Leah Rae, Taft, Robert, Kutney, Peter, Dion, Stephanie, Goodwin, Leslie, Kales, Susan, Urban, Rachel, Palmer, Kristina, Pertuy, Fabien, Bitz, Deborah, Weber, Bruno, Goetz-Reiner, Patrice, Jacobs, Hughes, Le Marchand, Elise, El Amri, Amal, El Fertak, Leila, Ennah, Hamid, Ali-Hadji, Dalila, Ayadi, Abdel, Wattenhofer-Donze, Marie, Jacquot, Sylvie, Andr, Philippe, Birling, Marie-Christine, Pavlovic, Guillaume, Sorg, Tania, Morse, Iva, Benso, Frank, Stewart, Michelle E., Copley, Carol, Harrison, Jackie, Joynson, Samantha, Guo, Ruolin, Qu, Dawei, Spring, Shoshana, Yu, Lisa, Ellegood, Jacob, Morikawa, Lily, Shang, Xueyuan, Feugas, Pat, Creighton, Amie, Castellanos Penton, Patricia, Danisment, Ozge, Griggs, Nicola, Tudor, Catherine L., Green, Angela L., Icoresi Mazzeo, Cecilia, Siragher, Emma, Lillistone, Charlotte, Tuck, Elizabeth, Gleeson, Diane, Sethi, Debarati, Bayzetinova, Tanya, Burvill, Jonathan, Habib, Bishoy, Weavers, Lauren, Maswood, Ryea, Miklejewska, Evelina, Woods, Michael, Grau, Evelyn, Newman, Stuart, Sinclair, Caroline, Brown, Ellen, Ayabe, Shinya, Iwama, Mizuho, Murakami, Ayumi, 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 D. M., Adams, David J., Lloyd, K. C. Kent, McKerlie, Colin, Beaudet, Arthur L., Buan, Maja, and Murray, Stephen A.

Subjects
Phenotypes -- Research, Genetic research, High-throughput screening (Biochemical assaying) -- Methods, Environmental issues, Science and technology, Zoology and wildlife conservation
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., Author(s): Mary E. Dickinson [1]; Ann M. Flenniken [2, 3]; Xiao Ji [4]; Lydia Teboul [5]; Michael D. Wong [2, 6]; Jacqueline K. White [7]; Terrence F. Meehan [8]; Wolfgang [...]

Published
2016
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27. Identification of genetic elements in metabolism by high-throughput mouse phenotyping

Author

Rozman, Jan, Rathkolb, Birgit, Meehan, Terrence F, Codner, Gemma F, Fiegel, Tanja, Ring, Natalie, Westerberg, Henrik, Greenaway, Simon, Sneddon, Duncan, Morgan, Hugh, Loeffler, Jorik, Stewart, Michelle E, Ramirez-Solis, Ramiro, Mason, Jeremy, Bradley, Allan, Skarnes, William C, Steel, Karen P, Maguire, Simon A, Dench, Joshua, Lafont, David, Vancollie, Valerie E, Pearson, Selina A, Gates, Amy S, Sanderson, Mark, Haselimashhadi, Hamed, Shannon, Carl, Anthony, Lauren F E, Sumowski, Maksymilian T, McLaren, Robbie S B, Doe, Brendan, Wardle-Jones, Hannah, Griffiths, Mark N D, Galli, Antonella, Swiatkowska, Agnieszka, Isherwood, Christopher M, Consortium, IMPC, Speak, Anneliese O, Cambridge, Emma L, Wilson, Heather M, Caetano, Susana S, Maguire, Anna Karin B, Adams, David J, Bottomley, Joanna, Ryder, Ed, Gleeson, Diane, Pouilly, Laurent, Hough, Tertius, Rousseau, Stephane, Auburtin, Aurélie, Reilly, Patrick, Ayadi, Abdel, Selloum, Mohammed, Wood, Joshua A, Clary, Dave, Havel, Peter, Tolentino, Todd, Tolentino, Heather, Mallon, Ann-Marie, Schuchbauer, Mike, Pedroia, Sheryl, Trainor, Amanda, Djan, Esi, Pham, Milton, Huynh, Alison, De Vera, Vincent, Seavitt, John, Gallegos, Juan, Garza, Arturo, Wells, Sara, Mangin, Elise, Senderstrom, Joel, Lazo, Iride, Mowrey, Kate, Bohat, Ritu, Samaco, Rodney, Veeraragavan, Surabi, Beeton, Christine, Kalaga, Sowmya, Kelsey, Lois, Santos, Luis, Vukobradovic, Igor, Berberovic, Zorana, Owen, Celeste, Qu, Dawei, Guo, Ruolin, Newbigging, Susan, Morikawa, Lily, Law, Napoleon, Shang, Xueyuan, Feugas, Patricia, Lelliott, Christopher J, Wang, Yanchun, Eskandarian, Mohammad, Zhu, Yingchun, Penton, Patricia, Laurin, Valerie, Clarke, Shannon, Lan, Qing, Sleep, Gillian, Creighton, Amie, Jacob, Elsa, White, Jacqueline K, Danisment, Ozge, Gertsenstein, Marina, Pereira, Monica, MacMaster, Suzanne, Tondat, Sandra, Carroll, Tracy, Cabezas, Jorge, Hunter, Jane, Clark, Greg, Bubshait, Mohammed, Oestereicher, Manuela A, Sorg, Tania, Miller, David, Sohel, Khondoker, Adissu, Hibret, Ganguly, Milan, Bezginov, Alexandr, Chiani, Francesco, Di Pietro, Chiara, Di Segni, Gianfranco, Ermakova, Olga, Ferrara, Filomena, Champy, Marie-France, Fruscoloni, Paolo, Gambadoro, Aalessia, Gastaldi, Serena, Golini, Elisabetta, La Sala, Gina, Mandillo, Silvia, Marazziti, Daniela, Massimi, Marzia, Matteoni, Rafaele, Orsini, Tiziana, Bower, Lynette R, Pasquini, Miriam, Raspa, Marcello, Rauch, Aline, Rossi, Gianfranco, Rossi, Nicoletta, Putti, Sabrina, Scavizzi, Ferdinando, Tocchini-Valentini, Giuseppe D, Wakana, Shigeharu, Suzuki, Tomohiro, Reynolds, Corey L, Tamura, Masaru, Kaneda, Hideki, Furuse, Tamio, Kobayashi, Kimio, Miura, Ikuo, Yamada, Ikuko, Obata, Yuichi, Yoshiki, Atsushi, Ayabe, Shinya, Chambers, J Nicole, Flenniken, Ann M, Chalupsky, Karel, Seisenberger, Claudia, Bürger, Antje, Beig, Joachim, Kühn, Ralf, Hörlein, Andreas, Schick, Joel, Oritz, Oskar, Giesert, Florian, Graw, Jochen, Murray, Stephen A, Ollert, Markus, Schmidt-Weber, Carsten, Stoeger, Tobias, Önder Yildirim, Ali, Eickelberg, Oliver, Klopstock, Thomas, Busch, Dirk H, Bekeredjian, Raffi, Zimmer, Andreas, Jacobsen, Jules O, Nutter, Lauryl M J, Smedley, Damian, Dickinson, Mary E, Benso, Frank, Morse, Iva, Kim, Hyoung-Chin, Lee, Ho, Cho, Soo Young, Svenson, Karen L, West, David, Tocchini-Valentini, Glauco P, Schütt, Christine, Beaudet, Arthur L, Bosch, Fatima, Braun, Robert B, Dobbie, Michael S, Gao, Xiang, Herault, Yann, Moshiri, Ala, Moore, Bret A, Kent Lloyd, K. C., McKerlie, Colin, Ravindranath, Aakash Chavan, Masuya, Hiroshi, Tanaka, Nobuhiko, Flicek, Paul, Parkinson, Helen E, Sedlacek, Radislav, Seong, Je Kyung, Wang, Chi-Kuang Leo, Moore, Mark, Brown, Steve D, Tschöp, Matthias H, Leuchtenberger, Stefanie, Wurst, Wolfgang, Klingenspor, Martin, Wolf, Eckhard, Beckers, Johannes, Machicao, Fausto, Peter, Andreas, Staiger, Harald, Häring, Hans-Ulrich, Grallert, Harald, Campillos, Monica, Sharma, Sapna, Maier, Holger, Fuchs, Helmut, Gailus-Durner, Valerie, Werner, Thomas, Hrabe de Angelis, Martin, Aguilar-Pimentel, Antonio, Becker, Lore, Treise, Irina, Moreth, Kristin, Garrett, Lillian, Kistler, Martin, Hölter, Sabine M, Zimprich, Annemarie, Marschall, Susan, Amarie, Oana V, Calzada-Wack, Julia, Neff, Frauke, Brachthäuser, Laura, Lengger, Christoph, Stoeger, Claudia, Zapf, Lilly, Willershäuser, Monja, Cho, Yi-Li, da Silva-Buttkus, Patricia, Kraiger, Markus J, Mayer-Kuckuk, Philipp, Gampe, Karen Kristine, Wu, Moya, Conte, Nathalie, Warren, Jonathan, Chen, Chao-Kung, Tudose, Ilinca, Brommage, Robert, Relac, Mike, Matthews, Peter, Cater, Heather L, Natukunda, Helen P, Cleak, James, Teboul, Lydia M, Clementson-Mobbs, Sharon, Szoke-Kovacs, Zsombor, Walling, Alison P, Johnson, Sara J, Rozman, Jan [0000-0002-8035-8904], Kistler, Martin [0000-0003-0116-7761], Mason, Jeremy [0000-0002-2796-5123], Lelliott, Christopher J [0000-0001-8087-4530], Herault, Yann [0000-0001-7049-6900], Kent Lloyd, KC [0000-0002-5318-4144], McKerlie, Colin [0000-0002-2232-0967], Flicek, Paul [0000-0002-3897-7955], Maier, Holger [0000-0003-2514-8290], Fuchs, Helmut [0000-0002-5143-2677], Hrabe de Angelis, Martin [0000-0002-7898-2353], and Apollo - University of Cambridge Repository

Subjects
0301 basic medicine, Blood Glucose, Candidate gene, Cancer Research, Basal Metabolism/genetics, Gene regulatory network, Obesity/genetics, genetics [Metabolic Diseases], General Physics and Astronomy, Genome-wide association study, Genome, Mice, genetics [Obesity], Triglycerides/metabolism, 2.1 Biological and endogenous factors, Gene Regulatory Networks, Aetiology, lcsh:Science, metabolism [Blood Glucose], Mice, Knockout, Multidisciplinary, genetics [Basal Metabolism], Phenotype, Area Under Curve, Diabetes Mellitus, Type 2/genetics, ddc:500, Technology Platforms, Type 2, metabolism [Triglycerides], Knockout, Science, Computational biology, Biology, genetics [Diabetes Mellitus, Type 2], General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, Oxygen Consumption, Metabolic Diseases, Body Weight/genetics, Diabetes Mellitus, Genetics, Animals, Humans, Metabolic Diseases/genetics, Obesity, Gene, Gene knockout, Triglycerides, Oxygen Consumption/genetics, Blood Glucose/metabolism, genetics [Body Weight], Human Genome, Body Weight, Promoter, General Chemistry, genetics [Oxygen Consumption], High-Throughput Screening Assays, 030104 developmental biology, Diabetes Mellitus, Type 2, IMPC Consortium, lcsh:Q, Basal Metabolism, Genome-Wide Association Study
Abstract

Metabolic diseases are a worldwide problem but the underlying genetic factors and their relevance to metabolic disease remain incompletely understood. Genome-wide research is needed to characterize so-far unannotated mammalian metabolic genes. Here, we generate and analyze metabolic phenotypic data of 2016 knockout mouse strains under the aegis of the International Mouse Phenotyping Consortium (IMPC) and find 974 gene knockouts with strong metabolic phenotypes. 429 of those had no previous link to metabolism and 51 genes remain functionally completely unannotated. We compared human orthologues of these uncharacterized genes in five GWAS consortia and indeed 23 candidate genes are associated with metabolic disease. We further identify common regulatory elements in promoters of candidate genes. As each regulatory element is composed of several transcription factor binding sites, our data reveal an extensive metabolic phenotype-associated network of co-regulated genes. Our systematic mouse phenotype analysis thus paves the way for full functional annotation of the genome., The genetic basis of metabolic diseases is incompletely understood. Here, by high-throughput phenotyping of 2,016 knockout mouse strains, Rozman and colleagues identify candidate metabolic genes, many of which are associated with unexplored regulatory gene networks and metabolic traits in human GWAS.

Published
2018

28. A Comprehensive Plasma Metabolomics Dataset for a Cohort of Mouse Knockouts within the International Mouse Phenotyping Consortium

Author

Barupal, Dinesh K., primary, Zhang, Ying, additional, Shen, Tong, additional, Fan, Sili, additional, Roberts, Bryan S., additional, Fitzgerald, Patrick, additional, Wancewicz, Benjamin, additional, Valdiviez, Luis, additional, Wohlgemuth, Gert, additional, Byram, Gregory, additional, Choy, Ying Yng, additional, Haffner, Bennett, additional, Showalter, Megan R., additional, Vaniya, Arpana, additional, Bloszies, Clayton S., additional, Folz, Jacob S., additional, Kind, Tobias, additional, Flenniken, Ann M., additional, McKerlie, Colin, additional, Nutter, Lauryl M. J., additional, Lloyd, Kent C., additional, and Fiehn, Oliver, additional

Published
2019
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30. High-throughput discovery of genetic determinants of circadian misalignment.

Author

Zhang, Tao, Xie, Pancheng, Dong, Yingying, Liu, Zhiwei, Zhou, Fei, Pan, Dejing, Huang, Zhengyun, Zhai, Qiaocheng, Gu, Yue, Wu, Qingyu, Tanaka, Nobuhiko, Obata, Yuichi, Bradley, Allan, Lelliott, Christopher J., Nutter, Lauryl M. J., McKerlie, Colin, Flenniken, Ann M., Champy, Marie-France, Sorg, Tania, and Herault, Yann

Subjects
SUPRACHIASMATIC nucleus, MOLECULAR clock, CELL communication, JET lag, INGESTION, SLEEP disorders
Abstract

Circadian systems provide a fitness advantage to organisms by allowing them to adapt to daily changes of environmental cues, such as light/dark cycles. The molecular mechanism underlying the circadian clock has been well characterized. However, how internal circadian clocks are entrained with regular daily light/dark cycles remains unclear. By collecting and analyzing indirect calorimetry (IC) data from more than 2000 wild-type mice available from the International Mouse Phenotyping Consortium (IMPC), we show that the onset time and peak phase of activity and food intake rhythms are reliable parameters for screening defects of circadian misalignment. We developed a machine learning algorithm to quantify these two parameters in our misalignment screen (SyncScreener) with existing datasets and used it to screen 750 mutant mouse lines from five IMPC phenotyping centres. Mutants of five genes (Slc7a11, Rhbdl1, Spop, Ctc1 and Oxtr) were found to be associated with altered patterns of activity or food intake. By further studying the Slc7a11tm1a/tm1a mice, we confirmed its advanced activity phase phenotype in response to a simulated jetlag and skeleton photoperiod stimuli. Disruption of Slc7a11 affected the intercellular communication in the suprachiasmatic nucleus, suggesting a defect in synchronization of clock neurons. Our study has established a systematic phenotype analysis approach that can be used to uncover the mechanism of circadian entrainment in mice. Author summary: Synchronization to environmental changes such as day and night cycles and seasonal cycles is critical for survival. Organisms have therefore evolved a specialized circadian system to anticipate and adapt to daily changes in the environment. Loss of synchrony between the internal circadian clock and environment day and night changes is responsible for jet lag, but may also promote sleep disorders, metabolic disorders and many diseases. The availability of large amounts of mouse data from the International Mouse Phenotype Consortium provides new opportunities to identify novel genetic components of mouse behaviour and metabolism. In this study, we performed a high-throughput identification of genetic components of circadian misalignment by developing a machine learning-based algorithm. By analyzing the indirect calorimetry parameters from more than 2000 C57BL/6N mice and mice from 750 mutant lines, we identified 5 genes involved in circadian misalignment of activity and feeding behaviour. Further analyzing genetic knock-out mice for one of these genes, we were able to validate our screening method by functional studies. Our systemic analysis thus paves the way for searching the genetic determinants for circadian misalignment. [ABSTRACT FROM AUTHOR]

Published
2020
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33. A novel isoform of myosin 18A (Myo18Aβ) is an essential sarcomeric protein in mouse hear.

Author

Horsthemke, Markus, Nutter, Lauryl M. J., Bachg, Anne C., Skryabin, Boris V., Honnert, Ulrike, Zobel, Thomas, Bogdan, Sven, Stoll, Monika, Seidl, Matthias D., Müller, Frank U., Ravens, Ursula, Unger, Andreas, Linke, Wolfgang A., van Gorp, Pim R. R., de Vries, Antoine A. F., Bähler, Martin, and Hanleya, Peter J.

Subjects
*MYOSIN, *CELL morphology, *WESTERN immunoblotting, *MICE, *KNOCKOUT mice, *CELL motility
Abstract

Whereas myosin 18B (Myo18B) is known to be a critical sarcomeric protein, the function of myosin 18A (Myo18A) is unclear, although it has been implicated in cell motility and Golgi shape. Here, we show that homozygous deletion (homozygous tm1a, tm1b, or tm1d alleles) of Myo18a in mouse is embryonic lethal. Reminiscent of Myo18b, Myo18a was highly expressed in the embryo heart, and cardiac-restricted Myo18a deletion in mice was embryonic lethal. Surprisingly, using Western blot analysis, we were unable to detect the known isoforms of Myo18A, Myo18Aα and Myo18Aγ, in mouse heart using a custom C-terminal antibody. However, alternative anti-Myo18A antibodies detected a larger than expected protein, and RNA-Seq analysis indicated that a novel Myo18A transcript is expressed in mouse ventricular myocytes (and human heart). Cloning and sequencing revealed that this cardiac isoform, denoted Myo18Aβ, lacks the PDZ-containingNterminus of Myo18Aα but includes an alternative N-terminal extension and a long serine-rich C terminus. EGFP-tagged Myo18Aβ expressed in ventricular myocytes localized to the level of A-bands in sarcomeres, and Myo18a knockout embryos at day 10.5 exhibited disorganized sarcomeres with wavy thick filaments. We additionally generated myeloid-restricted Myo18a knockout mice to investigate the role of Myo18A in nonmuscle cells, exemplified by macrophages, which express more Myo18Aγ than Myo18Aα, but no defects in cell shape, motility, or Golgi shape were detected. In summary, we have identified a previously unrecognized sarcomere component, a large novel isoform (denoted Myo18Aβ) of Myo18A. Thus, both members of class XVIII myosins are critical components of cardiac sarcomeres. [ABSTRACT FROM AUTHOR]

Published
2019
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34. The International Mouse Phenotyping Consortium (IMPC): a functional catalogue of the mammalian genome that informs conservation.

Author

Muñoz-Fuentes, Violeta, Cacheiro, Pilar, Meehan, Terrence F., Aguilar-Pimentel, Juan Antonio, Brown, Steve D. M., Flenniken, Ann M., Flicek, Paul, Galli, Antonella, Mashhadi, Hamed Haseli, Hrabě de Angelis, Martin, Kim, Jong Kyoung, Lloyd, K. C. Kent, McKerlie, Colin, Morgan, Hugh, Murray, Stephen A., Nutter, Lauryl M. J., Reilly, Patrick T., Seavitt, John R., Seong, Je Kyung, and Simon, Michelle

Subjects
MAMMAL genetics, PHENOTYPES, ENDANGERED species, BIOINFORMATICS, GENOTYPES, GENETIC mutation
Abstract

The International Mouse Phenotyping Consortium (IMPC) is building a catalogue of mammalian gene function by producing and phenotyping a knockout mouse line for every protein-coding gene. To date, the IMPC has generated and characterised 5186 mutant lines. One-third of the lines have been found to be non-viable and over 300 new mouse models of human disease have been identified thus far. While current bioinformatics efforts are focused on translating results to better understand human disease processes, IMPC data also aids understanding genetic function and processes in other species. Here we show, using gorilla genomic data, how genes essential to development in mice can be used to help assess the potentially deleterious impact of gene variants in other species. This type of analyses could be used to select optimal breeders in endangered species to maintain or increase fitness and avoid variants associated to impaired-health phenotypes or loss-of-function mutations in genes of critical importance. We also show, using selected examples from various mammal species, how IMPC data can aid in the identification of candidate genes for studying a condition of interest, deliver information about the mechanisms involved, or support predictions for the function of genes that may play a role in adaptation. With genotyping costs decreasing and the continued improvements of bioinformatics tools, the analyses we demonstrate can be routinely applied. [ABSTRACT FROM AUTHOR]

Published
2018
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35. Disease model discovery from 3,328 gene knockouts by The International Mouse Phenotyping Consortium

Author

Meehan, Terrence F, Conte, Nathalie, West, David B, Jacobsen, Julius O, Mason, Jeremy, Warren, Jonathan, Chen, Chao-Kung, Tudose, Ilinca, Relac, Mike, Matthews, Peter, Karp, Natasha, Santos, Luis, Fiegel, Tanja, Ring, Natalie, Westerberg, Henrik, Greenaway, Simon, Sneddon, Duncan, Morgan, Hugh, Codner, Gemma F, Stewart, Michelle E, Brown, James, Horner, Neil, Haendel, Melissa, Washington, Nicole, Mungall, Christopher J, Reynolds, Corey L, Gallegos, Juan, Gailus-Durner, Valerie, Sorg, Tania, Pavlovic, Guillaume, Bower, Lynette R, Moore, Mark, Morse, Iva, Gao, Xiang, Tocchini-Valentini, Glauco P, Obata, Yuichi, Cho, Soo Young, Seong, Je Kyung, Seavitt, John, Beaudet, Arthur L, Dickinson, Mary E, Herault, Yann, Wurst, Wolfgang, de Angelis, Martin Hrabe, Lloyd, K C Kent, Flenniken, Ann M, Nutter, Lauryl M J, Newbigging, Susan, McKerlie, Colin, Justice, Monica J, Murray, Stephen A, Svenson, Karen L, Braun, Robert E, White, Jacqueline K, Bradley, Allan, Flicek, Paul, Wells, Sara, Skarnes, William C, Adams, David J, Parkinson, Helen, Mallon, Ann-Marie, Brown, Steve D M, and Smedley, Damian

Abstract

Although next-generation sequencing has revolutionized the ability to associate variants with human diseases, diagnostic rates and development of new therapies are still limited by a lack of knowledge of the functions and pathobiological mechanisms of most genes. To address this challenge, the International Mouse Phenotyping Consortium is creating a genome- and phenome-wide catalog of gene function by characterizing new knockout-mouse strains across diverse biological systems through a broad set of standardized phenotyping tests. All mice will be readily available to the biomedical community. Analyzing the first 3,328 genes identified models for 360 diseases, including the first models, to our knowledge, for type C Bernard–Soulier, Bardet–Biedl-5 and Gordon Holmes syndromes. 90% of our phenotype annotations were novel, providing functional evidence for 1,092 genes and candidates in genetically uncharacterized diseases including arrhythmogenic right ventricular dysplasia 3. Finally, we describe our role in variant functional validation with The 100,000 Genomes Project and others.

Published
2017
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36. Correction to: The International Mouse Phenotyping Consortium (IMPC): a functional catalogue of the mammalian genome that informs conservation.

Author

Muñoz-Fuentes, Violeta, Cacheiro, Pilar, Meehan, Terrence F., Aguilar-Pimentel, Juan Antonio, Beaudet, Arthur L., Brown, Steve D. M., Dickinson, Mary E., Flenniken, Ann M., Flicek, Paul, Galli, Antonella, Mashhadi, Hamed Haseli, Heaney, Jason D., Hrabě de Angelis, Martin, Kim, Jong Kyoung, Lloyd, K. C. Kent, McKerlie, Colin, Morgan, Hugh, Murray, Stephen A., Nutter, Lauryl M. J., and Reilly, Patrick T.

Subjects
MICE genetics, CONSERVATION biology, GENOMICS
Abstract

The original publication of this article unfortunately contained the following mistakes. [ABSTRACT FROM AUTHOR]

Published
2019
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37. Author Correction: Identification of genes required for eye development by high-throughput screening of mouse knockouts.

Author

Moore, Bret A., Leonard, Brian C., Sebbag, Lionel, Edwards, Sydney G., Cooper, Ann, Imai, Denise M., Straiton, Ewan, Santos, Luis, Reilly, Christopher, Griffey, Stephen M., Bower, Lynette, Clary, David, Mason, Jeremy, Roux, Michel J., Meziane, Hamid, Herault, Yann, McKerlie, Colin, Flenniken, Ann M., Nutter, Lauryl M. J., and Berberovic, Zorana

Subjects
GENES, EYE development
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. [ABSTRACT FROM AUTHOR]

Published
2019
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38. Electrophysiological Alterations of Pyramidal Cells and Interneurons of the CA1 Region of the Hippocampus in a Novel Mouse Model of Dravet Syndrome.

Author

Dyment, David A., Schock, Sarah C., Deloughery, Kristen, Minh Hieu Tran, Ure, Kerstin, Nutter, Lauryl M. J., Creighton, Amie, Yuan, Julie, Banderali, Umberto, Comas, Tanya, Baumann, Ewa, Jezierski, Anna, Consortium, Rare Canada, Boycott, Kym M., Mackenzie, Alex E., and Martina, Marzia

Subjects
*BRAIN physiology, *HIPPOCAMPUS physiology, *NEURAL physiology, *ANALYSIS of variance, *ANIMAL experimentation, *COMPARATIVE studies, *ELECTROPHYSIOLOGY, *FIBROBLASTS, *GENE expression, *IMMUNOHISTOCHEMISTRY, *MICE, *GENETIC mutation, *STATISTICS, *STEM cells, *SURVIVAL analysis (Biometry), *SURVIVAL, *T-test (Statistics), *WESTERN immunoblotting, *PHENOTYPES, *DATA analysis, *DATA analysis software, *DESCRIPTIVE statistics, *KAPLAN-Meier estimator, *ONE-way analysis of variance, *DRAVET syndrome
Abstract

Dravet syndrome is a developmental epileptic encephalopathy caused by pathogenic variation in SCN1A. To characterize the pathogenic substitution (p.H939R) of a local individual with Dravet syndrome, fibroblast cells from the individual were reprogrammed to pluripotent stem cells and differentiated into neurons. Sodium currents of these neurons were compared with healthy control induced neurons. A novel Scn1aH939R/+ mouse model was generated with the p.H939R substitution. Immunohistochemistry and electrophysiological experiments were performed on hippocampal slices of Scn1aH939R/+ mice. We found that the sodium currents recorded in the proband-induced neurons were significantly smaller and slower compared to wild type (WT). The resting membrane potential and spike amplitude were significantly depolarized in the proband-induced neurons. Similar differences in resting membrane potential and spike amplitude were observed in the interneurons of the hippocampus of Scn1aH939R/+ mice. The Scn1aH939R/+ mice showed the characteristic features of a Dravet-like phenotype: increased mortality and both spontaneous and heat-induced seizures. Immunohistochemistry showed a reduction in amount of parvalbumin and vesicular acetylcholine transporter in the hippocampus of Scn1aH939R/+ compared to WT mice. Overall, these results underline hyper-excitability of the hippocampal CA1 circuit of this novel mouse model of Dravet syndrome which, under certain conditions, such as temperature, can trigger seizure activity. This hyperexcitability is due to the altered electrophysiological properties of pyramidal neurons and interneurons which are caused by the dysfunction of the sodium channel bearing the p.H939R substitution. This novel Dravet syndrome model also highlights the reduction in acetylcholine and the contribution of pyramidal cells, in addition to interneurons, to network hyper-excitability. [ABSTRACT FROM AUTHOR]

Published
2020
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39. Impact of essential genes on the success of genome editing experiments generating 3313 new genetically engineered mouse lines.

Author

Elrick H, Peterson KA, Willis BJ, Lanza DG, Acar EF, Ryder EJ, Teboul L, Kasparek P, Birling MC, Adams DJ, Bradley A, Braun RE, Brown SD, Caulder A, Codner GF, DeMayo FJ, Dickinson ME, Doe B, Duddy G, Gertsenstein M, Goodwin LO, Hérault Y, Lintott LG, Lloyd KCK, Lorenzo I, Mackenzie M, Mallon AM, McKerlie C, Parkinson H, Ramirez-Solis R, Seavitt JR, Sedlacek R, Skarnes WC, Smedley D, Wells S, White JK, Wood JA, Murray SA, Heaney JD, and Nutter LMJ

Subjects
Animals, Mice, CRISPR-Cas Systems, Alleles, Mice, Inbred C57BL, Male, Female, Genetic Engineering methods, Phenotype, Genes, Essential, Gene Editing methods, Mice, Knockout
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., (© 2024. The Author(s).)

Published
2024
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40. Improving laboratory animal genetic reporting: LAG-R guidelines.

Author

Teboul L, Amos-Landgraf J, Benavides FJ, Birling MC, Brown SDM, Bryda E, Bunton-Stasyshyn R, Chin HJ, Crispo M, Delerue F, Dobbie M, Franklin CL, Fuchtbauer EM, Gao X, Golzio C, Haffner R, Hérault Y, Hrabe de Angelis M, Lloyd KCK, Magnuson TR, Montoliu L, Murray SA, Nam KH, Nutter LMJ, Pailhoux E, Pardo Manuel de Villena F, Peterson K, Reinholdt L, Sedlacek R, Seong JK, Shiroishi T, Smith C, Takeo T, Tinsley L, Vilotte JL, Warming S, Wells S, Whitelaw CB, Yoshiki A, and Pavlovic G

Subjects
Animals, Reproducibility of Results, Research Design, Animal Experimentation standards, Biomedical Research standards, Animals, Laboratory genetics, Guidelines as Topic
Abstract

The biomedical research community addresses reproducibility challenges in animal studies through standardized nomenclature, improved experimental design, transparent reporting, data sharing, and centralized repositories. The ARRIVE guidelines outline documentation standards for laboratory animals in experiments, but genetic information is often incomplete. To remedy this, we propose the Laboratory Animal Genetic Reporting (LAG-R) framework. LAG-R aims to document animals' genetic makeup in scientific publications, providing essential details for replication and appropriate model use. While verifying complete genetic compositions may be impractical, better reporting and validation efforts enhance reliability of research. LAG-R standardization will bolster reproducibility, peer review, and overall scientific rigor., (© 2024. The Author(s).)

Published
2024
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41. Genetic and Molecular Quality Control of Genetically Engineered Mice.

Author

Lintott LG and Nutter LMJ

Subjects
Mice, Animals, Humans, Embryonic Stem Cells, Transgenes, Quality Control, CRISPR-Cas Systems, Mammals genetics, Gene Editing methods, Genetic Engineering
Abstract

Genetically engineered mice are used as avatars to understand mammalian gene function and develop therapies for human disease. During genetic modification, unintended changes can occur, and these changes may result in misassigned gene-phenotype relationships leading to incorrect or incomplete experimental interpretations. The types of unintended changes that may occur depend on the allele type being made and the genetic engineering approach used. Here we broadly categorize allele types as deletions, insertions, base changes, and transgenes derived from engineered embryonic stem (ES) cells or edited mouse embryos. However, the methods we describe can be adapted to other allele types and engineering strategies. We describe the sources and consequ ences of common unintended changes and best practices for detecting both intended and unintended changes by screening and genetic and molecular quality control (QC) of chimeras, founders, and their progeny. Employing these practices, along with careful allele design and good colony management, will increase the chance that investigations using genetically engineered mice will produce high-quality reproducible results, to enable a robust understanding of gene function, human disease etiology, and therapeutic development., (© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Published
2023
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42. Identifying genetic determinants of inflammatory pain in mice using a large-scale gene-targeted screen.

Author

Wotton JM, Peterson E, Flenniken AM, Bains RS, Veeraragavan S, Bower LR, Bubier JA, Parisien M, Bezginov A, Haselimashhadi H, Mason J, Moore MA, Stewart ME, Clary DA, Delbarre DJ, Anderson LC, D'Souza A, Goodwin LO, Harrison ME, Huang Z, Mckay M, Qu D, Santos L, Srinivasan S, Urban R, Vukobradovic I, Ward CS, Willett AM, Braun RE, Brown SDM, Dickinson ME, Heaney JD, Kumar V, Lloyd KCK, Mallon AM, McKerlie C, Murray SA, Nutter LMJ, Parkinson H, Seavitt JR, Wells S, Samaco RC, Chesler EJ, Smedley D, Diatchenko L, Baumbauer KM, Young EE, Bonin RP, Mandillo S, and White JK

Subjects
Animals, Freund's Adjuvant toxicity, Mice, Mice, Knockout, Pain Measurement, Nociception, Pain genetics
Abstract

Abstract: Identifying the genetic determinants of pain is a scientific imperative given the magnitude of the global health burden that pain causes. Here, we report a genetic screen for nociception, performed under the auspices of the International Mouse Phenotyping Consortium. A biased set of 110 single-gene knockout mouse strains was screened for 1 or more nociception and hypersensitivity assays, including chemical nociception (formalin) and mechanical and thermal nociception (von Frey filaments and Hargreaves tests, respectively), with or without an inflammatory agent (complete Freund's adjuvant). We identified 13 single-gene knockout strains with altered nocifensive behavior in 1 or more assays. All these novel mouse models are openly available to the scientific community to study gene function. Two of the 13 genes (Gria1 and Htr3a) have been previously reported with nociception-related phenotypes in genetically engineered mouse strains and represent useful benchmarking standards. One of the 13 genes (Cnrip1) is known from human studies to play a role in pain modulation and the knockout mouse reported herein can be used to explore this function further. The remaining 10 genes (Abhd13, Alg6, BC048562, Cgnl1, Cp, Mmp16, Oxa1l, Tecpr2, Trim14, and Trim2) reveal novel pathways involved in nociception and may provide new knowledge to better understand genetic mechanisms of inflammatory pain and to serve as models for therapeutic target validation and drug development., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the International Association for the Study of Pain.)

Published
2022
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43. Production of knockout mouse lines with Cas9.

Author

Gertsenstein M and Nutter LMJ

Subjects
Animals, Electroporation, Endonucleases genetics, Endonucleases metabolism, Gene Knockout Techniques, Mice, Mice, Knockout, Zygote metabolism, RNA, Guide, CRISPR-Cas Systems, CRISPR-Cas Systems genetics, Gene Editing
Abstract

Knockout mice are used extensively to explore the phenotypic effects of mammalian gene dysfunction. With the application of RNA-guided Cas9 nuclease technology for the production of knockout mouse lines, the time, as well as the resources needed, to progress from identification of a gene of interest to production of a knockout line is significantly reduced. Here we present our standard methodology to produce knockout mouse lines by the electroporation of Cas9 ribonucleoprotein (RNP) into mouse zygotes. Using this protocol, we have obtained an 80% success rate in the generation of founders for null alleles with a subsequent 93% germline transmission rate. These methods rely on equipment already present in the majority of transgenic facilities and should be straightforward to implement where appropriate embryo handling expertise exists., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2021
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44. Mouse mutant phenotyping at scale reveals novel genes controlling bone mineral density.

Author

Swan AL, Schütt C, Rozman J, Del Mar Muñiz Moreno M, Brandmaier S, Simon M, Leuchtenberger S, Griffiths M, Brommage R, Keskivali-Bond P, Grallert H, Werner T, Teperino R, Becker L, Miller G, Moshiri A, Seavitt JR, Cissell DD, Meehan TF, Acar EF, Lelliott CJ, Flenniken AM, Champy MF, Sorg T, Ayadi A, Braun RE, Cater H, Dickinson ME, Flicek P, Gallegos J, Ghirardello EJ, Heaney JD, Jacquot S, Lally C, Logan JG, Teboul L, Mason J, Spielmann N, McKerlie C, Murray SA, Nutter LMJ, Odfalk KF, Parkinson H, Prochazka J, Reynolds CL, Selloum M, Spoutil F, Svenson KL, Vales TS, Wells SE, White JK, Sedlacek R, Wurst W, Lloyd KCK, Croucher PI, Fuchs H, Williams GR, Bassett JHD, Gailus-Durner V, Herault Y, Mallon AM, Brown SDM, Mayer-Kuckuk P, and Hrabe de Angelis M

Subjects
Animals, Female, Gene Ontology, Genetic Pleiotropy, Genome-Wide Association Study, Genotype, Male, Mice, Mice, Transgenic, Mutation, Osteoblasts pathology, Osteoclasts pathology, Osteoporosis metabolism, Phenotype, Promoter Regions, Genetic, Protein Interaction Maps, Sex Characteristics, Transcriptome, Bone Density genetics, Gene Expression Regulation genetics, Osteoblasts metabolism, Osteoclasts metabolism, Osteoporosis genetics
Abstract

The genetic landscape of diseases associated with changes in bone mineral density (BMD), such as osteoporosis, is only partially understood. Here, we explored data from 3,823 mutant mouse strains for BMD, a measure that is frequently altered in a range of bone pathologies, including osteoporosis. A total of 200 genes were found to significantly affect BMD. This pool of BMD genes comprised 141 genes with previously unknown functions in bone biology and was complementary to pools derived from recent human studies. Nineteen of the 141 genes also caused skeletal abnormalities. Examination of the BMD genes in osteoclasts and osteoblasts underscored BMD pathways, including vesicle transport, in these cells and together with in silico bone turnover studies resulted in the prioritization of candidate genes for further investigation. Overall, the results add novel pathophysiological and molecular insight into bone health and disease., Competing Interests: The authors have declared that no competing interests exist.

Published
2020
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45. Human and mouse essentiality screens as a resource for disease gene discovery.

Author

Cacheiro P, Muñoz-Fuentes V, Murray SA, Dickinson ME, Bucan M, Nutter LMJ, Peterson KA, Haselimashhadi H, Flenniken AM, Morgan H, Westerberg H, Konopka T, Hsu CW, Christiansen A, Lanza DG, Beaudet AL, Heaney JD, Fuchs H, Gailus-Durner V, Sorg T, Prochazka J, Novosadova V, Lelliott CJ, Wardle-Jones H, Wells S, Teboul L, Cater H, Stewart M, Hough T, Wurst W, Sedlacek R, Adams DJ, Seavitt JR, Tocchini-Valentini G, Mammano F, Braun RE, McKerlie C, Herault Y, de Angelis MH, Mallon AM, Lloyd KCK, Brown SDM, Parkinson H, Meehan TF, and Smedley D

Subjects
Animals, Genes, Essential, Genomics, Humans, Mice, Mice, Knockout, Disease genetics, Genetic Association Studies methods
Abstract

The identification of causal variants in sequencing studies remains a considerable challenge that can be partially addressed by new gene-specific knowledge. Here, we integrate measures of how essential a gene is to supporting life, as inferred from viability and phenotyping screens performed on knockout mice by the International Mouse Phenotyping Consortium and essentiality screens carried out on human cell lines. We propose a cross-species gene classification across the Full Spectrum of Intolerance to Loss-of-function (FUSIL) and demonstrate that genes in five mutually exclusive FUSIL categories have differing biological properties. Most notably, Mendelian disease genes, particularly those associated with developmental disorders, are highly overrepresented among genes non-essential for cell survival but required for organism development. After screening developmental disorder cases from three independent disease sequencing consortia, we identify potentially pathogenic variants in genes not previously associated with rare diseases. We therefore propose FUSIL as an efficient approach for disease gene discovery.

Published
2020
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46. Targeted Mutations in the Mouse via Embryonic Stem Cells.

Author

Gertsenstein M, Mianné J, Teboul L, and Nutter LMJ

Subjects
Animals, Homologous Recombination genetics, Mice, Mutation genetics, RNA, Guide, CRISPR-Cas Systems genetics, CRISPR-Cas Systems genetics, Embryonic Stem Cells, Gene Editing methods, Gene Targeting methods
Abstract

Genetic modification of mouse embryonic stem (ES) cells is a powerful technology that enabled the generation of a plethora of mutant mouse lines to study gene function and mammalian biology. Here we describe ES cell culture and transfection techniques used to manipulate the ES cell genome to obtain targeted ES cell clones. We include the standard gene targeting approach as well as the application of the CRISPR/Cas9 system that can improve the efficiency of homologous recombination in ES cells by introducing a double-strand DNA break at the target site.

Published
2020
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47. Erratum: Author Correction: Identification of genes required for eye development by high-throughput screening of mouse knockouts.

Author

Moore BA, Leonard BC, Sebbag L, Edwards SG, Cooper A, Imai DM, Straiton E, Santos L, Reilly C, Griffey SM, Bower L, Clary D, Mason J, Roux MJ, Meziane H, Herault Y, McKerlie C, Flenniken AM, Nutter LMJ, Berberovic Z, Owen C, Newbigging S, Adissu H, Eskandarian M, Hsu CW, Kalaga S, Udensi U, Asomugha C, Bohat R, Gallegos JJ, Seavitt JR, Heaney JD, Beaudet AL, Dickinson ME, Justice MJ, Philip V, Kumar V, Svenson KL, Braun RE, Wells S, Cater H, Stewart M, Clementson-Mobbs S, Joynson R, Gao X, Suzuki T, Wakana S, Smedley D, Seong JK, Tocchini-Valentini G, Moore M, Fletcher C, Karp N, Ramirez-Solis R, White JK, de Angelis MH, Wurst W, Thomasy SM, Flicek P, Parkinson H, Brown SDM, Meehan TF, Nishina PM, Murray SA, Krebs MP, Mallon AM, Kent Lloyd KC, Murphy CJ, and Moshiri A

Abstract

[This corrects the article DOI: 10.1038/s42003-018-0226-0.].

Published
2019
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48. A large scale hearing loss screen reveals an extensive unexplored genetic landscape for auditory dysfunction.

Author

Bowl MR, Simon MM, Ingham NJ, Greenaway S, Santos L, Cater H, Taylor S, Mason J, Kurbatova N, Pearson S, Bower LR, Clary DA, Meziane H, Reilly P, Minowa O, Kelsey L, Tocchini-Valentini GP, Gao X, Bradley A, Skarnes WC, Moore M, Beaudet AL, Justice MJ, Seavitt J, Dickinson ME, Wurst W, de Angelis MH, Herault Y, Wakana S, Nutter LMJ, Flenniken AM, McKerlie C, Murray SA, Svenson KL, Braun RE, West DB, Lloyd KCK, Adams DJ, White J, Karp N, Flicek P, Smedley D, Meehan TF, Parkinson HE, Teboul LM, Wells S, Steel KP, Mallon AM, and Brown SDM

Subjects
Animals, Datasets as Topic, Genetic Testing, Hearing Loss epidemiology, Hearing Tests, Mice, Mice, Knockout, Phenotype, Hearing Loss genetics, Protein Interaction Maps genetics
Abstract

The developmental and physiological complexity of the auditory system is likely reflected in the underlying set of genes involved in auditory function. In humans, over 150 non-syndromic loci have been identified, and there are more than 400 human genetic syndromes with a hearing loss component. Over 100 non-syndromic hearing loss genes have been identified in mouse and human, but we remain ignorant of the full extent of the genetic landscape involved in auditory dysfunction. As part of the International Mouse Phenotyping Consortium, we undertook a hearing loss screen in a cohort of 3006 mouse knockout strains. In total, we identify 67 candidate hearing loss genes. We detect known hearing loss genes, but the vast majority, 52, of the candidate genes were novel. Our analysis reveals a large and unexplored genetic landscape involved with auditory function.The full extent of the genetic basis for hearing impairment is unknown. Here, as part of the International Mouse Phenotyping Consortium, the authors perform a hearing loss screen in 3006 mouse knockout strains and identify 52 new candidate genes for genetic hearing loss.

Published
2017
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