Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ruairidh King"'
Autor:
Gemma F. Codner, Joffrey Mianné, Adam Caulder, Jorik Loeffler, Rachel Fell, Ruairidh King, Alasdair J. Allan, Matthew Mackenzie, Fran J. Pike, Christopher V. McCabe, Skevoulla Christou, Sam Joynson, Marie Hutchison, Michelle E. Stewart, Saumya Kumar, Michelle M. Simon, Loranne Agius, Quentin M. Anstee, Kirill E. Volynski, Dimitri M. Kullmann, Sara Wells, Lydia Teboul
Publikováno v:
BMC Biology, Vol 16, Iss 1, Pp 1-16 (2018)
Abstract Background Recent advances in clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) genome editing have led to the use of long single-stranded DNA (lssDNA) molecules for generating conditional
Externí odkaz:
https://doaj.org/article/ee1cca96cdab4bc9a1b2e27269d0610a
Autor:
Paul K. Potter, Michael R. Bowl, Prashanthini Jeyarajan, Laura Wisby, Andrew Blease, Michelle E. Goldsworthy, Michelle M. Simon, Simon Greenaway, Vincent Michel, Alun Barnard, Carlos Aguilar, Thomas Agnew, Gareth Banks, Andrew Blake, Lauren Chessum, Joanne Dorning, Sara Falcone, Laurence Goosey, Shelley Harris, Andy Haynes, Ines Heise, Rosie Hillier, Tertius Hough, Angela Hoslin, Marie Hutchison, Ruairidh King, Saumya Kumar, Heena V. Lad, Gemma Law, Robert E. MacLaren, Susan Morse, Thomas Nicol, Andrew Parker, Karen Pickford, Siddharth Sethi, Becky Starbuck, Femke Stelma, Michael Cheeseman, Sally H. Cross, Russell G. Foster, Ian J. Jackson, Stuart N. Peirson, Rajesh V. Thakker, Tonia Vincent, Cheryl Scudamore, Sara Wells, Aziz El-Amraoui, Christine Petit, Abraham Acevedo-Arozena, Patrick M. Nolan, Roger Cox, Anne-Marie Mallon, Steve D. M. Brown
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-13 (2016)
Random mutagenesis can uncover novel genes involved in phenotypic traits. Here the authors perform a large-scale phenotypic screen on over 100 mouse strains generated by ENU mutagenesis to identify mice with age-related diseases, which they attribute
Externí odkaz:
https://doaj.org/article/fa97ab87303c498f824c8286a0325379
Autor:
Elif F. Acar, Luis Santos, Graham Duddy, Adam Caulder, Yann Herault, Joshua A. Wood, Jing Zhao, John R. Seavitt, Masaru Tamura, Martin Hrabĕ de Angelis, Gemma F. Codner, Helen Parkinson, Marie-Christine Birling, Lauryl M. J. Nutter, Jason D. Heaney, Radislav Sedlacek, Brandon J. Willis, Susan Marschall, Kevin A. Peterson, Marina Gertsenstein, Alba Gomez-Segura, Allan Bradley, Je Kyung Seong, Lydia Teboul, Kevin C K Lloyd, Fabio Mammano, Jacqueline K. White, Mary E. Dickinson, Francesco Chiani, Matthew Mackenzie, Robert Braun, Isabel Lorenzo, Colin McKerlie, Wolfgang Wurst, Edward Ryder, Cunxiang Ju, Denise G. Lanza, Ruairidh King, Alessia Gambadoro, Ho Lee, Zhiwei Liu, Ramiro Ramirez-Solis, Ann-Marie Mallon, William C. Skarnes, Xiang Gao, Stephen A. Murray, Francesco J. DeMayo, Lauri G. Lintott, Terrence F. Meehan, Fei Zhou, Hannah Wardle-Jones, Shinya Ayabe, Mark T. Ruhe, Atsushi Yoshiki, Brendan Doe, Peter Matthews, Sara Wells, Hillary Elrick, Claudia Seisenberger, David J. Adams, Jie Zhang, Damien Smedley, Petr Kasparek, Daekee Lee, Leslie O. Goodwin
The International Mouse Phenotyping Consortium (IMPC) is generating and phenotyping null mutations for every protein-coding gene in the mouse1,2. The IMPC now uses Cas9, a programmable RNA-guided nuclease that has revolutionized mouse genome editing3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a11a6fcaf64d723a4f023abdfe162834
https://doi.org/10.1101/2021.10.06.463037
https://doi.org/10.1101/2021.10.06.463037
Autor:
Alexandr Bezginov, Paul Flicek, Masaru Tamura, Masuya Hiroshi, Mohammed Selloum, Yeon Kyung Kang, Herault Yann, Rodney C. Samaco, Ann-Marie Mallon, Helen Parkinson, Soo Young Cho, Ghina Bou About, Nadine Spielmann, Arturo Garza, Glauco P. Tocchini-Valentini, Gregor Miller, Obata Yuichi, John R. Seavitt, Surabi Veeraragavan, Jennie R. Green, Ewan Straiton, Marie-France Champy, Ann M Flenniken, Je Kyung Seong, Kyung Dong Soo, Isabel Lorenzo, Kevin C K Lloyd, Terrence F. Meehan, Vivek Kumar, Lillian Garrett, Damian Smedley, Elif F. Acar, Hamid Meziane, Ritu Bohat, Lore Becker, Sophie Leblanc, Denise G. Lanza, Angelina Gaspero, Audrey E. Christianson, Juan Gallegos, Wurst Wolfgang, Chih-Wei Hsu, Hamed Haselimashhadi, Colin McKerlie, Ruairidh King, Stephen D.M. Brown, Dave Clary, Nobuhiko Tanaka, Tania Sorg, Helmut Fuchs, Jason D. Heaney, Jacqui White, Jeremy Mason, Martin Hrabé de Angelis, Federico López-Gómez, Laurent Vasseur, Valerie Gailus-Durner, Holger Maier, Corey L. Reynolds, Violeta Muñoz-Fuentes, Mary E Dickinson, K. O. Babalola, Patrick T. Reilly, Jong Kyoung Kim
Publikováno v:
Bioinformatics (Oxford, England), vol 36, iss 5
Bioinformatics
Bioinformatics, Oxford University Press (OUP), 2020, 36 (5), pp.1492-1500. ⟨10.1093/bioinformatics/btz744⟩
Bioinformatics (Oxford, England)
Bioinformatics
Bioinformatics, Oxford University Press (OUP), 2020, 36 (5), pp.1492-1500. ⟨10.1093/bioinformatics/btz744⟩
Bioinformatics (Oxford, England)
Motivation High-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 control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea426176e5d2b904070992f883f07dde
https://escholarship.org/uc/item/28f9b9xc
https://escholarship.org/uc/item/28f9b9xc
Autor:
Carlos A. Aguilar, Becky Starbuck, Siddharth Sethi, Paul Potter, Gemma Law, Marie Hutchison, Ruairidh King, Gareth Banks, Anne-Marie Mallon, Ines Heise, Thomas Agnew, Vincent Michel, Rosie Hillier, Femke Stelma, Patrick M. Nolan, Aziz El-Amraoui, Michelle Simon, Laura Wisby, Shelley Harris, Susan Morse, Laurence Goosey, Ian J. Jackson, Steve D. M. Brown, Lauren Chessum, Michelle Goldsworthy, Robert E MacLaren, Saumya Kumar, Michael Cheeseman, Andrew Parker, Sara Wells, Christine Petit, Sally H. Cross, Cheryl L. Scudamore, Stuart N. Peirson, Simon Greenaway, Heena V. Lad, Rajesh V. Thakker, Prashanthini Jeyarajan, Abraham Acevedo-Arozena, Andrew Blake, Karen Pickford, Sara Falcone, T Nicol, Angela Hoslin, Andy Haynes, Alun R. Barnard, Tonia L. Vincent, Russell G. Foster, Tertius Hough, Joanne Dorning, Michael R. Bowl, Roger D. Cox, A Blease
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-13 (2016)
Nature Communications
Nature Communications, 2016, 7, pp.12444. ⟨10.1038/ncomms12444⟩
Potter, P K, Bowl, M R, Jeyarajan, P, Wisby, L, Blease, A, Goldsworthy, M E, Simon, M M, Greenaway, S, Michel, V, Barnard, A, Aguilar, C, Agnew, T, Banks, G, Blake, A, Chessum, L, Dorning, J, Falcone, S, Goosey, L, Harris, S, Haynes, A, Heise, I, Hillier, R, Hough, T, Hoslin, A, Hutchison, M, King, R, Kumar, S, Lad, H V, Law, G, MacLaren, R E, Morse, S, Nicol, T, Parker, A, Pickford, K, Sethi, S, Starbuck, B, Stelma, F, Cheeseman, M, Cross, S H, Foster, R G, Jackson, I J, Peirson, S N, Thakker, R V, Vincent, T, Scudamore, C, Wells, S, El-Amraoui, A, Petit, C, Acevedo-Arozena, A, Nolan, P M, Cox, R, Mallon, A-M & Brown, S D M 2016, ' Novel gene function revealed by mouse mutagenesis screens for models of age-related disease ', Nature Communications, vol. 7, 12444 . https://doi.org/10.1038/ncomms12444
Nature Communications
Nature Communications, 2016, 7, pp.12444. ⟨10.1038/ncomms12444⟩
Potter, P K, Bowl, M R, Jeyarajan, P, Wisby, L, Blease, A, Goldsworthy, M E, Simon, M M, Greenaway, S, Michel, V, Barnard, A, Aguilar, C, Agnew, T, Banks, G, Blake, A, Chessum, L, Dorning, J, Falcone, S, Goosey, L, Harris, S, Haynes, A, Heise, I, Hillier, R, Hough, T, Hoslin, A, Hutchison, M, King, R, Kumar, S, Lad, H V, Law, G, MacLaren, R E, Morse, S, Nicol, T, Parker, A, Pickford, K, Sethi, S, Starbuck, B, Stelma, F, Cheeseman, M, Cross, S H, Foster, R G, Jackson, I J, Peirson, S N, Thakker, R V, Vincent, T, Scudamore, C, Wells, S, El-Amraoui, A, Petit, C, Acevedo-Arozena, A, Nolan, P M, Cox, R, Mallon, A-M & Brown, S D M 2016, ' Novel gene function revealed by mouse mutagenesis screens for models of age-related disease ', Nature Communications, vol. 7, 12444 . https://doi.org/10.1038/ncomms12444
Determining the genetic bases of age-related disease remains a major challenge requiring a spectrum of approaches from human and clinical genetics to the utilization of model organism studies. Here we report a large-scale genetic screen in mice emplo