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The NIH Somatic Cell Genome Editing program.

Authors :
Saha, Krishanu
Saha, Krishanu
Sontheimer, Erik J
Brooks, PJ
Dwinell, Melinda R
Gersbach, Charles A
Liu, David R
Murray, Stephen A
Tsai, Shengdar Q
Wilson, Ross C
Anderson, Daniel G
Asokan, Aravind
Banfield, Jillian F
Bankiewicz, Krystof S
Bao, Gang
Bulte, Jeff WM
Bursac, Nenad
Campbell, Jarryd M
Carlson, Daniel F
Chaikof, Elliot L
Chen, Zheng-Yi
Cheng, R Holland
Clark, Karl J
Curiel, David T
Dahlman, James E
Deverman, Benjamin E
Dickinson, Mary E
Doudna, Jennifer A
Ekker, Stephen C
Emborg, Marina E
Feng, Guoping
Freedman, Benjamin S
Gamm, David M
Gao, Guangping
Ghiran, Ionita C
Glazer, Peter M
Gong, Shaoqin
Heaney, Jason D
Hennebold, Jon D
Hinson, John T
Khvorova, Anastasia
Kiani, Samira
Lagor, William R
Lam, Kit S
Leong, Kam W
Levine, Jon E
Lewis, Jennifer A
Lutz, Cathleen M
Ly, Danith H
Maragh, Samantha
McCray, Paul B
McDevitt, Todd C
Mirochnitchenko, Oleg
Morizane, Ryuji
Murthy, Niren
Prather, Randall S
Ronald, John A
Roy, Subhojit
Roy, Sushmita
Sabbisetti, Venkata
Saltzman, W Mark
Santangelo, Philip J
Segal, David J
Shimoyama, Mary
Skala, Melissa C
Tarantal, Alice F
Tilton, John C
Truskey, George A
Vandsburger, Moriel
Watts, Jonathan K
Wells, Kevin D
Wolfe, Scot A
Xu, Qiaobing
Xue, Wen
Yi, Guohua
Zhou, Jiangbing
SCGE Consortium
Saha, Krishanu
Saha, Krishanu
Sontheimer, Erik J
Brooks, PJ
Dwinell, Melinda R
Gersbach, Charles A
Liu, David R
Murray, Stephen A
Tsai, Shengdar Q
Wilson, Ross C
Anderson, Daniel G
Asokan, Aravind
Banfield, Jillian F
Bankiewicz, Krystof S
Bao, Gang
Bulte, Jeff WM
Bursac, Nenad
Campbell, Jarryd M
Carlson, Daniel F
Chaikof, Elliot L
Chen, Zheng-Yi
Cheng, R Holland
Clark, Karl J
Curiel, David T
Dahlman, James E
Deverman, Benjamin E
Dickinson, Mary E
Doudna, Jennifer A
Ekker, Stephen C
Emborg, Marina E
Feng, Guoping
Freedman, Benjamin S
Gamm, David M
Gao, Guangping
Ghiran, Ionita C
Glazer, Peter M
Gong, Shaoqin
Heaney, Jason D
Hennebold, Jon D
Hinson, John T
Khvorova, Anastasia
Kiani, Samira
Lagor, William R
Lam, Kit S
Leong, Kam W
Levine, Jon E
Lewis, Jennifer A
Lutz, Cathleen M
Ly, Danith H
Maragh, Samantha
McCray, Paul B
McDevitt, Todd C
Mirochnitchenko, Oleg
Morizane, Ryuji
Murthy, Niren
Prather, Randall S
Ronald, John A
Roy, Subhojit
Roy, Sushmita
Sabbisetti, Venkata
Saltzman, W Mark
Santangelo, Philip J
Segal, David J
Shimoyama, Mary
Skala, Melissa C
Tarantal, Alice F
Tilton, John C
Truskey, George A
Vandsburger, Moriel
Watts, Jonathan K
Wells, Kevin D
Wolfe, Scot A
Xu, Qiaobing
Xue, Wen
Yi, Guohua
Zhou, Jiangbing
SCGE Consortium
Source :
Nature; vol 592, iss 7853, 195-204; 0028-0836
Publication Year :
2021

Abstract

The move from reading to writing the human genome offers new opportunities to improve human health. The United States National Institutes of Health (NIH) Somatic Cell Genome Editing (SCGE) Consortium aims to accelerate the development of safer and more-effective methods to edit the genomes of disease-relevant somatic cells in patients, even in tissues that are difficult to reach. Here we discuss the consortium's plans to develop and benchmark approaches to induce and measure genome modifications, and to define downstream functional consequences of genome editing within human cells. Central to this effort is a rigorous and innovative approach that requires validation of the technology through third-party testing in small and large animals. New genome editors, delivery technologies and methods for tracking edited cells in vivo, as well as newly developed animal models and human biological systems, will be assembled-along with validated datasets-into an SCGE Toolkit, which will be disseminated widely to the biomedical research community. We visualize this toolkit-and the knowledge generated by its applications-as a means to accelerate the clinical development of new therapies for a wide range of conditions.

Details

Database :
OAIster
Journal :
Nature; vol 592, iss 7853, 195-204; 0028-0836
Notes :
application/pdf, Nature vol 592, iss 7853, 195-204 0028-0836
Publication Type :
Electronic Resource
Accession number :
edsoai.on1367385587
Document Type :
Electronic Resource