Modeling Rett Syndrome Using TALEN-Edited MECP2 Mutant Cynomolgus Monkeys.
Modeling Rett Syndrome Using TALEN-Edited MECP2 Mutant Cynomolgus Monkeys.
复制标题
使用 TALEN 编辑的 MECP2 突变猴对 Rett 综合征进行建模。
DOI:
10.1016/j.cell.2017.04.035
复制
发表时间:
2017-05-18
期刊:
影响因子:
64.5
通讯作者:
Sun YE
中科院分区:
文献类型:
--
作者:
Chen Y;Yu J;Niu Y;Qin D;Liu H;Li G;Hu Y;Wang J;Lu Y;Kang Y;Jiang Y;Wu K;Li S;Wei J;He J;Wang J;Liu X;Luo Y;Si C;Bai R;Zhang K;Liu J;Huang S;Chen Z;Wang S;Chen X;Bao X;Zhang Q;Li F;Geng R;Liang A;Shen D;Jiang T;Hu X;Ma Y;Ji W;Sun YE
Gene-editing technologies have made it feasible to create nonhuman primate models for human genetic disorders. Here, we report detailed genotypes and phenotypes of TALEN-edited MECP2 mutant cynomolgus monkeys serving as a model for a neurodevelopmental disorder, Rett syndrome (RTT), which is caused by loss-of-function mutations in the human MECP2 gene. Male mutant monkeys were embryonic lethal, reiterating that RTT is a disease of females. Through a battery of behavioral analyses, including primate-unique eye-tracking tests, in combination with brain imaging via MRI, we found a series of physiological, behavioral, and structural abnormalities resembling clinical manifestations of RTT. Moreover, blood transcriptome profiling revealed that mutant monkeys resembled RTT patients in immune gene dysregulation. Taken together, the stark similarity in phenotype and/or endophenotype between monkeys and patients suggested that gene-edited RTT founder monkeys would be of value for disease mechanistic studies as well as development of potential therapeutic interventions for RTT. TALEN-edited MeCP2 mutant monkeys share phenotypes with Rett syndrome patients, providing a valuable model for studying disease mechanisms and for the development of potential therapeutics.
登录
查看更多内容
影响因子:
3
作者:
Langfelder P;Horvath S
通讯作者:
Horvath S
影响因子:
25
作者:
Jennings, Charles;Landman, Rogier;Feng, Guoping
通讯作者:
Feng, Guoping
影响因子:
1.7
作者:
Naidu, S;Kaufmann, WE;Johnston, MV
通讯作者:
Johnston, MV
影响因子:
5.8
作者:
Grau, Jan;Boch, Jens;Posch, Stefan
通讯作者:
Posch, Stefan
影响因子:
5.7
作者:
Li G;Nie J;Wang L;Shi F;Gilmore JH;Lin W;Shen D
通讯作者:
Shen D