Spatial gene expression analysis of neuroanatomical differences in mouse models.
Spatial gene expression analysis of neuroanatomical differences in mouse models.
复制标题
DOI：
10.1016/j.neuroimage.2017.08.065
复制
发表时间：
2017-12
期刊：
影响因子：
5.7
通讯作者：
Lerch JP
中科院分区：
文献类型：
--
作者：
Fernandes DJ;Ellegood J;Askalan R;Blakely RD;Dicicco-Bloom E;Egan SE;Osborne LR;Powell CM;Raznahan A;Robins DM;Salter MW;Sengar AS;Veenstra-VanderWeele J;Henkelman RM;Lerch JP
MRI 是检测突变和治疗引起的神经解剖学差异的强大方法。了解哪些基因驱动这些差异对于理解病因学很重要，但候选基因通常很难识别。我们测试了艾伦大脑研究所的空间基因表达数据是否可以用来告诉我们导致神经解剖学差异的基因。对于许多单基因突变小鼠模型，我们发现受影响的神经解剖学与改变基因的空间表达没有很强的相关性，并且每个模型都有特定的警告。然而，在与其野生型对照具有显着神经解剖学差异的模型中，突变基因在受影响的神经解剖学中具有优先的空间表达。在暴露于富集环境的小鼠中，可以通过全基因组搜索在改变的神经解剖区域中优先空间表达的基因来识别候选基因。这些候选者具有与学习和可塑性相关的功能。我们证明，单基因的空间基因表达不能很好地预测神经解剖学的改变，但改变的神经解剖学可以识别负责神经解剖学表型的候选基因。
MRI is a powerful modality to detect neuroanatomical differences that result from mutations and treatments. Knowing which genes drive these differences is important in understanding etiology, but candidate genes are often difficult to identify. We tested whether spatial gene expression data from the Allen Brain Institute can be used to inform us about genes that cause neuroanatomical differences. For many single-gene-mutation mouse models, we found that affected neuroanatomy was not strongly associated with the spatial expression of the altered gene and there are specific caveats for each model. However, among models with significant neuroanatomical differences from their wildtype controls, the mutated genes had preferential spatial expression in affected neuroanatomy. In mice exposed to environmental enrichment, candidate genes could be identified by a genome-wide search for genes with preferential spatial expression in the altered neuroanatomical regions. These candidates have functions related to learning and plasticity. We demonstrate that spatial gene expression of single-genes is a poor predictor of altered neuroanatomy, but altered neuroanatomy can identify candidate genes responsible for neuroanatomical phenotypes.
登录
查看更多内容
影响因子：
1.3
作者：
COLLINS, DL;NEELIN, P;EVANS, AC
通讯作者：
EVANS, AC
DOI：
10.1002/aur.1529
发表时间：
2016-03
期刊：
Autism research : official journal of the International Society for Autism Research
影响因子：
--
作者：
Jaramillo TC;Speed HE;Xuan Z;Reimers JM;Liu S;Powell CM
通讯作者：
Powell CM
聚类自闭症：在26个小鼠模型中使用神经解剖学差异来深入了解异质性。
影响因子：
11
作者：
Ellegood, J.;Anagnostou, E.;Babineau, B. A.;Crawley, J. N.;Lin, L.;Genestine, M.;DiCicco-Bloom, E.;Lai, J. K. Y.;Foster, J. A.;Penagarikano, O.;Geschwind, D. H.;Pacey, L. K.;Hampson, D. R.;Laliberte, C. L.;Mills, A. A.;Tam, E.;Osborne, L. R.;Kouser, M.;Espinosa-Becerra, F.;Xuan, Z.;Powell, C. M.;Raznahan, A.;Robins, D. M.;Nakai, N.;Nakatani, J.;Takumi, T.;van Eede, M. C.;Kerr, T. M.;Muller, C.;Blakely, R. D.;Veenstra-VanderWeele, J.;Henkelman, R. M.;Lerch, J. P.
通讯作者：
Lerch, J. P.
影响因子：
5.7
作者：
Ellegood, Jacob;Pacey, Laura K.;Henkelman, R. Mark
通讯作者：
Henkelman, R. Mark
影响因子：
4.7
作者：
Ellegood, Jacob;Lerch, Jason P.;Henkelman, R. Mark
通讯作者：
Henkelman, R. Mark