A model for generating differences in microtubules between axonal branches depending on the distance from terminals.
A model for generating differences in microtubules between axonal branches depending on the distance from terminals.
复制标题
根据距末端的距离产生轴突分支之间微管差异的模型。
DOI:
10.1016/j.brainres.2022.148166
复制
发表时间:
2023
期刊:
影响因子:
2.9
通讯作者:
Imanaka Chiaki,Shimada Satoshi,Ito Shino,Kamada Marina,Iguchi Tokuichi,Konishi Yoshiyuki
中科院分区:
文献类型:
--
作者:
河内美乃;太田麻友;豊田楓;中山実;浜千尋;曽根雅紀;Imanaka Chiaki,Shimada Satoshi,Ito Shino,Kamada Marina,Iguchi Tokuichi,Konishi Yoshiyuki
In the remodeling of axonal arbor, the growth and retraction of branches are differentially regulated within a single axon. Although cell-autonomously generated differences in microtubule (MT) turnover are thought to be involved in selective branch regulation, the cellular system whereby neurons generate differences of MTs between axonal branches has not been clarified. Because MT turnover tends to be slower in longer branches compared with neighboring shorter branches, feedback regulation depending on branch length is thought to be involved. In the present study, we generated a model of MT lifetime in axonal terminal branches by adapting a length-dependent model in which parameters for MT dynamics were constant in the arbor. The model predicted that differences in MT lifetime between neighboring branches could be generated depending on the distance from terminals. In addition, the following points were predicted. Firstly, destabilization of MTs throughout the arbor decreased the differences in MT lifetime between branches. Secondly, differences of MT lifetime existed even before MTs entered the branch point. In axonal MTs in primary neurons, treatment with a low concentration of nocodazole significantly decreased the differences of detyrosination (deTyr) and tyrosination (Tyr) of tubulins, indicators of MT turnover. Expansion microscopy of the axonal shaft before the branch point revealed differences in deTyr/Tyr modification on MTs. Our model recapitulates the differences in MT turnover between branches and provides a feedback mechanism for MT regulation that depends on the axonal arbor geometry.