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Structural basis for the self-recognition of sDSCAM in Chelicerata

Jie Cheng, Yamei Yu, Xingyu Wang, Xi Zheng, Ting Liu, Daojun Hu, Yongfeng Jin, Ying Lai, Tian-Min Fu and Qiang Chen ()
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Jie Cheng: Sichuan University
Yamei Yu: West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy
Xingyu Wang: West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy
Xi Zheng: Sichuan University
Ting Liu: West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy
Daojun Hu: West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy
Yongfeng Jin: Zhejiang University
Ying Lai: Sichuan University
Tian-Min Fu: The Ohio State University
Qiang Chen: West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy

Nature Communications, 2023, vol. 14, issue 1, 1-12

Abstract: Abstract To create a functional neural circuit, neurons develop a molecular identity to discriminate self from non-self. The invertebrate Dscam family and vertebrate Pcdh family are implicated in determining synaptic specificity. Recently identified in Chelicerata, a shortened Dscam (sDscam) has been shown to resemble the isoform-generating characters of both Dscam and Pcdh and represent an evolutionary transition. Here we presented the molecular details of sDscam self-recognition via both trans and cis interactions using X-ray crystallographic data and functional assays. Based on our results, we proposed a molecular zipper model for the assemblies of sDscam to mediate cell-cell recognition. In this model, sDscam utilized FNIII domain to form side-by-side interactions with neighboring molecules in the same cell while established hand-in-hand interactions via Ig1 domain with molecules from another cell around. Together, our study provided a framework for understanding the assembly, recognition, and evolution of sDscam.

Date: 2023
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DOI: 10.1038/s41467-023-38205-1

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