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j.crmeth.2022.100301.pdf11.24 MBAdobe PDF見る/開く
タイトル: Engineered fast-dissociating antibody fragments for multiplexed super-resolution microscopy
著者: Zhang, Qianli
Miyamoto, Akitoshi  kyouindb  KAKEN_id
Watanabe, Shin
Arimori, Takao
Sakai, Masanori
Tomisaki, Madoka
Kiuchi, Tai  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-1102-3094 (unconfirmed)
Takagi, Junichi
Watanabe, Naoki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-8492-200X (unconfirmed)
著者名の別形: 張, 千里
宮本, 章歳
渡辺, 慎
有森, 貴夫
冨﨑, 円香
木内, 泰
⾼⽊, 淳⼀
渡邊, 直樹
キーワード: super-resolution microscopy
IRIS
antibody engineering
nanobody
Fv-clasp
mutagenesis
fast-dissociating probe
multiplexed imaging
synaptic connection
発行日: 24-Oct-2022
出版者: Elsevier BV
誌名: Cell Reports Methods
巻: 2
号: 10
論文番号: 100301
抄録: Image reconstruction by integrating exchangeable single-molecule localization (IRIS) achieves multiplexed super-resolution imaging by high-density labeling with fast exchangeable fluorescent probes. However, previous methods to develop probes for individual targets required a great amount of time and effort. Here, we introduce a method for generating recombinant IRIS probes with a new mutagenesis strategy that can be widely applied to existing antibody sequences. Several conserved tyrosine residues at the base of complementarity-determining regions were identified as candidate sites for site-directed mutagenesis. With a high probability, mutations at candidate sites accelerated the off rate of recombinant antibody-based probes without compromising specific binding. We were able to develop IRIS probes from five monoclonal antibodies and three single-domain antibodies. We demonstrate multiplexed localization of endogenous proteins in primary neurons that visualizes small synaptic connections with high binding density. It is now practically feasible to generate fast-dissociating fluorescent probes for multitarget super-resolution imaging.
記述: モノクローナル抗体の用途を広げる革新技術 --多重超解像可視化プローブへの迅速変換法--. 京都大学プレスリリース. 2022-09-21.
著作権等: © 2022 The Authors.
This is an open access article under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license.
URI: http://hdl.handle.net/2433/276855
DOI(出版社版): 10.1016/j.crmeth.2022.100301
PubMed ID: 36313806
関連リンク: https://www.kyoto-u.ac.jp/ja/research-news/2022-09-21-0
出現コレクション:学術雑誌掲載論文等

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