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Multiplexed and Quantitative Imaging of Live‐Cell Membrane Proteins by a Precise and Controllable DNA‐Encoded Amplification Reaction.

  • Published In: Angewandte Chemie, 2024, v. 136, n. 40. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Diao, Nannan; Hou, Jianing; Peng, Xinyu; Wang, Yaru; He, Axin; Gao, Haiyan; Yang, Linlin; Guo, Pei; Wang, Junyan; Han, Da 3 of 3

Abstract

Amplifying DNA conjugated affinity ligands can improve the sensitivity and multiplicity of cell imaging and play a crucial role in comprehensively deciphering cellular heterogeneity and dynamic changes during development and disease. However, the development of one‐step, controllable, and quantitative DNA amplification methods for multiplexed imaging of live‐cell membrane proteins is challenging. Here, we introduce the template adhesion reaction (TAR) method for assembling amplifiable DNA sequences with different affinity ligands, such as aptamers or antibodies, for amplified and multiplexed imaging of live‐cell membrane proteins with high quantitative fidelity. The precisely controllable TAR enables proportional amplification of membrane protein targets with variable abundances by modulating the concentration ratios of hairpin templates and primers, thus allowing sensitive visualization of multiple membrane proteins with enhanced signal‐to‐noise ratios (SNRs) without disturbing their original ratios. Using TAR, we achieved signal‐enhanced imaging of six proteins on the same live‐cell within 1–2 h. TAR represents an innovative and programmable molecular toolkit for multiplexed profiling of membrane proteins in live‐cells. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Angewandte Chemie. 2024/10, Vol. 136, Issue 40, p1
  • Document Type:Article
  • Subject Area:Biology
  • Publication Date:2024
  • ISSN:0044-8249
  • DOI:10.1002/ange.202406330
  • Accession Number:179808565
  • Copyright Statement:Copyright of Angewandte Chemie is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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