Proximity-activated DNA scanning encoded sequencing for massive access to membrane proteins nanoscale organization

邻近激活DNA扫描编码测序技术可大规模获取膜蛋白纳米级结构信息

阅读:1

Abstract

Cellular structure maintenance and function regulation critically depend on the composition and spatial distribution of numerous membrane proteins. However, current methods face limitations in spatial coverage and data scalability, hindering the comprehensive analysis of protein interactions in complex cellular nanoenvironment. Herein, we introduce proximity-activated DNA scanning encoded sequencing (PADSE-seq), an innovative technique that utilizes flexible DNA probes with adjustable lengths. These dynamic probes are anchored at a single end, enabling free swings within a nanoscale range to perform global scanning, recording, and accumulating of information on diverse proximal proteins in random directions along unrestricted paths. PADSE-seq leverages the autonomous cyclic cleavage of single-stranded DNA to sequentially activate encoded probes distributed throughout the local area. This process triggers strand displacement amplification and bidirectional extension reactions, linking proteins barcodes with molecular barcodes in tandem and further generating millions to billions of amplicons embedded with the combinatorial identifiers for next-generation sequencing analysis. As a proof of concept, we validated PADSE-seq for mapping the distribution of over a dozen kinds of proteins, including HER1, EpCAM, and PDL1, in proximity to HER2 in breast cancer cell lines, demonstrating its ability to decode multiplexed protein proximities at the nanoscale. Notably, we observed that the spatial distribution of proximal proteins around low-abundance target proteins exhibited greater diversity across regions with variable proximity ranges. This method offers a massive access for high-resolution and comprehensive mapping of cellular molecular interactions, paving the way for deeper insights into complex biological processes and advancing the field of precision medicine.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。