Patterning of Oncogenic Ras Clustering in Live Cells Using Vertically Aligned Nanostructure Arrays

Huanwen Mu, Yongpeng Zeng, Yinyin Zhuang, Weibo Gao, Yong Zhou, Krishnaraj Rajalingam, Wenting Zhao*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

As a dominant oncogenic protein, Ras is well-known to segregate into clusters on the plasma membrane for activating downstream signaling. However, current technologies for direct measurements of Ras clustering are limited to sophisticated high-resolution techniques like electron microscopy and fluorescence lifetime imaging. To further promote fundamental investigations and the related drug development, we hereby introduce a nanobar-based platform which effectively guides Ras clusters into quantifiable patterns in live cells that is resolvable under conventional microscopy. Major Ras isoforms, K-Ras, H-Ras, and N-Ras, were differentiated, as well as their highly prevalent oncogenic mutants G12V and G13D. Moreover, the isoform specificity and the sensitivity of a Ras inhibitor were successfully characterized on nanobars. We envision that this nanobar-based platform will serve as an effective tool to read Ras clustering on the plasma membrane, enabling a novel avenue both to decipher Ras regulations and to facilitate anti-Ras drug development.

Original languageEnglish
Pages (from-to)1007-1016
Number of pages10
JournalNano Letters
Volume22
Issue number3
DOIs
Publication statusPublished - Feb 9 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 American Chemical Society.

ASJC Scopus Subject Areas

  • Bioengineering
  • General Chemistry
  • General Materials Science
  • Condensed Matter Physics
  • Mechanical Engineering

Keywords

  • membrane curvature
  • nanobar
  • Ras clustering
  • Ras oncogene
  • vertically aligned nanostructure array

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