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
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.