Patterning of oncogenic Ras clustering in live cells using vertically aligned nanostructure arrays

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 fluor...

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Main Authors: Mu, Huanwen, Zeng, Yongpeng, Zhuang, Yinyin, Gao, Weibo, Zhou, Yong, Rajalingam, Krishnaraj, Zhao, Wenting
Other Authors: School of Chemical and Biomedical Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/155186
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1551862023-02-28T19:56:23Z Patterning of oncogenic Ras clustering in live cells using vertically aligned nanostructure arrays Mu, Huanwen Zeng, Yongpeng Zhuang, Yinyin Gao, Weibo Zhou, Yong Rajalingam, Krishnaraj Zhao, Wenting School of Chemical and Biomedical Engineering School of Physical and Mathematical Sciences The Photonics Institute Centre for Disruptive Photonic Technologies (CDPT) Ageing Research Institute for Society and Education Engineering::Chemical engineering Nanobar Ras Oncogene 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. Ministry of Education (MOE) Nanyang Technological University National Research Foundation (NRF) Accepted version This work is funded by Singapore Ministry of Education (MOE) (W. Zhao, RG145/18 and RG112/20), the Singapore National Research Foundation (W. Zhao, NRF2019-NRF-ISF003-3292), the NTU Start-up Grant (W. Zhao), the NTU-NNI Neurotechnology Fellowship (W. Zhao), DFG (K. Rajalingam), and Ageing Research Institute for Society and Education (ARISE) NTU for the research scholarship (H. Mu). 2022-02-11T04:22:36Z 2022-02-11T04:22:36Z 2022 Journal Article Mu, H., Zeng, Y., Zhuang, Y., Gao, W., Zhou, Y., Rajalingam, K. & Zhao, W. (2022). Patterning of oncogenic Ras clustering in live cells using vertically aligned nanostructure arrays. Nano Letters, 22(3), 1007-1016. https://dx.doi.org/10.1021/acs.nanolett.1c03886 1530-6984 https://hdl.handle.net/10356/155186 10.1021/acs.nanolett.1c03886 3 22 1007 1016 en RG145/18 and RG112/20 NRF2019-NRF-ISF003-3292 Nano Letters This document is the Accepted Manuscript version of a Published Work that appeared in final form in Nano Letters, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.nanolett.1c03886. application/pdf application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Chemical engineering
Nanobar
Ras Oncogene
spellingShingle Engineering::Chemical engineering
Nanobar
Ras Oncogene
Mu, Huanwen
Zeng, Yongpeng
Zhuang, Yinyin
Gao, Weibo
Zhou, Yong
Rajalingam, Krishnaraj
Zhao, Wenting
Patterning of oncogenic Ras clustering in live cells using vertically aligned nanostructure arrays
description 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.
author2 School of Chemical and Biomedical Engineering
author_facet School of Chemical and Biomedical Engineering
Mu, Huanwen
Zeng, Yongpeng
Zhuang, Yinyin
Gao, Weibo
Zhou, Yong
Rajalingam, Krishnaraj
Zhao, Wenting
format Article
author Mu, Huanwen
Zeng, Yongpeng
Zhuang, Yinyin
Gao, Weibo
Zhou, Yong
Rajalingam, Krishnaraj
Zhao, Wenting
author_sort Mu, Huanwen
title Patterning of oncogenic Ras clustering in live cells using vertically aligned nanostructure arrays
title_short Patterning of oncogenic Ras clustering in live cells using vertically aligned nanostructure arrays
title_full Patterning of oncogenic Ras clustering in live cells using vertically aligned nanostructure arrays
title_fullStr Patterning of oncogenic Ras clustering in live cells using vertically aligned nanostructure arrays
title_full_unstemmed Patterning of oncogenic Ras clustering in live cells using vertically aligned nanostructure arrays
title_sort patterning of oncogenic ras clustering in live cells using vertically aligned nanostructure arrays
publishDate 2022
url https://hdl.handle.net/10356/155186
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