A DNA nanoscope via auto-cycling proximity recording
The spatial organisation of nanostructures is fundamental to their function. Here, the authors develop a non-destructive, proximity-based method to record extensive spatial organization information in DNA molecules for later readout.
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Nature Portfolio
2017
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oai:doaj.org-article:e2c47306e97944bfb9475cfa51b26b4e2021-12-02T17:06:19ZA DNA nanoscope via auto-cycling proximity recording10.1038/s41467-017-00542-32041-1723https://doaj.org/article/e2c47306e97944bfb9475cfa51b26b4e2017-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-00542-3https://doaj.org/toc/2041-1723The spatial organisation of nanostructures is fundamental to their function. Here, the authors develop a non-destructive, proximity-based method to record extensive spatial organization information in DNA molecules for later readout.Thomas E. SchausSungwook WooFeng XuanXi ChenPeng YinNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-9 (2017) |
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Science Q Thomas E. Schaus Sungwook Woo Feng Xuan Xi Chen Peng Yin A DNA nanoscope via auto-cycling proximity recording |
description |
The spatial organisation of nanostructures is fundamental to their function. Here, the authors develop a non-destructive, proximity-based method to record extensive spatial organization information in DNA molecules for later readout. |
format |
article |
author |
Thomas E. Schaus Sungwook Woo Feng Xuan Xi Chen Peng Yin |
author_facet |
Thomas E. Schaus Sungwook Woo Feng Xuan Xi Chen Peng Yin |
author_sort |
Thomas E. Schaus |
title |
A DNA nanoscope via auto-cycling proximity recording |
title_short |
A DNA nanoscope via auto-cycling proximity recording |
title_full |
A DNA nanoscope via auto-cycling proximity recording |
title_fullStr |
A DNA nanoscope via auto-cycling proximity recording |
title_full_unstemmed |
A DNA nanoscope via auto-cycling proximity recording |
title_sort |
dna nanoscope via auto-cycling proximity recording |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/e2c47306e97944bfb9475cfa51b26b4e |
work_keys_str_mv |
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