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Raman image-activated cell sorting
The advent of image-activated cell sorting and imaging-based cell picking has advanced our knowledge and exploitation of biological systems in the last decade. Unfortunately, they generally rely on fluorescent labeling for cellular phenotyping, an indirect measure of the molecular landscape in the c...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351993/ https://www.ncbi.nlm.nih.gov/pubmed/32651381 http://dx.doi.org/10.1038/s41467-020-17285-3 |
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author | Nitta, Nao Iino, Takanori Isozaki, Akihiro Yamagishi, Mai Kitahama, Yasutaka Sakuma, Shinya Suzuki, Yuta Tezuka, Hiroshi Oikawa, Minoru Arai, Fumihito Asai, Takuya Deng, Dinghuan Fukuzawa, Hideya Hase, Misa Hasunuma, Tomohisa Hayakawa, Takeshi Hiraki, Kei Hiramatsu, Kotaro Hoshino, Yu Inaba, Mary Inoue, Yuki Ito, Takuro Kajikawa, Masataka Karakawa, Hiroshi Kasai, Yusuke Kato, Yuichi Kobayashi, Hirofumi Lei, Cheng Matsusaka, Satoshi Mikami, Hideharu Nakagawa, Atsuhiro Numata, Keiji Ota, Tadataka Sekiya, Takeichiro Shiba, Kiyotaka Shirasaki, Yoshitaka Suzuki, Nobutake Tanaka, Shunji Ueno, Shunnosuke Watarai, Hiroshi Yamano, Takashi Yazawa, Masayuki Yonamine, Yusuke Di Carlo, Dino Hosokawa, Yoichiroh Uemura, Sotaro Sugimura, Takeaki Ozeki, Yasuyuki Goda, Keisuke |
author_facet | Nitta, Nao Iino, Takanori Isozaki, Akihiro Yamagishi, Mai Kitahama, Yasutaka Sakuma, Shinya Suzuki, Yuta Tezuka, Hiroshi Oikawa, Minoru Arai, Fumihito Asai, Takuya Deng, Dinghuan Fukuzawa, Hideya Hase, Misa Hasunuma, Tomohisa Hayakawa, Takeshi Hiraki, Kei Hiramatsu, Kotaro Hoshino, Yu Inaba, Mary Inoue, Yuki Ito, Takuro Kajikawa, Masataka Karakawa, Hiroshi Kasai, Yusuke Kato, Yuichi Kobayashi, Hirofumi Lei, Cheng Matsusaka, Satoshi Mikami, Hideharu Nakagawa, Atsuhiro Numata, Keiji Ota, Tadataka Sekiya, Takeichiro Shiba, Kiyotaka Shirasaki, Yoshitaka Suzuki, Nobutake Tanaka, Shunji Ueno, Shunnosuke Watarai, Hiroshi Yamano, Takashi Yazawa, Masayuki Yonamine, Yusuke Di Carlo, Dino Hosokawa, Yoichiroh Uemura, Sotaro Sugimura, Takeaki Ozeki, Yasuyuki Goda, Keisuke |
author_sort | Nitta, Nao |
collection | PubMed |
description | The advent of image-activated cell sorting and imaging-based cell picking has advanced our knowledge and exploitation of biological systems in the last decade. Unfortunately, they generally rely on fluorescent labeling for cellular phenotyping, an indirect measure of the molecular landscape in the cell, which has critical limitations. Here we demonstrate Raman image-activated cell sorting by directly probing chemically specific intracellular molecular vibrations via ultrafast multicolor stimulated Raman scattering (SRS) microscopy for cellular phenotyping. Specifically, the technology enables real-time SRS-image-based sorting of single live cells with a throughput of up to ~100 events per second without the need for fluorescent labeling. To show the broad utility of the technology, we show its applicability to diverse cell types and sizes. The technology is highly versatile and holds promise for numerous applications that are previously difficult or undesirable with fluorescence-based technologies. |
format | Online Article Text |
id | pubmed-7351993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73519932020-07-16 Raman image-activated cell sorting Nitta, Nao Iino, Takanori Isozaki, Akihiro Yamagishi, Mai Kitahama, Yasutaka Sakuma, Shinya Suzuki, Yuta Tezuka, Hiroshi Oikawa, Minoru Arai, Fumihito Asai, Takuya Deng, Dinghuan Fukuzawa, Hideya Hase, Misa Hasunuma, Tomohisa Hayakawa, Takeshi Hiraki, Kei Hiramatsu, Kotaro Hoshino, Yu Inaba, Mary Inoue, Yuki Ito, Takuro Kajikawa, Masataka Karakawa, Hiroshi Kasai, Yusuke Kato, Yuichi Kobayashi, Hirofumi Lei, Cheng Matsusaka, Satoshi Mikami, Hideharu Nakagawa, Atsuhiro Numata, Keiji Ota, Tadataka Sekiya, Takeichiro Shiba, Kiyotaka Shirasaki, Yoshitaka Suzuki, Nobutake Tanaka, Shunji Ueno, Shunnosuke Watarai, Hiroshi Yamano, Takashi Yazawa, Masayuki Yonamine, Yusuke Di Carlo, Dino Hosokawa, Yoichiroh Uemura, Sotaro Sugimura, Takeaki Ozeki, Yasuyuki Goda, Keisuke Nat Commun Article The advent of image-activated cell sorting and imaging-based cell picking has advanced our knowledge and exploitation of biological systems in the last decade. Unfortunately, they generally rely on fluorescent labeling for cellular phenotyping, an indirect measure of the molecular landscape in the cell, which has critical limitations. Here we demonstrate Raman image-activated cell sorting by directly probing chemically specific intracellular molecular vibrations via ultrafast multicolor stimulated Raman scattering (SRS) microscopy for cellular phenotyping. Specifically, the technology enables real-time SRS-image-based sorting of single live cells with a throughput of up to ~100 events per second without the need for fluorescent labeling. To show the broad utility of the technology, we show its applicability to diverse cell types and sizes. The technology is highly versatile and holds promise for numerous applications that are previously difficult or undesirable with fluorescence-based technologies. Nature Publishing Group UK 2020-07-10 /pmc/articles/PMC7351993/ /pubmed/32651381 http://dx.doi.org/10.1038/s41467-020-17285-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Nitta, Nao Iino, Takanori Isozaki, Akihiro Yamagishi, Mai Kitahama, Yasutaka Sakuma, Shinya Suzuki, Yuta Tezuka, Hiroshi Oikawa, Minoru Arai, Fumihito Asai, Takuya Deng, Dinghuan Fukuzawa, Hideya Hase, Misa Hasunuma, Tomohisa Hayakawa, Takeshi Hiraki, Kei Hiramatsu, Kotaro Hoshino, Yu Inaba, Mary Inoue, Yuki Ito, Takuro Kajikawa, Masataka Karakawa, Hiroshi Kasai, Yusuke Kato, Yuichi Kobayashi, Hirofumi Lei, Cheng Matsusaka, Satoshi Mikami, Hideharu Nakagawa, Atsuhiro Numata, Keiji Ota, Tadataka Sekiya, Takeichiro Shiba, Kiyotaka Shirasaki, Yoshitaka Suzuki, Nobutake Tanaka, Shunji Ueno, Shunnosuke Watarai, Hiroshi Yamano, Takashi Yazawa, Masayuki Yonamine, Yusuke Di Carlo, Dino Hosokawa, Yoichiroh Uemura, Sotaro Sugimura, Takeaki Ozeki, Yasuyuki Goda, Keisuke Raman image-activated cell sorting |
title | Raman image-activated cell sorting |
title_full | Raman image-activated cell sorting |
title_fullStr | Raman image-activated cell sorting |
title_full_unstemmed | Raman image-activated cell sorting |
title_short | Raman image-activated cell sorting |
title_sort | raman image-activated cell sorting |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351993/ https://www.ncbi.nlm.nih.gov/pubmed/32651381 http://dx.doi.org/10.1038/s41467-020-17285-3 |
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