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Color-scalable flow cytometry with Raman tags

Flow cytometry is an indispensable tool in biology and medicine for counting and analyzing cells in large heterogeneous populations. It identifies multiple characteristics of every single cell, typically via fluorescent probes that specifically bind to target molecules on the cell surface or within...

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Autores principales: Nishiyama, Ryo, Hiramatsu, Kotaro, Kawamura, Shintaro, Dodo, Kosuke, Furuya, Kei, de Pablo, Julia Gala, Takizawa, Shigekazu, Min, Wei, Sodeoka, Mikiko, Goda, Keisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950787/
https://www.ncbi.nlm.nih.gov/pubmed/36845353
http://dx.doi.org/10.1093/pnasnexus/pgad001
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author Nishiyama, Ryo
Hiramatsu, Kotaro
Kawamura, Shintaro
Dodo, Kosuke
Furuya, Kei
de Pablo, Julia Gala
Takizawa, Shigekazu
Min, Wei
Sodeoka, Mikiko
Goda, Keisuke
author_facet Nishiyama, Ryo
Hiramatsu, Kotaro
Kawamura, Shintaro
Dodo, Kosuke
Furuya, Kei
de Pablo, Julia Gala
Takizawa, Shigekazu
Min, Wei
Sodeoka, Mikiko
Goda, Keisuke
author_sort Nishiyama, Ryo
collection PubMed
description Flow cytometry is an indispensable tool in biology and medicine for counting and analyzing cells in large heterogeneous populations. It identifies multiple characteristics of every single cell, typically via fluorescent probes that specifically bind to target molecules on the cell surface or within the cell. However, flow cytometry has a critical limitation: the color barrier. The number of chemical traits that can be simultaneously resolved is typically limited to several due to the spectral overlap between fluorescence signals from different fluorescent probes. Here, we present color-scalable flow cytometry based on coherent Raman flow cytometry with Raman tags to break the color barrier. This is made possible by combining a broadband Fourier-transform coherent anti-Stokes Raman scattering (FT-CARS) flow cytometer, resonance-enhanced cyanine-based Raman tags, and Raman-active dots (Rdots). Specifically, we synthesized 20 cyanine-based Raman tags whose Raman spectra are linearly independent in the fingerprint region (400 to 1,600 cm(−1)). For highly sensitive detection, we produced Rdots composed of 12 different Raman tags in polymer nanoparticles whose detection limit was as low as 12 nM for a short FT-CARS signal integration time of 420 µs. We performed multiplex flow cytometry of MCF-7 breast cancer cells stained by 12 different Rdots with a high classification accuracy of 98%. Moreover, we demonstrated a large-scale time-course analysis of endocytosis via the multiplex Raman flow cytometer. Our method can theoretically achieve flow cytometry of live cells with >140 colors based on a single excitation laser and a single detector without increasing instrument size, cost, or complexity.
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spelling pubmed-99507872023-02-25 Color-scalable flow cytometry with Raman tags Nishiyama, Ryo Hiramatsu, Kotaro Kawamura, Shintaro Dodo, Kosuke Furuya, Kei de Pablo, Julia Gala Takizawa, Shigekazu Min, Wei Sodeoka, Mikiko Goda, Keisuke PNAS Nexus Research Report Flow cytometry is an indispensable tool in biology and medicine for counting and analyzing cells in large heterogeneous populations. It identifies multiple characteristics of every single cell, typically via fluorescent probes that specifically bind to target molecules on the cell surface or within the cell. However, flow cytometry has a critical limitation: the color barrier. The number of chemical traits that can be simultaneously resolved is typically limited to several due to the spectral overlap between fluorescence signals from different fluorescent probes. Here, we present color-scalable flow cytometry based on coherent Raman flow cytometry with Raman tags to break the color barrier. This is made possible by combining a broadband Fourier-transform coherent anti-Stokes Raman scattering (FT-CARS) flow cytometer, resonance-enhanced cyanine-based Raman tags, and Raman-active dots (Rdots). Specifically, we synthesized 20 cyanine-based Raman tags whose Raman spectra are linearly independent in the fingerprint region (400 to 1,600 cm(−1)). For highly sensitive detection, we produced Rdots composed of 12 different Raman tags in polymer nanoparticles whose detection limit was as low as 12 nM for a short FT-CARS signal integration time of 420 µs. We performed multiplex flow cytometry of MCF-7 breast cancer cells stained by 12 different Rdots with a high classification accuracy of 98%. Moreover, we demonstrated a large-scale time-course analysis of endocytosis via the multiplex Raman flow cytometer. Our method can theoretically achieve flow cytometry of live cells with >140 colors based on a single excitation laser and a single detector without increasing instrument size, cost, or complexity. Oxford University Press 2023-01-14 /pmc/articles/PMC9950787/ /pubmed/36845353 http://dx.doi.org/10.1093/pnasnexus/pgad001 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the National Academy of Sciences. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Report
Nishiyama, Ryo
Hiramatsu, Kotaro
Kawamura, Shintaro
Dodo, Kosuke
Furuya, Kei
de Pablo, Julia Gala
Takizawa, Shigekazu
Min, Wei
Sodeoka, Mikiko
Goda, Keisuke
Color-scalable flow cytometry with Raman tags
title Color-scalable flow cytometry with Raman tags
title_full Color-scalable flow cytometry with Raman tags
title_fullStr Color-scalable flow cytometry with Raman tags
title_full_unstemmed Color-scalable flow cytometry with Raman tags
title_short Color-scalable flow cytometry with Raman tags
title_sort color-scalable flow cytometry with raman tags
topic Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950787/
https://www.ncbi.nlm.nih.gov/pubmed/36845353
http://dx.doi.org/10.1093/pnasnexus/pgad001
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