Voltage imaging reveals the dynamic electrical signatures of human breast cancer cells
Voltage imaging and machine learning reveal that human breast cancer cells exhibit voltage fluctuations absent in non-tumorigenic breast cells, beginning to shed light on the bioelectric properties of cancer processes.
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2022-11-01
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Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-022-04077-2 |
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author | Peter Quicke Yilin Sun Mar Arias-Garcia Melina Beykou Corey D. Acker Mustafa B. A. Djamgoz Chris Bakal Amanda J. Foust |
author_facet | Peter Quicke Yilin Sun Mar Arias-Garcia Melina Beykou Corey D. Acker Mustafa B. A. Djamgoz Chris Bakal Amanda J. Foust |
author_sort | Peter Quicke |
collection | DOAJ |
description | Voltage imaging and machine learning reveal that human breast cancer cells exhibit voltage fluctuations absent in non-tumorigenic breast cells, beginning to shed light on the bioelectric properties of cancer processes. |
first_indexed | 2024-04-11T08:04:12Z |
format | Article |
id | doaj.art-e10a44ad5ba14b0297c8bbdfa3ee4e4f |
institution | Directory Open Access Journal |
issn | 2399-3642 |
language | English |
last_indexed | 2024-04-11T08:04:12Z |
publishDate | 2022-11-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Communications Biology |
spelling | doaj.art-e10a44ad5ba14b0297c8bbdfa3ee4e4f2022-12-22T04:35:37ZengNature PortfolioCommunications Biology2399-36422022-11-015111410.1038/s42003-022-04077-2Voltage imaging reveals the dynamic electrical signatures of human breast cancer cellsPeter Quicke0Yilin Sun1Mar Arias-Garcia2Melina Beykou3Corey D. Acker4Mustafa B. A. Djamgoz5Chris Bakal6Amanda J. Foust7Department of Bioengineering, Imperial College LondonDepartment of Bioengineering, Imperial College LondonInstitute of Cancer Research, Cancer BiologyInstitute of Cancer Research, Cancer BiologyUniversity of Connecticut School of Medicine, R. D. Berlin Center for Cell Analysis and ModelingDepartment of Life Sciences, Imperial College LondonInstitute of Cancer Research, Cancer BiologyDepartment of Bioengineering, Imperial College LondonVoltage imaging and machine learning reveal that human breast cancer cells exhibit voltage fluctuations absent in non-tumorigenic breast cells, beginning to shed light on the bioelectric properties of cancer processes.https://doi.org/10.1038/s42003-022-04077-2 |
spellingShingle | Peter Quicke Yilin Sun Mar Arias-Garcia Melina Beykou Corey D. Acker Mustafa B. A. Djamgoz Chris Bakal Amanda J. Foust Voltage imaging reveals the dynamic electrical signatures of human breast cancer cells Communications Biology |
title | Voltage imaging reveals the dynamic electrical signatures of human breast cancer cells |
title_full | Voltage imaging reveals the dynamic electrical signatures of human breast cancer cells |
title_fullStr | Voltage imaging reveals the dynamic electrical signatures of human breast cancer cells |
title_full_unstemmed | Voltage imaging reveals the dynamic electrical signatures of human breast cancer cells |
title_short | Voltage imaging reveals the dynamic electrical signatures of human breast cancer cells |
title_sort | voltage imaging reveals the dynamic electrical signatures of human breast cancer cells |
url | https://doi.org/10.1038/s42003-022-04077-2 |
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