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Investigating FlowSight® imaging flow cytometry as a platform to assess chemically induced micronuclei using human lymphoblastoid cells in vitro
Jatin R Verma,
Danielle S G Harte,
Ume-Kulsoom Shah,
Huw Summers ,
Catherine A Thornton,
Shareen H Doak,
Gareth J S Jenkins,
Paul Rees ,
John W Wills,
George Johnson
Mutagenesis, Volume: 33, Issue: 4, Pages: 283 - 289
Swansea University Authors: Huw Summers , Paul Rees , George Johnson
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DOI (Published version): 10.1093/mutage/gey021
Abstract
Use of imaging flow cytometry to assess induced DNA damage via the cytokinesis block micronucleus (CBMN) assay has thus far been limited to radiation dosimetry in human lymphocytes using high end, ‘ImageStream X’ series imaging cytometers. Its potential to enumerate chemically induced DNA damage usi...
Published in: | Mutagenesis |
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ISSN: | 0267-8357 1464-3804 |
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2018
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Its potential to enumerate chemically induced DNA damage using in vitro cell lines remains unexplored. In the present manuscript, we investigate the more affordable FlowSight® imaging cytometry platform to assess in vitro micronucleus (MN) induction in the human lymphoblastoid TK6 and metabolically competent MCL-5 cells treated with Methyl Methane Sulfonate (MMS) (0–5 µg/ml), Carbendazim (0–1.6 µg/ml), and Benzo[a]Pyrene (B[a]P) (0–6.3 µg/ml) for a period of 1.5–2 cell-cycles. Cells were fixed, and nuclei and MN were stained using the fluorescent nuclear dye DRAQ5™. Image acquisition was carried out using a 20X objective on a FlowSight® imaging cytometer (Amnis, part of Merck Millipore) equipped with a 488 nm laser. Populations of ∼20000 brightfield cell images, alongside DRAQ5™ stained nuclei/MN were rapidly collected (≤10 min). Single, in-focus cells suitable for scoring were then isolated using the IDEAS® software. An overlay of the brightfield cell outlines and the DRAQ5 nuclear fluorescence was used to facilitate scoring of mono-, bi-, tri-, and tetra-nucleated cells with or without MN events and in context of the cytoplasmic boundary of the parent cell.To establish the potential of the FlowSight® platform, and to establish ‘ground truth’ cell classification for the supervised machine learning based scoring algorithm that represents the next stage of our project, the captured images were scored manually. Alongside, MN frequencies were also derived using the ‘gold standard’ light microscopy and manual scoring. A minimum of 3000 bi-nucleated cells were assessed using both approaches. Using the benchmark dose approach, the comparability of genotoxic potency estimations for the different compounds and cell lines was assessed across the two scoring platforms as highly similar. This study therefore provides essential proof-of-concept that FlowSight® imaging cytometry is capable of reproducing the results of ‘gold standard’ manual scoring by light microscopy. We conclude that, with the right automated scoring algorithm, imaging flow cytometry could revolutionise the reportability and scoring throughput of the CBMN assay.</abstract><type>Journal Article</type><journal>Mutagenesis</journal><volume>33</volume><journalNumber>4</journalNumber><paginationStart>283</paginationStart><paginationEnd>289</paginationEnd><publisher/><issnPrint>0267-8357</issnPrint><issnElectronic>1464-3804</issnElectronic><keywords>cell cycle, flow cytometry, alkanesulfonates, benchmarking, cell lines, cell nucleus, cytoplasm, dna damage, dyes, fluorescence, immunoglobulins, thyroid-stimulating, infectious mononucleosis, lasers, lymphocytes, methane, micronucleus, pyrenes, radiometry, software, diagnostic imaging, tetracycline, cytokinesis, gold standard, light microscopy, supervised machine learning, proof of concept studies</keywords><publishedDay>11</publishedDay><publishedMonth>10</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-10-11</publishedDate><doi>10.1093/mutage/gey021</doi><url/><notes/><college>COLLEGE NANME</college><department>Biomedical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDE</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2018-11-05T10:44:03.4285405</lastEdited><Created>2018-10-25T09:01:35.7564873</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</level></path><authors><author><firstname>Jatin R</firstname><surname>Verma</surname><order>1</order></author><author><firstname>Danielle S G</firstname><surname>Harte</surname><order>2</order></author><author><firstname>Ume-Kulsoom</firstname><surname>Shah</surname><order>3</order></author><author><firstname>Huw</firstname><surname>Summers</surname><orcid>0000-0002-0898-5612</orcid><order>4</order></author><author><firstname>Catherine A</firstname><surname>Thornton</surname><order>5</order></author><author><firstname>Shareen H</firstname><surname>Doak</surname><order>6</order></author><author><firstname>Gareth J S</firstname><surname>Jenkins</surname><order>7</order></author><author><firstname>Paul</firstname><surname>Rees</surname><orcid>0000-0002-7715-6914</orcid><order>8</order></author><author><firstname>John W</firstname><surname>Wills</surname><order>9</order></author><author><firstname>George</firstname><surname>Johnson</surname><orcid>0000-0001-5643-9942</orcid><order>10</order></author></authors><documents><document><filename>0045207-25102018090816.pdf</filename><originalFilename>verma2018v2.pdf</originalFilename><uploaded>2018-10-25T09:08:16.4800000</uploaded><type>Output</type><contentLength>669608</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2019-09-11T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807> |
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2018-11-05T10:44:03.4285405 v2 45207 2018-10-25 Investigating FlowSight® imaging flow cytometry as a platform to assess chemically induced micronuclei using human lymphoblastoid cells in vitro a61c15e220837ebfa52648c143769427 0000-0002-0898-5612 Huw Summers Huw Summers true false 537a2fe031a796a3bde99679ee8c24f5 0000-0002-7715-6914 Paul Rees Paul Rees true false 37d0f121db69fd09f364df89e4405e31 0000-0001-5643-9942 George Johnson George Johnson true false 2018-10-25 MEDE Use of imaging flow cytometry to assess induced DNA damage via the cytokinesis block micronucleus (CBMN) assay has thus far been limited to radiation dosimetry in human lymphocytes using high end, ‘ImageStream X’ series imaging cytometers. Its potential to enumerate chemically induced DNA damage using in vitro cell lines remains unexplored. In the present manuscript, we investigate the more affordable FlowSight® imaging cytometry platform to assess in vitro micronucleus (MN) induction in the human lymphoblastoid TK6 and metabolically competent MCL-5 cells treated with Methyl Methane Sulfonate (MMS) (0–5 µg/ml), Carbendazim (0–1.6 µg/ml), and Benzo[a]Pyrene (B[a]P) (0–6.3 µg/ml) for a period of 1.5–2 cell-cycles. Cells were fixed, and nuclei and MN were stained using the fluorescent nuclear dye DRAQ5™. Image acquisition was carried out using a 20X objective on a FlowSight® imaging cytometer (Amnis, part of Merck Millipore) equipped with a 488 nm laser. Populations of ∼20000 brightfield cell images, alongside DRAQ5™ stained nuclei/MN were rapidly collected (≤10 min). Single, in-focus cells suitable for scoring were then isolated using the IDEAS® software. An overlay of the brightfield cell outlines and the DRAQ5 nuclear fluorescence was used to facilitate scoring of mono-, bi-, tri-, and tetra-nucleated cells with or without MN events and in context of the cytoplasmic boundary of the parent cell.To establish the potential of the FlowSight® platform, and to establish ‘ground truth’ cell classification for the supervised machine learning based scoring algorithm that represents the next stage of our project, the captured images were scored manually. Alongside, MN frequencies were also derived using the ‘gold standard’ light microscopy and manual scoring. A minimum of 3000 bi-nucleated cells were assessed using both approaches. Using the benchmark dose approach, the comparability of genotoxic potency estimations for the different compounds and cell lines was assessed across the two scoring platforms as highly similar. This study therefore provides essential proof-of-concept that FlowSight® imaging cytometry is capable of reproducing the results of ‘gold standard’ manual scoring by light microscopy. We conclude that, with the right automated scoring algorithm, imaging flow cytometry could revolutionise the reportability and scoring throughput of the CBMN assay. Journal Article Mutagenesis 33 4 283 289 0267-8357 1464-3804 cell cycle, flow cytometry, alkanesulfonates, benchmarking, cell lines, cell nucleus, cytoplasm, dna damage, dyes, fluorescence, immunoglobulins, thyroid-stimulating, infectious mononucleosis, lasers, lymphocytes, methane, micronucleus, pyrenes, radiometry, software, diagnostic imaging, tetracycline, cytokinesis, gold standard, light microscopy, supervised machine learning, proof of concept studies 11 10 2018 2018-10-11 10.1093/mutage/gey021 COLLEGE NANME Biomedical Engineering COLLEGE CODE MEDE Swansea University 2018-11-05T10:44:03.4285405 2018-10-25T09:01:35.7564873 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Jatin R Verma 1 Danielle S G Harte 2 Ume-Kulsoom Shah 3 Huw Summers 0000-0002-0898-5612 4 Catherine A Thornton 5 Shareen H Doak 6 Gareth J S Jenkins 7 Paul Rees 0000-0002-7715-6914 8 John W Wills 9 George Johnson 0000-0001-5643-9942 10 0045207-25102018090816.pdf verma2018v2.pdf 2018-10-25T09:08:16.4800000 Output 669608 application/pdf Accepted Manuscript true 2019-09-11T00:00:00.0000000 true eng |
title |
Investigating FlowSight® imaging flow cytometry as a platform to assess chemically induced micronuclei using human lymphoblastoid cells in vitro |
spellingShingle |
Investigating FlowSight® imaging flow cytometry as a platform to assess chemically induced micronuclei using human lymphoblastoid cells in vitro Huw Summers Paul Rees George Johnson |
title_short |
Investigating FlowSight® imaging flow cytometry as a platform to assess chemically induced micronuclei using human lymphoblastoid cells in vitro |
title_full |
Investigating FlowSight® imaging flow cytometry as a platform to assess chemically induced micronuclei using human lymphoblastoid cells in vitro |
title_fullStr |
Investigating FlowSight® imaging flow cytometry as a platform to assess chemically induced micronuclei using human lymphoblastoid cells in vitro |
title_full_unstemmed |
Investigating FlowSight® imaging flow cytometry as a platform to assess chemically induced micronuclei using human lymphoblastoid cells in vitro |
title_sort |
Investigating FlowSight® imaging flow cytometry as a platform to assess chemically induced micronuclei using human lymphoblastoid cells in vitro |
author_id_str_mv |
a61c15e220837ebfa52648c143769427 537a2fe031a796a3bde99679ee8c24f5 37d0f121db69fd09f364df89e4405e31 |
author_id_fullname_str_mv |
a61c15e220837ebfa52648c143769427_***_Huw Summers 537a2fe031a796a3bde99679ee8c24f5_***_Paul Rees 37d0f121db69fd09f364df89e4405e31_***_George Johnson |
author |
Huw Summers Paul Rees George Johnson |
author2 |
Jatin R Verma Danielle S G Harte Ume-Kulsoom Shah Huw Summers Catherine A Thornton Shareen H Doak Gareth J S Jenkins Paul Rees John W Wills George Johnson |
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Journal article |
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Mutagenesis |
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33 |
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283 |
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2018 |
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Swansea University |
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0267-8357 1464-3804 |
doi_str_mv |
10.1093/mutage/gey021 |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised |
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description |
Use of imaging flow cytometry to assess induced DNA damage via the cytokinesis block micronucleus (CBMN) assay has thus far been limited to radiation dosimetry in human lymphocytes using high end, ‘ImageStream X’ series imaging cytometers. Its potential to enumerate chemically induced DNA damage using in vitro cell lines remains unexplored. In the present manuscript, we investigate the more affordable FlowSight® imaging cytometry platform to assess in vitro micronucleus (MN) induction in the human lymphoblastoid TK6 and metabolically competent MCL-5 cells treated with Methyl Methane Sulfonate (MMS) (0–5 µg/ml), Carbendazim (0–1.6 µg/ml), and Benzo[a]Pyrene (B[a]P) (0–6.3 µg/ml) for a period of 1.5–2 cell-cycles. Cells were fixed, and nuclei and MN were stained using the fluorescent nuclear dye DRAQ5™. Image acquisition was carried out using a 20X objective on a FlowSight® imaging cytometer (Amnis, part of Merck Millipore) equipped with a 488 nm laser. Populations of ∼20000 brightfield cell images, alongside DRAQ5™ stained nuclei/MN were rapidly collected (≤10 min). Single, in-focus cells suitable for scoring were then isolated using the IDEAS® software. An overlay of the brightfield cell outlines and the DRAQ5 nuclear fluorescence was used to facilitate scoring of mono-, bi-, tri-, and tetra-nucleated cells with or without MN events and in context of the cytoplasmic boundary of the parent cell.To establish the potential of the FlowSight® platform, and to establish ‘ground truth’ cell classification for the supervised machine learning based scoring algorithm that represents the next stage of our project, the captured images were scored manually. Alongside, MN frequencies were also derived using the ‘gold standard’ light microscopy and manual scoring. A minimum of 3000 bi-nucleated cells were assessed using both approaches. Using the benchmark dose approach, the comparability of genotoxic potency estimations for the different compounds and cell lines was assessed across the two scoring platforms as highly similar. This study therefore provides essential proof-of-concept that FlowSight® imaging cytometry is capable of reproducing the results of ‘gold standard’ manual scoring by light microscopy. We conclude that, with the right automated scoring algorithm, imaging flow cytometry could revolutionise the reportability and scoring throughput of the CBMN assay. |
published_date |
2018-10-11T03:56:54Z |
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1763752871653801984 |
score |
11.037603 |