Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia
Drug susceptibility (also called chemosensitivity) is an important criterion for developing a therapeutic strategy for various cancer types such as breast cancer and leukemia. Recently, functional assays such as high-content screening together with genomic analysis have been shown to be effective fo...
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Veröffentlicht in: | Lab on a chip 2019-08, Vol.19 (16), p.2688-2698 |
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creator | Kobayashi, Hirofumi Lei, Cheng Wu, Yi Huang, Chun-Jung Yasumoto, Atsushi Jona, Masahiro Li, Wenxuan Wu, Yunzhao Yalikun, Yaxiaer Jiang, Yiyue Guo, Baoshan Sun, Chia-Wei Tanaka, Yo Yamada, Makoto Yatomi, Yutaka Goda, Keisuke |
description | Drug susceptibility (also called chemosensitivity) is an important criterion for developing a therapeutic strategy for various cancer types such as breast cancer and leukemia. Recently, functional assays such as high-content screening together with genomic analysis have been shown to be effective for predicting drug susceptibility, but their clinical applicability is poor since they are time-consuming (several days long), labor-intensive, and costly. Here we present a highly simple, rapid, and cost-effective liquid biopsy for
ex vivo
drug-susceptibility testing of leukemia. The method is based on an extreme-throughput (>1 million cells per second), label-free, whole-blood imaging flow cytometer with a deep convolutional autoencoder, enabling image-based identification of the drug susceptibility of every single white blood cell in whole blood within 24 hours by simply flowing a drug-treated whole blood sample as little as 500 L into the imaging flow cytometer without labeling. Our results show that the method accurately evaluates the drug susceptibility of white blood cells from untreated patients with acute lymphoblastic leukemia. Our method holds promise for affordable precision medicine.
The drug susceptibility of leukemia cells in whole blood is evaluated by using extreme-throughput imaging flow cytometry with deep learning. |
doi_str_mv | 10.1039/c8lc01370e |
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ex vivo
drug-susceptibility testing of leukemia. The method is based on an extreme-throughput (>1 million cells per second), label-free, whole-blood imaging flow cytometer with a deep convolutional autoencoder, enabling image-based identification of the drug susceptibility of every single white blood cell in whole blood within 24 hours by simply flowing a drug-treated whole blood sample as little as 500 L into the imaging flow cytometer without labeling. Our results show that the method accurately evaluates the drug susceptibility of white blood cells from untreated patients with acute lymphoblastic leukemia. Our method holds promise for affordable precision medicine.
The drug susceptibility of leukemia cells in whole blood is evaluated by using extreme-throughput imaging flow cytometry with deep learning.</description><identifier>ISSN: 1473-0197</identifier><identifier>EISSN: 1473-0189</identifier><identifier>DOI: 10.1039/c8lc01370e</identifier><identifier>PMID: 31287108</identifier><language>eng</language><publisher>England: Royal Society of Chemistry</publisher><subject>Blood ; Flow cytometry ; Leukemia ; Leukocytes ; Medical imaging ; Test procedures</subject><ispartof>Lab on a chip, 2019-08, Vol.19 (16), p.2688-2698</ispartof><rights>Copyright Royal Society of Chemistry 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c481t-32ef94bdbad7a51a5745edddbac16bea2ed045b7c3d580aea49c6da3743423cc3</citedby><cites>FETCH-LOGICAL-c481t-32ef94bdbad7a51a5745edddbac16bea2ed045b7c3d580aea49c6da3743423cc3</cites><orcidid>0000-0003-1034-5718 ; 0000-0001-8439-4235 ; 0000-0002-4505-2061</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31287108$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kobayashi, Hirofumi</creatorcontrib><creatorcontrib>Lei, Cheng</creatorcontrib><creatorcontrib>Wu, Yi</creatorcontrib><creatorcontrib>Huang, Chun-Jung</creatorcontrib><creatorcontrib>Yasumoto, Atsushi</creatorcontrib><creatorcontrib>Jona, Masahiro</creatorcontrib><creatorcontrib>Li, Wenxuan</creatorcontrib><creatorcontrib>Wu, Yunzhao</creatorcontrib><creatorcontrib>Yalikun, Yaxiaer</creatorcontrib><creatorcontrib>Jiang, Yiyue</creatorcontrib><creatorcontrib>Guo, Baoshan</creatorcontrib><creatorcontrib>Sun, Chia-Wei</creatorcontrib><creatorcontrib>Tanaka, Yo</creatorcontrib><creatorcontrib>Yamada, Makoto</creatorcontrib><creatorcontrib>Yatomi, Yutaka</creatorcontrib><creatorcontrib>Goda, Keisuke</creatorcontrib><title>Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia</title><title>Lab on a chip</title><addtitle>Lab Chip</addtitle><description>Drug susceptibility (also called chemosensitivity) is an important criterion for developing a therapeutic strategy for various cancer types such as breast cancer and leukemia. Recently, functional assays such as high-content screening together with genomic analysis have been shown to be effective for predicting drug susceptibility, but their clinical applicability is poor since they are time-consuming (several days long), labor-intensive, and costly. Here we present a highly simple, rapid, and cost-effective liquid biopsy for
ex vivo
drug-susceptibility testing of leukemia. The method is based on an extreme-throughput (>1 million cells per second), label-free, whole-blood imaging flow cytometer with a deep convolutional autoencoder, enabling image-based identification of the drug susceptibility of every single white blood cell in whole blood within 24 hours by simply flowing a drug-treated whole blood sample as little as 500 L into the imaging flow cytometer without labeling. Our results show that the method accurately evaluates the drug susceptibility of white blood cells from untreated patients with acute lymphoblastic leukemia. Our method holds promise for affordable precision medicine.
The drug susceptibility of leukemia cells in whole blood is evaluated by using extreme-throughput imaging flow cytometry with deep learning.</description><subject>Blood</subject><subject>Flow cytometry</subject><subject>Leukemia</subject><subject>Leukocytes</subject><subject>Medical imaging</subject><subject>Test procedures</subject><issn>1473-0197</issn><issn>1473-0189</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpdkcFLHDEUh0NRqrW99K4EvBRx2mSSTDLHslgrLHix5yGTvNnGZiZjkqks-Mc3du0WPL088vHjx_sQ-kjJZ0pY-8UobwhlksAbdEy5ZBWhqj3Yv1t5hN6ldE8IFbxRb9ERo7WSlKhj9HQzZfDebWDK-PFn8FD1PgSL3ag3btrgwYdHbLY5jJDjFg8h4uTG2cMljnp29hLryWITUq5gGMBk9xuwjcumSksyMGfXO-_yFmdI-TkwDNjD8gtGp9-jw0H7BB9e5gn68e3qbvW9Wt9e36y-rivDFc0Vq2FoeW97baUWVAvJBVhbdkObHnQNlnDRS8OsUESD5q1prGaSM14zY9gJ-rTLnWN4WEqPbnSlm_d6grCkrq4FF1S2ihb0_BV6H5Y4lXaFapRom0bUhbrYUSaGlCIM3RzLweK2o6R7dtKt1Hr118lVgc9eIpd-BLtH_0kowOkOiMnsf_9LZX8Am_mTlw</recordid><startdate>20190806</startdate><enddate>20190806</enddate><creator>Kobayashi, Hirofumi</creator><creator>Lei, Cheng</creator><creator>Wu, Yi</creator><creator>Huang, Chun-Jung</creator><creator>Yasumoto, Atsushi</creator><creator>Jona, Masahiro</creator><creator>Li, Wenxuan</creator><creator>Wu, Yunzhao</creator><creator>Yalikun, Yaxiaer</creator><creator>Jiang, Yiyue</creator><creator>Guo, Baoshan</creator><creator>Sun, Chia-Wei</creator><creator>Tanaka, Yo</creator><creator>Yamada, Makoto</creator><creator>Yatomi, Yutaka</creator><creator>Goda, Keisuke</creator><general>Royal Society of Chemistry</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>L7M</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1034-5718</orcidid><orcidid>https://orcid.org/0000-0001-8439-4235</orcidid><orcidid>https://orcid.org/0000-0002-4505-2061</orcidid></search><sort><creationdate>20190806</creationdate><title>Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia</title><author>Kobayashi, Hirofumi ; Lei, Cheng ; Wu, Yi ; Huang, Chun-Jung ; Yasumoto, Atsushi ; Jona, Masahiro ; Li, Wenxuan ; Wu, Yunzhao ; Yalikun, Yaxiaer ; Jiang, Yiyue ; Guo, Baoshan ; Sun, Chia-Wei ; Tanaka, Yo ; Yamada, Makoto ; Yatomi, Yutaka ; Goda, Keisuke</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-32ef94bdbad7a51a5745edddbac16bea2ed045b7c3d580aea49c6da3743423cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Blood</topic><topic>Flow cytometry</topic><topic>Leukemia</topic><topic>Leukocytes</topic><topic>Medical imaging</topic><topic>Test procedures</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kobayashi, Hirofumi</creatorcontrib><creatorcontrib>Lei, Cheng</creatorcontrib><creatorcontrib>Wu, Yi</creatorcontrib><creatorcontrib>Huang, Chun-Jung</creatorcontrib><creatorcontrib>Yasumoto, Atsushi</creatorcontrib><creatorcontrib>Jona, Masahiro</creatorcontrib><creatorcontrib>Li, Wenxuan</creatorcontrib><creatorcontrib>Wu, Yunzhao</creatorcontrib><creatorcontrib>Yalikun, Yaxiaer</creatorcontrib><creatorcontrib>Jiang, Yiyue</creatorcontrib><creatorcontrib>Guo, Baoshan</creatorcontrib><creatorcontrib>Sun, Chia-Wei</creatorcontrib><creatorcontrib>Tanaka, Yo</creatorcontrib><creatorcontrib>Yamada, Makoto</creatorcontrib><creatorcontrib>Yatomi, Yutaka</creatorcontrib><creatorcontrib>Goda, Keisuke</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Lab on a chip</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kobayashi, Hirofumi</au><au>Lei, Cheng</au><au>Wu, Yi</au><au>Huang, Chun-Jung</au><au>Yasumoto, Atsushi</au><au>Jona, Masahiro</au><au>Li, Wenxuan</au><au>Wu, Yunzhao</au><au>Yalikun, Yaxiaer</au><au>Jiang, Yiyue</au><au>Guo, Baoshan</au><au>Sun, Chia-Wei</au><au>Tanaka, Yo</au><au>Yamada, Makoto</au><au>Yatomi, Yutaka</au><au>Goda, Keisuke</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia</atitle><jtitle>Lab on a chip</jtitle><addtitle>Lab Chip</addtitle><date>2019-08-06</date><risdate>2019</risdate><volume>19</volume><issue>16</issue><spage>2688</spage><epage>2698</epage><pages>2688-2698</pages><issn>1473-0197</issn><eissn>1473-0189</eissn><abstract>Drug susceptibility (also called chemosensitivity) is an important criterion for developing a therapeutic strategy for various cancer types such as breast cancer and leukemia. Recently, functional assays such as high-content screening together with genomic analysis have been shown to be effective for predicting drug susceptibility, but their clinical applicability is poor since they are time-consuming (several days long), labor-intensive, and costly. Here we present a highly simple, rapid, and cost-effective liquid biopsy for
ex vivo
drug-susceptibility testing of leukemia. The method is based on an extreme-throughput (>1 million cells per second), label-free, whole-blood imaging flow cytometer with a deep convolutional autoencoder, enabling image-based identification of the drug susceptibility of every single white blood cell in whole blood within 24 hours by simply flowing a drug-treated whole blood sample as little as 500 L into the imaging flow cytometer without labeling. Our results show that the method accurately evaluates the drug susceptibility of white blood cells from untreated patients with acute lymphoblastic leukemia. Our method holds promise for affordable precision medicine.
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source | Royal Society Of Chemistry Journals 2008-; Alma/SFX Local Collection |
subjects | Blood Flow cytometry Leukemia Leukocytes Medical imaging Test procedures |
title | Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia |
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