Ultrasensitive and multiplexed tracking of single cells using whole-body PET/CT
In vivo molecular imaging tools are crucially important for elucidating how cells move through complex biological systems; however, achieving single-cell sensitivity over the entire body remains challenging. Here, we report a highly sensitive and multiplexed approach for tracking upward of 20 single...
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creator | Nguyen, Hieu T M Das, Neeladrisingha Ricks, Matthew Zhong, Xiaoxu Takematsu, Eri Wang, Yuting Ruvalcaba, Carlos Mehadji, Brahim Roncali, Emilie Chan, Charles K F Pratx, Guillem |
description | In vivo molecular imaging tools are crucially important for elucidating how cells move through complex biological systems; however, achieving single-cell sensitivity over the entire body remains challenging. Here, we report a highly sensitive and multiplexed approach for tracking upward of 20 single cells simultaneously in the same subject using positron emission tomography (PET). The method relies on a statistical tracking algorithm (PEPT-EM) to achieve a sensitivity of 4 becquerel per cell and a streamlined workflow to reliably label single cells with over 50 becquerel per cell of
F-fluorodeoxyglucose (FDG). To demonstrate the potential of the method, we tracked the fate of more than 70 melanoma cells after intracardiac injection and found they primarily arrested in the small capillaries of the pulmonary, musculoskeletal, and digestive organ systems. This study bolsters the evolving potential of PET in offering unmatched insights into the earliest phases of cell trafficking in physiological and pathological processes and in cell-based therapies. |
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F-fluorodeoxyglucose (FDG). To demonstrate the potential of the method, we tracked the fate of more than 70 melanoma cells after intracardiac injection and found they primarily arrested in the small capillaries of the pulmonary, musculoskeletal, and digestive organ systems. This study bolsters the evolving potential of PET in offering unmatched insights into the earliest phases of cell trafficking in physiological and pathological processes and in cell-based therapies.</description><identifier>ISSN: 2375-2548</identifier><identifier>EISSN: 2375-2548</identifier><identifier>DOI: 10.1126/sciadv.adk5747</identifier><identifier>PMID: 38875333</identifier><language>eng</language><publisher>United States: American Association for the Advancement of Science</publisher><subject>Algorithms ; Animals ; Applied Sciences and Engineering ; Cancer ; Cell Line, Tumor ; Cell Tracking - methods ; Fluorodeoxyglucose F18 ; Humans ; Melanoma - diagnostic imaging ; Melanoma - pathology ; Mice ; Physical and Materials Sciences ; Positron Emission Tomography Computed Tomography - methods ; SciAdv r-articles ; Single-Cell Analysis - methods ; Whole Body Imaging - methods</subject><ispartof>Science advances, 2024-06, Vol.10 (24), p.eadk5747</ispartof><rights>Copyright © 2024 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2024 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0001-5394-0432 ; 0000-0001-5315-612X ; 0000-0003-2094-4773 ; 0000-0001-5790-1895 ; 0000-0002-0247-6470 ; 0000-0002-2941-1837 ; 0000-0002-2439-1064 ; 0000-0003-3740-3535</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11177933/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11177933/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38875333$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nguyen, Hieu T M</creatorcontrib><creatorcontrib>Das, Neeladrisingha</creatorcontrib><creatorcontrib>Ricks, Matthew</creatorcontrib><creatorcontrib>Zhong, Xiaoxu</creatorcontrib><creatorcontrib>Takematsu, Eri</creatorcontrib><creatorcontrib>Wang, Yuting</creatorcontrib><creatorcontrib>Ruvalcaba, Carlos</creatorcontrib><creatorcontrib>Mehadji, Brahim</creatorcontrib><creatorcontrib>Roncali, Emilie</creatorcontrib><creatorcontrib>Chan, Charles K F</creatorcontrib><creatorcontrib>Pratx, Guillem</creatorcontrib><title>Ultrasensitive and multiplexed tracking of single cells using whole-body PET/CT</title><title>Science advances</title><addtitle>Sci Adv</addtitle><description>In vivo molecular imaging tools are crucially important for elucidating how cells move through complex biological systems; however, achieving single-cell sensitivity over the entire body remains challenging. Here, we report a highly sensitive and multiplexed approach for tracking upward of 20 single cells simultaneously in the same subject using positron emission tomography (PET). The method relies on a statistical tracking algorithm (PEPT-EM) to achieve a sensitivity of 4 becquerel per cell and a streamlined workflow to reliably label single cells with over 50 becquerel per cell of
F-fluorodeoxyglucose (FDG). To demonstrate the potential of the method, we tracked the fate of more than 70 melanoma cells after intracardiac injection and found they primarily arrested in the small capillaries of the pulmonary, musculoskeletal, and digestive organ systems. This study bolsters the evolving potential of PET in offering unmatched insights into the earliest phases of cell trafficking in physiological and pathological processes and in cell-based therapies.</description><subject>Algorithms</subject><subject>Animals</subject><subject>Applied Sciences and Engineering</subject><subject>Cancer</subject><subject>Cell Line, Tumor</subject><subject>Cell Tracking - methods</subject><subject>Fluorodeoxyglucose F18</subject><subject>Humans</subject><subject>Melanoma - diagnostic imaging</subject><subject>Melanoma - pathology</subject><subject>Mice</subject><subject>Physical and Materials Sciences</subject><subject>Positron Emission Tomography Computed Tomography - methods</subject><subject>SciAdv r-articles</subject><subject>Single-Cell Analysis - methods</subject><subject>Whole Body Imaging - methods</subject><issn>2375-2548</issn><issn>2375-2548</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUE1PAjEUbIxGCHL1aHr0srDdt92WkzEEPxISPMB50-2-hUr3Q7qL8u8tEQ2e5n1l5s0QcsvCEWNRMnbaqHw_UvmWi1hckH4EggcRj-XlWd0jQ-fewzBkcZJwNrkmPZBScADok8XKtjvlsHKmNXukqspp2dnWNBa_MKd-qbemWtO6oM6jRarRWke7Y0c_N7XFIKvzA32bLcfT5Q25KpR1ODzhgKyeZsvpSzBfPL9OH-dB4_9qA80jprTksVAgWaYnXICORAYMskxAwRKGWkRSCUAOhVZ5XOBxJCULExHDgDz88DZdVmKusfKf2rTZmVLtDmmtTPp_U5lNuq73KWNMiIn3PiD3J4Zd_dGha9PSuKM3VWHduRTCxIfEfYL-9O5c7E_lN0b4Bsbhd48</recordid><startdate>20240614</startdate><enddate>20240614</enddate><creator>Nguyen, Hieu T M</creator><creator>Das, Neeladrisingha</creator><creator>Ricks, Matthew</creator><creator>Zhong, Xiaoxu</creator><creator>Takematsu, Eri</creator><creator>Wang, Yuting</creator><creator>Ruvalcaba, Carlos</creator><creator>Mehadji, Brahim</creator><creator>Roncali, Emilie</creator><creator>Chan, Charles K F</creator><creator>Pratx, Guillem</creator><general>American Association for the Advancement of Science</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5394-0432</orcidid><orcidid>https://orcid.org/0000-0001-5315-612X</orcidid><orcidid>https://orcid.org/0000-0003-2094-4773</orcidid><orcidid>https://orcid.org/0000-0001-5790-1895</orcidid><orcidid>https://orcid.org/0000-0002-0247-6470</orcidid><orcidid>https://orcid.org/0000-0002-2941-1837</orcidid><orcidid>https://orcid.org/0000-0002-2439-1064</orcidid><orcidid>https://orcid.org/0000-0003-3740-3535</orcidid></search><sort><creationdate>20240614</creationdate><title>Ultrasensitive and multiplexed tracking of single cells using whole-body PET/CT</title><author>Nguyen, Hieu T M ; Das, Neeladrisingha ; Ricks, Matthew ; Zhong, Xiaoxu ; Takematsu, Eri ; Wang, Yuting ; Ruvalcaba, Carlos ; Mehadji, Brahim ; Roncali, Emilie ; Chan, Charles K F ; Pratx, Guillem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p237t-c521ac8547a381bc9573c27b313bb73f161ec728a73e53fcad4fe1ec788106743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Animals</topic><topic>Applied Sciences and Engineering</topic><topic>Cancer</topic><topic>Cell Line, Tumor</topic><topic>Cell Tracking - methods</topic><topic>Fluorodeoxyglucose F18</topic><topic>Humans</topic><topic>Melanoma - diagnostic imaging</topic><topic>Melanoma - pathology</topic><topic>Mice</topic><topic>Physical and Materials Sciences</topic><topic>Positron Emission Tomography Computed Tomography - methods</topic><topic>SciAdv r-articles</topic><topic>Single-Cell Analysis - methods</topic><topic>Whole Body Imaging - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nguyen, Hieu T M</creatorcontrib><creatorcontrib>Das, Neeladrisingha</creatorcontrib><creatorcontrib>Ricks, Matthew</creatorcontrib><creatorcontrib>Zhong, Xiaoxu</creatorcontrib><creatorcontrib>Takematsu, Eri</creatorcontrib><creatorcontrib>Wang, Yuting</creatorcontrib><creatorcontrib>Ruvalcaba, Carlos</creatorcontrib><creatorcontrib>Mehadji, Brahim</creatorcontrib><creatorcontrib>Roncali, Emilie</creatorcontrib><creatorcontrib>Chan, Charles K F</creatorcontrib><creatorcontrib>Pratx, Guillem</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Science advances</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nguyen, Hieu T M</au><au>Das, Neeladrisingha</au><au>Ricks, Matthew</au><au>Zhong, Xiaoxu</au><au>Takematsu, Eri</au><au>Wang, Yuting</au><au>Ruvalcaba, Carlos</au><au>Mehadji, Brahim</au><au>Roncali, Emilie</au><au>Chan, Charles K F</au><au>Pratx, Guillem</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ultrasensitive and multiplexed tracking of single cells using whole-body PET/CT</atitle><jtitle>Science advances</jtitle><addtitle>Sci Adv</addtitle><date>2024-06-14</date><risdate>2024</risdate><volume>10</volume><issue>24</issue><spage>eadk5747</spage><pages>eadk5747-</pages><issn>2375-2548</issn><eissn>2375-2548</eissn><abstract>In vivo molecular imaging tools are crucially important for elucidating how cells move through complex biological systems; however, achieving single-cell sensitivity over the entire body remains challenging. Here, we report a highly sensitive and multiplexed approach for tracking upward of 20 single cells simultaneously in the same subject using positron emission tomography (PET). The method relies on a statistical tracking algorithm (PEPT-EM) to achieve a sensitivity of 4 becquerel per cell and a streamlined workflow to reliably label single cells with over 50 becquerel per cell of
F-fluorodeoxyglucose (FDG). To demonstrate the potential of the method, we tracked the fate of more than 70 melanoma cells after intracardiac injection and found they primarily arrested in the small capillaries of the pulmonary, musculoskeletal, and digestive organ systems. This study bolsters the evolving potential of PET in offering unmatched insights into the earliest phases of cell trafficking in physiological and pathological processes and in cell-based therapies.</abstract><cop>United States</cop><pub>American Association for the Advancement of Science</pub><pmid>38875333</pmid><doi>10.1126/sciadv.adk5747</doi><orcidid>https://orcid.org/0000-0001-5394-0432</orcidid><orcidid>https://orcid.org/0000-0001-5315-612X</orcidid><orcidid>https://orcid.org/0000-0003-2094-4773</orcidid><orcidid>https://orcid.org/0000-0001-5790-1895</orcidid><orcidid>https://orcid.org/0000-0002-0247-6470</orcidid><orcidid>https://orcid.org/0000-0002-2941-1837</orcidid><orcidid>https://orcid.org/0000-0002-2439-1064</orcidid><orcidid>https://orcid.org/0000-0003-3740-3535</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Animals Applied Sciences and Engineering Cancer Cell Line, Tumor Cell Tracking - methods Fluorodeoxyglucose F18 Humans Melanoma - diagnostic imaging Melanoma - pathology Mice Physical and Materials Sciences Positron Emission Tomography Computed Tomography - methods SciAdv r-articles Single-Cell Analysis - methods Whole Body Imaging - methods |
title | Ultrasensitive and multiplexed tracking of single cells using whole-body PET/CT |
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