MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors

Abstract Many critical advances in research utilize techniques that combine high-resolution with high-content characterization at the single cell level. We introduce the MICS (MACSima Imaging Cyclic Staining) technology, which enables the immunofluorescent imaging of hundreds of protein targets acro...
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Autor*in:	Ali Kinkhabwala [verfasserIn] Christoph Herbel [verfasserIn] Jennifer Pankratz [verfasserIn] Dmytro A. Yushchenko [verfasserIn] Silvia Rüberg [verfasserIn] Paurush Praveen [verfasserIn] Sandy Reiß [verfasserIn] Federico Carlos Rodriguez [verfasserIn] Daniel Schäfer [verfasserIn] Jutta Kollet [verfasserIn] Vera Dittmer [verfasserIn] Manuel Martinez-Osuna [verfasserIn] Lara Minnerup [verfasserIn] Claudia Reinhard [verfasserIn] Andrzej Dzionek [verfasserIn] Thomas Dino Rockel [verfasserIn] Stefan Borbe [verfasserIn] Martin Büscher [verfasserIn] Jürgen Krieg [verfasserIn] Michel Nederlof [verfasserIn] Melanie Jungblut [verfasserIn] Dominik Eckardt [verfasserIn] Olaf Hardt [verfasserIn] Christian Dose [verfasserIn] Eik Schumann [verfasserIn] Ralf-Peter Peters [verfasserIn] Stefan Miltenyi [verfasserIn] Jürgen Schmitz [verfasserIn] Werner Müller [verfasserIn] Andreas Bosio [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Übergeordnetes Werk:	In: Scientific Reports - Nature Portfolio, 2011, 12(2022), 1, Seite 16
Übergeordnetes Werk:	volume:12 ; year:2022 ; number:1 ; pages:16

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1038/s41598-022-05841-4

Katalog-ID:	DOAJ011670398

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520			\|a Abstract Many critical advances in research utilize techniques that combine high-resolution with high-content characterization at the single cell level. We introduce the MICS (MACSima Imaging Cyclic Staining) technology, which enables the immunofluorescent imaging of hundreds of protein targets across a single specimen at subcellular resolution. MICS is based on cycles of staining, imaging, and erasure, using photobleaching of fluorescent labels of recombinant antibodies (REAfinity Antibodies), or release of antibodies (REAlease Antibodies) or their labels (REAdye_lease Antibodies). Multimarker analysis can identify potential targets for immune therapy against solid tumors. With MICS we analysed human glioblastoma, ovarian and pancreatic carcinoma, and 16 healthy tissues, identifying the pair EPCAM/THY1 as a potential target for chimeric antigen receptor (CAR) T cell therapy for ovarian carcinoma. Using an Adapter CAR T cell approach, we show selective killing of cells only if both markers are expressed. MICS represents a new high-content microscopy methodology widely applicable for personalized medicine.
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allfields	10.1038/s41598-022-05841-4 doi (DE-627)DOAJ011670398 (DE-599)DOAJ8cf0671c34744fd4a8bb1836d460b2a8 DE-627 ger DE-627 rakwb eng Ali Kinkhabwala verfasserin aut MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Many critical advances in research utilize techniques that combine high-resolution with high-content characterization at the single cell level. We introduce the MICS (MACSima Imaging Cyclic Staining) technology, which enables the immunofluorescent imaging of hundreds of protein targets across a single specimen at subcellular resolution. MICS is based on cycles of staining, imaging, and erasure, using photobleaching of fluorescent labels of recombinant antibodies (REAfinity Antibodies), or release of antibodies (REAlease Antibodies) or their labels (REAdye_lease Antibodies). Multimarker analysis can identify potential targets for immune therapy against solid tumors. With MICS we analysed human glioblastoma, ovarian and pancreatic carcinoma, and 16 healthy tissues, identifying the pair EPCAM/THY1 as a potential target for chimeric antigen receptor (CAR) T cell therapy for ovarian carcinoma. Using an Adapter CAR T cell approach, we show selective killing of cells only if both markers are expressed. MICS represents a new high-content microscopy methodology widely applicable for personalized medicine. Medicine R Science Q Christoph Herbel verfasserin aut Jennifer Pankratz verfasserin aut Dmytro A. Yushchenko verfasserin aut Silvia Rüberg verfasserin aut Paurush Praveen verfasserin aut Sandy Reiß verfasserin aut Federico Carlos Rodriguez verfasserin aut Daniel Schäfer verfasserin aut Jutta Kollet verfasserin aut Vera Dittmer verfasserin aut Manuel Martinez-Osuna verfasserin aut Lara Minnerup verfasserin aut Claudia Reinhard verfasserin aut Andrzej Dzionek verfasserin aut Thomas Dino Rockel verfasserin aut Stefan Borbe verfasserin aut Martin Büscher verfasserin aut Jürgen Krieg verfasserin aut Michel Nederlof verfasserin aut Melanie Jungblut verfasserin aut Dominik Eckardt verfasserin aut Olaf Hardt verfasserin aut Christian Dose verfasserin aut Eik Schumann verfasserin aut Ralf-Peter Peters verfasserin aut Stefan Miltenyi verfasserin aut Jürgen Schmitz verfasserin aut Werner Müller verfasserin aut Andreas Bosio verfasserin aut In Scientific Reports Nature Portfolio, 2011 12(2022), 1, Seite 16 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:12 year:2022 number:1 pages:16 https://doi.org/10.1038/s41598-022-05841-4 kostenfrei https://doaj.org/article/8cf0671c34744fd4a8bb1836d460b2a8 kostenfrei https://doi.org/10.1038/s41598-022-05841-4 kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 1 16
spelling	10.1038/s41598-022-05841-4 doi (DE-627)DOAJ011670398 (DE-599)DOAJ8cf0671c34744fd4a8bb1836d460b2a8 DE-627 ger DE-627 rakwb eng Ali Kinkhabwala verfasserin aut MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Many critical advances in research utilize techniques that combine high-resolution with high-content characterization at the single cell level. We introduce the MICS (MACSima Imaging Cyclic Staining) technology, which enables the immunofluorescent imaging of hundreds of protein targets across a single specimen at subcellular resolution. MICS is based on cycles of staining, imaging, and erasure, using photobleaching of fluorescent labels of recombinant antibodies (REAfinity Antibodies), or release of antibodies (REAlease Antibodies) or their labels (REAdye_lease Antibodies). Multimarker analysis can identify potential targets for immune therapy against solid tumors. With MICS we analysed human glioblastoma, ovarian and pancreatic carcinoma, and 16 healthy tissues, identifying the pair EPCAM/THY1 as a potential target for chimeric antigen receptor (CAR) T cell therapy for ovarian carcinoma. Using an Adapter CAR T cell approach, we show selective killing of cells only if both markers are expressed. MICS represents a new high-content microscopy methodology widely applicable for personalized medicine. Medicine R Science Q Christoph Herbel verfasserin aut Jennifer Pankratz verfasserin aut Dmytro A. Yushchenko verfasserin aut Silvia Rüberg verfasserin aut Paurush Praveen verfasserin aut Sandy Reiß verfasserin aut Federico Carlos Rodriguez verfasserin aut Daniel Schäfer verfasserin aut Jutta Kollet verfasserin aut Vera Dittmer verfasserin aut Manuel Martinez-Osuna verfasserin aut Lara Minnerup verfasserin aut Claudia Reinhard verfasserin aut Andrzej Dzionek verfasserin aut Thomas Dino Rockel verfasserin aut Stefan Borbe verfasserin aut Martin Büscher verfasserin aut Jürgen Krieg verfasserin aut Michel Nederlof verfasserin aut Melanie Jungblut verfasserin aut Dominik Eckardt verfasserin aut Olaf Hardt verfasserin aut Christian Dose verfasserin aut Eik Schumann verfasserin aut Ralf-Peter Peters verfasserin aut Stefan Miltenyi verfasserin aut Jürgen Schmitz verfasserin aut Werner Müller verfasserin aut Andreas Bosio verfasserin aut In Scientific Reports Nature Portfolio, 2011 12(2022), 1, Seite 16 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:12 year:2022 number:1 pages:16 https://doi.org/10.1038/s41598-022-05841-4 kostenfrei https://doaj.org/article/8cf0671c34744fd4a8bb1836d460b2a8 kostenfrei https://doi.org/10.1038/s41598-022-05841-4 kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 1 16
allfields_unstemmed	10.1038/s41598-022-05841-4 doi (DE-627)DOAJ011670398 (DE-599)DOAJ8cf0671c34744fd4a8bb1836d460b2a8 DE-627 ger DE-627 rakwb eng Ali Kinkhabwala verfasserin aut MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Many critical advances in research utilize techniques that combine high-resolution with high-content characterization at the single cell level. We introduce the MICS (MACSima Imaging Cyclic Staining) technology, which enables the immunofluorescent imaging of hundreds of protein targets across a single specimen at subcellular resolution. MICS is based on cycles of staining, imaging, and erasure, using photobleaching of fluorescent labels of recombinant antibodies (REAfinity Antibodies), or release of antibodies (REAlease Antibodies) or their labels (REAdye_lease Antibodies). Multimarker analysis can identify potential targets for immune therapy against solid tumors. With MICS we analysed human glioblastoma, ovarian and pancreatic carcinoma, and 16 healthy tissues, identifying the pair EPCAM/THY1 as a potential target for chimeric antigen receptor (CAR) T cell therapy for ovarian carcinoma. Using an Adapter CAR T cell approach, we show selective killing of cells only if both markers are expressed. MICS represents a new high-content microscopy methodology widely applicable for personalized medicine. Medicine R Science Q Christoph Herbel verfasserin aut Jennifer Pankratz verfasserin aut Dmytro A. Yushchenko verfasserin aut Silvia Rüberg verfasserin aut Paurush Praveen verfasserin aut Sandy Reiß verfasserin aut Federico Carlos Rodriguez verfasserin aut Daniel Schäfer verfasserin aut Jutta Kollet verfasserin aut Vera Dittmer verfasserin aut Manuel Martinez-Osuna verfasserin aut Lara Minnerup verfasserin aut Claudia Reinhard verfasserin aut Andrzej Dzionek verfasserin aut Thomas Dino Rockel verfasserin aut Stefan Borbe verfasserin aut Martin Büscher verfasserin aut Jürgen Krieg verfasserin aut Michel Nederlof verfasserin aut Melanie Jungblut verfasserin aut Dominik Eckardt verfasserin aut Olaf Hardt verfasserin aut Christian Dose verfasserin aut Eik Schumann verfasserin aut Ralf-Peter Peters verfasserin aut Stefan Miltenyi verfasserin aut Jürgen Schmitz verfasserin aut Werner Müller verfasserin aut Andreas Bosio verfasserin aut In Scientific Reports Nature Portfolio, 2011 12(2022), 1, Seite 16 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:12 year:2022 number:1 pages:16 https://doi.org/10.1038/s41598-022-05841-4 kostenfrei https://doaj.org/article/8cf0671c34744fd4a8bb1836d460b2a8 kostenfrei https://doi.org/10.1038/s41598-022-05841-4 kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 1 16
allfieldsGer	10.1038/s41598-022-05841-4 doi (DE-627)DOAJ011670398 (DE-599)DOAJ8cf0671c34744fd4a8bb1836d460b2a8 DE-627 ger DE-627 rakwb eng Ali Kinkhabwala verfasserin aut MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Many critical advances in research utilize techniques that combine high-resolution with high-content characterization at the single cell level. We introduce the MICS (MACSima Imaging Cyclic Staining) technology, which enables the immunofluorescent imaging of hundreds of protein targets across a single specimen at subcellular resolution. MICS is based on cycles of staining, imaging, and erasure, using photobleaching of fluorescent labels of recombinant antibodies (REAfinity Antibodies), or release of antibodies (REAlease Antibodies) or their labels (REAdye_lease Antibodies). Multimarker analysis can identify potential targets for immune therapy against solid tumors. With MICS we analysed human glioblastoma, ovarian and pancreatic carcinoma, and 16 healthy tissues, identifying the pair EPCAM/THY1 as a potential target for chimeric antigen receptor (CAR) T cell therapy for ovarian carcinoma. Using an Adapter CAR T cell approach, we show selective killing of cells only if both markers are expressed. MICS represents a new high-content microscopy methodology widely applicable for personalized medicine. Medicine R Science Q Christoph Herbel verfasserin aut Jennifer Pankratz verfasserin aut Dmytro A. Yushchenko verfasserin aut Silvia Rüberg verfasserin aut Paurush Praveen verfasserin aut Sandy Reiß verfasserin aut Federico Carlos Rodriguez verfasserin aut Daniel Schäfer verfasserin aut Jutta Kollet verfasserin aut Vera Dittmer verfasserin aut Manuel Martinez-Osuna verfasserin aut Lara Minnerup verfasserin aut Claudia Reinhard verfasserin aut Andrzej Dzionek verfasserin aut Thomas Dino Rockel verfasserin aut Stefan Borbe verfasserin aut Martin Büscher verfasserin aut Jürgen Krieg verfasserin aut Michel Nederlof verfasserin aut Melanie Jungblut verfasserin aut Dominik Eckardt verfasserin aut Olaf Hardt verfasserin aut Christian Dose verfasserin aut Eik Schumann verfasserin aut Ralf-Peter Peters verfasserin aut Stefan Miltenyi verfasserin aut Jürgen Schmitz verfasserin aut Werner Müller verfasserin aut Andreas Bosio verfasserin aut In Scientific Reports Nature Portfolio, 2011 12(2022), 1, Seite 16 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:12 year:2022 number:1 pages:16 https://doi.org/10.1038/s41598-022-05841-4 kostenfrei https://doaj.org/article/8cf0671c34744fd4a8bb1836d460b2a8 kostenfrei https://doi.org/10.1038/s41598-022-05841-4 kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 1 16
allfieldsSound	10.1038/s41598-022-05841-4 doi (DE-627)DOAJ011670398 (DE-599)DOAJ8cf0671c34744fd4a8bb1836d460b2a8 DE-627 ger DE-627 rakwb eng Ali Kinkhabwala verfasserin aut MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Many critical advances in research utilize techniques that combine high-resolution with high-content characterization at the single cell level. We introduce the MICS (MACSima Imaging Cyclic Staining) technology, which enables the immunofluorescent imaging of hundreds of protein targets across a single specimen at subcellular resolution. MICS is based on cycles of staining, imaging, and erasure, using photobleaching of fluorescent labels of recombinant antibodies (REAfinity Antibodies), or release of antibodies (REAlease Antibodies) or their labels (REAdye_lease Antibodies). Multimarker analysis can identify potential targets for immune therapy against solid tumors. With MICS we analysed human glioblastoma, ovarian and pancreatic carcinoma, and 16 healthy tissues, identifying the pair EPCAM/THY1 as a potential target for chimeric antigen receptor (CAR) T cell therapy for ovarian carcinoma. Using an Adapter CAR T cell approach, we show selective killing of cells only if both markers are expressed. MICS represents a new high-content microscopy methodology widely applicable for personalized medicine. Medicine R Science Q Christoph Herbel verfasserin aut Jennifer Pankratz verfasserin aut Dmytro A. Yushchenko verfasserin aut Silvia Rüberg verfasserin aut Paurush Praveen verfasserin aut Sandy Reiß verfasserin aut Federico Carlos Rodriguez verfasserin aut Daniel Schäfer verfasserin aut Jutta Kollet verfasserin aut Vera Dittmer verfasserin aut Manuel Martinez-Osuna verfasserin aut Lara Minnerup verfasserin aut Claudia Reinhard verfasserin aut Andrzej Dzionek verfasserin aut Thomas Dino Rockel verfasserin aut Stefan Borbe verfasserin aut Martin Büscher verfasserin aut Jürgen Krieg verfasserin aut Michel Nederlof verfasserin aut Melanie Jungblut verfasserin aut Dominik Eckardt verfasserin aut Olaf Hardt verfasserin aut Christian Dose verfasserin aut Eik Schumann verfasserin aut Ralf-Peter Peters verfasserin aut Stefan Miltenyi verfasserin aut Jürgen Schmitz verfasserin aut Werner Müller verfasserin aut Andreas Bosio verfasserin aut In Scientific Reports Nature Portfolio, 2011 12(2022), 1, Seite 16 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:12 year:2022 number:1 pages:16 https://doi.org/10.1038/s41598-022-05841-4 kostenfrei https://doaj.org/article/8cf0671c34744fd4a8bb1836d460b2a8 kostenfrei https://doi.org/10.1038/s41598-022-05841-4 kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 1 16
language	English
source	In Scientific Reports 12(2022), 1, Seite 16 volume:12 year:2022 number:1 pages:16
sourceStr	In Scientific Reports 12(2022), 1, Seite 16 volume:12 year:2022 number:1 pages:16
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Medicine R Science Q
isfreeaccess_bool	true
container_title	Scientific Reports
authorswithroles_txt_mv	Ali Kinkhabwala @@aut@@ Christoph Herbel @@aut@@ Jennifer Pankratz @@aut@@ Dmytro A. Yushchenko @@aut@@ Silvia Rüberg @@aut@@ Paurush Praveen @@aut@@ Sandy Reiß @@aut@@ Federico Carlos Rodriguez @@aut@@ Daniel Schäfer @@aut@@ Jutta Kollet @@aut@@ Vera Dittmer @@aut@@ Manuel Martinez-Osuna @@aut@@ Lara Minnerup @@aut@@ Claudia Reinhard @@aut@@ Andrzej Dzionek @@aut@@ Thomas Dino Rockel @@aut@@ Stefan Borbe @@aut@@ Martin Büscher @@aut@@ Jürgen Krieg @@aut@@ Michel Nederlof @@aut@@ Melanie Jungblut @@aut@@ Dominik Eckardt @@aut@@ Olaf Hardt @@aut@@ Christian Dose @@aut@@ Eik Schumann @@aut@@ Ralf-Peter Peters @@aut@@ Stefan Miltenyi @@aut@@ Jürgen Schmitz @@aut@@ Werner Müller @@aut@@ Andreas Bosio @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	663366712
id	DOAJ011670398
language_de	englisch
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author	Ali Kinkhabwala
spellingShingle	Ali Kinkhabwala misc Medicine misc R misc Science misc Q MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors
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topic_title	MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors
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title	MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors
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title_full	MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors
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author_browse	Ali Kinkhabwala Christoph Herbel Jennifer Pankratz Dmytro A. Yushchenko Silvia Rüberg Paurush Praveen Sandy Reiß Federico Carlos Rodriguez Daniel Schäfer Jutta Kollet Vera Dittmer Manuel Martinez-Osuna Lara Minnerup Claudia Reinhard Andrzej Dzionek Thomas Dino Rockel Stefan Borbe Martin Büscher Jürgen Krieg Michel Nederlof Melanie Jungblut Dominik Eckardt Olaf Hardt Christian Dose Eik Schumann Ralf-Peter Peters Stefan Miltenyi Jürgen Schmitz Werner Müller Andreas Bosio
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title_sort	macsima imaging cyclic staining (mics) technology reveals combinatorial target pairs for car t cell treatment of solid tumors
title_auth	MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors
abstract	Abstract Many critical advances in research utilize techniques that combine high-resolution with high-content characterization at the single cell level. We introduce the MICS (MACSima Imaging Cyclic Staining) technology, which enables the immunofluorescent imaging of hundreds of protein targets across a single specimen at subcellular resolution. MICS is based on cycles of staining, imaging, and erasure, using photobleaching of fluorescent labels of recombinant antibodies (REAfinity Antibodies), or release of antibodies (REAlease Antibodies) or their labels (REAdye_lease Antibodies). Multimarker analysis can identify potential targets for immune therapy against solid tumors. With MICS we analysed human glioblastoma, ovarian and pancreatic carcinoma, and 16 healthy tissues, identifying the pair EPCAM/THY1 as a potential target for chimeric antigen receptor (CAR) T cell therapy for ovarian carcinoma. Using an Adapter CAR T cell approach, we show selective killing of cells only if both markers are expressed. MICS represents a new high-content microscopy methodology widely applicable for personalized medicine.
abstractGer	Abstract Many critical advances in research utilize techniques that combine high-resolution with high-content characterization at the single cell level. We introduce the MICS (MACSima Imaging Cyclic Staining) technology, which enables the immunofluorescent imaging of hundreds of protein targets across a single specimen at subcellular resolution. MICS is based on cycles of staining, imaging, and erasure, using photobleaching of fluorescent labels of recombinant antibodies (REAfinity Antibodies), or release of antibodies (REAlease Antibodies) or their labels (REAdye_lease Antibodies). Multimarker analysis can identify potential targets for immune therapy against solid tumors. With MICS we analysed human glioblastoma, ovarian and pancreatic carcinoma, and 16 healthy tissues, identifying the pair EPCAM/THY1 as a potential target for chimeric antigen receptor (CAR) T cell therapy for ovarian carcinoma. Using an Adapter CAR T cell approach, we show selective killing of cells only if both markers are expressed. MICS represents a new high-content microscopy methodology widely applicable for personalized medicine.
abstract_unstemmed	Abstract Many critical advances in research utilize techniques that combine high-resolution with high-content characterization at the single cell level. We introduce the MICS (MACSima Imaging Cyclic Staining) technology, which enables the immunofluorescent imaging of hundreds of protein targets across a single specimen at subcellular resolution. MICS is based on cycles of staining, imaging, and erasure, using photobleaching of fluorescent labels of recombinant antibodies (REAfinity Antibodies), or release of antibodies (REAlease Antibodies) or their labels (REAdye_lease Antibodies). Multimarker analysis can identify potential targets for immune therapy against solid tumors. With MICS we analysed human glioblastoma, ovarian and pancreatic carcinoma, and 16 healthy tissues, identifying the pair EPCAM/THY1 as a potential target for chimeric antigen receptor (CAR) T cell therapy for ovarian carcinoma. Using an Adapter CAR T cell approach, we show selective killing of cells only if both markers are expressed. MICS represents a new high-content microscopy methodology widely applicable for personalized medicine.
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title_short	MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors
url	https://doi.org/10.1038/s41598-022-05841-4 https://doaj.org/article/8cf0671c34744fd4a8bb1836d460b2a8 https://doaj.org/toc/2045-2322
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