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An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells

Integration of chemical probes into proteomic workflows enables the interrogation of protein activity, rather than abundance. Current methods limit the biological contexts that can be addressed due to sample homogenization, signal-averaging, and bias toward abundant proteins. Here we report a platfo...

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Autores principales: Li, Gang, Montgomery, Jeffrey E., Eckert, Mark A., Chang, Jae Won, Tienda, Samantha M., Lengyel, Ernst, Moellering, Raymond E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701173/
https://www.ncbi.nlm.nih.gov/pubmed/29176560
http://dx.doi.org/10.1038/s41467-017-01854-0
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author Li, Gang
Montgomery, Jeffrey E.
Eckert, Mark A.
Chang, Jae Won
Tienda, Samantha M.
Lengyel, Ernst
Moellering, Raymond E.
author_facet Li, Gang
Montgomery, Jeffrey E.
Eckert, Mark A.
Chang, Jae Won
Tienda, Samantha M.
Lengyel, Ernst
Moellering, Raymond E.
author_sort Li, Gang
collection PubMed
description Integration of chemical probes into proteomic workflows enables the interrogation of protein activity, rather than abundance. Current methods limit the biological contexts that can be addressed due to sample homogenization, signal-averaging, and bias toward abundant proteins. Here we report a platform that integrates family-wide chemical probes with proximity-dependent oligonucleotide amplification and imaging to quantify enzyme activity in native contexts with high spatial resolution. Application of this method, activity-dependent proximity ligation (ADPL), to serine hydrolase and cysteine protease enzymes enables quantification of differential enzyme activity resulting from endogenous changes in localization and expression. In a competitive format, small-molecule target engagement with endogenous proteins in live cells can be quantified. Finally, retention of sample architecture enables interrogation of complex environments such as cellular co-culture and patient samples. ADPL should be amenable to diverse probe and protein families to detect active enzymes at scale and resolution out of reach with current methods.
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spelling pubmed-57011732017-11-27 An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells Li, Gang Montgomery, Jeffrey E. Eckert, Mark A. Chang, Jae Won Tienda, Samantha M. Lengyel, Ernst Moellering, Raymond E. Nat Commun Article Integration of chemical probes into proteomic workflows enables the interrogation of protein activity, rather than abundance. Current methods limit the biological contexts that can be addressed due to sample homogenization, signal-averaging, and bias toward abundant proteins. Here we report a platform that integrates family-wide chemical probes with proximity-dependent oligonucleotide amplification and imaging to quantify enzyme activity in native contexts with high spatial resolution. Application of this method, activity-dependent proximity ligation (ADPL), to serine hydrolase and cysteine protease enzymes enables quantification of differential enzyme activity resulting from endogenous changes in localization and expression. In a competitive format, small-molecule target engagement with endogenous proteins in live cells can be quantified. Finally, retention of sample architecture enables interrogation of complex environments such as cellular co-culture and patient samples. ADPL should be amenable to diverse probe and protein families to detect active enzymes at scale and resolution out of reach with current methods. Nature Publishing Group UK 2017-11-24 /pmc/articles/PMC5701173/ /pubmed/29176560 http://dx.doi.org/10.1038/s41467-017-01854-0 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Li, Gang
Montgomery, Jeffrey E.
Eckert, Mark A.
Chang, Jae Won
Tienda, Samantha M.
Lengyel, Ernst
Moellering, Raymond E.
An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells
title An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells
title_full An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells
title_fullStr An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells
title_full_unstemmed An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells
title_short An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells
title_sort activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701173/
https://www.ncbi.nlm.nih.gov/pubmed/29176560
http://dx.doi.org/10.1038/s41467-017-01854-0
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