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

The interrogation of enzyme activity involves the ensemble averaging of many cells, loss of spatial relationships and is often biased to abundant proteins. Here the authors develop activity-dependent proximity ligation to quantify enzyme activity at the cellular and sub-cellular level in relevant bi...

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Main Authors:	Gang Li, Jeffrey E. Montgomery, Mark A. Eckert, Jae Won Chang, Samantha M. Tienda, Ernst Lengyel, Raymond E. Moellering
Format:	Article
Language:	English
Published:	Nature Publishing Group 2017-11-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-017-01854-0

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spelling	doaj-4e4b7627eb0e4daf97d1194c3f8abb642021-05-11T07:28:19ZengNature Publishing GroupNature Communications2041-17232017-11-018111210.1038/s41467-017-01854-0An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cellsGang Li0Jeffrey E. Montgomery1Mark A. Eckert2Jae Won Chang3Samantha M. Tienda4Ernst Lengyel5Raymond E. Moellering6Department of Chemistry, The University of ChicagoDepartment of Chemistry, The University of ChicagoDepartment of Obstetrics and Gynecology/Section of Gynecologic Oncology, The University of ChicagoDepartment of Chemistry, The University of ChicagoDepartment of Obstetrics and Gynecology/Section of Gynecologic Oncology, The University of ChicagoDepartment of Obstetrics and Gynecology/Section of Gynecologic Oncology, The University of ChicagoDepartment of Chemistry, The University of ChicagoThe interrogation of enzyme activity involves the ensemble averaging of many cells, loss of spatial relationships and is often biased to abundant proteins. Here the authors develop activity-dependent proximity ligation to quantify enzyme activity at the cellular and sub-cellular level in relevant biological contexts.https://doi.org/10.1038/s41467-017-01854-0
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Gang Li Jeffrey E. Montgomery Mark A. Eckert Jae Won Chang Samantha M. Tienda Ernst Lengyel Raymond E. Moellering
spellingShingle	Gang Li Jeffrey E. Montgomery Mark A. Eckert Jae Won Chang Samantha M. Tienda Ernst Lengyel Raymond E. Moellering An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells Nature Communications
author_facet	Gang Li Jeffrey E. Montgomery Mark A. Eckert Jae Won Chang Samantha M. Tienda Ernst Lengyel Raymond E. Moellering
author_sort	Gang Li
title	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_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_sort	activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2017-11-01
description	The interrogation of enzyme activity involves the ensemble averaging of many cells, loss of spatial relationships and is often biased to abundant proteins. Here the authors develop activity-dependent proximity ligation to quantify enzyme activity at the cellular and sub-cellular level in relevant biological contexts.
url	https://doi.org/10.1038/s41467-017-01854-0
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An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells

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