Cargando…
Quantifying single-cell secretion in real time using resonant hyperspectral imaging
Cell communication is primarily regulated by secreted proteins, whose inhomogeneous secretion often indicates physiological disorder. Parallel monitoring of innate protein-secretion kinetics from individual cells is thus crucial to unravel systemic malfunctions. Here, we report a label-free, high-th...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6310807/ https://www.ncbi.nlm.nih.gov/pubmed/30530663 http://dx.doi.org/10.1073/pnas.1814977115 |
_version_ | 1783383497227894784 |
---|---|
author | Juan-Colás, José Hitchcock, Ian S. Coles, Mark Johnson, Steven Krauss, Thomas F. |
author_facet | Juan-Colás, José Hitchcock, Ian S. Coles, Mark Johnson, Steven Krauss, Thomas F. |
author_sort | Juan-Colás, José |
collection | PubMed |
description | Cell communication is primarily regulated by secreted proteins, whose inhomogeneous secretion often indicates physiological disorder. Parallel monitoring of innate protein-secretion kinetics from individual cells is thus crucial to unravel systemic malfunctions. Here, we report a label-free, high-throughput method for parallel, in vitro, and real-time analysis of specific single-cell signaling using hyperspectral photonic crystal resonant technology. Heterogeneity in physiological thrombopoietin expression from individual HepG2 liver cells in response to platelet desialylation was quantified demonstrating how mapping real-time protein secretion can provide a simple, yet powerful approach for studying complex physiological systems regulating protein production at single-cell resolution. |
format | Online Article Text |
id | pubmed-6310807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-63108072019-01-04 Quantifying single-cell secretion in real time using resonant hyperspectral imaging Juan-Colás, José Hitchcock, Ian S. Coles, Mark Johnson, Steven Krauss, Thomas F. Proc Natl Acad Sci U S A Physical Sciences Cell communication is primarily regulated by secreted proteins, whose inhomogeneous secretion often indicates physiological disorder. Parallel monitoring of innate protein-secretion kinetics from individual cells is thus crucial to unravel systemic malfunctions. Here, we report a label-free, high-throughput method for parallel, in vitro, and real-time analysis of specific single-cell signaling using hyperspectral photonic crystal resonant technology. Heterogeneity in physiological thrombopoietin expression from individual HepG2 liver cells in response to platelet desialylation was quantified demonstrating how mapping real-time protein secretion can provide a simple, yet powerful approach for studying complex physiological systems regulating protein production at single-cell resolution. National Academy of Sciences 2018-12-26 2018-12-10 /pmc/articles/PMC6310807/ /pubmed/30530663 http://dx.doi.org/10.1073/pnas.1814977115 Text en Copyright © 2018 the Author(s). Published by PNAS. http://creativecommons.org/licenses/by/4.0/ This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Physical Sciences Juan-Colás, José Hitchcock, Ian S. Coles, Mark Johnson, Steven Krauss, Thomas F. Quantifying single-cell secretion in real time using resonant hyperspectral imaging |
title | Quantifying single-cell secretion in real time using resonant hyperspectral imaging |
title_full | Quantifying single-cell secretion in real time using resonant hyperspectral imaging |
title_fullStr | Quantifying single-cell secretion in real time using resonant hyperspectral imaging |
title_full_unstemmed | Quantifying single-cell secretion in real time using resonant hyperspectral imaging |
title_short | Quantifying single-cell secretion in real time using resonant hyperspectral imaging |
title_sort | quantifying single-cell secretion in real time using resonant hyperspectral imaging |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6310807/ https://www.ncbi.nlm.nih.gov/pubmed/30530663 http://dx.doi.org/10.1073/pnas.1814977115 |
work_keys_str_mv | AT juancolasjose quantifyingsinglecellsecretioninrealtimeusingresonanthyperspectralimaging AT hitchcockians quantifyingsinglecellsecretioninrealtimeusingresonanthyperspectralimaging AT colesmark quantifyingsinglecellsecretioninrealtimeusingresonanthyperspectralimaging AT johnsonsteven quantifyingsinglecellsecretioninrealtimeusingresonanthyperspectralimaging AT kraussthomasf quantifyingsinglecellsecretioninrealtimeusingresonanthyperspectralimaging |