Visualization of glutamine transporter activities in living cells using genetically encoded glutamine sensors.

Glutamine plays a central role in the metabolism of critical biological molecules such as amino acids, proteins, neurotransmitters, and glutathione. Since glutamine metabolism is regulated through multiple enzymes and transporters, the cellular glutamine concentration is expected to be temporally dy...

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Main Authors: Katrin Gruenwald, John Todd Holland, Verlyn Stromberg, Altaf Ahmad, Daisy Watcharakichkorn, Sakiko Okumoto
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22723868/pdf/?tool=EBI
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spelling doaj-c8e189195077477fb59d8d06aa4795752021-03-03T20:28:44ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0176e3859110.1371/journal.pone.0038591Visualization of glutamine transporter activities in living cells using genetically encoded glutamine sensors.Katrin GruenwaldJohn Todd HollandVerlyn StrombergAltaf AhmadDaisy WatcharakichkornSakiko OkumotoGlutamine plays a central role in the metabolism of critical biological molecules such as amino acids, proteins, neurotransmitters, and glutathione. Since glutamine metabolism is regulated through multiple enzymes and transporters, the cellular glutamine concentration is expected to be temporally dynamic. Moreover, differentiation in glutamine metabolism between cell types in the same tissue (e.g. neuronal and glial cells) is often crucial for the proper function of the tissue as a whole, yet assessing cell-type specific activities of transporters and enzymes in such heterogenic tissue by physical fractionation is extremely challenging. Therefore, a method of reporting glutamine dynamics at the cellular level is highly desirable. Genetically encoded sensors can be targeted to a specific cell type, hence addressing this knowledge gap. Here we report the development of Föster Resonance Energy Transfer (FRET) glutamine sensors based on improved cyan and yellow fluorescent proteins, monomeric Teal Fluorescent Protein (mTFP)1 and venus. These sensors were found to be specific to glutamine, and stable to pH-changes within a physiological range. Using cos7 cells expressing the human glutamine transporter ASCT2 as a model, we demonstrate that the properties of the glutamine transporter can easily be analyzed with these sensors. The range of glutamine concentration change in a given cell can also be estimated using sensors with different affinities. Moreover, the mTFP1-venus FRET pair can be duplexed with another FRET pair, mAmetrine and tdTomato, opening up the possibility for real-time imaging of another molecule. These novel glutamine sensors will be useful tools to analyze specificities of glutamine metabolism at the single-cell level.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22723868/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Katrin Gruenwald
John Todd Holland
Verlyn Stromberg
Altaf Ahmad
Daisy Watcharakichkorn
Sakiko Okumoto
spellingShingle Katrin Gruenwald
John Todd Holland
Verlyn Stromberg
Altaf Ahmad
Daisy Watcharakichkorn
Sakiko Okumoto
Visualization of glutamine transporter activities in living cells using genetically encoded glutamine sensors.
PLoS ONE
author_facet Katrin Gruenwald
John Todd Holland
Verlyn Stromberg
Altaf Ahmad
Daisy Watcharakichkorn
Sakiko Okumoto
author_sort Katrin Gruenwald
title Visualization of glutamine transporter activities in living cells using genetically encoded glutamine sensors.
title_short Visualization of glutamine transporter activities in living cells using genetically encoded glutamine sensors.
title_full Visualization of glutamine transporter activities in living cells using genetically encoded glutamine sensors.
title_fullStr Visualization of glutamine transporter activities in living cells using genetically encoded glutamine sensors.
title_full_unstemmed Visualization of glutamine transporter activities in living cells using genetically encoded glutamine sensors.
title_sort visualization of glutamine transporter activities in living cells using genetically encoded glutamine sensors.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description Glutamine plays a central role in the metabolism of critical biological molecules such as amino acids, proteins, neurotransmitters, and glutathione. Since glutamine metabolism is regulated through multiple enzymes and transporters, the cellular glutamine concentration is expected to be temporally dynamic. Moreover, differentiation in glutamine metabolism between cell types in the same tissue (e.g. neuronal and glial cells) is often crucial for the proper function of the tissue as a whole, yet assessing cell-type specific activities of transporters and enzymes in such heterogenic tissue by physical fractionation is extremely challenging. Therefore, a method of reporting glutamine dynamics at the cellular level is highly desirable. Genetically encoded sensors can be targeted to a specific cell type, hence addressing this knowledge gap. Here we report the development of Föster Resonance Energy Transfer (FRET) glutamine sensors based on improved cyan and yellow fluorescent proteins, monomeric Teal Fluorescent Protein (mTFP)1 and venus. These sensors were found to be specific to glutamine, and stable to pH-changes within a physiological range. Using cos7 cells expressing the human glutamine transporter ASCT2 as a model, we demonstrate that the properties of the glutamine transporter can easily be analyzed with these sensors. The range of glutamine concentration change in a given cell can also be estimated using sensors with different affinities. Moreover, the mTFP1-venus FRET pair can be duplexed with another FRET pair, mAmetrine and tdTomato, opening up the possibility for real-time imaging of another molecule. These novel glutamine sensors will be useful tools to analyze specificities of glutamine metabolism at the single-cell level.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22723868/pdf/?tool=EBI
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