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Threshold-Free Population Analysis Identifies Larger DRG Neurons to Respond Stronger to NGF Stimulation

Sensory neurons in dorsal root ganglia (DRG) are highly heterogeneous in terms of cell size, protein expression, and signaling activity. To analyze their heterogeneity, threshold-based methods are commonly used, which often yield highly variable results due to the subjectivity of the individual inve...

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Autores principales: Andres, Christine, Hasenauer, Jan, Allgower, Frank, Hucho, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3313987/
https://www.ncbi.nlm.nih.gov/pubmed/22479579
http://dx.doi.org/10.1371/journal.pone.0034257
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author Andres, Christine
Hasenauer, Jan
Allgower, Frank
Hucho, Tim
author_facet Andres, Christine
Hasenauer, Jan
Allgower, Frank
Hucho, Tim
author_sort Andres, Christine
collection PubMed
description Sensory neurons in dorsal root ganglia (DRG) are highly heterogeneous in terms of cell size, protein expression, and signaling activity. To analyze their heterogeneity, threshold-based methods are commonly used, which often yield highly variable results due to the subjectivity of the individual investigator. In this work, we introduce a threshold-free analysis approach for sparse and highly heterogeneous datasets obtained from cultures of sensory neurons. This approach is based on population estimates and completely free of investigator-set parameters. With a quantitative automated microscope we measured the signaling state of single DRG neurons by immunofluorescently labeling phosphorylated, i.e., activated Erk1/2. The population density of sensory neurons with and without pain-sensitizing nerve growth factor (NGF) treatment was estimated using a kernel density estimator (KDE). By subtraction of both densities and integration of the positive part, a robust estimate for the size of the responsive subpopulations was obtained. To assure sufficiently large datasets, we determined the number of cells required for reliable estimates using a bootstrapping approach. The proposed methods were employed to analyze response kinetics and response amplitude of DRG neurons after NGF stimulation. We thereby determined the portion of NGF responsive cells on a true population basis. The analysis of the dose dependent NGF response unraveled a biphasic behavior, while the study of its time dependence showed a rapid response, which approached a steady state after less than five minutes. Analyzing two parameter correlations, we found that not only the number of responsive small-sized neurons exceeds the number of responsive large-sized neurons—which is commonly reported and could be explained by the excess of small-sized cells—but also the probability that small-sized cells respond to NGF is higher. In contrast, medium-sized and large-sized neurons showed a larger response amplitude in their mean Erk1/2 activity.
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spelling pubmed-33139872012-04-04 Threshold-Free Population Analysis Identifies Larger DRG Neurons to Respond Stronger to NGF Stimulation Andres, Christine Hasenauer, Jan Allgower, Frank Hucho, Tim PLoS One Research Article Sensory neurons in dorsal root ganglia (DRG) are highly heterogeneous in terms of cell size, protein expression, and signaling activity. To analyze their heterogeneity, threshold-based methods are commonly used, which often yield highly variable results due to the subjectivity of the individual investigator. In this work, we introduce a threshold-free analysis approach for sparse and highly heterogeneous datasets obtained from cultures of sensory neurons. This approach is based on population estimates and completely free of investigator-set parameters. With a quantitative automated microscope we measured the signaling state of single DRG neurons by immunofluorescently labeling phosphorylated, i.e., activated Erk1/2. The population density of sensory neurons with and without pain-sensitizing nerve growth factor (NGF) treatment was estimated using a kernel density estimator (KDE). By subtraction of both densities and integration of the positive part, a robust estimate for the size of the responsive subpopulations was obtained. To assure sufficiently large datasets, we determined the number of cells required for reliable estimates using a bootstrapping approach. The proposed methods were employed to analyze response kinetics and response amplitude of DRG neurons after NGF stimulation. We thereby determined the portion of NGF responsive cells on a true population basis. The analysis of the dose dependent NGF response unraveled a biphasic behavior, while the study of its time dependence showed a rapid response, which approached a steady state after less than five minutes. Analyzing two parameter correlations, we found that not only the number of responsive small-sized neurons exceeds the number of responsive large-sized neurons—which is commonly reported and could be explained by the excess of small-sized cells—but also the probability that small-sized cells respond to NGF is higher. In contrast, medium-sized and large-sized neurons showed a larger response amplitude in their mean Erk1/2 activity. Public Library of Science 2012-03-27 /pmc/articles/PMC3313987/ /pubmed/22479579 http://dx.doi.org/10.1371/journal.pone.0034257 Text en Andres et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Andres, Christine
Hasenauer, Jan
Allgower, Frank
Hucho, Tim
Threshold-Free Population Analysis Identifies Larger DRG Neurons to Respond Stronger to NGF Stimulation
title Threshold-Free Population Analysis Identifies Larger DRG Neurons to Respond Stronger to NGF Stimulation
title_full Threshold-Free Population Analysis Identifies Larger DRG Neurons to Respond Stronger to NGF Stimulation
title_fullStr Threshold-Free Population Analysis Identifies Larger DRG Neurons to Respond Stronger to NGF Stimulation
title_full_unstemmed Threshold-Free Population Analysis Identifies Larger DRG Neurons to Respond Stronger to NGF Stimulation
title_short Threshold-Free Population Analysis Identifies Larger DRG Neurons to Respond Stronger to NGF Stimulation
title_sort threshold-free population analysis identifies larger drg neurons to respond stronger to ngf stimulation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3313987/
https://www.ncbi.nlm.nih.gov/pubmed/22479579
http://dx.doi.org/10.1371/journal.pone.0034257
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