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Estimation of the time course of neurotransmitter release at central synapses from the first latency of postsynaptic currents

Measurement of the release time course (RTC) and of the quantal content is important for quantifying synaptic precision and understanding the molecular basis of the release process at central synapses. In theory, the RTC can be determined directly from the histogram of first latencies of quantal eve...

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Autores principales: Minneci, Federico, Kanichay, Roby T., Silver, R. Angus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier/North-Holland Biomedical Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314961/
https://www.ncbi.nlm.nih.gov/pubmed/22226741
http://dx.doi.org/10.1016/j.jneumeth.2011.12.015
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author Minneci, Federico
Kanichay, Roby T.
Silver, R. Angus
author_facet Minneci, Federico
Kanichay, Roby T.
Silver, R. Angus
author_sort Minneci, Federico
collection PubMed
description Measurement of the release time course (RTC) and of the quantal content is important for quantifying synaptic precision and understanding the molecular basis of the release process at central synapses. In theory, the RTC can be determined directly from the histogram of first latencies of quantal events only if a maximum of one vesicle is released per trial, but at most synapses multiple vesicles are released. Traditionally, first latency histograms have been corrected for multiple releases using a simple correction, derived by Barrett and Stevens (BS; 1972b) for quantifying release at the neuromuscular junction. This correction has also been used to quantify release at central synapses. We show, by combining an analytical approach and numerical simulations of stochastic quantal release, that the BS correction gives a biased estimate for RTC and quantal content. The bias increases with release probability, and is therefore particularly problematic for central synapses. We show that this is due to assuming infinite availability of releasable vesicles and we derive a formula for estimating the RTC from first latencies without this assumption. The resulting ‘binomial correction’ requires knowledge of the maximum number of quanta that can be released following an action potential (N), which can be estimated with variance-mean analysis. We show with simulations that estimating RTC and quantal content from first latencies using the binomial correction is robust in the presence of noise and when release probability is non-uniform. We also provide an alternative method for estimating RTC from the first latencies when N cannot be determined.
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spelling pubmed-33149612012-04-11 Estimation of the time course of neurotransmitter release at central synapses from the first latency of postsynaptic currents Minneci, Federico Kanichay, Roby T. Silver, R. Angus J Neurosci Methods Basic Neuroscience Measurement of the release time course (RTC) and of the quantal content is important for quantifying synaptic precision and understanding the molecular basis of the release process at central synapses. In theory, the RTC can be determined directly from the histogram of first latencies of quantal events only if a maximum of one vesicle is released per trial, but at most synapses multiple vesicles are released. Traditionally, first latency histograms have been corrected for multiple releases using a simple correction, derived by Barrett and Stevens (BS; 1972b) for quantifying release at the neuromuscular junction. This correction has also been used to quantify release at central synapses. We show, by combining an analytical approach and numerical simulations of stochastic quantal release, that the BS correction gives a biased estimate for RTC and quantal content. The bias increases with release probability, and is therefore particularly problematic for central synapses. We show that this is due to assuming infinite availability of releasable vesicles and we derive a formula for estimating the RTC from first latencies without this assumption. The resulting ‘binomial correction’ requires knowledge of the maximum number of quanta that can be released following an action potential (N), which can be estimated with variance-mean analysis. We show with simulations that estimating RTC and quantal content from first latencies using the binomial correction is robust in the presence of noise and when release probability is non-uniform. We also provide an alternative method for estimating RTC from the first latencies when N cannot be determined. Elsevier/North-Holland Biomedical Press 2012-03-30 /pmc/articles/PMC3314961/ /pubmed/22226741 http://dx.doi.org/10.1016/j.jneumeth.2011.12.015 Text en © 2012 Elsevier B.V. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license
spellingShingle Basic Neuroscience
Minneci, Federico
Kanichay, Roby T.
Silver, R. Angus
Estimation of the time course of neurotransmitter release at central synapses from the first latency of postsynaptic currents
title Estimation of the time course of neurotransmitter release at central synapses from the first latency of postsynaptic currents
title_full Estimation of the time course of neurotransmitter release at central synapses from the first latency of postsynaptic currents
title_fullStr Estimation of the time course of neurotransmitter release at central synapses from the first latency of postsynaptic currents
title_full_unstemmed Estimation of the time course of neurotransmitter release at central synapses from the first latency of postsynaptic currents
title_short Estimation of the time course of neurotransmitter release at central synapses from the first latency of postsynaptic currents
title_sort estimation of the time course of neurotransmitter release at central synapses from the first latency of postsynaptic currents
topic Basic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314961/
https://www.ncbi.nlm.nih.gov/pubmed/22226741
http://dx.doi.org/10.1016/j.jneumeth.2011.12.015
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