Molecular machines in the synapse: overlapping protein sets control distinct steps in neurosecretion.

Activity regulated neurotransmission shapes the computational properties of a neuron and involves the concerted action of many proteins. Classical, intuitive working models often assign specific proteins to specific steps in such complex cellular processes, whereas modern systems theories emphasize...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: L Niels Cornelisse, Evgeni Tsivtsivadze, Marieke Meijer, Tjeerd M H Dijkstra, Tom Heskes, Matthijs Verhage
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2012
Materias:
Acceso en línea:https://doaj.org/article/eb8a63eabcad48f3bd8a55dd4272468d
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:eb8a63eabcad48f3bd8a55dd4272468d
record_format dspace
spelling oai:doaj.org-article:eb8a63eabcad48f3bd8a55dd4272468d2021-11-18T05:51:26ZMolecular machines in the synapse: overlapping protein sets control distinct steps in neurosecretion.1553-734X1553-735810.1371/journal.pcbi.1002450https://doaj.org/article/eb8a63eabcad48f3bd8a55dd4272468d2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22496630/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Activity regulated neurotransmission shapes the computational properties of a neuron and involves the concerted action of many proteins. Classical, intuitive working models often assign specific proteins to specific steps in such complex cellular processes, whereas modern systems theories emphasize more integrated functions of proteins. To test how often synaptic proteins participate in multiple steps in neurotransmission we present a novel probabilistic method to analyze complex functional data from genetic perturbation studies on neuronal secretion. Our method uses a mixture of probabilistic principal component analyzers to cluster genetic perturbations on two distinct steps in synaptic secretion, vesicle priming and fusion, and accounts for the poor standardization between different studies. Clustering data from 121 perturbations revealed that different perturbations of a given protein are often assigned to different steps in the release process. Furthermore, vesicle priming and fusion are inversely correlated for most of those perturbations where a specific protein domain was mutated to create a gain-of-function variant. Finally, two different modes of vesicle release, spontaneous and action potential evoked release, were affected similarly by most perturbations. This data suggests that the presynaptic protein network has evolved as a highly integrated supramolecular machine, which is responsible for both spontaneous and activity induced release, with a group of core proteins using different domains to act on multiple steps in the release process.L Niels CornelisseEvgeni TsivtsivadzeMarieke MeijerTjeerd M H DijkstraTom HeskesMatthijs VerhagePublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 8, Iss 4, p e1002450 (2012)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
L Niels Cornelisse
Evgeni Tsivtsivadze
Marieke Meijer
Tjeerd M H Dijkstra
Tom Heskes
Matthijs Verhage
Molecular machines in the synapse: overlapping protein sets control distinct steps in neurosecretion.
description Activity regulated neurotransmission shapes the computational properties of a neuron and involves the concerted action of many proteins. Classical, intuitive working models often assign specific proteins to specific steps in such complex cellular processes, whereas modern systems theories emphasize more integrated functions of proteins. To test how often synaptic proteins participate in multiple steps in neurotransmission we present a novel probabilistic method to analyze complex functional data from genetic perturbation studies on neuronal secretion. Our method uses a mixture of probabilistic principal component analyzers to cluster genetic perturbations on two distinct steps in synaptic secretion, vesicle priming and fusion, and accounts for the poor standardization between different studies. Clustering data from 121 perturbations revealed that different perturbations of a given protein are often assigned to different steps in the release process. Furthermore, vesicle priming and fusion are inversely correlated for most of those perturbations where a specific protein domain was mutated to create a gain-of-function variant. Finally, two different modes of vesicle release, spontaneous and action potential evoked release, were affected similarly by most perturbations. This data suggests that the presynaptic protein network has evolved as a highly integrated supramolecular machine, which is responsible for both spontaneous and activity induced release, with a group of core proteins using different domains to act on multiple steps in the release process.
format article
author L Niels Cornelisse
Evgeni Tsivtsivadze
Marieke Meijer
Tjeerd M H Dijkstra
Tom Heskes
Matthijs Verhage
author_facet L Niels Cornelisse
Evgeni Tsivtsivadze
Marieke Meijer
Tjeerd M H Dijkstra
Tom Heskes
Matthijs Verhage
author_sort L Niels Cornelisse
title Molecular machines in the synapse: overlapping protein sets control distinct steps in neurosecretion.
title_short Molecular machines in the synapse: overlapping protein sets control distinct steps in neurosecretion.
title_full Molecular machines in the synapse: overlapping protein sets control distinct steps in neurosecretion.
title_fullStr Molecular machines in the synapse: overlapping protein sets control distinct steps in neurosecretion.
title_full_unstemmed Molecular machines in the synapse: overlapping protein sets control distinct steps in neurosecretion.
title_sort molecular machines in the synapse: overlapping protein sets control distinct steps in neurosecretion.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/eb8a63eabcad48f3bd8a55dd4272468d
work_keys_str_mv AT lnielscornelisse molecularmachinesinthesynapseoverlappingproteinsetscontroldistinctstepsinneurosecretion
AT evgenitsivtsivadze molecularmachinesinthesynapseoverlappingproteinsetscontroldistinctstepsinneurosecretion
AT mariekemeijer molecularmachinesinthesynapseoverlappingproteinsetscontroldistinctstepsinneurosecretion
AT tjeerdmhdijkstra molecularmachinesinthesynapseoverlappingproteinsetscontroldistinctstepsinneurosecretion
AT tomheskes molecularmachinesinthesynapseoverlappingproteinsetscontroldistinctstepsinneurosecretion
AT matthijsverhage molecularmachinesinthesynapseoverlappingproteinsetscontroldistinctstepsinneurosecretion
_version_ 1718424763445018624