0000000000022734

AUTHOR

Pierre Parutto

0000-0002-9866-407x

showing 4 related works from this author

Biophysics of high density nanometer regions extracted from super-resolution single particle trajectories: application to voltage-gated calcium chann…

2019

AbstractThe cellular membrane is very heterogenous and enriched with high-density regions forming microdomains, as revealed by single particle tracking experiments. However the organization of these regions remain unexplained. We determine here the biophysical properties of these regions, when described as a basin of attraction. We develop two methods to recover the dynamics and local potential wells (field of force and boundary). The first method is based on the local density of points distribution of trajectories, which differs inside and outside the wells. The second method focuses on recovering the drift field that is convergent inside wells and uses the transient field to determine the…

0301 basic medicineField (physics)1.1 Normal biological development and functioningHigh densityBoundary (topology)lcsh:Medicine32 Biomedical and Clinical SciencesLocal field potentialArticleQuantitative Biology::Cell BehaviorQuantitative Biology::Subcellular ProcessesComputational biophysics03 medical and health sciences0302 clinical medicineSingle-molecule biophysics1 Underpinning researchlcsh:SciencePhysicsMultidisciplinary3208 Medical PhysiologyVoltage-dependent calcium channelFOS: Clinical medicinelcsh:RNeurosciencesScientific data030104 developmental biologyParticleNanometrelcsh:QBiological systemBiological physics51 Physical Sciences030217 neurology & neurosurgeryEnergy (signal processing)
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Transient Confinement of CaV2.1 Ca2+-Channel Splice Variants Shapes Synaptic Short-Term Plasticity

2019

Summary The precision and reliability of synaptic information transfer depend on the molecular organization of voltage-gated calcium channels (VGCCs) within the presynaptic membrane. Alternative splicing of exon 47 affects the C-terminal structure of VGCCs and their affinity to intracellular partners and synaptic vesicles (SVs). We show that hippocampal synapses expressing VGCCs either with exon 47 (CaV2.1+47) or without (CaV2.1Δ47) differ in release probability and short-term plasticity. Tracking single channels revealed transient visits (∼100 ms) of presynaptic VGCCs in nanodomains (∼80 nm) that were controlled by neuronal network activity. Surprisingly, despite harboring prominent bindin…

0301 basic medicineVoltage-dependent calcium channelbiologyChemistryGeneral NeuroscienceCalcium channelAlternative splicingNeurotransmissionSynaptic vesiclePresynapseCav2.1Synapse03 medical and health sciences030104 developmental biology0302 clinical medicineBiophysicsbiology.protein030217 neurology & neurosurgeryNeuron
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Reconstructing wells from high density regions extracted from super-resolution single particle trajectories

2019

AbstractLarge amount of super-resolution single particle trajectories has revealed that the cellular environment is enriched in heterogenous regions of high density, which remain unexplained. The biophysical properties of these regions are characterized by a drift and their extension (a basin of attraction) that can be estimated from an ensemble of trajectories. We develop here two statistical methods to recover the dynamics and local potential wells (field of force and boundary) using as a model a truncated Ornstein-Ulhenbeck process. The first method uses the empirical distribution of points, which differs inside and outside the potential well, while the second focuses on recovering the d…

Surface (mathematics)PhysicsField (physics)Boundary (topology)High densityParticleLocal field potentialStatistical physicsEmpirical distribution functionEnergy (signal processing)
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SPtsAnalysis: a high-throughput super-resolution single particle trajectory analysis to reconstruct organelle dynamics and membrane re-organization

2021

AbstractSuper-resolution imaging can generate thousands of single-particle trajectories. These data can potentially reconstruct subcellular organization and dynamics, as well as measure disease-linked changes. However, computational methods that can derive quantitative information from such massive datasets are currently lacking. Here we present data analysis and algorithms that are broadly applicable to reveal local binding and trafficking interactions and organization of dynamic sub-cellular sites. We applied this analysis to the endoplasmic reticulum and neuronal membrane. The method is based on spatio-temporal time window segmentation that explores data at multiple levels and detects th…

Free molecular flowComputer scienceDynamics (mechanics)SegmentationBiological systemScale (map)Network topologyThroughput (business)Stability (probability)Measure (mathematics)
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