Biology subjects

Goaillard, J.-M.

Publications and source records attributed to Goaillard, J.-M..

9 recordsLinked to original sources

bioRxiv2026

Direct labeling of microtubule turnover reveals in-lattice repair and stabilization patterns in developing neurons

The microtubule cytoskeleton is the backbone of neuronal morphogenesis, driving the development of the dendrites and axon, and supporting trafficking to distant compartments. How neuronal microtubules are maintained and renewed in the face of this dynamic endeavor and long-term commitment remains unclear. Recently, in-lattice repair has emerged as an alternative mechanism of microtubule renewal that could allow for continuity of the existing network and for the emergence of cell polarity. Here, we directly assessed microtubule turnover using microinjection of labeled tubulin in cultured hippocampal neurons that exhibit well defined stages of development and polarization during the first 24 hours in culture. Sizeable tubulin integration was visible minutes after microinjection, indicating fast turnover of microtubules in developing neurons. Once it appeared, a longer neurite that would become the nascent axon showed decreased turnover, both for its acetylated and non-acetylated populations of microtubules. Combining microinjection with expansion microscopy allowed us to visualize tubulin integration sites along single microtubules, unambiguously demonstrating the existence of in-lattice integration along neurites. In thick neurites, we observed preferential integration within non-acetylated cortical microtubules, but in-lattice integration sites were also visible in the deeper core bundles of acetylated microtubules. Overall, our results link previous observations of microtubule stabilization patterns in developing neurons to their actual turnover. Mapping these patterns of turnover strengthens the notion that microtubules establish an organized network that participates in axon emergence and the establishment of neuronal polarity.

cell biology↗

bioRxiv2025

Cocaine extended access gates compulsive-like seeking in rats

When does compulsive-like drug seeking emerge? Despite decades of research, and critical advances in our understanding of brain processes leading to addiction, this question remains widely unanswered. So far, behavioral models assessing compulsive-like cocaine seeking following an extended access to cocaine failed to capture the development of its compulsive seeking. In fact, compulsive-like animals immediately displayed pathological seeking when facing its negative consequences of drug seeking, usually materialized by an unescapable mild electric shock on the paws. Here, we designed a new task, Punished Seeking during Extended access (PSE), by inserting punished seeking trials within the sessions of extended access to cocaine. We show that compulsive-like cocaine seeking progressively emerges after several PSE sessions, once cocaine intake has been escalated. We thus provide the addiction community a pertinent model to explore brain mechanisms sustaining the emergence of compulsive-like cocaine seeking.

neuroscience↗

bioRxiv2024

Higher-Order Interactions in Neuronal Function: From Genes to Ionic Currents in Biophysical Models

Neuronal firing patterns are the consequence of precise variations in neuronal membrane potential, which are themselves shaped by multiple ionic currents. In this study, we use biophysical models, statistical methods, and information theory to explore the interaction between these ionic currents and neuron electrophysiological phenotype. We created numerous electrical models with diverse firing patterns. By analyzing these models, we identified intricate relationships between model parameters and electrical features. Our findings show that neuronal activity is often influenced by multiple biophysical model parameters, in a non-additive (i.e. synergistic) fashion. When comparing this with single-cell RNAseq data, we found a contrasting structure: gene expression profiles were dominated by redundancy, reflecting differences in regulatory constraints and sampling diversity. This research sheds light on the complex links between biophysical parameters and neuronal phenotypes.

neuroscience↗

bioRxiv2024

Postnatal Development Of Dendritic Morphology And Action Potential Shape In Rat Substantia Nigra Dopaminergic Neurons

Substantia nigra pars compacta (SNc) dopaminergic (DA) neurons are characterized by specific morphological and electrophysiological properties. First, in [~]90% of the cases, their axon arises from an axon-bearing dendrite (ABD) at highly variable distances from the soma. Second, they display a highly regular pattern of spontaneous activity (aka pacemaking) and a broad action potential (AP) that faithfully back-propagate through the entire dendritic arbor. In previous studies (Moubarak et al., 2019; Moubarak et al., 2022), we demonstrated that the presence of a high density of sodium current in the ABD and the complexity of this dendrite played a critical role in the robustness of pacemaking and setting the half-width of the AP. In the current study, we investigated the postnatal development of both morphology and AP shape in SNc DA neurons in order to determine when and how the mature electrophysiological phenotype of these neurons was achieved. To do so, we performed electrophysiological recordings of SNc DA neurons at 4 postnatal ages (P3, P7, P14, P21) and fully reconstructed their dendritic and proximal axon morphology. Our results show that several morphological parameters, including the length of the ABD, display abrupt changes between P7 and P14, such that a mature morphology is reached by P14. We then showed that AP shape followed a similar timecourse. Using realistic multicompartment Hodgkin-Huxley modeling, we then demonstrated that the rapid morpho-electrical maturation of SNc DA neurons likely arises from synergistic increases in dendritic length and in somatodendritic sodium channel density. Significance statementSubstantia nigra pars compacta (SNc) dopaminergic (DA) neurons display several morphological and electrophysiological peculiarities. For instance, their axon arises in most cases from an axon-bearing dendrite (ABD) and their action potential (AP) is broad and faithfully back-propagates through the entire dendritic tree. In the present study, we performed electrophysiological recordings, neuronal reconstruction and computational modeling to determine the postnatal development of dendritic morphology and AP shape in SNc DA neurons. We found that ABD length rapidly increases after post-natal day 7 (P7) to reach maturity by P14 and that AP shape follows a similar timecourse. Computational modeling then suggested that the achievement of a mature AP comes from synergistic increases in dendritic length and in somatodendritic sodium channel density.

neuroscience↗

bioRxiv2022

Deep learning based image analysis identifies a DAT-negative subpopulation of dopaminergic neurons in the lateral Substantia nigra.

Here we present a deep learning-based image analysis platform (DLAP), tailored to autonomously quantify cell numbers, and fluorescence signals within cellular compartments, derived from RNAscope or immunohistochemistry. We utilized DLAP to analyse subtypes of tyrosine hydroxylase (TH)-positive dopaminergic midbrain neurons in mouse and human brain sections. These neurons modulate complex behaviour, and are differentially affected in Parkinsons and other diseases. DLAP allows the analysis of large cell numbers, and facilitates the identification of small cellular subpopulations. Specifically, we identified a small subpopulation of TH-positive neurons ([~]5%), mainly located in the very lateral Substantia nigra (SN), that was immunofluorescence-negative for the plasmalemma dopamine transporter (DAT), with [~]40% smaller cell bodies. These neurons were negative for aldehyde dehydrogenase 1A1, with a lower co-expression rate for dopamine-D2-autoreceptors, but a [~]7-fold higher likelihood of calbindin-d28k co-expression ([~]70%). Our results have important implications, as DAT is crucial for dopamine-signalling, and is commonly used as a marker for dopaminergic SN neurons.

neuroscience↗

bioRxiv2021

MORPHOLOGICAL DETERMINANTS OF CELL-TO-CELL VARIATIONS IN ACTION POTENTIAL DYNAMICS IN SUBSTANTIA NIGRA DOPAMINERGIC NEURONS

Action potential (AP) shape is a critical electrophysiological parameter, in particular because it strongly modulates neurotransmitter release. AP shape is also used to distinguish neuronal populations, as it greatly varies between neuronal types. For instance, AP duration ranges from hundreds of microseconds in cerebellar granule cells to 2-3 milliseconds in substantia nigra pars compacta (SNc) dopaminergic (DA) neurons. While most of this variation seems to arise from differences in the subtypes of voltage- and calcium-gated ion channels expressed, a few studies suggested that dendritic morphology may also affect AP shape. However, AP duration also displays significant variability in a same neuronal type, while the determinants of these variations are poorly known. Using electrophysiological recordings, morphological reconstructions and realistic Hodgkin-Huxley modeling, we investigated the relationships between dendritic morphology and AP shape in SNc DA neurons. In this neuronal type where the axon arises from an axon-bearing dendrite (ABD), the duration of the somatic AP could be predicted from a linear combination of the complexities of the ABD and the non-ABDs. Dendrotomy simulation and experiments showed that these correlations arise from the causal influence of dendritic topology on AP duration, due in particular to a high density of sodium channels in the somato-dendritic compartment. In addition, dendritic morphology also modulated AP back-propagation efficiency in response to barrages of EPSCs in the ABD. In line with previous findings, these results demonstrate that dendritic morphology plays a major role in defining the electrophysiological properties of SNc DA neurons and their cell-to-cell variations. SIGNIFICANCE STATEMENTAction potential (AP) shape is a critical electrophysiological parameter, in particular because it strongly modulates neurotransmitter release. AP shape (e.g. duration) greatly varies between neuronal types but also within a same neuronal type. While differences in ion channel expression seem to explain most of AP shape variation across cell types, the determinants of cell-to-cell variations in a same neuronal type are mostly unknown. We used electrophysiological recordings, neuronal reconstruction and modeling to show that, due to the presence of sodium channels in the somato-dendritic compartment, a large part of cell-to-cell variations in somatic AP duration in substantia nigra pars compacta dopaminergic neurons is explained by variations in dendritic topology.

neuroscience↗

bioRxiv2021

REFINING THE IDENTITY AND ROLE OF KV4 CHANNELS IN MOUSE SUBSTANTIA NIGRA DOPAMINERGIC NEURONS

Substantia nigra pars compacta (SNc) dopaminergic (DA) neurons display a peculiar electrical phenotype characterized in vitro by a spontaneous tonic regular activity (pacemaking activity), a broad action potential and a biphasic post-inhibitory response. Several studies in rodents have underlined the central role played by the transient A-type current (IA) in the control of pacemaking activity and post-inhibitory rebound properties, thereby influencing both DA release and the physiological response of SNc neurons to incoming inhibitory inputs. Kv4.3 potassium channels were considered to be fully responsible for IA in these neurons, their density being tightly related to pacemaking frequency. In spite of this crucial electrophysiological role, we show that Kv4.3-/- transgenic mice exhibit minor alterations in locomotion and motor learning, although no compensation by functionally overlapping ion channels is observed in Kv4.3-/- SNc DA neurons. Using antigen retrieval immunohistochemistry, we further demonstrate that Kv4.2 potassium channels are also expressed in SNc DA neurons, even though their contribution to IA appears significant only in a minority of neurons (~5-10%). Using correlative analysis on recorded electrophysiological parameters and multi-compartment modeling, we then demonstrate that, rather than its conductance level, IA gating kinetics (inactivation time constant) appear as the main biophysical property defining post-inhibitory rebound delay and pacemaking frequency. Moreover, we show that the hyperpolarization-activated current (IH) has an opposing and complementary influence on the same firing features, and that the biophysical properties of IA and IH are likely coregulated in mouse SNc DA neurons. SIGNIFICANCE STATEMENTSubstantia nigra pars compacta (SNc) dopaminergic (DA) neurons are characterized by pacemaking activity, a broad action potential and biphasic post-inhibitory response. The A-type transient potassium current (IA) plays a central role in both pacemaking activity and post-inhibitory response. While it was thought so far that Kv4.3 ion channels were fully responsible for IA, using a Kv4.3-/- transgenic mouse and antigen retrieval immunohistochemistry we demonstrate that Kv4.2 channels are also expressed in SNc DA neurons, although their contribution is significant in a minority of neurons only. Using electrophysiological recordings and computational modeling, we then demonstrate that IA gating kinetics and its functional complementarity with the hyperpolarization-activated current are major determinants of both pacemaking activity and post-inhibitory response in SNc DA neurons.

neuroscience↗

bioRxiv2019

Differential robustness to specific potassium channel deletions in midbrain dopaminergic neurons

The authors have withdrawn this preprint titled "Differential robustness to specific potassium channel deletions in midbrain dopaminergic neurons". Upon review of breeding and genotyping data, Kcnn3-/- mice could not be trusted as representative of the expected genetic deletion. As a consequence data generated from these animals do not constitute a valid description of the Kcnn3-/- genotype in dopaminergic neurons. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

neuroscience↗

bioRxiv2017

Information topology of gene expression profile in dopaminergic neurons

SUMMARY PARAGRAPHExtracting high-degree interactions and dependences between variables (pairs, triplets, ... k-tuples) is a challenge posed by all omics approaches1, 2. Here we used multivariate mutual information (Ik) analysis3 on single-cell retro-transcription quantitative PCR (sc-RTqPCR) data obtained from midbrain neurons to estimate the k-dimensional topology of their gene expression profiles. 41 mRNAs were quantified and statistical dependences in gene expression levels could be fully described for 21 genes: Ik analysis revealed a complex combinatorial structure including modules of pairs, triplets (up to 6-tuples) sharing strong positive, negative or zero Ik, corresponding to co-varying, clustering and independent sets of genes, respectively. Therefore, Ik analysis simultaneously identified heterogeneity (negative Ik) of the cell population under study and regulatory principles conserved across the population (homogeneity, positive Ik). Moreover, maximum information paths enabled to determine the size and stability of such transcriptional modules. Ik analysis represents a new topological and statistical method of data analysis.

systems biology↗