cortical pyramidal neurons
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2021 ◽  
Author(s):  
Juan Yang ◽  
Liyan Qiu ◽  
Xuanmao Chen

It is well-recognized that primary cilia regulate embryonic neurodevelopment, but little is known about their roles in postnatal neurodevelopment. The striatum pyramidal (SP) of hippocampal CA1 consists of superficial and deep sublayers, however, it is not well understood how early- and late-born pyramidal neurons position to two sublayers postnatally. Here we show that neuronal primary cilia emerge after CA1 pyramidal cells have reached SP, but before final neuronal positioning. The axonemes of primary cilia of early-born neurons point to the stratum oriens (SO), whereas late-born neuronal cilia orient toward the stratum radiatum (SR), reflecting an inside-out lamination pattern. Neuronal primary cilia in SP undergo marked changes in morphology and orientation from postnatal day 5 (P5) to P14, concurrent with pyramidal cell positioning to the deep and superficial sublayers and with neuronal maturation. Transgenic overexpression of Arl13B, a protein regulating ciliogenesis, not only elongates primary cilia and promotes earlier cilia protrusion, but also affects centriole positioning and cilia orientation in SP. The centrioles of late-born neurons migrate excessively to cluster at SP bottom before primary cilia protrusion and a reverse movement back to the main SP. Similarly, this pull-back movement of centriole/cilia is also identified on late-born cortical pyramidal neurons, although early- and late-born cortical neurons display the same cilia orientation. Together, this study provides the first evidence demonstrating that late-born pyramidal neurons exhibit a reverse movement for cell positioning, and primary cilia regulate pyramidal neuronal positioning to the deep and superficial sublayers in the hippocampus.


Cell Reports ◽  
2021 ◽  
Vol 37 (6) ◽  
pp. 109972
Author(s):  
Joshua B. Melander ◽  
Aran Nayebi ◽  
Bart C. Jongbloets ◽  
Dale A. Fortin ◽  
Maozhen Qin ◽  
...  

2021 ◽  
Vol 126 (4) ◽  
pp. 1159-1171
Author(s):  
Katerina D. Oikonomou ◽  
Elissa J. Donzis ◽  
Minh T. N. Bui ◽  
Carlos Cepeda ◽  
Michael S. Levine

We used two-photon microscopy to examine calcium influx induced by action potentials in cortical pyramidal neurons from a mouse model of Huntington’s disease (HD), the R6/2. The amplitude of somatic calcium transients was reduced in R6/2 mice compared with controls. This reduction was compensated by increased decay times, which could lead to reduced calcium buffering capacity. L-type calcium channel and ryanodine receptor blockers reduced calcium transient area in HD neurons, suggesting new therapeutic avenues.


Author(s):  
Zhaoyang Li ◽  
Wenhao Dong ◽  
Xinyuan Zhang ◽  
Jun-Mei Lu ◽  
Yan-Ai Mei ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Javier Jimenez-Martin ◽  
Daniil Potapov ◽  
Kay Potapov ◽  
Thomas Knöpfel ◽  
Ruth M. Empson

AbstractCholinergic modulation of brain activity is fundamental for awareness and conscious sensorimotor behaviours, but deciphering the timing and significance of acetylcholine actions for these behaviours is challenging. The widespread nature of cholinergic projections to the cortex means that new insights require access to specific neuronal populations, and on a time-scale that matches behaviourally relevant cholinergic actions. Here, we use fast, voltage imaging of L2/3 cortical pyramidal neurons exclusively expressing the genetically-encoded voltage indicator Butterfly 1.2, in awake, head-fixed mice, receiving sensory stimulation, whilst manipulating the cholinergic system. Altering muscarinic acetylcholine function re-shaped sensory-evoked fast depolarisation and subsequent slow hyperpolarisation of L2/3 pyramidal neurons. A consequence of this re-shaping was disrupted adaptation of the sensory-evoked responses, suggesting a critical role for acetylcholine during sensory discrimination behaviour. Our findings provide new insights into how the cortex processes sensory information and how loss of acetylcholine, for example in Alzheimer’s Disease, disrupts sensory behaviours.


2021 ◽  
Author(s):  
Ping Dong ◽  
Yang Zhang ◽  
Mohamad A. Mikati ◽  
Jianmin Cui ◽  
Huanghe Yang

A growing number of gain-of-function (GOF) BK channelopathy have been identified in patients with epilepsy and paroxysmal movement disorders. Nevertheless, the underlying pathophysiology and corresponding therapeutics remain obscure. Here we utilized a knock-in mouse model carrying human BK-D434G channelopathy to investigate the neuronal mechanism of BK GOF in the pathogenesis of epilepsy and movement disorders. We found that the BK-D434G mice manifest the clinical features of absence epilepsy and exhibit severe motor deficits. BK-D434G mutation causes hyperexcitability of cortical pyramidal neurons and cerebellar Purkinje cells, which contributes to the pathogenesis of absence seizures and the motor defects, respectively. A BK channel blocker paxilline potently suppresses BK-D434G-induced hyperexcitability and effectively mitigates absence seizures in mice. Our study thus uncovered a neuronal mechanism of BK GOF in absence epilepsy and provided the evidence that BK inhibition is a promising therapeutic strategy to mitigate BK GOF-induced neurological disorders.


2021 ◽  
pp. 1-44
Author(s):  
David Lipshutz ◽  
Yanis Bahroun ◽  
Siavash Golkar ◽  
Anirvan M. Sengupta ◽  
Dmitri B. Chklovskii

Abstract Cortical pyramidal neurons receive inputs from multiple distinct neural populations and integrate these inputs in separate dendritic compartments. We explore the possibility that cortical microcircuits implement canonical correlation analysis (CCA), an unsupervised learning method that projects the inputs onto a common subspace so as to maximize the correlations between the projections. To this end, we seek a multichannel CCA algorithm that can be implemented in a biologically plausible neural network. For biological plausibility, we require that the network operates in the online setting and its synaptic update rules are local. Starting from a novel CCA objective function, we derive an online optimization algorithm whose optimization steps can be implemented in a single-layer neural network with multicompartmental neu rons and local non-Hebbian learning rules. We also derive an extension of our online CCA algorithm with adaptive output rank and output whitening. Interestingly, the extension maps onto a neural network whose neural architecture and synaptic updates resemble neural circuitry and non-Hebbian plasticity observed in the cortex.


2021 ◽  
pp. JN-RM-2989-20
Author(s):  
Arik Shvartsman ◽  
Oron Kotler ◽  
Ohad Stoler ◽  
Yana Khrapunsky ◽  
Israel Melamed ◽  
...  

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