Characterization of neocortical non-pyramidal neurons expressing preprotachykinins A and B: a double immunofluorescence study in the rat

Neuroscience ◽  
1998 ◽  
Vol 86 (3) ◽  
pp. 765-781 ◽  
Author(s):  
T Kaneko ◽  
M Murashima ◽  
T Lee ◽  
N Mizuno
Keyword(s):  
Pyramidal Neurons ◽  
Immunofluorescence Study ◽  
Double Immunofluorescence

scholarly journals The Influence of Bisphenol A (BPA) on Neuregulin 1-Like Immunoreactive Nerve Fibers in the Wall of Porcine Uterus

2018 ◽  
Vol 19 (10) ◽  
pp. 2962 ◽  
Author(s):  
Liliana Rytel
Keyword(s):  
Bisphenol A ◽  
Nerve Fibers ◽  
Double Immunofluorescence ◽  
Negative Effects ◽  
Protective Mechanisms ◽  
Neuregulin 1 ◽  
Small Doses ◽  
The Impact ◽  
First Time

Bisphenol A (BPA), a substance commonly used in the manufacture of plastics, shows multidirectional negative effects on humans and animals. Due to similarities to estrogens, BPA initially leads to disorders in the reproductive system. On the other hand, it is known that neuregulin 1 (NRG-1) is an active substance which enhances the survivability of cells, inhibits apoptosis, and protects tissues against damaging factors. Because the influence of BPA on the nervous system has also been described, the aim of the present study was to investigate for the first time the influence of various doses of BPA on neuregulin 1-like immunoreactive (NRG-1-LI) nerves located in the porcine uterus using the routine single- and double-immunofluorescence technique. The obtained results have shown that BPA increases the number and affects the neurochemical characterization of NRG-1-LI in the uterus, and changes are visible even under the impact of small doses of this toxin. The character of observed changes depended on the dose of BPA and the part of the uterus studied. These observations suggest that NRG-1 in nerves supplying the uterus may play roles in adaptive and protective mechanisms under the impact of BPA.

scholarly journals Cellular, molecular, and therapeutic characterization of pilocarpine-induced temporal lobe epilepsy.

2021 ◽  
Author(s):  
Rammohan Shukla ◽  
Nicholas D Henkel ◽  
Marissa A Smail ◽  
Xiaojun Wu ◽  
Heather A Enright ◽  
...  
Keyword(s):  
Machine Learning ◽  
Bayesian Inference ◽  
Pyramidal Neurons ◽  
Predictive Biomarkers ◽  
Cell Types ◽  
Cellular Level ◽  
Hippocampal Subfields ◽  
Synaptic Changes ◽  
Discovery Method

We probed a transcriptomic dataset of pilocarpine-induced TLE using various ontological, machine-learning, and systems-biology approaches. We showed that, underneath the complex and penetrant changes, moderate-to-subtle upregulated homeostatic and downregulated synaptic changes associated with the dentate gyrus and hippocampal subfields could not only predict TLE but various other forms of epilepsy. At the cellular level, pyramidal neurons and interneurons showed disparate changes, whereas the proportion of non-neuronal cells increased steadily. A probabilistic Bayesian network demonstrated an aberrant and oscillating physiological interaction between oligodendrocytes and interneurons in driving seizures. Validating the Bayesian inference, we showed that the cell types driving the seizures were associated with known antiepileptic and epileptic drugs. These findings provide predictive biomarkers of epilepsy, insights into the cellular connections and causal changes associated with TLE, and a drug discovery method focusing on these events.

Characterization of the CA1 pyramidal neurons in rat model of hepatic cirrhosis: insights into their electrophysiological properties

2017 ◽  
Vol 32 (3) ◽  
pp. 881-889 ◽  
Author(s):  
Mahshid Tahamtan ◽  
Iraj Aghaei ◽  
Vahid Pooladvand ◽  
Vahid Sheibani ◽  
Mohammad Khaksari ◽  
...  
Keyword(s):  
Rat Model ◽  
Hepatic Cirrhosis ◽  
Pyramidal Neurons ◽  
Electrophysiological Properties ◽  
Ca1 Pyramidal Neurons

scholarly journals Single Cortical Neurons as Deep Artificial Neural Networks

2019 ◽  
Author(s):  
David Beniaguev ◽  
Idan Segev ◽  
Michael London
Keyword(s):  
Neural Networks ◽  
Cortical Neurons ◽  
Deep Neural Networks ◽  
Pyramidal Neurons ◽  
Classical Architecture ◽  
Novel Approach ◽  
Cortical Pyramidal Neurons ◽  
Spatio Temporal ◽  
Cortical Pyramidal Cell

AbstractWe introduce a novel approach to study neurons as sophisticated I/O information processing units by utilizing recent advances in the field of machine learning. We trained deep neural networks (DNNs) to mimic the I/O behavior of a detailed nonlinear model of a layer 5 cortical pyramidal cell, receiving rich spatio-temporal patterns of input synapse activations. A Temporally Convolutional DNN (TCN) with seven layers was required to accurately, and very efficiently, capture the I/O of this neuron at the millisecond resolution. This complexity primarily arises from local NMDA-based nonlinear dendritic conductances. The weight matrices of the DNN provide new insights into the I/O function of cortical pyramidal neurons, and the approach presented can provide a systematic characterization of the functional complexity of different neuron types. Our results demonstrate that cortical neurons can be conceptualized as multi-layered “deep” processing units, implying that the cortical networks they form have a non-classical architecture and are potentially more computationally powerful than previously assumed.

Characterization of pharmacologically identified voltage-gated calcium channel currents in acutely isolated rat neocortical neurons. II. Postnatal development

1995 ◽  
Vol 73 (4) ◽  
pp. 1443-1451 ◽  
Author(s):  
N. M. Lorenzon ◽  
R. C. Foehring
Keyword(s):  
Calcium Channel ◽  
Pyramidal Neurons ◽  
Companion Paper ◽  
Whole Cell ◽  
Time To Peak ◽  
Neocortical Neurons ◽  
P Type ◽  
Channel Currents ◽  
Whole Cell Recordings

1. Whole cell recordings were obtained from pyramidal neurons acutely dissociated from the sensorimotor cortex of adult (from Lorenzon and Foehring, companion paper) and immature rats postnatal day 1 (P1) to adult. 2. Whole cell calcium channel currents were similar in appearance at all ages. Current amplitudes and estimated densities were initially low (approximately 16 pA/pF at ages < P6) and increased gradually, attaining adult values at approximately 4-5 wk postnatally (approximately 100 pA/pF). 3. L-type current was operationally defined as that blocked by 5 microM nifedipine, N-type current as that blocked by 1 microM omega-conotoxin GVIA, and P-type current as that blocked by 100 nM omega-agatoxin IVA. A resistant current remained in the presence of the combination of these three blockers. The proportions of these four current types did not change during ontogeny. 4. Few biophysical differences were found between the pharmacologically defined current components in adult or 1-wk-old cells. At both ages the resistant current had a more rapid time-to-peak and inactivated more completely and rapidly than the other three types. Resistant currents also activated at more negative potentials. N-, L-, and P-type currents activated at more positive potentials in 1-wk-old cells than in adult cells. For the resistant current, the voltage dependence of activation was not significantly different between the two ages.

Sign in / Sign up

Export Citation Format

Share Document