scholarly journals Cellular compartment analysis of temporal activity by fluorescent in situ hybridization (catFISH) in the transcardially perfused rat brain

2019 ◽  
Author(s):  
Ali Gheidi ◽  
Vivek Kumar ◽  
Christopher J Fitzpatrick ◽  
Rachel L Atkinson ◽  
Jonathan D Morrow
Keyword(s):  
Mammalian Brain ◽  
Compartment Analysis ◽  
Spatiotemporal Resolution ◽  
Adult Rats ◽  
Cellular Compartment ◽  
Study Gene Expression ◽  
Resolution Mapping ◽  
External Stimuli ◽  
The Brain

AbstractCellular compartment analysis of temporal activity by fluorescent in situ hybridization (catFISH) allows high spatiotemporal resolution mapping of immediate early genes in the brain in response to internal/external stimuli. One caveat of this technique and indeed other methods of in situ hybridization is the necessity of flash-freezing the brain prior to staining. Often however, the mammalian brain is transcardially perfused to use the brain tissue for immunohistochemistry, the most widely-used technique to study gene expression. The present study illustrates how the original catFISH protocol can be modified for use in adult rats that have been transcardially perfused with 4% paraformaldehyde. c-Fos activity induced by either an auditory tone or status epilepticus was visualized using the catFISH procedure. Analysis of the rat prefrontal cortex, hippocampus and amygdala shows that a clear distinction can be made between the compartmental distribution of c-Fos mRNA in the nuclei and cytoplasmic regions. Furthermore, the qualitative proportion of c-Fos compartmentalization is similar to previous reports of c-Fos expression pattern in rodents navigating novel environments. c-Fos catFISH on perfused rodent brains is an valuable addition to the traditional histological methods using fluorescently labeled riboprobes, and opens several avenues for future investigations.

scholarly journals Classical Soliton Theory for Studying the Dynamics and Evolution of in Network

2021 ◽  
Vol 8 (4) ◽  
pp. 01-06
Author(s):  
Sergey Belyakin
Keyword(s):  
Neural Networks ◽  
Data Processing ◽  
Dynamic Model ◽  
Mammalian Brain ◽  
Complex Task ◽  
Process Data ◽  
Brain Neurons ◽  
Soliton Theory ◽  
External Stimuli ◽  
The Brain

This paper presents the dynamic model ofthe soliton. Based on this model, it is supposed to study the state of the network. The term neural networks refersto the networks of neurons in the mammalian brain. Neurons are its main units of computation. In the brain, they are connected together in a network to process data. This can be a very complex task, and so the dynamics of neural networks in the mammalian brain in response to external stimuli can be quite complex. The inputs and outputs of each neuron change as a function of time, in the form of so-called spike chains, but the network itself also changes. We learn and improve our data processing capabilities by establishing reconnections between neurons.

scholarly journals Identification of a ubiquitous family of membrane proteins and their expression in mouse brain

2000 ◽  
Vol 203 (3) ◽  
pp. 447-457
Author(s):  
T.R. Grossman ◽  
J.M. Luque ◽  
N. Nelson
Keyword(s):  
Membrane Proteins ◽  
Amino Acid Sequences ◽  
Mammalian Brain ◽  
Cdna Clones ◽  
Unique Structure ◽  
Genes Encoding ◽  
The Central Nervous System ◽  
The Brain ◽  
Novel Protein

A family of genes encoding membrane proteins with a unique structure has been identified in DNA and cDNA clones of various eukaryotes ranging from yeast to human. The nucleotide sequences of three novel cDNAs from Drosophila melanogaster and mouse were determined. The amino acid sequences of the two mouse proteins have human homologs. The gene (TMS1) encoding the yeast member of this family was disrupted, and the resulting mutant showed no significant phenotype under several stress conditions. The expression of the mouse genes TMS-1 and TMS-2 was examined by in situ hybridization of sections from brain, liver, kidney, heart and testis of an adult mouse as well as in a 1-day-old whole mouse. While the expression of TMS-2 was found to be restricted to the central nervous system, TMS-1 was also expressed in kidney and testis. The expression of TMS-1 and TMS-2 in the brain overlapped and was localized to areas associated with glutamatergic excitatory neurons, such as the hippocampus and cerebral cortex. High-magnification analysis indicated that both mRNAs are expressed in neurons. Semiquantitative analysis of mRNA expression was performed in various parts of the brain. The conservation, unique structure and localization in the mammalian brain of this novel protein family suggest an important biological role.

Substituted N,N-Dimethyl-3-(phenylthio)- and -4-(phenylthio)benzylamines

1992 ◽  
Vol 57 (1) ◽  
pp. 194-203 ◽  
Author(s):  
Karel Šindelář ◽  
Vojtěch Kmoníček ◽  
Marta Hrubantová ◽  
Zdeněk Polívka
Keyword(s):  
Serotonin Receptors ◽  
Hydrobromic Acid ◽  
Antidepressant Activity ◽  
Benzoic Acids ◽  
Lithium Aluminium Hydride ◽  
Acid Chlorides ◽  
Activity Inhibition ◽  
Lithium Aluminium ◽  
The Brain

(Arylthio)benzoic acids IIa - IIe and VIb - VId were transformed via the acid chlorides to the N,N-dimethylamides which were reduced either with diborane "in situ" or with lithium aluminium hydride to N,N-dimethyl-(arylthio)benzylamines Ia - Ie and Vb - Vd. Leuckart reaction of the aldehydes IX and X with dimethylformamide and formic acid afforded directly the amines Va and Ve. Demethylation of the methoxy compounds Ia and Ve with hydrobromic acid resulted in the phenolic amines If and Vf. The most interesting N,N-dimethyl-4-(phenylthio)benzylamine (Va) hydrochloride showed affinity to cholinergic and 5-HT2 serotonin receptors in the rat brain and some properties considered indicative of antidepressant activity (inhibition of serotonin re-uptake in the brain and potentiation of yohimbine toxicity in mice).

scholarly journals An architectonic type principle in the development of laminar patterns of cortico-cortical connections

2021 ◽  
Author(s):  
Sarah F. Beul ◽  
Alexandros Goulas ◽  
Claus C. Hilgetag
Keyword(s):  
Structural Connectivity ◽  
Macaque Monkey ◽  
Brain Regions ◽  
Adult Brain ◽  
Mammalian Brain ◽  
Cortical Connections ◽  
Cortical Projections ◽  
Structural Connections ◽  
High Degree ◽  
The Brain

AbstractStructural connections between cortical areas form an intricate network with a high degree of specificity. Many aspects of this complex network organization in the adult mammalian cortex are captured by an architectonic type principle, which relates structural connections to the architectonic differentiation of brain regions. In particular, the laminar patterns of projection origins are a prominent feature of structural connections that varies in a graded manner with the relative architectonic differentiation of connected areas in the adult brain. Here we show that the architectonic type principle is already apparent for the laminar origins of cortico-cortical projections in the immature cortex of the macaque monkey. We find that prenatal and neonatal laminar patterns correlate with cortical architectonic differentiation, and that the relation of laminar patterns to architectonic differences between connected areas is not substantially altered by the complete loss of visual input. Moreover, we find that the degree of change in laminar patterns that projections undergo during development varies in proportion to the relative architectonic differentiation of the connected areas. Hence, it appears that initial biases in laminar projection patterns become progressively strengthened by later developmental processes. These findings suggest that early neurogenetic processes during the formation of the brain are sufficient to establish the characteristic laminar projection patterns. This conclusion is in line with previously suggested mechanistic explanations underlying the emergence of the architectonic type principle and provides further constraints for exploring the fundamental factors that shape structural connectivity in the mammalian brain.

scholarly journals Mapping High Spatiotemporal-Resolution Soil Moisture by Upscaling Sparse Ground-Based Observations Using a Bayesian Linear Regression Method for Comparison with Microwave Remotely Sensed Soil Moisture Products

2021 ◽  
Vol 13 (2) ◽  
pp. 228
Author(s):  
Jian Kang ◽  
Rui Jin ◽  
Xin Li ◽  
Yang Zhang
Keyword(s):  
Soil Moisture ◽  
Large Scale ◽  
Spatial Scales ◽  
Microwave Remote Sensing ◽  
In Situ Measurements ◽  
Spatial Density ◽  
Linear Regression Method ◽  
Spatiotemporal Resolution ◽  
Pixel Scale

In recent decades, microwave remote sensing (RS) has been used to measure soil moisture (SM). Long-term and large-scale RS SM datasets derived from various microwave sensors have been used in environmental fields. Understanding the accuracies of RS SM products is essential for their proper applications. However, due to the mismatched spatial scale between the ground-based and RS observations, the truth at the pixel scale may not be accurately represented by ground-based observations, especially when the spatial density of in situ measurements is low. Because ground-based observations are often sparsely distributed, temporal upscaling was adopted to transform a few in situ measurements into SM values at a pixel scale of 1 km by introducing the temperature vegetation dryness index (TVDI) related to SM. The upscaled SM showed high consistency with in situ SM observations and could accurately capture rainfall events. The upscaled SM was considered as the reference data to evaluate RS SM products at different spatial scales. In regard to the validation results, in addition to the correlation coefficient (R) of the Soil Moisture Active Passive (SMAP) SM being slightly lower than that of the Climate Change Initiative (CCI) SM, SMAP had the best performance in terms of the root-mean-square error (RMSE), unbiased RMSE and bias, followed by the CCI. The Soil Moisture and Ocean Salinity (SMOS) products were in worse agreement with the upscaled SM and were inferior to the R value of the X-band SM of the Advanced Microwave Scanning Radiometer 2 (AMSR2). In conclusion, in the study area, the SMAP and CCI SM are more reliable, although both products were underestimated by 0.060 cm3 cm−3 and 0.077 cm3 cm−3, respectively. If the biases are corrected, then the improved SMAP with an RMSE of 0.043 cm3 cm−3 and the CCI with an RMSE of 0.039 cm3 cm−3 will hopefully reach the application requirement for an accuracy with an RMSE less than 0.040 cm3 cm−3.

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