scholarly journals Efficient mesoscale phenotypic screening in cultured primary neuron culture

2019 ◽  
Author(s):  
David Nedrud ◽  
Yungui He ◽  
Daniel Schmidt
Keyword(s):  
Data Storage ◽  
Hippocampal Neurons ◽  
Neuron Culture ◽  
Real Time Analysis ◽  
Storage Overhead ◽  
Phenotypic Screen ◽  
All Optical ◽  
Reduction Methods ◽  
Primary Neuron Culture ◽  
Dynamic Perturbation

AbstractA longstanding question in neuroscience is how the activity of ion channels shapes neuronal activity and, as a result, computation in circuits and networks. Optogenetic reagents are tools to answer this question by enabling precise and dynamic perturbation of cellular states. However, development of these reagents can be hampered by low-throughput assays in non-physiological contexts. Here, we develop an all optical phenotypic screen in cultured primary hippocampal neurons that enables the functional assessment of large libraries of genetically encoded optogenetic actuators. Combining real-time analysis and data reduction methods allows for continuous observation of several thousand neurons for several days without onerous data storage overhead. This screening system may be useful in a diversity of research questions that can be coupled to optical perturbation and sensing.

Effects of hypoxic preconditioning on the expression of iron influx and efflux proteins in primary neuron culture

2012 ◽  
Vol 60 (4) ◽  
pp. 335-343 ◽  
Author(s):  
Fang Du ◽  
Ming Fan ◽  
Qi Gong ◽  
Ling Ling Zhu ◽  
Zhou-Jing Zhu ◽  
...  
Keyword(s):  
Hypoxic Preconditioning ◽  
Primary Neuron ◽  
Neuron Culture ◽  
Primary Neuron Culture ◽  
Efflux Proteins

scholarly journals Primary Neuron Culture for Nerve Growth and Axon Guidance Studies in Zebrafish (Danio rerio)

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e57539 ◽  
Author(s):  
Zheyan Chen ◽  
Han Lee ◽  
Steven J. Henle ◽  
Thomas R. Cheever ◽  
Stephen C. Ekker ◽  
...  
Keyword(s):  
Axon Guidance ◽  
Danio Rerio ◽  
Primary Neuron ◽  
Neuron Culture ◽  
Nerve Growth ◽  
Primary Neuron Culture

Neurosphere Development from Hippocampal and Cortical Embryonic Mixed Primary Neuron Culture: A Potential Platform for Screening Neurochemical Modulator

2018 ◽  
Vol 9 (11) ◽  
pp. 2870-2878 ◽  
Author(s):  
Juhee Khan ◽  
Gaurav Das ◽  
Varsha Gupta ◽  
Saswat Mohapatra ◽  
Subhajit Ghosh ◽  
...  
Keyword(s):  
Primary Neuron ◽  
Neuron Culture ◽  
Primary Neuron Culture

scholarly journals Decision Support based Resource Allocation for Cost Reduction in Cloud Storage using Big Data Analytics

2019 ◽  
Vol 8 (3) ◽  
pp. 8124-8126
Keyword(s):  
Big Data ◽  
Decision Support ◽  
Data Storage ◽  
Input Data ◽  
Similarity Coefficient ◽  
Storage Efficiency ◽  
Decision Support Model ◽  
Storage Overhead ◽  
Tanimoto Similarity ◽  
And Storage

Provision of highly efficient storage for dynamically growing data is considered problem to be solved in data mining. Few research works have been designed for big data storage analytics. However, the storage efficiency using conventional techniques was not sufficient as where data duplication and storage overhead problem was not addressed. In order to overcome such limitations, Tanimoto Regressive Decision Support Based Blake2 Hashing Space Efficient Quotient Data Structure (TRDS-BHSEQDS) Model is proposed. Initially, TRDS-BHSEQDS technique gets larger number of input data as input. Then, TRDS-BHSEQDS technique computes 512 bits Blake2 hash value for each data to be stored. Consequently, TRDS-BHSEQDS technique applies Tanimoto Regressive Decision Support Model (TRDSM) where it carried outs regression analysis with application of Tanimoto similarity coefficient. During this process, proposed TRDS-BHSEQDS technique finds relationship between hash values of data by determining Tanimoto similarity coefficient value. If similarity value is ‘+1’, then TRDS-BHSEQDS technique considered that input data is already stored in BHSEQF memory. TRDSBHSEQDS technique enhances the storage efficiency of big data when compared to state-of-the-art works. The performance of TRDS-BHSEQDS technique is measured in terms of storage efficiency, time complexity and space complexity and storage overhead with respect to different numbers of input big data.

Alleviation of Hippocampal Endoplasmic Reticulum Stress by Allomyrina dichotoma Larvae Extract

2018 ◽  
Vol 46 (03) ◽  
pp. 633-650 ◽  
Author(s):  
Jongwan Kim ◽  
Md. Nazmul Haque ◽  
Tae-Won Goo ◽  
Il Soo Moon
Keyword(s):  
Endoplasmic Reticulum ◽  
Er Stress ◽  
Hippocampal Neurons ◽  
Ethanol Extract ◽  
Structure And Function ◽  
Synaptic Proteins ◽  
Obese Mice ◽  
Neuron Culture ◽  
Hippocampal Cultures ◽  
And Function

In the brain, endoplasmic reticulum (ER) stress results in synaptic dysfunction and eventually leads to neurodegeneration. Allomyrina dichotoma larvae are a Chinese ethnomedicine and are widely used in East Asia. In the present study, we investigated the ability of ethanol extract of A. dichotoma larvae (ADE) to improve synaptic structure and function by activating unfolded protein response (UPR) under ER stress in animal and neuron culture models. ER stress was induced in obese mice fed a high fat diet (HFD) or by treating dissociated cultures of rat embryonic (E19) hippocampal neurons with tunicamycin (TM). Western blot and real-time or conventional RT-PCR were performed to analyze the expressions of ER stress marker proteins. In dissociated hippocampal cultures, immunocytochemistry was performed for synaptic proteins, and cultures were stained with styryl dye FM1-43 to assess presynaptic activities. In HFD-fed obese mice, ADE efficiently reduced the expressions of ER stress markers, such as, xbp-1, chop, atf4, erdi4, and eIf2a, and those of the ER chaperone/foldases Bip/grp78, Ero-1l, and PDI. Unconventionally spliced xbp-1s mRNA was not detected. In primary rat hippocampal cultures under ER stress, ADE significantly lowered the nuclear expression of CHOP, inhibited the downregulations of postsynaptic proteins, such as, GluN2A, GluN2B, and PSD-95, and maintained the pool size of recycling presynaptic vesicles. The study shows that ADE potently suppressed the induction of ER stress and maintained the structure and function of hippocampal neurons, and suggests that ADE is a potentially valuable food supplement and preventive therapeutic for ER stress-related nervous disorders.

scholarly journals VCIN Vehicular Interconnected Informatics Network “A interconnected network of vehicular information, Data, and Interface”

2018 ◽  
Vol 7 (3.12) ◽  
pp. 919
Author(s):  
Vishaka Tiwari ◽  
Kumar Saurav ◽  
M Safa
Keyword(s):  
Data Storage ◽  
Smart City ◽  
Distributed Data ◽  
Interconnected Network ◽  
City Development ◽  
Distributed Data Storage ◽  
Data Mining Algorithms ◽  
Real Time Analysis ◽  
Iot Devices ◽  
Storage Technologies

With market moving towards smart city development, the importance of data and its analysis has increased. According to a report by HIS Market, data generated from IOT devices will increase to 125 billion in 2030. Such huge amount of data is going to bring opportunities for all level of industries and markets. Thus, intelligent collection of data along with storage, processing and analysis will be a key to develop smart city. The information generated through data can target both users and market. It will be a result of various machine learning, data mining algorithms and distributed data storage technologies. The users can access information through web/mobile applications. The real time analysis of data and delivering it to user with no time will reduce accidents. This will increase productivity in hardware and software markets .VCIN the system of interconnected network of vehicles and infrastructure model in which, it focuses on four core modules. The interconnecting modules makes the network of data coming in and out of the system and finally getting displayed on one of our dashboard.  

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