scholarly journals Identification and characterization of nCLP2, a novel C1q family protein expressed in the central nervous system

2009 ◽  
Vol 147 (4) ◽  
pp. 565-579 ◽  
Author(s):  
C. Shimono ◽  
R. i. Manabe ◽  
T. Yamada ◽  
S. Fukuda ◽  
J. Kawai ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Family Protein ◽  
The Central Nervous System ◽  
Identification And Characterization

Identification and characterization of ε-sarcoglycans in the central nervous system

2004 ◽  
Vol 125 (1-2) ◽  
pp. 1-12 ◽  
Author(s):  
Akiyo Nishiyama ◽  
Takeshi Endo ◽  
Shin'ichi Takeda ◽  
Michihiro Imamura
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
The Central Nervous System ◽  
Identification And Characterization

scholarly journals Molecular cloning and analysis of l(1)ogre, a locus of Drosophila melanogaster with prominent effects on the postembryonic development of the central nervous system.

Genetics ◽  
1990 ◽  
Vol 126 (4) ◽  
pp. 1033-1044 ◽  
Author(s):  
T Watanabe ◽  
D R Kankel
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Postembryonic Development ◽  
P Element ◽  
Reading Frame ◽  
Isolation And Characterization ◽  
The Central Nervous System ◽  
Highly Hydrophobic ◽  
Conceptual Translation

Abstract Previous genetic studies have shown that wild-type function of the l(1)ogre (lethal (1) optic ganglion reduced) locus is essential for the generation and/or maintenance of the postembryonic neuroblasts including those from which the optic lobe is descended. In the present study molecular isolation and characterization of the l(1)ogre locus was carried out to study the structure and expression of this gene in order to gain information about the nature of l(1)ogre function and its relevance to the development of the central nervous system. About 70 kilobases (kb) of genomic DNA were isolated that spanned the region where l(1)ogre was known to reside. Southern analysis of a l(1)ogre mutation and subsequent P element-mediated DNA transformation mapped the l(1)ogre+ function within a genomic fragment of 12.5 kb. Northern analyses showed that a 2.9-kb message transcribed from this 12.5-kb region represented l(1)ogre. A 2.15-kb portion of a corresponding cDNA clone was sequenced. An open reading frame (ORF) of 1,086 base paris was found, and a protein sequence of 362 amino acids with one highly hydrophobic segment was deduced from conceptual translation of this ORF.

scholarly journals Detection and Characterization of Autoantibodies to Neuronal Cell-Surface Antigens in the Central Nervous System

2016 ◽  
Vol 9 ◽  
Author(s):  
Marleen H. van Coevorden-Hameete ◽  
Maarten J. Titulaer ◽  
Marco W. J. Schreurs ◽  
Esther de Graaff ◽  
Peter A. E. Sillevis Smitt ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Cell Surface ◽  
Neuronal Cell ◽  
Surface Antigens ◽  
Cell Surface Antigens ◽  
The Central Nervous System

Characterization of placental luteinizing hormone-relasing factor-like material

1981 ◽  
Vol 96 (3) ◽  
pp. 394-397 ◽  
Author(s):  
Jau-Nan Lee ◽  
Markku Seppälä ◽  
Tim Chard
Keyword(s):  
Central Nervous System ◽  
High Pressure ◽  
Nervous System ◽  
Acetic Acid ◽  
Liquid Chromatography ◽  
Luteinizing Hormone ◽  
Human Placenta ◽  
The Central Nervous System ◽  
Inhibition Curve

Abstract. High pressure liquid chromatography (HPLC) and radioimmunoassay were employed to characterize luteinizing hormone-releasing factor (LRF)-like material in the human placenta. Methanol extracts of the placenta were washed with acetic acid and chloroform, further purified on coarse octadecylsilane columns, fractionated on HPLC, and tested by radioimmunoassay. In HPLC, placental LRF had the same retention time as synthetic LRF, and such fractions gave an inhibition curve which was parallel to that of synthetic LRF in radioimmunoassav. It is concluded that human placental I.RF is similar or identical to LRF in the central nervous system.

scholarly journals Fractal fluctuations in the cardiovascular dynamical system : from the autonomic control to the central nervous system influence

2021 ◽  
Author(s):  
Asif Hasan Sharif
Keyword(s):  
Central Nervous System ◽  
Heart Rate ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Dynamic Feature ◽  
Scale Free ◽  
Autonomic Nervous ◽  
Factorization Technique ◽  
The Central Nervous System

The fractal component in the complex fluctuations of the human heart rate represents a dynamic feature that is widely observed in diverse fields of natural and artificial systems. It is also of clinical significance as the diminishing of the fractal dynamics appears to correlate with heart disease processes and adverse cardiac events in old age. While the autonomic nervous system directly controls the pacemaker cells of the heart, it does not provide an immediate characterization of the complex heart rate variability (HRV). The central nervous system (CNS) is known to be an important modulator for various cardiac functions. However, its role in the fractal HRV is largely unclear. In this research, human experiments were conducted to study the influence of the central nervous system on fractal dynamics of healthy human HRV. The head up tilt (HUT) maneuver is used to provide a perturbation to the autonomic nervous system. The subsequent fractal effect in the simultaneously recorded electroencephalography and beat-to-beat heart rate data was examined. Using the recently developed multifractal factorization technique, the common multifractality in the data fluctuation was analyzed. An empirical relationship was uncovered which shows the increase (decrease) in HRV multifractality is associated with the increase (decrease) in multifractal correlation between scale-free HRV and the cortical expression of the brain dynamics in 8 out of 11 healthy subjects. This observation is further supported using surrogate analysis. The present findings imply that there is an integrated central-autonomic component underlying the cortical expression of the HRV fractal dynamics. It is proposed that the central element should be incorporated in the fractal HRV analysis to gain a more comprehensive and better characterization of the scale-free HRV dynamics. This study provides the first contribution to the HRV multifractal dynamics analysis in HUT. The multivariate fractal analysis using factorization technique is also new and can be applied in the more general context in complex dynamics research.

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