neonatal rat brain
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2020 ◽  
Vol 8 ◽  
Author(s):  
Sweatha Kasala ◽  
Seema Briyal ◽  
Preetha Prazad ◽  
Amaresh K. Ranjan ◽  
Gospodin Stefanov ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0233387
Author(s):  
Martín Bustelo ◽  
Martín A. Bruno ◽  
César F. Loidl ◽  
Manuel Rey-Funes ◽  
Harry W. M. Steinbusch ◽  
...  

2019 ◽  
Author(s):  
M. Bustelo ◽  
M.A. Bruno ◽  
C.F. Loidl ◽  
H.W.M. Steinbusch ◽  
A.W.D. Gavilanes ◽  
...  

AbstractReal-time reverse transcription PCR (qPCR) normalized to an internal reference gene (RG), is a frequently used method for quantifying gene expression changes in neuroscience. Although RG expression is assumed to be constantly independent of physiological or experimental conditions, several studies have shown that commonly used RGs are not expressed stably. The use of unstable RGs has a profound effect on the conclusions drawn from studies on gene expression, and almost universally results in spurious estimation of target gene expression. Approaches aimed at selecting and validating RGs often make use of different statistical methods, which may lead to conflicting results. The present study evaluates the expression of 5 candidate RGs (Actb, Pgk1, Sdha, Gapdh, Rnu6b) as a function of hypoxia exposure and hypothermic treatment in the neonatal rat cerebral cortex –in order to identify RGs that are stably expressed under these experimental conditions– and compares several statistical approaches that have been proposed to validate RGs. In doing so, we first analyzed the RG ranking stability proposed by several widely used statistical methods and related tools, i.e. the Coefficient of Variation (CV) analysis, GeNorm, NormFinder, BestKeeper, and the ΔCt method. Subsequently, we compared RG expression patterns between the various experimental groups. We found that these statistical methods, next to producing different rankings per se, all ranked RGs displaying significant differences in expression levels between groups as the most stable RG. As a consequence, when assessing the impact of RG selection on target gene expression quantification, substantial differences in target gene expression profiles were observed. As such, by assessing mRNA expression profiles within the neonatal rat brain cortex in hypoxia and hypothermia as a showcase, this study underlines the importance of further validating RGs for each new experimental paradigm considering the limitations of each selection method.


2019 ◽  
Vol 486 (6) ◽  
pp. 748-752
Author(s):  
A. R. Murtazina ◽  
Yu. O. Nikishina ◽  
L. K. Dil’mukhametova ◽  
A. Ya. Sapronova ◽  
M. V. Ugrumov

This work represents one part of our research project, in which we try to prove, that in the perinatal period exist a humoral regulation between noradrenaline producing organs. In this study we used a rat model that allowed blocking synthesis of noradrenalin in the brain and evaluated gene expression and protein levels of noradrenaline key synthesis enzymes such as tyrosine hydroxylase (TH) and dopamine beta-hydroxylase (DBH) in peripheral noradrenaline producing organs. As a result we showed increased gene expression of TH and DBH in adrenal glands. This data indicate that if neonatal rat brain lacks an ability to produce noradrenaline, then as a compensatory process synthesis of noradrenaline increased in adrenal glands, so that the concentration levels in blood are kept at normal levels. This indicates that there is a humoral regulation between brain and adrenal glands which is not fully understood yet.


2018 ◽  
Vol 156 (6) ◽  
pp. 2271-2280 ◽  
Author(s):  
Junrong Huang ◽  
Gang Liu ◽  
Bowen Shi ◽  
Guochen Shi ◽  
Xiaomin He ◽  
...  

Neuroscience ◽  
2018 ◽  
Vol 393 ◽  
pp. 110-122 ◽  
Author(s):  
Jordan L. Wright ◽  
Hannah X. Chu ◽  
Brett J. Kagan ◽  
Charlotte M. Ermine ◽  
Jessica A. Kauhausen ◽  
...  

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