Vergleichende Analyse der nach den Extraktionsmethoden von Kirby und Georgiev aus Mäuseleber extrahierten RNS-Fraktionen / Analysis of the RNA Fractions of Mouse Liver: Comparison of the Extraction Methods of Kirby and Georgiev

1971 ◽  
Vol 26 (3) ◽  
pp. 235-243 ◽  
Author(s):  
W. Hennig ◽  
W. Kunz ◽  
B. Schnieders ◽  
K. Williams
Keyword(s):  
Comparative Analysis ◽  
Nucleic Acid ◽  
Acid Composition ◽  
Column Chromatography ◽  
Mouse Liver ◽  
Extraction Methods ◽  
Ribonucleic Acids ◽  
Ca 50 ◽  
Liver Homogenates ◽  
Labeled Rna

Ribonucleic acids labeled with 14C- or 3H-orotic acids, respectively were extracted from aliquots of mouse liver homogenates according to the cold-phenol-method of Kirby or the method of Georgiev employing different temperature steps.This comparative analysis showed that only ca. 50% of the total labeled RNA was extracted by the Kirby method. Especially the high molecular D-RNA and R-RNA were not sufficiently extracted, as was demonstrated by hydroxyapatite- and methylalbumin-Kieselgur column chromatography.Reextraction of the tissue at 65 °C first extracted by the Kirby method resulted in a recovery of most of the missing nucleic acid species.Therefore, results obtained by the Kirby and Georgiev methods will be different in regard to the nucleic acid composition. These findings could explain contradictary results about this problem in literature.

scholarly journals A New Fractionation and Recovery Method of Viral Genomes Based on Nucleic Acid Composition and Structure Using Tandem Column Chromatography

2015 ◽  
Vol 30 (2) ◽  
pp. 199-203 ◽  
Author(s):  
Syun-ichi Urayama ◽  
Yukari Yoshida-Takashima ◽  
Mitsuhiro Yoshida ◽  
Yuji Tomaru ◽  
Hiromitsu Moriyama ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Acid Composition ◽  
Column Chromatography ◽  
Recovery Method ◽  
Viral Genomes ◽  
Composition And Structure

Comparative Analysis of the Fatty Acid Composition of Microalgae Obtained by Different Oil Extraction Methods and Direct Biomass Transesterification

2014 ◽  
Vol 7 (3) ◽  
pp. 1035-1044 ◽  
Author(s):  
Aline Terra Soares ◽  
Dayane Cristine da Costa ◽  
Bruna Ferreira Silva ◽  
Rafael Garcia Lopes ◽  
Roberto Bianchini Derner ◽  
...  
Keyword(s):  
Fatty Acid Composition ◽  
Fatty Acid ◽  
Comparative Analysis ◽  
Acid Composition ◽  
Extraction Methods ◽  
Oil Extraction

scholarly journals Evaluation of simple nucleic acid extraction methods for the detection of SARS-CoV-2 in nasopharyngeal and saliva specimens during global shortage of extraction kits

2020 ◽  
Vol 129 ◽  
pp. 104519 ◽  
Author(s):  
Allen Wing-Ho Chu ◽  
Wan-Mui Chan ◽  
Jonathan Daniel Ip ◽  
Cyril Chik-Yan Yip ◽  
Jasper Fuk-Woo Chan ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Extraction Methods ◽  
Acid Extraction ◽  
Nucleic Acid Extraction

scholarly journals Detection of CMP-N-acetylneuraminic acid hydroxylase activity in fractionated mouse liver

1989 ◽  
Vol 263 (2) ◽  
pp. 355-363 ◽  
Author(s):  
L Shaw ◽  
R Schauer
Keyword(s):  
Submandibular Gland ◽  
Mouse Liver ◽  
High Speed ◽  
Metal Salts ◽  
Supernatant Fraction ◽  
Inhibitory Influence ◽  
Hydroxylase Activity ◽  
Acetylneuraminic Acid ◽  
Liver Homogenates ◽  
High Speed Supernatant

The finding that N-glycoloylneuraminic acid (Neu5Gc) in pig submandibular gland is synthesized by hydroxylation of the sugar nucleotide CMP-Neu5Ac [Shaw & Schauer (1988) Biol. Chem. Hoppe-Seyler 369, 477-486] prompted us to investigate further the biosynthesis of this sialic acid in mouse liver. Free [14C]Neu5Ac, CMP-[14C]Neu5Ac and [14C]Neu5Ac glycosidically bound by Gal alpha 2-3- and Gal alpha 2-6-GlcNAc beta 1-4 linkages to fetuin were employed as potential substrates in experiments with fractionated mouse liver homogenates. The only substrate to be hydroxylated was the CMP-Neu5Ac glycoside. The product of the reaction was identified by chemical and enzymic methods as CMP-Neu5Gc. All of the CMP-Neu5Ac hydroxylase activity was detected in the high-speed supernatant fraction. The hydroxylase required a reduced nicotinamide nucleotide [NAD(P)H] coenzyme and molecular oxygen for activity. Furthermore, the activity of this enzyme was enhanced by exogenously added Fe2+ or Fe3+ ions, all other metal salts tested having a negligible or inhibitory influence. This hydroxylase is therefore tentatively classified as a monooxygenase. The cofactor requirement and CMP-Neu5Ac substrate specificity are identical to those of the enzyme in high-speed supernatants of pig submandibular gland, suggesting that this is a common route of Neu5Gc biosynthesis. The relevance of these results to the regulation of Neu5Gc expression in sialoglycoconjugates is discussed.

scholarly journals AMINO ACID COMPOSITION AND ELECTROPHORETIC PROPERTIES OF HYPERTENSIN I

1955 ◽  
Vol 102 (4) ◽  
pp. 435-440 ◽  
Author(s):  
Leonard T. Skeggs ◽  
Walton H. Marsh ◽  
Joseph R. Kahn ◽  
Norman P. Shumway
Keyword(s):  
Amino Acids ◽  
Quantitative Analysis ◽  
Amino Acid ◽  
Ion Exchange ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Isoelectric Point ◽  
Column Chromatography ◽  
Isoleucine Leucine ◽  
Ion Exchange Column

A preparation of hypertensin I was purified by countercurrent distribution and was shown to migrate as a single component in starch blocks at pH 9.3 and 4.2. It had an isoelectric point of 7.7. Quantitative analysis by ion exchange column chromatography showed eight amino acids in approximately unimolar proportion: aspartic, proline, valine, isoleucine, leucine, tyrosine, phenylalanine, and arginine. There were in addition two moles of histidine.

scholarly journals COMPARATIVE ANALYSIS OF DIFFERENT CAD METHODS FOR EXTRACTION OF THE HEMT NOISE WAVE MODEL PARAMETERS

2017 ◽  
Vol 16 (2) ◽  
pp. 117
Author(s):  
Vladica Đorđević ◽  
Zlatica Marinković ◽  
Olivera Pronić-Rančić
Keyword(s):  
Comparative Analysis ◽  
Electron Mobility ◽  
Computer Aided Design ◽  
Wave Model ◽  
High Electron Mobility Transistor ◽  
Extraction Methods ◽  
Model Parameters ◽  
High Electron ◽  
High Electron Mobility ◽  
Noise Modeling

The noise wave model has appeared as a very appropriate model for the purpose of transistor noise modeling at microwave frequencies. The transistor noise wave model parameters are usually extracted from the measured transistor noise parameters by using time-consuming optimization procedures in microwave circuit simulators. Therefore, three different Computer-Aided Design methods that enable more efficient automatic determination of these parameters in the case of high electron-mobility transistors were developed. All of these extraction methods are based on different noise de-embedding procedures, which are described in detail within this paper. In order to validate the presented extraction methods, they were applied for the noise modeling of a specific GaAs high electron-mobility transistor. Finally, the obtained results were used for the comparative analysis of the presented extraction approaches in terms of accuracy, complexity and effectiveness.

scholarly journals Increase of Cholinesterase Content in Mouse Liver Homogenates after Incubation.

1956 ◽  
Vol 10 ◽  
pp. 1243-1250 ◽  
Author(s):  
Karl Håkon Skamstad ◽  
Rolf Gmelin ◽  
S. Lindstedt ◽  
A. Norman ◽  
B. Thorell
Keyword(s):  
Mouse Liver ◽  
Liver Homogenates

scholarly journals Identification of Human Enzymes Using Amino Acid Composition and the Composition of k-Spaced Amino Acid Pairs

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Lifu Zhang ◽  
Benzhi Dong ◽  
Zhixia Teng ◽  
Ying Zhang ◽  
Liran Juan
Keyword(s):  
Amino Acid ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Extraction Methods ◽  
New Drugs ◽  
Training Dataset ◽  
Support Vector ◽  
Feature Selection Technique ◽  
Vast Number ◽  
Human Proteins

Enzymes are proteins that can efficiently catalyze specific biochemical reactions, and they are widely present in the human body. Developing an efficient method to identify human enzymes is vital to select enzymes from the vast number of human proteins and to investigate their functions. Nevertheless, only a limited amount of research has been conducted on the classification of human enzymes and nonenzymes. In this work, we developed a support vector machine- (SVM-) based predictor to classify human enzymes using the amino acid composition (AAC), the composition of k-spaced amino acid pairs (CKSAAP), and selected informative amino acid pairs through the use of a feature selection technique. A training dataset including 1117 human enzymes and 2099 nonenzymes and a test dataset including 684 human enzymes and 1270 nonenzymes were constructed to train and test the proposed model. The results of jackknife cross-validation showed that the overall accuracy was 76.46% for the training set and 76.21% for the test set, which are higher than the 72.6% achieved in previous research. Furthermore, various feature extraction methods and mainstream classifiers were compared in this task, and informative feature parameters of k-spaced amino acid pairs were selected and compared. The results suggest that our classifier can be used in human enzyme identification effectively and efficiently and can help to understand their functions and develop new drugs.

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