The mRNA quantitative analysis, prokaryotic expression and structure prediction of hepatocarcinogenesis related gene idh3α under AFB1 stress

2011 ◽  
Vol 5 (15) ◽  
Author(s):  
Zhuang Zhenhong
Keyword(s):  
Quantitative Analysis ◽  
Prokaryotic Expression ◽  
Structure Prediction ◽  
Related Gene ◽  
Mrna Quantitative Analysis

Characterization of cDNAs encoding three trypsin-like proteinases and mRNA quantitative analysis in Bt-resistant and -susceptible strains of Ostrinia nubilalis

2005 ◽  
Vol 35 (8) ◽  
pp. 847-860 ◽  
Author(s):  
Huarong Li ◽  
Brenda Oppert ◽  
Randall A. Higgins ◽  
Fangneng Huang ◽  
Lawrent L. Buschman ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Ostrinia Nubilalis ◽  
Mrna Quantitative Analysis

Cloning and Prokaryotic Expression and Structure Prediction of Prx II the Differentially Expressed Gene under AFB1 Stress

2011 ◽  
Vol 236-238 ◽  
pp. 1078-1082
Author(s):  
Zhen Hong Zhuang ◽  
Feng Zhang ◽  
Yan Yun Li ◽  
Jun Yuan ◽  
Yan Ling Yang ◽  
...  
Keyword(s):  
Signal Peptide ◽  
Prokaryotic Expression ◽  
Structure Prediction ◽  
Tertiary Structure ◽  
Differentially Expressed Gene ◽  
Protein Molecule ◽  
Helix 69 ◽  
Prokaryotic Expression Vector ◽  
Mice Liver ◽  
Α Helix

The gene, prx II, in mice liver was found to be up-regulated under the stress of AFB1 in our previous study. In this study, the total RNA from the mice liver was extracted, and followed by the synthesis of cDNA with the RNA as template by the method of reverse transcription. Then, prx II gene fragment was amplified by PCR with the cDNA as template. After double-digestion and ligation reaction, the prokaryotic expression vector pET28a (+)-prx II was successfully constructed and was transformed into E. coli BL21 (DE3). The protein- Prx II was successfully expressed when induced byIPTG, and finally, Prx II was purified by Ni2+-NTA affinity chromatography. The molecule structure of Prx II, including its signal peptide, hydrophobicity, and its secondary and tertiary structure, was predicted by bioinformatics analysis. The results showed that no signal peptide was predicted in the molecule of Prx II; Five hydrohpobic domains were predicted in the protein molecule, and the average predictive value for its hydrophobicity was -0.151; There were 35% α-helix (69 residues) and 21% β-pleated sheet (42 residues) in the molecule; The tertiary structure of the protein was constituted by seven α-helices and seven β-pleated sheets.

scholarly journals Quantitative analysis of apoptosis-related gene expression in hepatocellular carcinoma

Cancer ◽  
2002 ◽  
Vol 95 (9) ◽  
pp. 1938-1945 ◽  
Author(s):  
Masahide Ikeguchi ◽  
Yasuaki Hirooka ◽  
Nobuaki Kaibara
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Quantitative Analysis ◽  
Related Gene ◽  
Apoptosis Related Gene

An Improved Quantitative Image Analyser

1977 ◽  
Vol 35 ◽  
pp. 226-227
Author(s):  
J.P. Fallon ◽  
P.J. Gregory ◽  
C.J. Taylor
Keyword(s):  
Feature Extraction ◽  
Quantitative Analysis ◽  
Frequency Content ◽  
General Sense ◽  
Physical Measurements ◽  
Quantitative Image ◽  
Image Analyser ◽  
Automatic Methods ◽  
Quantitative Results

Quantitative image analysis systems have been used for several years in research and quality control applications in various fields including metallurgy and medicine. The technique has been applied as an extension of subjective microscopy to problems requiring quantitative results and which are amenable to automatic methods of interpretation.Feature extraction. In the most general sense, a feature can be defined as a portion of the image which differs in some consistent way from the background. A feature may be characterized by the density difference between itself and the background, by an edge gradient, or by the spatial frequency content (texture) within its boundaries. The task of feature extraction includes recognition of features and encoding of the associated information for quantitative analysis.Quantitative Analysis. Quantitative analysis is the determination of one or more physical measurements of each feature. These measurements may be straightforward ones such as area, length, or perimeter, or more complex stereological measurements such as convex perimeter or Feret's diameter.

Quantification of Silica Uptake by Alveolar Macrophages - An Emperical Scanning Electron Microprobe Method

1982 ◽  
Vol 40 ◽  
pp. 332-333
Author(s):  
V. V. Damiano ◽  
R. P. Daniele ◽  
H. T. Tucker ◽  
J. H. Dauber
Keyword(s):  
Quantitative Analysis ◽  
Alveolar Macrophages ◽  
Bulk Sample ◽  
Silica Particles ◽  
Empirical Method ◽  
Phagocytic Cells ◽  
Calibration Standards ◽  
X Ray ◽  
Accurate Quantitative Analysis ◽  
Scanning Electron

An important example of intracellular particles is encountered in silicosis where alveolar macrophages ingest inspired silica particles. The quantitation of the silica uptake by these cells may be a potentially useful method for monitoring silica exposure. Accurate quantitative analysis of ingested silica by phagocytic cells is difficult because the particles are frequently small, irregularly shaped and cannot be visualized within the cells. Semiquantitative methods which make use of particles of known size, shape and composition as calibration standards may be the most direct and simplest approach to undertake. The present paper describes an empirical method in which glass microspheres were used as a model to show how the ratio of the silicon Kα peak X-ray intensity from the microspheres to that of a bulk sample of the same composition correlated to the mass of the microsphere contained within the cell. Irregular shaped silica particles were also analyzed and a calibration curve was generated from these data.

Lateral resolution of the electron microbeam analysis

1978 ◽  
Vol 36 (1) ◽  
pp. 542-543
Author(s):  
H.J. Dudek
Keyword(s):  
Quantitative Analysis ◽  
Depth Resolution ◽  
Lateral Resolution ◽  
Cylindrical Particle ◽  
Correction Procedure ◽  
X Ray ◽  
Element Concentrations ◽  
Microbeam Analysis ◽  
The Matrix

The chemical inhomogenities in modern materials such as fibers, phases and inclusions, often have diameters in the region of one micrometer. Using electron microbeam analysis for the determination of the element concentrations one has to know the smallest possible diameter of such regions for a given accuracy of the quantitative analysis.In th is paper the correction procedure for the quantitative electron microbeam analysis is extended to a spacial problem to determine the smallest possible measurements of a cylindrical particle P of high D (depth resolution) and diameter L (lateral resolution) embeded in a matrix M and which has to be analysed quantitative with the accuracy q. The mathematical accounts lead to the following form of the characteristic x-ray intens ity of the element i of a particle P embeded in the matrix M in relation to the intensity of a standard S

Sign in / Sign up

Export Citation Format

Share Document