BACKGROUND
Human immunodeficiency virus (HIV) in blood serum can be detected by means of molecular biology techniques such as reverse transcription – polymerase chain reaction (RT-PCR) and dot blot hibridization with a biotinylated labeled DNA probe. The techniques subsequently can be applied to screen HIV from blood of biological tissues such as radiation sterilized amnions and. allografts especially from National Nuklir Energy Agency Research Tissue Bank. Purpose of this research is, to detect HIV by comparing the sensitivity of the RT-PCR- dot blot hybridization with a biotinylated labeled DNA probe and RT-PCR-agarose gel electrophoresis methods.
METHODS
Samples used in this research were blood sera from Fatmawati Drug Dependent Hospital. The amount of the samples were 55 blood sera consisted of 5 negative and 50 positive HIV samples which were analysed with the rapid test and enzyme linked immunoassay (ELISA) serological assays, respectively. HIV RNA in blood serum was extracted by means of RNA viral extraction kit while one step RT-PCR technique was performed for DNA amplification process.
RESULTS
Results of this research revealed that the HIV positive could be detected on 43 of 55 samples either by RT-PCR agarose gel electrophoresis or RT-PCR dot blot hybridization techniques. The detection result of RT-PCR dot blot hybridization appeared much more clear than RT-PCR agarose gel electrophoresis techniques. Several samples with positive HIV appeared as thick black dots on the film whereas on agarose gel the same samples performed as thin DNA bands.
CONCLUSION
Based on the results obtained, the RT-PCR dot blot using biotinylated labeled probe techniques are more sensitive than RT-PCR agarose gel electrophoresis techniques to detect HIV in blood serum. Keywords : HIV, RT-PCR, dot blot hybridization, blood serum
Background
The purpose of this study assesed a relation of smoking factor to the cataract in agriculture farmers and their families, in Teluk Jambe Barat in Karawang Subdistrict.
METHODS
A cross sectional designed study was done, on 2005, with 1223 samples aged 30 years and up among agriculture farmers and their families in 4 villages, selected with purposive random sampling methods. Data collection was done through interview, measurement, and examination. Cataract was diagnosed through ophthalmoscopic examination without midriatic by ophthalmologists.
RESULTS
The study found that besides age factor, the smoking factor had a positive relation to the cataract. The cataract in the heavier smoker’s group was higher than the cataract in the light smoker’s group.
CONCLUSIONS
Age and smoking were the risk factors of cataract in agriculture farmers.
BACKGROUND
A hidden Markov model (HMM) is used for exon prediction on DNA of genes Plasmodium falciparum that has a model structure based on exon region structure in coding sequence (CDS). The objective research was to develop a new structure model to predict exon on DNA-genes of Plasmodium falciparum based on CDS structure using the HMM system.
METHODS
Model design in CDS, between two exon regions can be found one intron region and the model state number is used for its region. Its state number is used by separating start codon from first exon region and stop codon from the last exon region up to 9. The Viterbi algorithm and the backward-forward method for transition as well as emission states are used for training process. Furthermore, Viterbi and Baum-Welch algorithms are used for the testing process. The correlation coefficient (CC) was used as performance indicator, as the ratio of the estimated state in the output and the original state in the input of the model.
RESULTS
The simulation results has shown that the CC values depend on the given of the backward-forward transition state values randomly. The model with state number 9 showed the highest average of CC values of 0.7289 for Viterbi algorithm, and is 0.7166 for Baum-Welch algorithm. However, the lowest average of CC values has been found for the model with state number five. Its values are 0.6735 by using Viterbi algorithm and 0.6661 by using Baum-Welch algorithm.
CONCLUSION
The new structure model based on HMM system was valid to predict exon on DNA-genes of Plasmodium falciparum. Keywords: Exon Prediction, DNA-gene, coding sequence, Hidden Markov Model
(c) 2007 Faculty of Medicine Trisakti University
Designed By PT. Rajasa Grafika