• Title/Summary/Keyword: DNA array

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Development of DNA Probe Assay System for Salmonella Species using Glass as substrate

  • Jeong, U-Seong;Lee, Ung-Hui;Baek, Se-Hwan
    • 한국생물공학회:학술대회논문집
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    • 2001.11a
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    • pp.235-236
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    • 2001
  • We developed a DNA probe analytical system with a patterned array of oligonucleotide molecules immobilized on glass surfaces. The detection capability of the system depended mainly on the way the capture probes were attached to the support as wen as the sequence. We optimized major variables to graft DNA molecules onto a glass support and the DNA probe assay was eventually accomplished without purification of the PCR product.

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Electrochemical Gene Detection Using Hoechat Groove Binder (Hoechst groove binder를 이용한 유전자의 전기화학적 검출)

  • Choi, Yong-Sung;Lee, Woo-Ki;Lee, Kyung-Sup
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2006.05a
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    • pp.65-70
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    • 2006
  • In this study, a DNA chip with a microelectrode array was fabricated using microfabrication technology. Several probe DNAs consisting of mercaptohexyl moiety at their 5 end were immobilized on the gold electrodes by DNA arrayer. Then target DNAs were hybridized and reacted with Hoechst 33258, which is a DNA minor groove binder and electrochemically active dye. Linear sweep voltammetry or cyclic voltammetry showed a difference between target DNA and control DNA in the anodic peak current values. It was derived from Hoechst 33258 concentrated at the electrode surface through association with formed hybrid. It suggested that this DNA chip could recognize the sequence specific genes.

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A Penalized Spline Based Method for Detecting the DNA Copy Number Alteration in an Array-CGH Experiment

  • Kim, Byung-Soo;Kim, Sang-Cheol
    • The Korean Journal of Applied Statistics
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    • v.22 no.1
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    • pp.115-127
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    • 2009
  • The purpose of statistical analyses of array-CGH experiment data is to divide the whole genome into regions of equal copy number, to quantify the copy number in each region and finally to evaluate its significance of being different from two. Several statistical procedures have been proposed which include the circular binary segmentation, and a Gaussian based local regression for detecting break points (GLAD) by estimating a piecewise constant function. We propose in this note a penalized spline regression and its simultaneous confidence band(SCB) approach to evaluate the statistical significance of regions of genetic gain/loss. The region of which the simultaneous confidence band stays above 0 or below 0 can be considered as a region of genetic gain or loss. We compare the performance of the SCB procedure with GLAD and hidden Markov model approaches through a simulation study in which the data were generated from AR(1) and AR(2) models to reflect spatial dependence of the array-CGH data in addition to the independence model. We found that the SCB method is more sensitive in detecting the low level copy number alterations.

Normalization of Microarray Data: Single-labeled and Dual-labeled Arrays

  • Do, Jin Hwan;Choi, Dong-Kug
    • Molecules and Cells
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    • v.22 no.3
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    • pp.254-261
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    • 2006
  • DNA microarray is a powerful tool for high-throughput analysis of biological systems. Various computational tools have been created to facilitate the analysis of the large volume of data produced in DNA microarray experiments. Normalization is a critical step for obtaining data that are reliable and usable for subsequent analysis such as identification of differentially expressed genes and clustering. A variety of normalization methods have been proposed over the past few years, but no methods are still perfect. Various assumptions are often taken in the process of normalization. Therefore, the knowledge of underlying assumption and principle of normalization would be helpful for the correct analysis of microarray data. We present a review of normalization techniques from single-labeled platforms such as the Affymetrix GeneChip array to dual-labeled platforms like spotted array focusing on their principles and assumptions.

New Normalization Methods using Support Vector Machine Regression Approach in cDNA Microarray Analysis

  • Sohn, In-Suk;Kim, Su-Jong;Hwang, Chang-Ha;Lee, Jae-Won
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2005.09a
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    • pp.51-56
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    • 2005
  • There are many sources of systematic variations in cDNA microarray experiments which affect the measured gene expression levels like differences in labeling efficiency between the two fluorescent dyes. Print-tip lowess normalization is used in situations where dye biases can depend on spot overall intensity and/or spatial location within the array. However, print-tip lowess normalization performs poorly in situation where error variability for each gene is heterogeneous over intensity ranges. We proposed the new print-tip normalization methods based on support vector machine regression(SVMR) and support vector machine quantile regression(SVMQR). SVMQR was derived by employing the basic principle of support vector machine (SVM) for the estimation of the linear and nonlinear quantile regressions. We applied our proposed methods to previous cDNA micro array data of apolipoprotein-AI-knockout (apoAI-KO) mice, diet-induced obese mice, and genistein-fed obese mice. From our statistical analysis, we found that the proposed methods perform better than the existing print-tip lowess normalization method.

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Genome-wide Examination of Chromosomal Aberrations in Neuroblastoma SH-SY5Y Cells by Array-based Comparative Genomic Hybridization

  • Do, Jin Hwan;Kim, In Su;Park, Tae-Kyu;Choi, Dong-Kug
    • Molecules and Cells
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    • v.24 no.1
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    • pp.105-112
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    • 2007
  • Most neuroblastoma cells have chromosomal aberrations such as gains, losses, amplifications and deletions of DNA. Conventional approaches like fluorescence in situ hybridization (FISH) or metaphase comparative genomic hybridization (CGH) can detect chromosomal aberrations, but their resolution is low. In this study we used array-based comparative genomic hybridization to identify the chromosomal aberrations in human neuroblastoma SH-SY5Y cells. The DNA microarray consisting of 4000 bacterial artificial chromosome (BAC) clones was able to detect chromosomal regions with aberrations. The SH-SY5Y cells showed chromosomal gains in 1q12~ q44 (Chr1:142188905-246084832), 7 (over the whole chro-mosome), 2p25.3~p16.3 (Chr2:18179-47899074), and 17q 21.32~q25.3 (Chr17:42153031-78607159), while chromosomal losses detected were the distal deletion of 1p36.33 (Chr1:552910-563807), 14q21.1~q21.3 (Chr14:37666271-47282550), and 22q13.1~q13.2 (Chr22:36885764-4190 7123). Except for the gain in 17q21 and the loss in 1p36, the other regions of gain or loss in SH-SY5Y cells were newly identified.

Development of a Multiplex PCR for Discrimination of the TLC:RS1:CTX array of Vibrio cholerae Wave 3 El Tor Strains

  • Kim, Eun Jin;Yu, Hyun Jin;Nair, G. Balakrish;Kim, Dong Wook
    • Journal of Microbiology and Biotechnology
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    • v.26 no.12
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    • pp.2199-2205
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    • 2016
  • Vibrio cholerae O1 serogroup Wave 3 El Tor strains are presently prevalent worldwide. The Wave 3 El Tor strains contain a TLC:RS1:CTX array on chromosome 1, and no element is integrated on chromosome 2. A multiplex PCR optimized to identify the TLC:RS1:CTX array of Wave 3 strains has been developed in this study. By using eight primers, the multiplex PCR can identify the characteristic CTX and RS1 array of Wave 3 strains from various arrays of strains belonging to other Waves. The four amplified DNA fragments of Wave 3 strains have been cloned in a vector, which could be used as a positive control for the multiplex PCR. This multiplex PCR and the positive control set could be useful tools for rapid recognition of Wave 3 El Tor strains.

DNAchip as a Tool for Clinical Diagnostics (진단의학 도구로서의 DNA칩)

  • 김철민;박희경
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.04a
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    • pp.97-100
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    • 2004
  • The identification of the DNA structure as a double-stranded helix consting of two nucleotide chain molecules was a milestone in modern molecular biology. The DNA chip technology is based on reverse hybridization that follows the principle of complementary binding of double-stranded DNA. DNA chip can be described as the deposition of defined nucleic acid sequences, probes, on a solid substrate to form a regular array of elements that are available for hybridization to complementary nucleic acids, targets. DNA chips based on cDNA clons, oligonucleotides and genomic clons have been developed for gene expression studies, genetic variation analysis and genomic changes associated with disease including cancers and genetic diseases. DNA chips for gene expression profiling can be used for functional analysis in human eel Is and animal models, disease-related gene studies, assessment of gene therapy, assessment of genetically modified food, and research for drug discovery. DNA chips for genetic variation detection can be used for the detection of mutations or chromosomal abnormalities in cnacers, drug resistances in cancer cells or pathogenic microbes, histocompatibility analysis for transplantation, individual identification for forensic medicine, and detection and discrimination of pathogenic microbes. The DNA chip will be generalized as a useful tool in clinical diagnostics in near future. Lab-on-a chip and informatics will facilitate the development of a variety of DNA chips for diagnostic purpose.

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Micro and MacroArray Processing System Development: An Experience

  • 조환규
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2001.10a
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    • pp.117-150
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    • 2001
  • cDNA Microarray 처리를 위한 시스템 개발에 관하여 개발시의 주요 착안점과 이전의 시스템에 비해서 개선된 몇 가지 기술에 대하여 본 연구팀의 실제적인 개발경험을 중심으로 설명한다. 렬 연구팀에서 만든 시스템의 기능은 이미지 처리부터 군집화(Clustering)에 이르는 전 과정을 통합적으로 처리될 수 있는데, 이 각 과정에 대하여 개략적으로 설명한다. 그리고 이 시스템을 활용하여 Macroarray라고 불릴 수 있는 새로운 형식의 array 실험장치에 어떻게 본 시스템이 적용되는지에 대하여도 설명을 한다.

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