• Title/Summary/Keyword: DNA-microarray system

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Mechanisms of 5-azacytidine-induced damage and repair process in the fetal brain

  • Ueno, Masaki
    • Proceedings of the Korean Society of Toxicology Conference
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    • 2006.11a
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    • pp.55-64
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    • 2006
  • The fetal central nervous system (CNS) is sensitive to diverse environmental factors, such as alcohol, heavy metals, irradiation, mycotoxins, neurotransmitters, and DNA damage, because a large number of processes occur during an extended period of development. Fetal neural damage is an important issue affecting the completion of normal CNS development. As many concepts about the brain development have been recently revealed, it is necessary to compare the mechanism of developmental abnormalities induced by extrinsic factors with the normal brain development. To clarify the mechanism of fetal CNS damage, we used one experimental model in which 5-azacytidine (5AZC), a DNA damaging and demethylating agent, was injected to the dams of rodents to damage the fetal brain. 5AzC induced cell death (apoptosis)and cell cycle arrest in the fetal brain, and it lead to microencephaly in the neonatal brain. We investigated the mechanism of apoptosis and cell cycle arrest in the neural progenitor cells in detail, and demonstrated that various cell cycle regulators were changed in response to DNA damage. p53, the guardian of genome, played a main role in these processes. Further, using DNA microarray analysis, tile signal cascades of cell cycle regulation were clearly shown. Our results indicate that neural progenitor cells have the potential to repair the DNA damages via cell cyclearrest and to exclude highly affected cells through the apoptotic process. If the stimulus and subsequent DNA damage are high, brain development proceeds abnormally and results in malformation in the neonatal brain. Although the mechanisms of fetal brain injury and features of brain malformation afterbirth have been well studied, the process between those stages is largely unknown. We hypothesized that the fetal CNS has the ability to repair itself post-injuring, and investigated the repair process after 5AZC-induced damage. Wefound that the damages were repaired by 60 h after the treatment and developmental processes continued. During the repair process, amoeboid microglial cells infiltrated in the brain tissue, some of which ingested apoptotic cells. The expressions of genes categorized to glial cells, inflammation, extracellular matrix, glycolysis, and neurogenesis were upregulated in the DNA microarray analysis. We show here that the developing brain has a capacity to repair the damage induced by the extrinsic stresses, including changing the expression of numerous genes and the induction of microglia to aid the repair process.

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The Algorithm Design and Implement of Microarray Data Classification using the Byesian Method (베이지안 기법을 적용한 마이크로어레이 데이터 분류 알고리즘 설계와 구현)

  • Park, Su-Young;Jung, Chai-Yeoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.12
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    • pp.2283-2288
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    • 2006
  • As development in technology of bioinformatics recently makes it possible to operate micro-level experiments, we can observe the expression pattern of total genome through on chip and analyze the interactions of thousands of genes at the same time. Thus, DNA microarray technology presents the new directions of understandings for complex organisms. Therefore, it is required how to analyze the enormous gene information obtained through this technology effectively. In this thesis, We used sample data of bioinformatics core group in harvard university. It designed and implemented system that evaluate accuracy after dividing in class of two using Bayesian algorithm, ASA, of feature extraction method through normalization process, reducing or removing of noise that occupy by various factor in microarray experiment. It was represented accuracy of 98.23% after Lowess normalization.

Manufacturing Protein-DNA Chip for Depigmenting Agent Screening (전사인자 저해제 통한 미백제 탐색용 단백질 칩 제작)

  • Han Jung-Sun;Kwak Eun-Young;Lee Hyang-Bok;Shin Jlung-Hyun;Baek Seung-Hak;Chung Bong-Hyun;Kim Eun-Ki
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.30 no.4 s.48
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    • pp.479-483
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    • 2004
  • An attempt was made to develop a proteinchip for screening of MITF (microphthalmia transcription factor) inhibitor. Binding of MITF to E-box causes transcription of several pigmenting genes including tyrosinase gene. We investigated binding of MITF and its DNA binding site (E-box) using a protein-DNA chip with various detection methods including flurorescence (Cyt3). SPR (surface plasmon resonance) and SPRi (surface plasmon resonance imaging). A fusion protein (MITF-Maltose Binding Protein) was attached on the glass plate by chemical modification. An inhibitory synthetic DNA oligomer, artificially designed based on the E-box sequence, inhibited the binding of MITF and E-box. These results showed the potentials of flurorescence-based MITF protein chip as a microarray for high throughput screening (HTS) system of depigmenting agents.

cDNA Microarray Analysis of the Differential Gene Expression in the Neuropathic Pain and Electroacupuncture Treatment Models

  • Ko, Je-Sang;Na, Doe-Sun;Lee, Young-Han;Shin, Soon-Young;Kim, Ji-Hoon;Hwang, Byung-Gil;Min, Byung-Il;Park, Dong-Suk
    • BMB Reports
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    • v.35 no.4
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    • pp.420-427
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    • 2002
  • Partial nerve injury is the main cause of neuropathic pain disorders in humans. Acupuncture has long been used to relieve pain. It is known to relieve pain by controlling the activities of the autonomic nervous system. Although the mechanism of neuropathic pain and analgesic effects of electroacupuncture (EA) have been studied in a rat model system, its detailed mechanism at the molecular level remains unclear. To identify genes that might serve as either markers or explain these distinct biological functions, a cDNA microarray analysis was used to compare the expression of 8,400 genes among three sample groups. Messenger RNAs that were pooled from the spinal nerves of 7 normal. 7 neuropathic pain, and 7 EA treatment rat models were compared. Sixty-eight genes were differentially expressed more than 2-fold in the neuropathic rat model when compared to the normal, and restored to the normal expression level after the EA treatment. These genes are involved in a number of biological processes, including the signal transduction, gene expression, and nociceptive pathways. Confirmation of the differential gene expression was performed by a dot-blot analysis. Dot-blotting results showed that the opioid receptor sigma was among those genes. This indicates that opioid-signaling events are involved in neuropathic pain and the analgesic effects of EA. The potential application of these data include the identification and characterization of signaling pathways that are involved in the EA treatment, studies on the role of the opioid receptor in neuropathic pain, and further exploration on the role of selected identified genes in animal models.

Application of Bioinformatics for the Functional Genomics Analysis of Prostate Cancer Therapy

  • Mousses, Spyro
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2000.11a
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    • pp.74-82
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    • 2000
  • Prostate cancer initially responds and regresses in response to androgen depletion therapy, but most human prostate cancers will eventually recur, and re-grow as an androgen independent tumor. Once these tumors become hormone refractory, they usually are incurable leading to death for the patient. Little is known about the molecular details of how prostate cancer cells regress following androgen ablation and which genes are involved in the androgen independent growth following the development of resistance to therapy. Such knowledge would reveal putative drug targets useful in the rational therapeutic design to prevent therapy resistance and control androgen independent growth. The application of genome scale technologies have permitted new insights into the molecular mechanisms associated with these processes. Specifically, we have applied functional genomics using high density cDNA microarray analysis for parallel gene expression analysis of prostate cancer in an experimental xenograft system during androgen withdrawal therapy, and following therapy resistance, The large amount of expression data generated posed a formidable bioinformatics challenge. A novel template based gene clustering algorithm was developed and applied to the data to discover the genes that respond to androgen ablation. The data show restoration of expression of androgen dependent genes in the recurrent tumors and other signaling genes. Together, the discovered genes appear to be involved in prostate cancer cell growth and therapy resistance in this system. We have also developed and applied tissue microarray (TMA) technology for high throughput molecular analysis of hundreds to thousands of clinical specimens simultaneously. TMA analysis was used for rapid clinical translation of candidate genes discovered by cDNA microarray analysis to determine their clinical utility as diagnostic, prognostic, and therapeutic targets. Finally, we have developed a bioinformatic approach to combine pharmacogenomic data on the efficacy and specificity of various drugs to target the discovered prostate cancer growth associated candidate genes in an attempt to improve current therapeutics.

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GraPT: Genomic InteRpreter about Predictive Toxicology

  • Woo Jung-Hoon;Park Yu-Rang;Jung Yong;Kim Ji-Hun;Kim Ju-Han
    • Genomics & Informatics
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    • v.4 no.3
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    • pp.129-132
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    • 2006
  • Toxicogenomics has recently emerged in the field of toxicology and the DNA microarray technique has become common strategy for predictive toxicology which studies molecular mechanism caused by exposure of chemical or environmental stress. Although microarray experiment offers extensive genomic information to the researchers, yet high dimensional characteristic of the data often makes it hard to extract meaningful result. Therefore we developed toxicant enrichment analysis similar to the common enrichment approach. We also developed web-based system graPT to enable considerable prediction of toxic endpoints of experimental chemical.

Application of DNA microarry : Comparative functional genomic approach

  • Chu In-Sun
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2006.02a
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    • pp.109-114
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    • 2006
  • 최근 Human 지놈 프로젝트를 포함한 다양한 종의 지놈 프로젝트가 수행되고 수많은 지놈정보가 생산되고 있으며 이를 해석하고 서로 연관성를 찾기 위한 다양한 연구가 진행되고 있다. 즉 최신 생명공학과 관련된 연구방향이 DNA의 구조적 해석에서 기능 해석과 유전자들의 상호연관성을 규명하는 방향으로 변화하고 있으며 이를 위한 강력한 도구로서 DNA microarray (DNA chip)는 방대한 양의 지놈 정보를 이용하여 단시간에 대량으로 고속처리하여 효율적으로 유전자 기능을 분석할 수 있는 주목받고 있는 방법이다. DNA microarray 실험과 분석에 있어 데이터분석, 재현성, 종간의 비교, 확인실험 및 비용 등의 문제가 있지만 유전자발현양상 데이터로부터 정확한 환자의 예후를 예측할 수 있는 비교적 적은 유전자 그룹의 진단마커를 찾거나, 하나의 유전자가 아니라 mouse 전체 지놈의 유전자발현 패턴을 인간의 암을 위시한 각종 질병 연구를 위한 발현 신호나 변화 등을 발견하여 신약개발 등에 활용하고자 하는 시도가 활발히 진행되고 있다. 서로 다른 종간에 비슷한 phenotype의 유전자발현도 진화적으로 보존되었다는 전제 하에서 지놈 sequence의 비교연구가 가능하고 DNA microarray 발현 데이터에 근거하여 독립적으로 각 종간의 유전자발현패턴을 비교함으로써 난치병 등을 새롭게 분류할 수 있다. 즉, 암세포 등에서 유전자발현 양상은 유전학적, 환경적 alteration들이 잘 반영되어 있다고 간주하고, 이러한 양상을 바탕으로 인간의 암을 위시한 다양한 질병 연구를 위한 최적의 mouse 모델을 찾을 수 있고, 이는 결국 새로운 치료 방법 개발이나 맞춤의학 실현에 중요한 역할을 할 것으로 기대된다. 특히 pathway 타겟으로 하는 치료를 위해서는 Human-mouse 비교를 통한 발현 신호를 찾는 것이 진단에서는 매우 유용한 방법이다. 이를 위한 고성능의 분석방법이나 시스템의 개발이 중요하게 된다.. 관류의 정도와 조영증강정도를 중심으로 관류 MR 영상소견과 조직학적 소견을 관련지어 분석하였다. 결과: 조영증강 T1강조MR영상에서 환상조영증강을 보이는 다형성 교보세포종 2예에서는 변연부 외륜이 고관류를, 중심부의 괴사부위는 저관류로 나타났다. 저등급 교종은 경계가 불분명한 저관류부위로 보였다. 뇌농양 2예는 변연부 외륜이 경도의 고관류를, 중심부는 저관류로 나타났다. 뇌수막종은 미만성의 균일한 중등도 혹은 고도의 고관류로 보였으며, 임파종과 배아종은 경계가 명확한 저관류부위로 나타났다. 신경세포종은 종괴\ulcorner 일부에 중등도 혹은 고도의 고관류부위가 관찰되었고, 전이암은 다수병변중 일부에서 중등도의 고관류를 보였다. 방사선괴사는 저관류부위내에 국소적 고관류부위를 보였다. 결론: 관류 MR영상은 뇌종양의 관류상태를 비교적 잘 반영하며, 조직학적 특성을 예측하는데에 도움을 주 수 있을 것으로 기대된다. 뇌종야에서의 관류MR영상의 분명한 역할을 규명하기 위해서는 앞으로 더 많은 임상적 연구가 필요할 것으로 생각된다.조증 환자의 자극성 전타액내 lactobacilli양은 peroxidase system을 함유한 세치제를 사용한 군에서 대조군에 비해 상대적으로 낮게 나타났으나(p = 0.067) 통계학적 유의성은 없었다.같은 예에서 찾아 볼 수 있다. 첫째, 발음상으로 동사의 변화형에서 "porte[$p{\jmath}rte$](들다: 현재형), porte[$p{\jmath}rte$](과거분사형), porta[$p{\jmath}rte$](단순과거형)"등이 대립되며, 이휘 "Porto[$p{\jmath}rte$](포르토)"와도 대립된다. 둘째, 어휘적 대립 "le haut[$l{\partial}o$](위)/l'eau[lo](물)"와 형태론적 대립 "le[$l{\partial}$](정관사, 남성단수)/l

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Gene Discovery Analysis from Mouse Embryonic Stem Cells Based on Time Course Microarray Data

  • Suh, Young Ju;Cho, Sun A;Shim, Jung Hee;Yook, Yeon Joo;Yoo, Kyung Hyun;Kim, Jung Hee;Park, Eun Young;Noh, Ji Yeun;Lee, Seong Ho;Yang, Moon Hee;Jeong, Hyo Seok;Park, Jong Hoon
    • Molecules and Cells
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    • v.26 no.4
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    • pp.338-343
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    • 2008
  • An embryonic stem cell is a powerful tool for investigation of early development in vitro. The study of embryonic stem cell mediated neuronal differentiation allows for improved understanding of the mechanisms involved in embryonic neuronal development. We investigated expression profile changes using time course cDNA microarray to identify clues for the signaling network of neuronal differentiation. For the short time course microarray data, pattern analysis based on the quadratic regression method is an effective approach for identification and classification of a variety of expressed genes that have biological relevance. We studied the expression patterns, at each of 5 stages, after neuronal induction at the mRNA level of embryonic stem cells using the quadratic regression method for pattern analysis. As a result, a total of 316 genes (3.1%) including 166 (1.7%) informative genes in 8 possible expression patterns were identified by pattern analysis. Among the selected genes associated with neurological system, all three genes showing linearly increasing pattern over time, and one gene showing decreasing pattern over time, were verified by RT-PCR. Therefore, an increase in gene expression over time, in a linear pattern, may be associated with embryonic development. The genes: Tcfap2c, Ttr, Wnt3a, Btg2 and Foxk1 detected by pattern analysis, and verified by RT-PCR simultaneously, may be candidate markers associated with the development of the nervous system. Our study shows that pattern analysis, using the quadratic regression method, is very useful for investigation of time course cDNA microarray data. The pattern analysis used in this study has biological significance for the study of embryonic stem cells.

Differentially Expressed Genes by Methylmercury in Neuroblastoma cell line using suppression subtractive hybridization (SSH) and cDNA Microarray

  • Kim, Youn-Jung;Chang, Suk-Tai;Yun, Hye-Jung;Ryu, Jae-Chun
    • Proceedings of the Korea Society of Environmental Toocicology Conference
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    • 2003.05a
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    • pp.187-187
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    • 2003
  • Methylmercury (MeHg), one of the heavy metal compounds, can cause severe damage to the central nervous system in humans. Many reports have shown that MeHg is poisonous to human body through contaminated foods and has released into the environment. Despite many studies on the pathogenesis of MeHg-induced central neuropathy, no useful mechanism of toxicity has been established so far. In this study, two methods, cDNA Microarray and SSH, were performed to assess the expression profile against MeHg and to identify differentially expressed genes by MeHg in neuroblastoma cell line. TwinChip Human-8K (Digital Genomics) was used with total RNA from SH-SY5Y (human neuroblastoma cell line) treated with solvent (DMSO) and 6.25 uM (IC50) MeHg. And we performed forward and reverse SSH method on mRNA derived from SH-SY5Y treated with DMSO and MeHg (6.25 uM). Differentially expressed cDNA clones were sequenced and were screened by dot blot and ribonuclease protection assay to confirm that individual clones indeed represent differentially expressed genes. These sequences were identified by BLAST homology search to known genes or expressed sequence tags (ESTs). Analysis of these sequences may provide an insight into the biological effects of MeHg in the pathogenesis of neurodegenerative disease and a possibility to develop more efficient and exact monitoring system of heavy metals as environmental pollutants.

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cDNA Microarray data Analysis and Management System: cMAMS (cDNA 마이크로어레이 데이터의 분석과 관리 시스템: cMAMS)

  • 김상배;김효미;이은정;김영진;박정선;박윤주;정호열;고인송
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.247-249
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    • 2004
  • 마이크로어레이 기술은 근래에 개발된 신기술로써 동시에 수천-수만 개의 유전자 발현을 측정할 수 있어 다양한 생물학적 연구에 이용되고 있다. 여러 단계의 실험 과정과 이를 통해 얻은 다량의 데이터를 처리하기 위해서는 이를 효율적으로 관리. 저장, 분석할 수 있는 통할 정보 관리 시스템을 필요로 한다. 현재 외국에서는 몇몇 관리시스템이 개발되어 있고. 국내에서도 WEMA 등이 있지만 아직 데이터 관리부분에 기능이 치우쳐 있다. 따라서 우리는 복잡한 자료구조를 가지는 마이크로어레이의 실험 정보와 각 단계별 처리 정보 등을 사용자의 관점에서 효과적이고 체계적으로 관리할 수 있고, 데이터 정규화 및 다양한 통계적 분석 기능을 갖춰 불필요한 시간과 비용을 줄임으로써 마이크로어레이 연구에 도움을 주고자 통합 분석관리 시스템 cMAMS (cDNA Microarray Analysis and Management System)를 개발하였다. 웹 기반으로 구현된 cMAMS는 데이터를 저장, 관리하는 부분과 데이터를 분석하는 부분, 그리고 모든 관련 점보가 저장되는 데이터베이스 부분으로 구성되어 있다 데이터관리부분에서는 WEMA의 계층적 데이터구조론 도입해 관리의 효율성을 높이고 시스템의 이용자를 시스템운영자, 프로젝트관리자, 일반사용자로 구분하여 데이터 접근을 제한함으로써 보안성을 높였다. 통계처리 언어 R로 구현된 데이터분석 부분은 7 단계의 다양한 분석(전처리 정규화, 가시화, 군집분석. 판별분석, 특이적 발현 유전자 선뿐, 마이크로어레이 간의 상판분석)이 가능하도록 구현하였고, 분석결과는 데이터베이스에 저장되어 추후에 검토 및 연구자간의 공유가 가능하도록 하였다. 데이터베이스는 실험정보가 저장된 데이터베이스, 분석결과가 저장된 데이터베이스, 그리고 유전자 정보 탐색을 위한 데이터베이스로 분류해 데이터를 효율적으로 관리할 수 있게 하였다. 본 시스템은 LiNUX를 운영체계로 하고 데이터베이스는 MYSQL로 하여 JSP, Perl. 통계처리 언어인 R로 구현되었다.

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