• 대한의생명과학회지
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• 제20권4호
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• pp.221-226
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• 2014

High-density lipoprotein (HDL) cholesterol levels are associated with decreased risk of coronary artery disease. Several genome-wide association studies (GWAS) for HDL cholesterol levels have implicated Lipoprotein lipase (LPL) as possibly being causal. Herein, the association between single nucleotide polymorphism (SNP) rs10503669 in the LPL gene and HDL cholesterol levels and triglyceride levels was tested in the Korean population. A total of 994 subjects from Seoul City were included in a replication study with LPL SNP rs10503669. SNP rs10503669 in the LPL gene was associated with mean HDL cholesterol levels (effect per allele 3.13 mg/dL, P<0.0001) and triglyceride levels (effect per allele -18.0 mg/dL, P=0.0026). Subjects with the CA/AA genotype had a 0.42-fold (range 0.23~0.77-fold) lower risk of having abnormal HDL cholesterol levels (<40 mg/dL) than subjects with the CC genotype. When analyzed by gender, the association of LPL was stronger in men than in women. This study clearly demonstrates that genetic variants in LPL influence HDL cholesterol levels and triglyceride levels in Korean adults.

• 대한의생명과학회지
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• 제26권3호
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• pp.238-243
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• 2020

Tuberculosis is a global public health problem and manifests itself as a difference in the genetic susceptibility of the host, along with the properties of Mycobacterium tuberculosis (MTB). The single nucleotide polymorphisms (SNPs) and candidate genes proposed in the Genome-wide association study (GWAS) on tuberculosis in a recently published Chinese population were reported. In this study, we investigated whether the genetic polymorphism of candidate genes related to tuberculosis is reproduced when targeting Koreans. The CLCN6 (rs12404124, rs198391, rs535107), DOK7 (rs1203104, rs1203103) and HLA-DRA (rs1051336) gene polymorphisms showed statistically significant results. In addition, it was also found whether it acts as an expression quantitative trait loci (eQTL) that can influence gene expression. This study confirmed that the genetic polymorphism of the three genes (CLCN6, DOK7, HLA-DRA) affects the development of tuberculosis and will help to understand the genetic specificity of tuberculosis and the interaction between pathogens and hosts.

• Journal of Plant Biotechnology
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• 제5권4호
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• pp.193-195
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• 2003

A major goal of agricultural biotechnology is the discovery of genes or genetic loci which are associated with characteristics beneficial to crop production. This knowledge of genetic loci may then be applied to improve crop breeding. Agriculturally important genes may also benefit crop production through transgenic technologies. Recent years have seen an application of high throughput technologies to agricultural biotechnology leading to the production of large amounts of genomic data. The challenge today is the effective structuring of this data to permit researchers to search, filter and importantly, make robust associations within a wide variety of datasets. At the Plant Biotechnology Centre, Primary Industries Research Victoria in Melbourne, Australia, we have developed a series of tools and computational pipelines to assist in the processing and structuring of genomic data to aid its application to agricultural biotechnology resear-ch. These tools include a sequence database, ASTRA, for the processing and annotation of expressed sequence tag data. Tools have also been developed for the discovery of simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) molecular markers from large sequence datasets. Application of these tools to Brassica research has assisted in the production of genetic and comparative physical maps as well as candidate gene discovery for a range of agronomically important traits.

• Molecular & Cellular Toxicology
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• 제5권1호
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• pp.1-6
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• 2009

Microglial cells constitute the first line of defense against infection and injury in the brain. This study was conducted to evaluate the protective mechanisms of Agrimonia pilosa (AP) on LPS-induced activation of BV-2 microglial cells. The effects of AP on gene expression profiles in activated BV-2 microglial cells were evaluated using microarray analysis. BV-2 microglial cells were cultured in a 100 mm dish ($1{\times}10^7/mL$) for 24 hr and then pretreated with 1 g/mL AP or left untreated for 30 min. Next, 1 g/mL LPS was added to the samples and the cells were reincubated at $37^{\circ}C$ for 30 min, 3 hr and 6 hr. The gene expression profiles of the BV-2 microglial cells varied depending on the AP. The microarray analysis revealed that MAPK signaling pathway-related genes were down-regulated and IL10 gene was up-regulated in AP-treated BV-2 microglial cells. AP can affect the inflammatory response and MAPK pathway in BV-2 microglial cells.

• Molecules and Cells
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• 제24권1호
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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.

• Asian-Australasian Journal of Animal Sciences
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• 제31권9호
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• pp.1415-1419
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• 2018

Objective: To estimate effect of single nucleotide polymorphisms on the intramuscular fat content (IMF) of Hungarian Simmental bulls. Methods: Genotypes were determined on high-density Illumina Bovine DNA Chip. After slaughtering of animals, chemical percentage of intramuscular fat was determined from longissimus dorsi muscle. A multi-locus mixed-model was applied for statistical analyses. Results: Analyses revealed four loci (rs43284251, rs109210955, rs41630030, and rs41642251) to be highly associated ($-{\log}_{10}P$>12) with IMF located on chromosome 1, 6, 13, and 17, respectively. The frequency of their minor alleles was 0.426, 0.221, 0.162, and 0.106. Conclusion: The loci above can be useful in selection programs and gives the possibility to assist selection by molecular tools.

• Asian Pacific Journal of Cancer Prevention
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• 제15권20호
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• pp.8957-8961
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• 2014

Background: Promoter hypermethylation leads to altered gene functions and may result in malignant cellular transformation. Thus, identification of biomarkers for hypermethylated genes could be useful for diagnosis, prognosis, and therapeutic treatment of oral squamous cell carcinoma (OSCC). Objectives: To screen hypermethylated genes with a microarray approach and to validate selected hypermethylated genes with the methylation-specific polymerase chain reaction (MSPCR). Materials and Methods: Genome-wide analysis of normal oral mucosa and OSCC tissues was conducted using the Illumina methylation microarray. The specified differential genes were selected and hypermethylation status was further verified with an independent cohort sample of OSCC samples. Candidate genes were screened using microarray assay and run by MSPCR analysis. Results: TP73, PIK3R5, and CELSR3 demonstrated high percentages of differential hypermethylation status. Conclusions: Our microarray screening and MSPCR approaches revealed that the signature candidates of differentially hypermethylated genes may possibly become potential biomarkers which would be useful for diagnostic, prognostic and therapeutic targets of OSCC in the near future.

• Asian Pacific Journal of Cancer Prevention
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• 제15권15호
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• pp.6211-6217
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• 2014

Previous genome-wide association studies (GWAS) have implicated several single nucleotide polymorphisms (SNPs) in the AT-rich interactive domain 5B (ARID5B) gene with childhood acute lymphoblastic leukemia (ALL). However, replicated studies reported some inconsistent results in different populations. Using meta-analysis, we here aimed to clarify the nature of the genetic risks contributed by the two polymorphisms (rs10994982, rs7089424) for developing childhood ALL. Through searches of PubMed, EMBASE, and manually searching relevant references, a total of 14 articles with 16 independent studies were included. Odds ratios (ORs) with 95% confidence intervals (95%CI) were calculated to assess the associations. Both SNPs rs10994982 and rs7089424 showed significant associations with childhood ALL risk in all genetic models after Bonferroni correction. Furthermore, subtype analyses of B-lineage ALL provided strong evidence that SNP rs10994982 is highly associated with the risk of developing B-hyperdiploid ALL. These results indicate that SNPs rs10994982 and rs7089424 are indeed significantly associated with increased risk of childhood ALL.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
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• pp.59-60
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• 2000

The past few years have seen a dramatic increase in gene expression data on the basis of DNA microarrays or DNA chips. Going beyond a generic view on the genome, microarray data are able to distinguish between gene populations in different tissues of the same organism and in different states of cells belonging to the same tissue. This affords a cell-wide view of the metabolic and regulatory processes under different conditions, building an effective basis for new diagnoses and therapies of diseases. In this talk we present machine learning techniques for effective mining of DNA microarray data. A brief introduction to the research field of machine learning from the computer science and artificial intelligence point of view is followed by a review of recently-developed learning algorithms applied to the analysis of DNA chip gene expression data. Emphasis is put on graphical models, such as Bayesian networks, latent variable models, and generative topographic mapping. Finally, we report on our own results of applying these learning methods to two important problems: the identification of cell cycle-regulated genes and the discovery of cancer classes by gene expression monitoring. The data sets are provided by the competition CAMDA-2000, the Critical Assessment of Techniques for Microarray Data Mining.

• BMB Reports
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• 제49권10호
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• pp.578-583
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• 2016

Special AT-rich sequence binding protein 1 (SATB1) is a nuclear matrix-associated DNA-binding protein that functions as a chromatin organizer. SATB1 is highly expressed in aggressive breast cancer cells and promotes growth and metastasis by reprograming gene expression. Through genome-wide cross-examination of gene expression and histone methylation, we identified SATB1 target genes for which expression is associated with altered epigenetic marks. Among the identified genes, long noncoding RNA urothelial carcinoma-associated 1 (UCA1) was upregulated by SATB1 depletion. Upregulation of UCA1 coincided with increased H3K4 trimethylation (H3K4me3) levels and decreased H3K27 trimethylation (H3K27me3) levels. Our study showed that SATB1 binds to the upstream region of UCA1 in vivo, and that its promoter activity increases with SATB1 depletion. Furthermore, simultaneous depletion of SATB1 and UCA1 potentiated suppression of tumor growth and cell survival. Thus, SATB1 repressed the expression of oncogenic UCA1, suppressing growth and survival of breast cancer cells.