• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.24 no.1
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• pp.1-6
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• 2021

Next-generation sequencing (NGS) technologies have changed the process of genetic diagnosis from a gene-by-gene approach to syndrome-based diagnostic gene panel sequencing (DPS), diagnostic exome sequencing (DES), and diagnostic genome sequencing (DGS). A priori information on the causative genes that might underlie a genetic condition is a prerequisite for genetic diagnosis before conducting clinical NGS tests. Theoretically, DPS, DES, and DGS do not require any information on specific candidate genes. Therefore, clinical NGS tests sometimes detect disease-related pathogenic variants in genes underlying different conditions from the initial diagnosis. These clinical NGS tests are expensive, but they can be a cost-effective approach for the rapid diagnosis of rare disorders with genetic heterogeneity, such as the glycogen storage disease, familial intrahepatic cholestasis, lysosomal storage disease, and primary immunodeficiency. In addition, DES or DGS may find novel genes that that were previously not linked to human diseases.

• BMB Reports
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• v.55 no.2
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• pp.81-86
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• 2022

Macrophages are a major cellular component of innate immunity and are mainly known to have phagocytic activity. In the tumor microenvironment (TME), they can be differentiated into tumor-associated macrophages (TAMs). As the most abundant immune cells in the TME, TAMs promote tumor progression by enhancing angiogenesis, suppressing T cells and increasing immunosuppressive cytokine production. N-myc downstream-regulated gene 2 (NDRG2) is a tumor suppressor gene, whose expression is down-regulated in various cancers. However, the effect of NDRG2 on the differentiation of macrophages into TAMs in breast cancer remains elusive. In this study, we investigated the effect of NDRG2 expression in breast cancer cells on the differentiation of macrophages into TAMs. Compared to tumor cell-conditioned medium (TCCM) from 4T1-mock cells, TCCM from NDRG2-over-expressing 4T1 mouse breast cancer cells did not significantly change the morphology of RAW 264.7 cells. However, TCCM from 4T1-NDRG2 cells reduced the mRNA levels of TAM-related genes, including MR1, IL-10, ARG1 and iNOS, in RAW 264.7 cells. In addition, TCCM from 4T1-NDRG2 cells reduced the expression of TAM-related surface markers, such as CD206, in peritoneal macrophages (PEM). The mRNA expression of TAM-related genes, including IL-10, YM1, FIZZ1, MR1, ARG1 and iNOS, was also downregulated by TCCM from 4T1-NDRG2 cells. Remarkably, TCCM from 4T1-NDRG2 cells reduced the expression of PD-L1 and Fra-1 as well as the production of GM-CSF, IL-10 and ROS, leading to the attenuation of T cell-inhibitory activity of PEM. These data showed that compared with TCCM from 4T1-mock cells, TCCM from 4T1-NDRG2 cells suppressed the TAM differentiation and activation. Collectively, these results suggest that NDRG2 expression in breast cancer may reduce the differentiation of macrophages into TAMs in the TME.

• Korean Journal of Clinical Laboratory Science
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• v.56 no.1
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• pp.10-20
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• 2024

RNA-sequencing (RNA-seq) is a technique used for providing global patterns of transcriptomes in samples. However, it can only provide the average gene expression across cells and does not address the heterogeneity within the samples. The advances in single-cell RNA sequencing (scRNA-seq) technology have revolutionized our understanding of heterogeneity and the dynamics of gene expression at the single-cell level. For example, scRNA-seq allows us to identify the cell types in complex tissues, which can provide information regarding the alteration of the cell population by perturbations, such as genetic modification. Since its initial introduction, scRNA-seq has rapidly become popular, leading to the development of a huge number of bioinformatic tools. However, the analysis of the big dataset generated from scRNA-seq requires a general understanding of the preprocessing of the dataset and a variety of analytical techniques. Here, we present an overview of the workflow involved in analyzing the scRNA-seq dataset. First, we describe the preprocessing of the dataset, including quality control, normalization, and dimensionality reduction. Then, we introduce the downstream analysis provided with the most commonly used computational packages. This review aims to provide a workflow guideline for new researchers interested in this field.

• The Microorganisms and Industry
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• v.12 no.1
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• pp.4-8
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• 1986

DNA is a flexible molecule that adopts a variety of conformations. Left-handed helices have been demonstrated in synthetic DNA polymers (reviewed in Ref.1-2) and in segments of DNA restriction fragments (3) and recombinant plasmids (4-8). Other DNA conformations such as cruci forms and bent structures have also been demonstrated. Thus DNA micro heterogeneity has been demonstrated in a variety of systems (9-11). The role of the static and dynamic structures and properties of DNA in gene expression has been reviewed(1,12).

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.6
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• pp.2833-2836
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• 2012

Aim: Gastric cancer is the third most frequent cause of cancer mortality worldwide. In Iran, it is one of the leading causes at the national level. Localized at chromosome 8q22, the human MTDH gene has been reported to be over-expressed in a spectrum of malignancies. However, since there is a lack of data concerning with expression in gastric cancer at the transcriptional level, in this study we evaluated MTDH expression in Iranian cases. Methods: Totally, thirty paired gastric samples were examined by quantitative real-time RT-PCR. Results: Although the mRNA expression was significantly elevated in 46.6% of the examined tumor tissues; its expression was low in others (36.6%). Moreover, there was only a marginal statistical difference between the MTDH gene expression of all tumor specimens compared to their paired non-tumor ones and no statistically significant association with the grades and types of the tumors. Conclusion: Taken together, our results demonstrated that expression of MTDH at the transcriptional level may be increased in gastric cancer tissue samples but with considerable heterogeneity. Due to this, it may have the potential to be used as a target for diagnostic/therapeutic purposes only in a subset of patients.

• Korean Journal of Veterinary Research
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• v.58 no.3
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• pp.143-146
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• 2018

The capsid protein of porcine circovirus type 2 (PCV2) encoded by open reading frame 2 (ORF2) is important for neutralizing activity against PCV2 infection. This study investigated the heterogeneity of the ORF2 gene of PCV2 isolated in Korea during 2016-2017. The results revealed that PCV2d is currently the predominant genotype. Moreover, comparison of ORF2 from 17 PCV2 isolates revealed 88.3-100% homology at the nucleotide (deduced amino acid 86.3-100%) level. Interestingly, 61.5% (8/13) of the PCV2d isolates had glycine at position 210. These data provide a useful information for PCV2 epidemiology in Korea.

• Genomics & Informatics
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• v.6 no.1
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• pp.29-31
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• 2008

Single nucleotide polymorphisms (SNPs) in the promoter region of the IL-1B (interleukin-1) gene have been implicated in a variety of diseases that have an inflammatory component. However, there has been significant heterogeneity among study results, especially between Caucasian and Asian populations. Recently, it has been reported that SNPs in the IL-1B gene affect transcription, according to haplotype context, and genetic association studies may be more informative if functional SNP haplotypes of population are analyzed. Therefore, we estimated the distribution of IL-1B promoter haplotypes in 433 Koreans using the three major functional IL-1B promoter SNPs (IL-1B -1464, -511, and -31) and compared the results with those in Caucasians. The difference in IL-1B promoter haplotype frequency between Korean and Caucasian populations was statistically significant. The potentially more inflammatory haplotypes had higher frequencies in Koreans when compared with Caucasians. These Korean haplotype data will be useful for future association studies between IL-1B SNPs and disease risk.

• Genomics & Informatics
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• v.5 no.3
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• pp.124-128
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• 2007

Microarray technology enables us to measure the expression of tens of thousands of genes simultaneously under various experimental conditions. Clustering analysis is one of the most successful methods for analyzing microarray data using the assumption that co-expressed genes may be co-regulated. It is important to extract meaningful clusters from a long unordered list of clusters and to evaluate the functional homogeneity and heterogeneity of clusters. Many quality measures for clustering results have been suggested in different conditions. In the present study, we consider biological pathways as a collection of biological knowledge and used them as a reference for measuring the quality of clustering results and functional homogeneities. PathTalk visualizes and evaluates functional relationships between gene clusters and biological pathways.

• Animal cells and systems
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• v.10 no.2
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• pp.65-71
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• 2006

Autosomal Dominant Polycystic Kidney Disease (ADPKD) is one of the most common inherited renal disorders in the world. Mutations in PKD1 located on chromosome 16p13.3 are responsible for 85% of all the ADPKD patients whereas mutations in PKD2 on chromosome 4q21-23 are responsible for the rest of the cases. Genetic heterogeneity and the problems of mutation detection in PKD1 suggest that linkage analysis is an important approach to study the genetics of ADPKD. To evaluate the availability of six (CA)n microsatellite markers for the linkage analysis of ADPKD in the Korean population, we examined the allele frequencies and heterozygosities of the markers. With the exception of KG8, five markers were highly informative, with PIC values over 0.5, but the PIC value of KG8 marker was less informative than other five markers because of the low number of alleles. Therefore, this study will be useful in linkage analysis for ADPKD families in the Korean population.

• Environmental Mutagens and Carcinogens
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• v.22 no.1
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• pp.47-53
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• 2002

Essential hypertension is complex disorder influenced by multiple genetic and environmental factors. Alterations of lipid metabolism in plasma have been reported to be related to an increased risk of essential hypertension. The aim of this study was to investigate the relationship between two SNPs of the human LDL receptor and CETP gene and hypertension in Korean population. There were no significant differences in allele and genotype frequencies of two SNPs in normotensives and hypertensives. With respect to Hinc II RFLP in the LDL receptor gene, pooled odds ratio value indicated the significant heterogeneity among populations studied by meta-analysis (Breslow-Day test df = 2, P<0.05). In the case of Bam HI RFLP in the CETP gene,. our study is the first report of an association between the SNP of the CETP gene and hypertension, although our result failed to demonstrate the significant association between the Bam HI RFLP of the CETP gene and hypertension in Korean population. Further work, using larger sample sizes and various ethnic groups, is required to establish the precise role of these two candidate gene polymorphisms on hypertension.