• Asian Pacific Journal of Cancer Prevention
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• v.17 no.9
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• pp.4405-4408
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• 2016

Background: To investigate the characteristics of allelic distribution of IGF2 and H19 gene polymorphisms in molar tissues compared to normal placentas. Materials and Methods: Forty-nine specimens of molar tissues as well as 100 control normal placental tissues, delivered on the same days, were collected. Polymerase chain reaction (PCR) with restriction fragment length polymorphism (RFLP) on 2% agarose gel electrophoresis was conducted to determine the allelic distribution. The ApaI polymorphism within exon 9 of IGF2 and the RsaI polymorphism within exon 5 of H19 were employed to identify the allelic distribution of the IGF2 and H19 genes, respectively. Then the data for these genes in the molar and normal placenta tissues were compared. Results: The allelic distribution of IGF2 genes found in molar tissue were 21 (42.9%) aa (undigested), 10 (20.4%) ab (heterozygous) and 18 (36.7%) bb (digested), while in normal placenta tissue the values were 22 (22%) aa, 51 (51%) ab, and 27 (27%) bb. The allelic distribution of H19 in molar tissues was 8 (16.2%) aa (undigested), 8 (16.3%) ab (heterozygous) and 33 (67.4%) bb (digested) and in normal placental tissue was 16 (16%) aa, 36 (36%) ab and 48 (48%) bb in normal placenta tissue. These results were significantly different with P values of 0.001 and 0.037 for the allelic distribution of IGF2 and H19, respectively. Conclusions: Molar tissues showed significant differences of allelic distribution of IGF2 and H19 from normal placenta tissues.

• Molecules and Cells
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• v.19 no.3
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• pp.365-374
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• 2005

To find potential targets of novel antimicrobial agents, we identified essential genes of Streptococcus pneumoniae using comparative genomics and allelic replacement mutagenesis. We compared the genome of S. pneumoniae R6 with those of Bacillus subtilis, Enterococcus faecalis, Escherichia coli, and Staphylococcus aureus, and selected 693 candidate target genes with > 40% amino acid sequence identity to the corresponding genes in at least two of the other species. The 693 genes were disrupted and 133 were found to be essential for growth. Of these, 32 encoded proteins of unknown function, and we were able to identify orthologues of 22 of these genes by genomic comparisons. The experimental method used in this study is easy to perform, rapid and efficient for identifying essential genes of bacterial pathogens.

• Journal of Microbiology and Biotechnology
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• v.16 no.4
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• pp.623-632
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• 2006

To find potential targets of novel antimicrobial agents, we identified essential genes of Staphylococcus aureus N315 by using comparative genomics and allele replacement mutagenesis. By comparing the genome of S. aureus N315 with those of Bacillus subtilis, Enterococcus faecalis, Escherichia coli, Pseudomonas aeruginosa, and Streptococcus pneumoniae, a total of 481 candidate target genes with similar amino acid sequences with at least three other species by >40% sequence identity were selected. of 481 disrupted candidate genes, 122 genes were identified as essential genes for growth of S. aureus N315. Of these, 51 essential genes were those not identified in any bacterial species, and 24 genes encode proteins of unknown function. Seventeen genes were determined as non-essential although they were identified as essential genes in other strain of S. aureus and other species. We found no significant difference among essential genes between Streptococcus pneumoniae and S. aureus with regard to cellular function.

• Proceedings of the KSAR Conference
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• 2002.06a
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• pp.68-68
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• 2002

Positional cloning of hereditary deafness genes is a direct approach to identify molecules and mechanisms underlying auditory function. Nowadays many deafness genes are newly identified by finding the locus for the causative genes. Mutations at many different loci in humans and mice are known to cause hearing impairment. Mouse mutants exhibiting deafness may be useful in identifying some of genes involved. (omitted)

• Korean Journal of Veterinary Research
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• v.28 no.2
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• pp.299-305
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• 1988

The phenotypes of hemoglobin, albumin and transferrin of 3U2 Jindo dogs in Jindo area were studied by starch gel electrophoresis for hemoglobin and albumin, and by polyacrylamide gradient gel electrophoresis for transferrin. The results obtained were as follows: 1. In the hemoglobin phenotypes, three phenotypes, HbAA, HbAB and HbBB, which were controlled by two allelic genes, $Hb^A$ and $Hb^B$, were observed and their frequencies of appearance were 1.65%, 10.60% and 87.75% respectively. The distribution of gene frequency was calculated as 0.0695 in $Hb^A$ and 0.9305 in $Hb^B$. 2. In the albumin phenotypes, three phenotypes, Alb FF, Alb FS and Alb SS, which were controlled by two allelic genes, $AIb^F$ and $AIb^S$ were observed and their frequencies of appearance were 12.59%, 25.56% and 61.85% respectively. The distribution of gene frequency was calculated as 0.2537 in $AIb^F$ and 0.7463 in $AIb^S$. 3. Analysis of transferrin phenotypes showed 6 different types which were controlled by three allelic genes, $Tf^B$, $Tf^C$ and $Tf^D$ and their frequencies of appearance were 54.04% in TfBB, 17.54% in TfBC, 9.82% in TfBD, 8.07% in TfCC, 7.37% in TfCD and 3.16% in TfDD. The distribution of gene frequency was calculated as 0.6772 in $Tf^B$, 0.2053 in $Tf^C$ and 0.1175 in $Tf^D$.

• Korean Journal of Veterinary Research
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• v.31 no.2
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• pp.163-166
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• 1991

The hemoglobin phenotypes and the gene frequencies of 223 Cheju native horses were studied by starch gel electrophoresis. The results obtained were as follows: 1. In the hemoglobin phenotypes, three phenotypes, HbAA, HbAa and Hbaa, which were controlled by two allelic genes. $Hb^A$ and $Hb^a$, were observed and their frequencies of appearance were 65.47%, 30.04% and 4.48% respectively. 2. The distribution of gene frequency was calculated as 0.805 in $Hb^A$ and 0.195 in $Hb^a$.

• Korean Journal of Veterinary Research
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• v.31 no.2
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• pp.167-170
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• 1991

The catalase phenotypes and the gene frequencies in erythrocyte of 223 Cheju native horses were studied by starch gel electrophoresis. The results obtained were as follows: 1. In the catalase phenotypes, three phenotypes, CatF, CatM and CatS, which were controlled by two allelic genes, $Cat^F$ and $Cat^S$, were observed and their frequencies of appearance were 24.21%, 47.53%, and 28.25% respectively. 2. The distribution of gene frequency was calculated as 0.480 in $Cat^F$ and 0.520 in $Cat^S$.

• Communications for Statistical Applications and Methods
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• v.22 no.2
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• pp.181-199
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• 2015

In a short history, RNA-seq data have established a revolutionary tool to directly decode various scenarios occurring on whole genome-wide expression profiles in regards with differential expression at gene, transcript, isoform, and exon specific quantification, genetic and genomic mutations, and etc. RNA-seq technique has been rapidly replacing arrays with seq-based platform experimental settings by revealing a couple of advantages such as identification of alternative splicing and allelic specific expression. The remarkable characteristics of high-throughput large-scale expression profile in RNA-seq are lied on expression levels of read counts, structure of correlated samples and genes, larger number of genes compared to sample size, different sampling rates, inevitable systematic RNA-seq biases, and etc. In this study, we will comprehensively review how robust Bayesian and non-parametric methods have a better performance than classical statistical approaches by explicitly incorporating such intrinsic RNA-seq specific features with flexible and more appropriate assumptions and distributions in practice.

• The Journal of the Korean Society for Microbiology
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• v.21 no.2
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• pp.171-179
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• 1986

The HLA class II region encodes a series of polymorphic glycoproteins that form cell surface heterodimers each consisting of one $\alpha$ and one $\beta$ chain. Thess class II molecules are encoded by genes clustered within three loci. DP, DQ, and DR are functfonally implicated as regulatory signals in intercellular communication during the immune resposes. The phenotypic hallmark of the HLA complex is a high degree of structural and functional polymorphism. Detailed analysis. of such polymorphisms should aid in understanding the molecular basis for associations between HLA and diseases. We have used techniques of restriction enzyme fragment analysis by Southern blotting to investigate polymorphisms associated with DQ $\beta$ class II genes on haplotypes expressing the HLA-DR4 and -DQw3 specificities. The endonucleases Hind III and Bam HI were used to identify a specific DQ $\beta$ genomic polymorphism that precisely corrresponds with the reactivity of a monoclonal antibody A-10-83, previously shown to define a serologic split of DQw3. This study identifies two allelic DQ va. riants. DQw3.1 and DQw3.2. We used these specific genotypic markers to investigate the genomic basis of the association of DR4 with insulin-dependent diabetes mellitus(IDDM) and seropositive juvenile rheumatoid arthritis(JRA). The DR4 positive IDDM demonstrate the predominant expression of DQw3.2 and the very rare expression of DQw3.l. However, in haplotype matched siblings from two IDDM families, all of the DR4 positive siblings display a IDDM-associated DQw3.2 allele. Thus, both affected and healthy individuals can carry the same haplotypes and genomic markers, demonstrating that thess specific allelic variants are genetic elements that indicate a increased risk of IDDM but are not in fact disease specific. We contrasted this result with a similar analysis of patients with another DR4-associated disease, JRA. In contrast to the preponderance of the DQw3.2 allele in IDDM, the JRA patients expressed either the DQw3.1 or the DQw3.2 allele and sometimes both, without apparent association with disease expession. The different genomic markers reported here within HLA-DQ region potentially an analysis of HLA-associated function and disease susceptibility.

• Mycobiology
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• v.45 no.4
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• pp.379-384
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• 2017

In mating of Lentinula edodes, dikaryotic strains generated from certain monokaryotic strains such as the B2 used in this study tend to show better quality of fruiting bodies regardless of the mated monokaryotic strains. Unlike B2, dikaryotic strains generated from B16 generally show low yields, with deformed or underdeveloped fruiting bodies. This indicates that the two nuclei in the cytoplasm do not contribute equally to the physiology of dikaryotic L. edodes, suggesting an expression bias in the allelic genes of the two nuclei. To understand the role of each nucleus in dikaryotic strains, we investigated single nucleotide polymorphisms (SNPs) in laccase genes of monokaryotic strains to reveal nuclear origin of the expressed mRNAs in dikaryotic strain. We performed reverse transcription PCR (RT-PCR) analysis using total RNAs extracted from dikaryotic strains (A5B2, A18B2, and A2B16) as well as from compatible monokaryotic strains (A5, A18, and B2 for A5B2 and A18B2; A2 and B16 for A2B16). RT-PCR results revealed that Lcc1, Lcc2, Lcc4, Lcc7, and Lcc10 were the mainly expressed laccase genes in the L. edodes genome. To determine the nuclear origin of these laccase genes, the genomic DNA sequences in monokaryotic strains were analyzed, thereby revealing five SNPs in Lcc4 and two in Lcc7. Subsequent sequence analysis of laccase mRNAs expressed in dikaryotic strains revealed that these were almost exclusively expressed from B2-originated nuclei in A5B2 and A18B2 whereas B16 nucleus did not contribute to laccase expression in A2B16 strain. This suggests that B2 nucleus dominates the expression of allelic genes, thereby governing the physiology of dikaryons.