• 제목/요약/키워드: Gene organization

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Genetic Characterization of the Urease Gene Cluster in Photobacterium sp. Strain HA-2 Isolated from Seawater (해수에서 분리한 Photobacterium sp. Strain HA-2가 보유하는 요소분해효소 유전자의 유전적 특징)

  • Kim, Tae Ok;Park, Kwon Sam
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.48 no.5
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    • pp.639-643
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    • 2015
  • In this study, we cloned and sequenced the 15,204-bp DNA region containing the gene cluster for urease production from the chromosome of the environmental Photobacterium sp. strain HA-2. We identified 15 open reading frames (ORFs) and the G+C content was 40.3%. The urease gene cluster of Photobacterium sp. strain HA-2 consisted of seven genes, namely, ureDABCEF and ureG. There were five ORFs of urease genes in the opposite direction, which were homologous to the nickel transport operons (nik) of Vibrio parahaemolyticus and Escherichia coli. The genetic organization and sequences of the urease genes of Photobacterium sp. strain HA-2 resembled those found in Vibrio fischeri and V. parahaemolyticus.

Relevance Epistasis Network of Gastritis for Intra-chromosomes in the Korea Associated Resource (KARE) Cohort Study

  • Jeong, Hyun-hwan;Sohn, Kyung-Ah
    • Genomics & Informatics
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    • v.12 no.4
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    • pp.216-224
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    • 2014
  • Gastritis is a common but a serious disease with a potential risk of developing carcinoma. Helicobacter pylori infection is reported as the most common cause of gastritis, but other genetic and genomic factors exist, especially single-nucleotide polymorphisms (SNPs). Association studies between SNPs and gastritis disease are important, but results on epistatic interactions from multiple SNPs are rarely found in previous genome-wide association (GWA) studies. In this study, we performed computational GWA case-control studies for gastritis in Korea Associated Resource (KARE) data. By transforming the resulting SNP epistasis network into a gene-gene epistasis network, we also identified potential gene-gene interaction factors that affect the susceptibility to gastritis.

Genetic Architecture of Transcription and Chromatin Regulation

  • Kim, Kwoneel;Bang, Hyoeun;Lee, Kibaick;Choi, Jung Kyoon
    • Genomics & Informatics
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    • v.13 no.2
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    • pp.40-44
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    • 2015
  • DNA microarray and next-generation sequencing provide data that can be used for the genetic analysis of multiple quantitative traits such as gene expression levels, transcription factor binding profiles, and epigenetic signatures. In particular, chromatin opening is tightly coupled with gene transcription. To understand how these two processes are genetically regulated and associated with each other, we examined the changes of chromatin accessibility and gene expression in response to genetic variation by means of quantitative trait loci mapping. Regulatory patterns commonly observed in yeast and human across different technical platforms and experimental designs suggest a higher genetic complexity of transcription regulation in contrast to a more robust genetic architecture of chromatin regulation.

A Primer for Disease Gene Prioritization Using Next-Generation Sequencing Data

  • Wang, Shuoguo;Xing, Jinchuan
    • Genomics & Informatics
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    • v.11 no.4
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    • pp.191-199
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    • 2013
  • High-throughput next-generation sequencing (NGS) technology produces a tremendous amount of raw sequence data. The challenges for researchers are to process the raw data, to map the sequences to genome, to discover variants that are different from the reference genome, and to prioritize/rank the variants for the question of interest. The recent development of many computational algorithms and programs has vastly improved the ability to translate sequence data into valuable information for disease gene identification. However, the NGS data analysis is complex and could be overwhelming for researchers who are not familiar with the process. Here, we outline the analysis pipeline and describe some of the most commonly used principles and tools for analyzing NGS data for disease gene identification.

Review of Biological Network Data and Its Applications

  • Yu, Donghyeon;Kim, MinSoo;Xiao, Guanghua;Hwang, Tae Hyun
    • Genomics & Informatics
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    • v.11 no.4
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    • pp.200-210
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    • 2013
  • Studying biological networks, such as protein-protein interactions, is key to understanding complex biological activities. Various types of large-scale biological datasets have been collected and analyzed with high-throughput technologies, including DNA microarray, next-generation sequencing, and the two-hybrid screening system, for this purpose. In this review, we focus on network-based approaches that help in understanding biological systems and identifying biological functions. Accordingly, this paper covers two major topics in network biology: reconstruction of gene regulatory networks and network-based applications, including protein function prediction, disease gene prioritization, and network-based genome-wide association study.

Characterization of Structural Variations in the Context of 3D Chromatin Structure

  • Kim, Kyukwang;Eom, Junghyun;Jung, Inkyung
    • Molecules and Cells
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    • v.42 no.7
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    • pp.512-522
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    • 2019
  • Chromosomes located in the nucleus form discrete units of genetic material composed of DNA and protein complexes. The genetic information is encoded in linear DNA sequences, but its interpretation requires an understanding of three-dimensional (3D) structure of the chromosome, in which distant DNA sequences can be juxtaposed by highly condensed chromatin packing in the space of nucleus to precisely control gene expression. Recent technological innovations in exploring higher-order chromatin structure have uncovered organizational principles of the 3D genome and its various biological implications. Very recently, it has been reported that large-scale genomic variations may disrupt higher-order chromatin organization and as a consequence, greatly contribute to disease-specific gene regulation for a range of human diseases. Here, we review recent developments in studying the effect of structural variation in gene regulation, and the detection and the interpretation of structural variations in the context of 3D chromatin structure.

The Hairless Gene: A Putative Navigator of Hair Follicle Development

  • Kim, Jeong-Ki;Kim, Bong-Kyu;Park, Jong-Keun;Choi, Jee-Hyun;KimYoon, Sung-Joo
    • Genomics & Informatics
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    • v.9 no.3
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    • pp.93-101
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    • 2011
  • The Hairless (HR ) gene regulates the expression of several target genes as a transcriptional corepressor of nuclear receptors. The hair follicle (HF), a small independent organ of the skin, resides in the epidermis and undergoes regenerative cycling for normal hair formation. HF development requires many genes and signaling pathways to function properly in time and space, one of them being the HR gene. Various mutations of the HR gene have been reported to cause the hair loss pheno-type in rodents and humans. In recent studies, it has been suggested that the HR gene is a critical player in the regulation of the hair cycle and, thus, HF development. Furthermore, the HR gene is associated with the Wnt signaling pathway, which regulates proliferation and differentiation of cells and plays an essential role in hair and skin development. In this review, we summarize the mutations responsible for human hair disorders and discuss the roles of the HR gene in HF development.

Identification of key genes and functional enrichment analysis of liver fibrosis in nonalcoholic fatty liver disease through weighted gene co-expression network analysis

  • Yue Hu;Jun Zhou
    • Genomics & Informatics
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    • v.21 no.4
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    • pp.45.1-45.11
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    • 2023
  • Nonalcoholic fatty liver disease (NAFLD) is a common type of chronic liver disease, with severity levels ranging from nonalcoholic fatty liver to nonalcoholic steatohepatitis (NASH). The extent of liver fibrosis indicates the severity of NASH and the risk of liver cancer. However, the mechanism underlying NASH development, which is important for early screening and intervention, remains unclear. Weighted gene co-expression network analysis (WGCNA) is a useful method for identifying hub genes and screening specific targets for diseases. In this study, we utilized an mRNA dataset of the liver tissues of patients with NASH and conducted WGCNA for various stages of liver fibrosis. Subsequently, we employed two additional mRNA datasets for validation purposes. Gene set enrichment analysis (GSEA) was conducted to analyze gene function enrichment. Through WGCNA and subsequent analyses, complemented by validation using two additional datasets, we identified five genes (BICC1, C7, EFEMP1, LUM, and STMN2) as hub genes. GSEA analysis indicated that gene sets associated with liver metabolism and cholesterol homeostasis were uniformly downregulated. BICC1, C7, EFEMP1, LUM, and STMN2 were identified as hub genes of NASH, and were all related to liver metabolism, NAFLD, NASH, and related diseases. These hub genes might serve as potential targets for the early screening and treatment of NASH.

Paralytic Peptide Binding Protein (PP-BP) Gene Expression During Egg Diapause and Its Multi-Gene Organization in the Silkworm Bombyx mori

  • Sirigineedi, Sasibhushan;Murthy, Geetha N.;Rao, Guruprasada;Ponnuvel, Kangayam M.
    • International Journal of Industrial Entomology and Biomaterials
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    • v.26 no.1
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    • pp.31-40
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    • 2013
  • Paralytic peptide binding proteins (PP-BP) are 30KP proteins that show similarity to ENF binding proteins. The ENF-BP act as active regulators of ENF peptides. ENF peptides are multifunctional insect cytokines. The comparison of gene expression in diapause induced and non-diapause eggs at different time intervals after oviposition showed an upregulation of PP at 18h as well as PP-BP at 12 and 18h after oviposition along with few other genes. The current study has been taken up to investigate the role of PP as well as PP-BP in diapause induction in polyvoltine silkworms and to study the multigene organization of PP-BP in the Bombyx mori genome. The tissue specific expression analysis revealed that, PP-BP is highly expressed in fat body followed by egg and brain while no expression was observed in midgut. The expression levels of PP and PP-BP in diapause and non-diapause eggs from 0h to 48h after oviposition, validated through realtime PCR revealed that PP is highly expressed at 18 and 24h while PP-BP expression is higher at 12 and 18h time intervals suggesting their possible role in diapause induction. The whole genome survey of the PP-BP paralogous sequences revealed a total of 46 B. mori PP-BP homologs that are classified into 3 categories viz., ENF-BP, Typical 30KPs and serine/threonine rich 30KPs. These paralogous sequences are distributed on chromosomes 7, 20, 22 and 24, all 30KP and S/T rich 30KP proteins are present in the same locus of chromosome 20.

Characterization of the pcbE Gene Encoding 2-Hydroxypenta-2,4-Dienoate Hydratase in Pseudomonas sp. DJ-12

  • Lim, Jong-Chul;Lee, Jeongrai;Jang, Jeong-Duk;Lim, Jai-Yun;Min, Kyung-Rak;Kim, Chi-Kyung;Kim, Young-Soo
    • Archives of Pharmacal Research
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    • v.23 no.2
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    • pp.187-195
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    • 2000
  • Nucleotide sequence extending 2,3-dihydroxybiphenyl 1,2-dioxygenase gene (pcbC) and 2-hydroxy-6-oxo-6-phenylhexa-2,4-dienoate hydrolase gene (pcbD) of Pseudomonas sp. DJ-12 was previously analyzed and the two genes were present in the order of pcbD-pcbC preceded by a promoter from Pseudomonas sp. DJ-12. In this study, a 3.8-kb nucleotide sequence located downstream of the pcbC gene was analyzed to have three open reading frames (ORFs) that are designated as orf1, pcbE and orf2 genes. All of the ORFs were preceded by each ribosome-binding sequence of 5-GGAXA-3 (X=G or A). However, no promoter-like sequence and transcription terminator sequence were found in the analyzed region, downstream of pcbC gene. Therefore, the gene cluster appeared to be present in the order of pcbD-pcbC-orf1-pcbE-orf2 as an operon, which is unique organization characterized so far in biphenyl- and PCB-degrading bacteria. The orf1 gene was composed of 1,224 base pairs which can encode a polypeptide of molecular weight 44,950 containing 405 amino acid residues. A deduced amino acid sequence of the orf1 gene product exhibited 21-33% identity with those of indole dioxygenase and phenol hydroxylase components. The pcbE gene was composed of 783 base pairs encoding 2-hydroxypenta-2,4-dienoate hydratase involved in the 4-chlorobiphenyl catabolism. The orf2 gene was composed of 1,017 base pairs encoding a polypeptide of molecular weight 37,378 containing 338 amino acid residues. A deduced amino acid sequence of the orf2 gene product exhibited 31% identity with that of a nitrilotriacetate monooxygenase component.

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