• 제목/요약/키워드: Gene Database

검색결과 580건 처리시간 0.037초

A network pharmacology approach to explore the potential role of Panax ginseng on exercise performance

  • Kim, Jisu;Lee, Kang Pa;Kim, Myoung-Ryu;Kim, Bom Sahn;Moon, Byung Seok;Shin, Chul Ho;Baek, Suji;Hong, Bok Sil
    • 운동영양학회지
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    • 제25권3호
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    • pp.28-35
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    • 2021
  • [Purpose] As Panax ginseng C. A. Meyer (ginseng) exhibits various physiological activities and is associated with exercise, we investigated the potential active components of ginseng and related target genes through network pharmacological analysis. Additionally, we analyzed the association between ginseng-related genes, such as the G-protein-coupled receptors (GPCRs), and improved exercise capacity. [Methods] Active compounds in ginseng and the related target genes were searched in the Traditional Chinese Medicine Database and Analysis Platform (TCMSP). Gene ontology functional analysis was performed to identify biological processes related to the collected genes, and a compound-target network was visualized using Cytoscape 3.7.2. [Results] A total of 21 ginseng active compounds were detected, and 110 targets regulated by 17 active substances were identified. We found that the active compound protein was involved in the biological process of adrenergic receptor activity in 80%, G-protein-coupled neurotransmitter in 10%, and leucocyte adhesion to arteries in 10%. Additionally, the biological response centered on adrenergic receptor activity showed a close relationship with G protein through the beta-1 adrenergic receptor gene reactivity. [Conclusion] According to bioavailability analysis, ginseng comprises 21 active compounds. Furthermore, we investigated the ginseng-stimulated gene activation using ontology analysis. GPCR, a gene upregulated by ginseng, is positively correlated to exercise. Therefore, if a study on this factor is conducted, it will provide useful basic data for improving exercise performance and health.

Construction of a Novel Mitochondria-Associated Gene Model for Assessing ESCC Immune Microenvironment and Predicting Survival

  • Xiu Wang;Zhenhu Zhang;Yamin Shi;Wenjuan Zhang;Chongyi Su;Dong Wang
    • Journal of Microbiology and Biotechnology
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    • 제34권5호
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    • pp.1164-1177
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    • 2024
  • Esophageal squamous cell carcinoma (ESCC) is among the most common malignant tumors of the digestive tract, with the sixth highest fatality rate worldwide. The ESCC-related dataset, GSE20347, was downloaded from the Gene Expression Omnibus (GEO) database, and weighted gene co-expression network analysis was performed to identify genes that are highly correlated with ESCC. A total of 91 transcriptome expression profiles and their corresponding clinical information were obtained from The Cancer Genome Atlas database. A mitochondria-associated risk (MAR) model was constructed using the least absolute shrinkage and selection operator Cox regression analysis and validated using GSE161533. The tumor microenvironment and drug sensitivity were explored using the MAR model. Finally, in vitro experiments were performed to analyze the effects of hub genes on the proliferation and invasion abilities of ESCC cells. To confirm the predictive ability of the MAR model, we constructed a prognostic model and assessed its predictive accuracy. The MAR model revealed substantial differences in immune infiltration and tumor microenvironment characteristics between high- and low-risk populations and a substantial correlation between the risk scores and some common immunological checkpoints. AZD1332 and AZD7762 were more effective for patients in the low-risk group, whereas Entinostat, Nilotinib, Ruxolutinib, and Wnt.c59 were more effective for patients in the high-risk group. Knockdown of TYMS significantly inhibited the proliferation and invasive ability of ESCC cells in vitro. Overall, our MAR model provides stable and reliable results and may be used as a prognostic biomarker for personalized treatment of patients with ESCC.

벼 엽록체 DNA내의 151 bp 반복염기서열에 의한 유전자 재배열 (Gene Reangement through 151 bp Repeated Sequence in Rice Chloroplast DNA)

  • 남백희;김한집
    • Applied Biological Chemistry
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    • 제36권3호
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    • pp.208-214
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    • 1993
  • 엽록체 DNA 내에서 반복 염기서열의 존재와 이들에 의한 유전자 재배열 현상을 고찰하기 위하여 151bp Repeated Sequence 갖는 이질적인 유전인자군의 존재를 여러가지 품종의 벼 엽록체 DNA에서 관찰 하였다. 또한 쌀 DNA를 벼의 생장과 조직부위에 따라 분리하고, rp12 probe를 이용하여 Southern blot 분석하여 엽록체의 발달에 따르는 엽록체 DNA의 재배열 현상을 관찰하였다. 아울러 유전자 재배열 현상을 유발하는 반복염기서열을 database로부터 검색하여 유전자의 상호 비교 분석하였다. 그 결과 151bp Repeated Sequence와 유사한 염기 서열을 같는 rp123유전자를 포함하는 이질적인 유전인자군은 어느 특정한 품종의 벼에 국한되는것이 아니고 본 실험에 사용된 다양한 품종의 벼에 일반적으로 나타나는 현상임이 확인되었으며 또한 이들의 양상은 벼의 조직 부위에 따라 다르게 나타나고 있음을 확인하였다. 이러한 실험적 결과와 함께 엽록체 유전자 database의 검색과 유전자의 상호비교분석을 통하여 151bp 반복 염기 저열에 의한 벼 엽록체 DNA의 유전자 재배열현상은 식물 특히 단자엽 식물의 진화와 함께 발달된 현상으로 특히 151bp반복 염기 서열은 매우 다양한 유전자 재배열을 유발하는 변이유발 위치로 발달되어 왔음을 확인할 수 있었다. 따라서 이러한 반복염기서열에 의한 유전자 재배열 현상은 특히 벼에 있어서 plastid의 발달에 밀접하게 관여하고 있음을 제시하고 있다.

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Building an Integrated Protein Data Management System Using the XPath Query Process

  • Cha Hyo Soung;Jung Kwang Su;Jung Young Jin;Ryu Keun Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.99-102
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    • 2004
  • Recently according to developing of bioinformatics techniques, there are a lot of researches about large amount of biological data. And a variety of files and databases are being used to manage these data efficiently. However, because of the deficiency of standardization there are a lot of problems to manage the data and transform one into the other among heterogeneous formats. We are interested in integrating. saving, and managing gene and protein sequence data generated through sequencing. Accordingly, in this paper the goal of our research is to implement the system to manage sequence data and transform a sequence file format into other format. To satisfy these requirements, we adopt BSML (Bioinformatics Sequence Markup Language) as the standard to manage the bioinformatics data. And then we integrate and store the heterogeneous 리at file formats using BSML schema based DTD. And we developed the system to apply the characteristics of object-oriented database and to process XPath query, one of the efficient structural query. that saves and manages XML documents easily.

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Web-Based Database and Viewer of East Asian Copy Number Variations

  • Kim, Ji-Hong;Hu, Hae-Jin;Chung, Yeun-Jun
    • Genomics & Informatics
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    • 제10권1호
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    • pp.65-67
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    • 2012
  • We have discovered copy number variations (CNVs) in 3,578 Korean individuals with the Affymetrix Genome-Wide SNP array 5.0, and 4,003 copy number variation regions (CNVRs) were defined in a previous study. To explore the details of the variants easily in related studies, we built a database, cataloging the CNVs and related information. This system helps researchers browsing these variants with gene and structure variant annotations. Users can easily find specific regions with search options and verify them from system-integrated genome browsers with annotations.

MOTIF BASED PROTEIN FUNCTION ANALYSIS USING DATA MINING

  • Lee, Bum-Ju;Lee, Heon-Gyu;Ryu, Keun-Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.812-815
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    • 2006
  • Proteins are essential agents for controlling, effecting and modulating cellular functions, and proteins with similar sequences have diverged from a common ancestral gene, and have similar structures and functions. Function prediction of unknown proteins remains one of the most challenging problems in bioinformatics. Recently, various computational approaches have been developed for identification of short sequences that are conserved within a family of closely related protein sequence. Protein function is often correlated with highly conserved motifs. Motif is the smallest unit of protein structure and function, and intends to make core part among protein structural and functional components. Therefore, prediction methods using data mining or machine learning have been developed. In this paper, we describe an approach for protein function prediction of motif-based models using data mining. Our work consists of three phrases. We make training and test data set and construct classifier using a training set. Also, through experiments, we evaluate our classifier with other classifiers in point of the accuracy of resulting classification.

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Isolation, characterization and expression of transcription factor ScDREB2 from wild, commercial and interspecific hybrid sugarcane in salinity condition

  • Chanprame, Sontichai;Promkhlibnil, Tanawan;Suwanno, Sakulrat;Laksana, Chanakan
    • Journal of Plant Biotechnology
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    • 제46권2호
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    • pp.97-105
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    • 2019
  • Dehydration Responsive Element Binding (DREB) gene is one of the essential transcription factors plants use for responding to stress conditions including salinity, drought, and cold stress. The purpose of this study was to isolate the full length and characterize the DREB gene from three different genotypes of sugarcane, wild, commercial cultivar, and interspecific hybrid sugarcane. The length of the gene, designated ScDREB was 789 bp, and coding for a putative polypeptide of 262 amino acid residues. Sequences of the gene were submitted to the GenBank database with accession numbers of KX280722.1, KX280721.1, and KX280719.1 for wild sugarcane, commercial cultivar (KPS94-13), and interspecific hybrid (Biotec2), respectively. In silico characterization indicated that the deduced polypeptide contains a putative nuclear localization signal (NLS) sequence, and a conserved AP2/ERF domain of the DREB family, at 82-140 amino residues. Based on multiple sequence alignment, sequences of the gene from the three sugarcane genotypes were classified in the DREB2 group. Gene expression analysis indicated, that ScDREB2 expression pattern in tested sugarcane was up-regulated by salt stress. When the plants were under 100 mM NaCl stress, relative expressions of the gene in leaves was higher than those in roots. In contrast, under 200 mM NaCl stress, relative expressions of the gene in roots was higher than those in leaves. This is the first report on cloning the full length and characterization, of ScDREB2 gene of sugarcane. Results indicate that ScDREB2 is highly responsive to salt stress.

Molecular characterization of avian rotavirus isolated in Korea

  • Wang, Jun-Hui;Koo, Bon-Sang;Mo, In-Pil;Kang, Shien-Young
    • 한국동물위생학회지
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    • 제36권1호
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    • pp.23-30
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    • 2013
  • An avian rotavirus (AvRV-2) was isolated from feces of broilers suffering from acute gastroenteritis in 2011. It was the first avian rotavirus isolated in Korea. To investigate the molecular characteristics of AvRV-2, the VP4, VP6, VP7 and NSP4 gene nucleotide sequences were determined and compared with those of rotavirus strains available in the GenBank database. The phylogenetic tree of VP7 gene showed that AvRV-2 had a high degree of nucleotide sequence homology (93.4% to 94.7%) with those of rotaviruses belonging to genotype G19 cluster. The phylogenetic tree of the VP4 gene revealed a high degree of nucleotide sequence homology (95.8% to 95.9%) with genotype P[30] rotaviruses isolated from chickens. The VP6 and NSP4 gene nucleotide sequences showed the highest identities with those of avian strains with 95.3% to 96.4% and 90.3% to 92.2%, respectively. Genetic characterization of the VP4, VP6, VP7 and NSP4 showed that AvRV-2 strain was most closely related to chicken rotavirus strains from Germany and Japan. Comparative nucleotide sequences and phylogenetic analysis indicated that avian rotavirus isolated from broilers belonged to genotype G19P[30] and it was the first report on avian rotavirus infection in Korea.

Genomic Insights into the Rice Blast Fungus through Estimation of Gene Emergence Time in Phylogenetic Context

  • Choi, Jaeyoung;Lee, Jong-Joon;Jeon, Junhyun
    • Mycobiology
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    • 제46권4호
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    • pp.361-369
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    • 2018
  • The rice blast fungus, Magnaporthe oryzae, is an important pathogen of rice plants. It is well known that genes encoded in the genome have different evolutionary histories that are related to their functions. Phylostratigraphy is a method that correlates the evolutionary origin of genes with evolutionary transitions. Here we applied phylostratigraphy to partition total gene content of M. oryzae into distinct classes (phylostrata), which we designated PS1 to PS7, based on estimation of their emergence time. Genes in individual phylostrata did not show significant biases in their global distribution among seven chromosomes, but at the local level, clustering of genes belonging to the same phylostratum was observed. Our phylostrata-wide analysis of genes revealed that genes in the same phylostratum tend to be similar in many physical and functional characteristics such as gene length and structure, GC contents, codon adaptation index, and level of transcription, which correlates with biological functions in evolutionary context. We also found that a significant proportion of genes in the genome are orphans, for which no orthologs can be detected in the database. Among them, we narrowed down to seven orphan genes having transcriptional and translational evidences, and showed that one of them is implicated in asexual reproduction and virulence, suggesting ongoing evolution in this fungus through lineage-specific genes. Our results provide genomic basis for linking functions of pathogenicity factors and gene emergence time.