• 제목/요약/키워드: Annotation tool

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Transcriptome analysis of a medicinal plant, Pistacia chinensis

  • Choi, Ki-Young;Park, Duck Hwan;Seong, Eun-Soo;Lee, Sang Woo;Hang, Jin;Yi, Li Wan;Kim, Jong-Hwa;Na, Jong-Kuk
    • Journal of Plant Biotechnology
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    • 제46권4호
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    • pp.274-281
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    • 2019
  • Pistacia chinensis Bunge has not only been used as a medicinal plant to treat various illnesses but its young shoots and leaves have also been used as vegetables. In addition, P. chinensis is used as a rootstock for Pistacia vera (pistachio). Here, the transcriptome of P. chinensis was sequenced to enrich genetic resources and identify secondary metabolite biosynthetic pathways using Illumina RNA-seq methods. De novo assembly resulted in 18,524 unigenes with an average length of 873 bp from 19 million RNA-seq reads. A Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation tool assigned KO (KEGG orthology) numbers to 6,553 (36.2%) unigenes, among which 4,061 unigenes were mapped into 391 different metabolic pathways. For terpenoid backbone and carotenoid biosynthesis pathways, 44 and 22 unigenes encode enzymes corresponding to 30 and 16 entries, respectively. Twenty-two unigenes encode proteins for 16 entries of the carotenoid biosynthesis pathway. As for the phenylpropanoid and flavonoid biosynthesis pathways, 63 and 24 unigenes were homologous to 17 and 14 entry proteins, respectively. Mining of simple sequence repeat identified 2,599 simple sequence repeats from P. chinensis unigenes. The results of the present study provide a valuable resource for in-depth studies on comparative and functional genomics to unravel the underlying mechanisms of the medicinal properties of Pistacia L.

Validation of exercise-response genes in skeletal muscle cells of Thoroughbred racing horses

  • Kim, Doh Hoon;Lee, Hyo Gun;Sp, Nipin;Kang, Dong Young;Jang, Kyoung-Jin;Lee, Hak Kyo;Cho, Byung-Wook;Yang, Young Mok
    • Animal Bioscience
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    • 제34권1호
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    • pp.134-142
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    • 2021
  • Objective: To understand the athletic characteristics of Thoroughbreds, high-throughput analysis has been conducted using horse muscle tissue. However, an in vitro system has been lacking for studying and validating genes from in silico data. The aim of this study is to validate genes from differentially expressed genes (DEGs) of our previous RNA-sequencing data in vitro. Also, we investigated the effects of exercise-induced stress including heat, oxidative, hypoxic and cortisol stress on horse skeletal muscle derived cells with the top six upregulated genes of DEGs. Methods: Enriched pathway analysis was conducted using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) tool with upregulated genes in horse skeletal muscle tissue after exercise. Among the candidates, the top six genes were analysed through geneMANIA to investigate gene networks. Muscle cells derived from neonatal horse skeletal tissue were maintained and subjected to exercise-related stressors. Transcriptional changes in the top six genes followed by stressors were investigated using quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Results: The inflammation response pathway was the most commonly upregulated pathway after horse exercise. Under non-cytotoxic conditions of exercise-related stressors, the transcriptional response of the top six genes was different among types of stress. Oxidative stress yielded the most similar expression pattern to DEGs. Conclusion: Our results indicate that transcriptional change after horse exercise in skeletal muscle tissue strongly relates to stress response. The qRT-PCR results showed that stressors contribute differently to the transcriptional regulation. These results would be valuable information to understand horse exercise in the stress aspect.

Identification of Hub Genes in the Pathogenesis of Ischemic Stroke Based on Bioinformatics Analysis

  • Yang, Xitong;Yan, Shanquan;Wang, Pengyu;Wang, Guangming
    • Journal of Korean Neurosurgical Society
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    • 제65권5호
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    • pp.697-709
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    • 2022
  • Objective : The present study aimed to identify the function of ischemic stroke (IS) patients' peripheral blood and its role in IS, explore the pathogenesis, and provide direction for clinical research progress by comprehensive bioinformatics analysis. Methods : Two datasets, including GSE58294 and GSE22255, were downloaded from Gene Expression Omnibus database. GEO2R was utilized to obtain differentially expressed genes (DEGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were performed using the database annotation, visualization and integrated discovery database. The protein-protein interaction (PPI) network of DEGs was constructed by search tool of searching interactive gene and visualized by Cytoscape software, and then the Hub gene was identified by degree analysis. The microRNA (miRNA) and miRNA target genes closely related to the onset of stroke were obtained through the miRNA gene regulatory network. Results : In total, 36 DEGs, containing 27 up-regulated and nine down-regulated DEGs, were identified. GO functional analysis showed that these DEGs were involved in regulation of apoptotic process, cytoplasm, protein binding and other biological processes. KEGG enrichment analysis showed that these DEGs mediated signaling pathways, including human T-cell lymphotropic virus (HTLV)-I infection and microRNAs in cancer. The results of PPI network and cytohubba showed that there was a relationship between DEGs, and five hub genes related to stroke were obtained : SOCS3, KRAS, PTGS2, EGR1, and DUSP1. Combined with the visualization of DEG-miRNAs, hsa-mir-16-5p, hsa-mir-181a-5p and hsa-mir-124-3p were predicted to be the key miRNAs in stroke, and three miRNAs were related to hub gene. Conclusion : Thirty-six DEGs, five Hub genes, and three miRNA were obtained from bioinformatics analysis of IS microarray data, which might provide potential targets for diagnosis and treatment of IS.

Status of Philippine Mango Genomics: Enriching Molecular Genomics Towards a Globally Competitive Philippine Mango Industry

  • Eureka Teresa M. Ocampo;Cris Q. Cortaga;Jhun Laurence S. Rasco;John Albert P. Lachica;Darlon V. Lantican
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2022년도 추계학술대회
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    • pp.28-28
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    • 2022
  • This paper presents the first genome assemblies of Philippine mangoes that provide valuable reference for varietal improvement and genomic studies on mango and related fruit crops. WE sequenced whole genomes of3 species, Mangifera odorata (Huani), Mangifera altissima (Paho), and Mangifera indica 'Carabao' (Sweet Elena). 'Carabao' is the major export variety of the Philippines; Paho is identified as vulnerable by the IUCN Red List of Threatened Species; Huani has fruit sap acrid which is the primary defense mechanism against insects and birds. We used Falcon, a diploid aware -de novo assembler to assemble SMRT generated long-read sequences. Falcon-unzip was employed to phase the output assembly producing larger contig sets (primary contigs) and shorter contigs corresponding to haplotypes (haplotigs). Assembly statistics were generated by comparing the assembly to a reference genome, Tommy Atkins, using Quality Assessment Tool (QUAST). Moreover, the extent of duplication and completeness of gene content was measured using Benchmarking Universal Single-Copy Orthologs (BUSCO). Draft assemblies with high duplications were processed using Purge Haplotigs and Purge Dups to lessen duplications with minimal impact on genome completeness. De novo assemblies of Huani, Paho and 'Carabao' were then generated with primary contig sizes of 463.64 Mb, 508.95 Mb and 401.51 Mb respectively. These draft assemblies of Huani, Paho and 'Carabao' showed 96.90%, 95.17% and 99.07% complete BUSCOs respectively which is comparable to 'Tommy Atkins' genome (98.6%). Using two mango transcriptome data (pooled RNA-seq from different mango varieties and tissues), 91-96% or 24-30 million reads were successfully mapped back for each generated assembly indicating high degree of completeness. The results obtained demonstrated the highly contiguous, phased, and near complete genome assembly of three Philippine mango species for structural and functional annotation of gene units, especially those with economic importance.

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Molecular identification of fruit bats, natural host of Nipah virus in Bangladesh, based on DNA barcode

  • Md. Maharub Hossain Fahim;Walid Hassan;Afia Afsin;Md. Mahfuzur Rahman;Md. Tanvir Rahman;Sang Jin Lim;Yeonsu Oh;Yung Chul Park;Hossain Md. Faruquee;Md. Mafizur Rahman
    • Journal of Ecology and Environment
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    • 제48권2호
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    • pp.163-172
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    • 2024
  • Background: Fruit bats are natural carriers of Nipah virus (NiV). The primary objective of this study is to identify potential reservoir species in a selected geographic regions. It is necessary to determine an accurate species identification of the associated reservoir bat species distributed in a specific region. Results: In this study, we collected 20 different bat specimens from the NiV-prone area of the Kushtia district. Among these, 14 were tissue samples (BT-1-14) and six were fecal samples (BF-1-6). We used the mitochondrial gene cytochrome b, one of the most abundant and frequently used genetic markers, for polymerase chain reaction amplification and sequencing. Out of the 20 samples, 12 tissue samples and 2 fecal samples were successfully amplified and sequenced. However, two tissue samples and four fecal samples yielded chimeric sequences, rendering them unsuitable for annotation. The sequences of the successfully amplified samples were compared to those deposited in the National Center for Biotechnology Information database using basic local alignment search tool to identify the bat specimen collected. The study identified six different bat species using both morphological and genetic data, which may carriers of the NiV. Conclusions: Our results suggest that additional research should be conducted to gather more information on fruit bats from different localities across the country. The study contributes to the establishment of appropriate measures for NiV carrying disease control and management.

토양의 DNA로부터 4-Hydroxyphenylpyruvate Dioxygenase 유전자 탐색 및 분리 (Screening and Isolation of a Gene Encoding 4-Hydroxyphenylpyruvate Dioxygenase from a Metagenomic Library of Soil DNA)

  • 윤상순;이정한;김수진;김삼선;박인철;이미혜;구본성;윤상홍;여윤수
    • Applied Biological Chemistry
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    • 제48권4호
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    • pp.345-351
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    • 2005
  • 난배양 미생물로부터 천연물질을 찾기 위하여 토양으로부터 직접분리 된 DNA와 cosmid vector를 이용하여 metagenomic library를 제작하고 탐색 하였다. 대장균에서 발현되는 유전자은행 초기 탐색 결과 LB배지에서 잘 자라면서 브라운 색깔을 내는 여러 개의 clone을 선발 하였다. 선발된 여러 후보 clone중 pYS85C는 돌연변이를 유도하였으며 색깔을 생산하지않는 clone 들에 대하여 염기서열을 결정 하였다. 돌연변이clone들로부터 결정된 pYS85C 염기서열 결과 아미노산이 393개이며 44.5 kDa으로 색소형성에 관여하는 4-hydroxyphenylpyruvic acid dioxygenase(HPPD) 유전자로 판명 되었다. 또한, BLAST비교 분석에서 이효소는 기존에 밝혀진 HPPD효소와 60% 정도의 identity를 보였고 C-말단에서는 많은 conserved domain이 있었다. 이러한 결과로 볼 때 천연물질을 합성 할 수 있는 유전자는 토양DNA로부터 직접 분리되어 발현될 수 있으며 이러한 기술은 새로운 물질을 찾는데 중요한 tool이 될 수 있다.

FCAnalyzer: A Functional Clustering Analysis Tool for Predicted Transcription Regulatory Elements and Gene Ontology Terms

  • Kim, Sang-Bae;Ryu, Gil-Mi;Kim, Young-Jin;Heo, Jee-Yeon;Park, Chan;Oh, Berm-Seok;Kim, Hyung-Lae;Kimm, Ku-Chan;Kim, Kyu-Won;Kim, Young-Youl
    • Genomics & Informatics
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    • 제5권1호
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    • pp.10-18
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    • 2007
  • Numerous studies have reported that genes with similar expression patterns are co-regulated. From gene expression data, we have assumed that genes having similar expression pattern would share similar transcription factor binding sites (TFBSs). These function as the binding regions for transcription factors (TFs) and thereby regulate gene expression. In this context, various analysis tools have been developed. However, they have shortcomings in the combined analysis of expression patterns and significant TFBSs and in the functional analysis of target genes of significantly overrepresented putative regulators. In this study, we present a web-based A Functional Clustering Analysis Tool for Predicted Transcription Regulatory Elements and Gene Ontology Terms (FCAnalyzer). This system integrates microarray clustering data with similar expression patterns, and TFBS data in each cluster. FCAnalyzer is designed to perform two independent clustering procedures. The first process clusters gene expression profiles using the K-means clustering method, and the second process clusters predicted TFBSs in the upstream region of previously clustered genes using the hierarchical biclustering method for simultaneous grouping of genes and samples. This system offers retrieved information for predicted TFBSs in each cluster using $Match^{TM}$ in the TRANSFAC database. We used gene ontology term analysis for functional annotation of genes in the same cluster. We also provide the user with a combinatorial TFBS analysis of TFBS pairs. The enrichment of TFBS analysis and GO term analysis is statistically by the calculation of P values based on Fisher’s exact test, hypergeometric distribution and Bonferroni correction. FCAnalyzer is a web-based, user-friendly functional clustering analysis system that facilitates the transcriptional regulatory analysis of co-expressed genes. This system presents the analyses of clustered genes, significant TFBSs, significantly enriched TFBS combinations, their target genes and TFBS-TF pairs.

유치의 치근단 방사선 사진에서 딥 러닝 알고리즘을 이용한 모델의 인접면 우식증 객체 탐지 능력의 평가 (Assessment of the Object Detection Ability of Interproximal Caries on Primary Teeth in Periapical Radiographs Using Deep Learning Algorithms)

  • 전홍주;김선미;최남기
    • 대한소아치과학회지
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    • 제50권3호
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    • pp.263-276
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    • 2023
  • 이 연구의 목적은 소아의 치근단 방사선 사진에서 인접면 우식증 객체 탐지 의 객체 탐지를 위해 YOLO (You Only Look Once)를 사용한 모델의 성능을 평가하는 것이다. M6 데이터베이스에서 학습자료군으로 2016개의 치근단 방사선 사진이 선택되었고 이 중 1143개는 한 명의 숙련된 치과의사가 주석 도구를 사용하여 인접면 우식증을 표시하였다. 표시한 주석을 데이터 세트로 변환한 후 단일 합성곱 신경망(CNN) 모델을 기반으로 하는 YOLO를 데이터 세트에 학습시켰다. 187개의 평가자료군에서 객체 탐지 모델 성능 평가를 위해 정확도, 재현율, 특이도, 정밀도, NPV, F1-score, PR 곡선 및 AP를 계산하였다. 결과로 정확도 0.95, 재현율 0.94, 특이도 0.97, 정밀도 0.82, NPV 0.96, F1-score 0.81, AP 0.83으로 인접면 우식증 탐지에 좋은 성능을 보였다. 이 모델은 치과의사에게 치근단 방사선 사진에서 인접면 우식증 병변을 객체 탐지하는 도구로 유용하게 사용될 수 있다.

Transcriptional Profiling of Differentially Expressed Genes in Porcine Satellite Cell

  • Jeong, Jin Young;Kim, Jang Mi;Rajesh, Ramanna Valmiki;Suresh, Sekar;Jang, Gul Won;Lee, Kyung-Tai;Kim, Tae Hun;Park, Mina;Jeong, Hak Jae;Kim, Kyung Woon;Cho, Yong Min;Lee, Hyun-Jeong
    • Reproductive and Developmental Biology
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    • 제37권4호
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    • pp.233-245
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    • 2013
  • Muscle satellite cell (SC) is responsible for postnatal muscle growth, repair, and regeneration. Satellite cell is an important source of multi-potent stem cell process and differentiation into adipogenic, myogenic, and osteoblastogenic. The objective of this study was to identify alter of transcriptome during differentiation in porcine satellite cell and to elevated transcriptome at different stages of postnatal development to gain insight into the differences in differentiated PSC. We used RNA-seq technique to investigate the transcriptomes during differentiation in pig muscle. Sequence reads were obtained from Illumina HiSeq2000. Differentially expressed genes (DEG) were detected by EdgeR. Gene ontology (GO) terms are powerful tool for unification among representation genes or products. In study of GO biological terms, functional annotation clustering involved in cell cycle, apoptosis, extracellular matrix, phosphorylation, proteolysis, and cell signaling in differences stage. Taken together, these results would be contributed to a better understanding of muscle biology and processes underlying differentiation. Our results suggest that the source of DEGs could be better understanding of the mechanism of muscle differentiation and transdifferentiation.

MNNG 처리에 의해 조절되는 암발생 유발 유전자의 조사 (MNNG-Regulated Differentially Expressed Genes that Contribute to Cancer Development in Stomach Cells)

  • 김태진;김명관;정동주
    • 대한임상검사과학회지
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    • 제53권4호
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    • pp.353-362
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    • 2021
  • 암은 전 세계적인 건강문제이다. 암의 종류는 다양하나 암의 발생과정에서의 유사성은 상당히 높다. 모든 암은 유전자의 발현 변화가 있다는 점에서 공통점을 갖는다. 암 발생과정에서 변화되는 유전자의 발현을 이해하는 것은 암치료제나 암백신 개발에 큰 도움을 줄 것이다. 이번 연구에서는 잘 알려진 암발생 물질인 MNNG를 이용하여 정상 위세포에서 암발생 시 변화되는 유전자 발현을 분석하였다. MNNG 처리에 의해 정상 세포와는 다르게 발현되는 유전자인 DEG들을 찾고 이들을 암세포에서 발현되는 DEG들과 비교하였다. 여기에 더해 DEG의 단백질 결과물들의 기능과 단백질들 간의 결합을 분석하여 단순히 유전자의 발현뿐만 아니라 이들 단백질의 신호전달 과정에서의 연관성도 함께 분석하였다. 이 결과 위암 발생과정에서 관여하는 유전자들과 이들 유전자의 단백질 결과물들의 상호 작용을 밝히게 되었다.