• Title/Summary/Keyword: Gene ontology

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Testis-specific transcripts in the chicken

  • Kim, Duk-Kyung
    • Proceedings of the Korea Society of Poultry Science Conference
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    • 2005.11a
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    • pp.53-59
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    • 2005
  • Sequences of candidate chicken testis-specific genes were analyzed in order to develop a resource for functional genomic studies of the testis and male germ cells. Tentative consensus sequences (TCs) containing ESTs expressed in testis libraries only were selected from the TIGR Gallus gallus Gene Index, resulting in a total of 292 TCs. The transcriptional expression of these genes were evaluated in a variety of chicken tissues, including testis and ovary, Of the panel of 292 TCs, 110 were expressed in a testis-specific manner. The correlation between the number of ESTs assembled into each TC and the number of testis-specific TCs was not significant. Annotation of the TCs using the Gene Ontology database terms showed that the proportion of testis-specific TCs that were classified as having catalytic activity (within the Molecular Function branch) was larger than the proportion of total chicken TCs classified in the same way. Our results might facilitate the investigation of testis-specific genes and their functional analysis in the chicken as well as in other avian species.

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RNAseq-based Transcriptome Analysis of Burkholderia glumae Quorum Sensing

  • Kim, Sunyoung;Park, Jungwook;Kim, Ji Hyeon;Lee, Jongyun;Bang, Bongjun;Hwang, Ingyu;Seo, Young-Su
    • The Plant Pathology Journal
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    • v.29 no.3
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    • pp.249-259
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    • 2013
  • Burkholderia glumae causes rice grain rot and sheath rot by producing toxoflavin, the expression of which is regulated by quorum sensing (QS). The QS systems of B. glumae rely on N-octanoyl homoserine lactone, synthesized by TofI and its cognate receptor TofR, to activate the genes for toxoflavin biosynthesis and an IclR-type transcriptional regulator gene, qsmR. To understand genome-wide transcriptional profiling of QS signaling, we employed RNAseq of the wild-type B. glumae BGR1 with QS-defective mutant, BGS2 (BGR1 tofI::${\Omega}$) and QS-dependent transcriptional regulator mutant, BGS9 (BGR1 qsmR::${\Omega}$). A comparison of gene expression profiling among the wild-type BGR1 and the two mutants before and after QS onset as well as gene ontology (GO) enrichment analysis from differential expressed genes (DEGs) revealed that genes involved in motility were highly enriched in TofI-dependent DEGs, whereas genes for transport and DNA polymerase were highly enriched in QsmR-dependent DEGs. Further, a combination of pathways with these DEGs and phenotype analysis of mutants pointed to a couple of metabolic processes, which are dependent on QS in B. glumae, that were directly or indirectly related with bacterial motility. The consistency of observed bacterial phenotypes with GOs or metabolic pathways in QS-regulated genes implied that integration RNAseq with GO enrichment or pathways would be useful to study bacterial physiology and phenotypes.

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
    • Korean Journal of Exercise Nutrition
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    • v.25 no.3
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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.

In silico analysis of MeJA-induced comparative transcriptomes in Brassica oleraceae L. var. capitata

  • Lee, Ok Ran;Kim, Dae-Soo
    • Journal of Plant Biotechnology
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    • v.43 no.2
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    • pp.189-203
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    • 2016
  • Brassica oleraceae var capitata is a member of the Brassicaceae family and is widely used as an horticultural crop. In the present study, transcriptome analysis of B. oleraceae L. var capitata was done for the first time using eight-week old seedlings treated with $50{\mu}m$ MeJA, versus mock-treated samples. The complete transcripts for both samples were obtained using the GS-FLX sequencer. Overall, we obtained 275,570 and 266,457 reads from seedlings treated with or without $50{\mu}m$ MeJA, respectively. All the obtained reads were annotated using biological databases and functionally classified using gene ontology (GO), the Kyoto Encyclopedia of Genes and Genomics (KEGG). By using GO analyses, putative transcripts were examined in terms of biotic and abiotic stresses, cellular component organization, biogenesis, and secondary metabolic processes. The KEGG pathways for most of the transcripts were involved in carbohydrate metabolism, energy metabolism, and secondary metabolite synthesis. In order to double the sequenced data, we randomly chose two putative genes involved in terpene biosynthetic pathways and studied their transcript patterns under MeJA treatment. This study will provide us a platform to further characterize the genes in B. oleracea var capitata.

Microarray Analysis of Genes Involved with Shell Strength in Layer Shell Gland at the Early Stage of Active Calcification

  • Liu, Zhangguo;Zheng, Qi;Zhang, Xueyu;Lu, Lizhi
    • Asian-Australasian Journal of Animal Sciences
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    • v.26 no.5
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    • pp.609-624
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    • 2013
  • The objective of this study was to get a comprehensive understanding of how genes in chicken shell gland modulate eggshell strength at the early stage of active calcification. Four 32-week old of purebred Xianju hens with consistent high or low shell breakage strength were grouped into two pairs. Using Affymetrix Chicken Array, a whole-transcriptome analysis was performed on hen's shell gland at 9 h post oviposition. Gene ontology enrichment analysis for differentially expressed (DE) transcripts was performed using the web-based GOEAST, and the validation of DE-transcripts was tested by qRT-PCR. 1,195 DE-transcripts, corresponding to 941 unique genes were identified in hens with strong eggshell compared to weak shell hens. According to gene ontology annotations, there are 77 DE-transcripts encoding ion transporters and secreted extracellular matrix proteins, and at least 26 DE-transcripts related to carbohydrate metabolism or post-translation glycosylation modification; furthermore, there are 88 signaling DE-transcripts. GO term enrichment analysis suggests that some DE-transcripts mediate reproductive hormones or neurotransmitters to affect eggshell quality through a complex suite of biophysical processes. These results reveal some candidate genes involved with eggshell strength at the early stage of active calcification which may facilitate our understanding of regulating mechanisms of eggshell quality.

Genome-wide association study to reveal new candidate genes using single-step approaches for productive traits of Yorkshire pig in Korea

  • Jun Park
    • Animal Bioscience
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    • v.37 no.3
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    • pp.451-460
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    • 2024
  • Objective: The objective is to identify genomic regions and candidate genes associated with age to 105 kg (AGE), average daily gain (ADG), backfat thickness (BF), and eye muscle area (EMA) in Yorkshire pig. Methods: This study used a total of 104,380 records and 11,854 single nucleotide polymorphism (SNP) data obtained from Illumina porcine 60K chip. The estimated genomic breeding values (GEBVs) and SNP effects were estimated by single-step genomic best linear unbiased prediction (ssGBLUP). Results: The heritabilities of AGE, ADG, BF, and EMA were 0.50, 0.49, 0.49, and 0.23, respectively. We identified significant SNP markers surpassing the Bonferroni correction threshold (1.68×10-6), with a total of 9 markers associated with both AGE and ADG, and 4 markers associated with BF and EMA. Genome-wide association study (GWAS) analyses revealed notable chromosomal regions linked to AGE and ADG on Sus scrofa chromosome (SSC) 1, 6, 8, and 16; BF on SSC 2, 5, and 8; and EMA on SSC 1. Additionally, we observed strong linkage disequilibrium on SSC 1. Finally, we performed enrichment analyses using gene ontology and Kyoto encyclopedia of genes and genomes (KEGG), which revealed significant enrichments in eight biological processes, one cellular component, one molecular function, and one KEGG pathway. Conclusion: The identified SNP markers for productive traits are expected to provide valuable information for genetic improvement as an understanding of their expression.

PubMine: An Ontology-Based Text Mining System for Deducing Relationships among Biological Entities

  • Kim, Tae-Kyung;Oh, Jeong-Su;Ko, Gun-Hwan;Cho, Wan-Sup;Hou, Bo-Kyeng;Lee, Sang-Hyuk
    • Interdisciplinary Bio Central
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    • v.3 no.2
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    • pp.7.1-7.6
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    • 2011
  • Background: Published manuscripts are the main source of biological knowledge. Since the manual examination is almost impossible due to the huge volume of literature data (approximately 19 million abstracts in PubMed), intelligent text mining systems are of great utility for knowledge discovery. However, most of current text mining tools have limited applicability because of i) providing abstract-based search rather than sentence-based search, ii) improper use or lack of ontology terms, iii) the design to be used for specific subjects, or iv) slow response time that hampers web services and real time applications. Results: We introduce an advanced text mining system called PubMine that supports intelligent knowledge discovery based on diverse bio-ontologies. PubMine improves query accuracy and flexibility with advanced search capabilities of fuzzy search, wildcard search, proximity search, range search, and the Boolean combinations. Furthermore, PubMine allows users to extract multi-dimensional relationships between genes, diseases, and chemical compounds by using OLAP (On-Line Analytical Processing) techniques. The HUGO gene symbols and the MeSH ontology for diseases, chemical compounds, and anatomy have been included in the current version of PubMine, which is freely available at http://pubmine.kobic.re.kr. Conclusions: PubMine is a unique bio-text mining system that provides flexible searches and analysis of biological entity relationships. We believe that PubMine would serve as a key bioinformatics utility due to its rapid response to enable web services for community and to the flexibility to accommodate general ontology.

Meta-analysis of Gene Expression Data Identifies Causal Genes for Prostate Cancer

  • Wang, Xiang-Yang;Hao, Jian-Wei;Zhou, Rui-Jin;Zhang, Xiang-Sheng;Yan, Tian-Zhong;Ding, De-Gang;Shan, Lei
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.1
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    • pp.457-461
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    • 2013
  • Prostate cancer is a leading cause of death in male populations across the globe. With the advent of gene expression arrays, many microarray studies have been conducted in prostate cancer, but the results have varied across different studies. To better understand the genetic and biologic mechanisms of prostate cancer, we conducted a meta-analysis of two studies on prostate cancer. Eight key genes were identified to be differentially expressed with progression. After gene co-expression analysis based on data from the GEO database, we obtained a co-expressed gene list which included 725 genes. Gene Ontology analysis revealed that these genes are involved in actin filament-based processes, locomotion and cell morphogenesis. Further analysis of the gene list should provide important clues for developing new prognostic markers and therapeutic targets.

Integration Scheme of Gene Information based on Anatomical Structure (해부학적 구조를 이용한 유전자 정보 통합 기법)

  • Yang, Gi-Chul
    • Journal of Digital Convergence
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    • v.13 no.2
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    • pp.153-158
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    • 2015
  • Biologists are pursuing genetics related researches that can provide the core information to understand a certain cancer or inherent diseases. However, biological experimentations can produce different results by the difference of various elements or environments at the time of experimentation and/or difference of interpretations. Therefore, currently existing research results can possibly provide different information. These inconsistency can be found through integration of gene information. Biologists can save their time and efforts to find certain gene information if the gene information is integrated without inconsistency. An efficient gene integration and augmentation scheme of gene information generated through different researches is introduced in this paper.

Studies on Gene Expression of baicalin treated in HL-60 cell line using High-throughput Gene Expression Analysis Techniques (Baicalin을 처리한 HL-60 백혈병 세포주에서 대규모 유전자 분석 발현 연구)

  • Kang Bong Joo;Cha Min Ho;Jeon Byung Hun;Yun Yong Gab;Yoon Yoo Sik
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.18 no.5
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    • pp.1291-1300
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    • 2004
  • Baicalin, a biologically active flavonoid form the roots of Scutallaria baicalensis (Skullcap), have been reported to not only function as anti-oxidants but also cause anticancer effect. We investigated the mechanism of baicalin-induced cytotoxicity and the macro scale gene expression analysis in leukemia cell line, HL-60 cells. Baicalin (10 μM) were used to treat the cells for 6h, 12h, 24h, 48h and 72h. In a human cDNAchip study of 65,000 genes evaluated 6, 12, 24, 48. 72 hours after treated with Baicalin in HL-60 cells. Hierarchical cluster against the genes which showed expression changes by more than two fold. One hundred one genes were grouped into 6 clusters according to their profile of expression by a hierarchical clustering algorithm. For genes differentially expressed in response to baicalin treatment, we tested functional classes based on Gene Ontology (GO) terms. This study provides the most comprehensive available survey of gene expression changes in response to baicalin treatment in HL-60 cell line.