• 제목/요약/키워드: gene network

검색결과 558건 처리시간 0.031초

Weighted Gene Co-expression Network Analysis in Identification of Endometrial Cancer Prognosis Markers

  • Zhu, Xiao-Lu;Ai, Zhi-Hong;Wang, Juan;Xu, Yan-Li;Teng, Yin-Cheng
    • Asian Pacific Journal of Cancer Prevention
    • /
    • 제13권9호
    • /
    • pp.4607-4611
    • /
    • 2012
  • Objective: Endometrial cancer (EC) is the most common gynecologic malignancy. Identification of potential biomarkers of EC would be helpful for the detection and monitoring of malignancy, improving clinical outcomes. Methods: The Weighted Gene Co-expression Network Analysis method was used to identify prognostic markers for EC in this study. Moreover, underlying molecular mechanisms were characterized by KEGG pathway enrichment and transcriptional regulation analyses. Results: Seven gene co-expression modules were obtained, but only the turquoise module was positively related with EC stage. Among the genes in the turquoise module, COL5A2 (collagen, type V, alpha 2) could be regulated by PBX (pre-B-cell leukemia homeobox 1)1/2 and HOXB1(homeobox B1) transcription factors to be involved in the focal adhesion pathway; CENP-E (centromere protein E, 312kDa) by E2F4 (E2F transcription factor 4, p107/p130-binding); MYCN (v-myc myelocytomatosis viral related oncogene, neuroblastoma derived [avian]) by PAX5 (paired box 5); and BCL-2 (B-cell CLL/lymphoma 2) and IGFBP-6 (insulin-like growth factor binding protein 6) by GLI1. They were predicted to be associated with EC progression via Hedgehog signaling and other cancer related-pathways. Conclusions: These data on transcriptional regulation may provide a better understanding of molecular mechanisms and clues to potential therapeutic targets in the treatment of EC.

Morphometric and genetic diversity of Rasbora several species from farmed and wild stocks

  • Bambang Retnoaji;Boby Muslimin;Arif Wibowo;Ike Trismawanti
    • Fisheries and Aquatic Sciences
    • /
    • 제26권9호
    • /
    • pp.569-581
    • /
    • 2023
  • The morphology and genetic identification of Rasbora lateristriata and Rasbora argyrotaenia between cultivated and wild populations has never been reported. This study compares morphology and cytochrome c oxidase (COI) genes between farmed and wild stock Rasbora spp. in Java and Sumatra island, Indonesia. We analyzed the truss network measurement (TNM) characters of 80 fish using discriminant function analysis statistical tests. DNA was extracted from muscle tissue of 24 fish specimens, which was then followed by polymerase chain reaction, sequencing, phylogenetic analysis, fixation index analysis, and statistical analysis of haplotype networks. Basic Local Alignment Search Tool analysis validated the following species: R. lateristriata and R. argyrotaenia from farming (Jogjakarta); Rasbora agryotaenia (Purworejo), R. lateristriata (Purworejo and Malang), Rasbora dusonensis (Palembang), and Rasbora einthovenii (Riau) from natural resources. Based on TNM characters, Rasbora spp. were divided into four groups, referring to four distinct characters in the middle of the body. The phylogenetic tree is divided into five clades. The genetic distance between R. argyrotaenia (Jogjakarta) and R. lateristriata (Malang) populations (0.66) was significantly different (p < 0.05). R. lateristriata (Purworejo) has the highest nucleotide diversity (0.43). R. argyrotaenia from Jogjakarta and Purworejo shared the same haplotype. The pattern of gene flow among them results from the two populations' close geographic proximity and environmental effects. R. argyrotaenia had low genetic diversity, therefore, increasing heterozygosity in cultivated populations is necessary to avoid inbreeding. Otherwise, R. lateristriata (Purworejo) had a greater gene variety that could be used to develop breeding. In conclusion, the middle body parts are a distinguishing morphometric character of Rasbora spp., and the COI gene is more heterozygous in the wild population than in farmed fish, therefore, enrichment of genetic variation is required for sustainable Rasbora fish farming.

Regulatory patterns of histone modifications to control the DNA methylation status at CpG islands

  • Jung, In-Kyung;Kim, Dong-Sup
    • Interdisciplinary Bio Central
    • /
    • 제1권1호
    • /
    • pp.4.1-4.7
    • /
    • 2009
  • Introduction: Histone modifications and DNA methylation are the major factors in epigenetic gene regulation. Especially, revealing how histone modifications are related to DNA methylation is one of the challenging problems in this field. In this paper, we address this issue and propose several plausible mechanisms for precise controlling of DNA methylation status at CpG islands. Materials and Methods: To establish the regulatory relationships, we used 38 histone modification types including H2A.Z and CTCF, and DNA methylation status at CpG islands across chromosome 6, 20, and 22 of human CD4+ T cell. We utilized Bayesian network to construct regulatory network. Results and Discussion: We found several meaningful relationships supported by previous studies. In addition, our results show that histone modifications can be clustered into several groups with different regulatory properties. Based on those findings we predicted the status of methylation level at CpG islands with high accuracy, and suggested core-regulatory network to control DNA methylation status.

IoT-based systemic lupus erythematosus prediction model using hybrid genetic algorithm integrated with ANN

  • Edison Prabhu K;Surendran D
    • ETRI Journal
    • /
    • 제45권4호
    • /
    • pp.594-602
    • /
    • 2023
  • Internet of things (IoT) is commonly employed to detect different kinds of diseases in the health sector. Systemic lupus erythematosus (SLE) is an autoimmune illness that occurs when the body's immune system attacks its own connective tissues and organs. Because of the complicated interconnections between illness trigger exposure levels across time, humans have trouble predicting SLE symptom severity levels. An effective automated machine learning model that intakes IoT data was created to forecast SLE symptoms to solve this issue. IoT has several advantages in the healthcare industry, including interoperability, information exchange, machine-to-machine networking, and data transmission. An SLE symptom-predicting machine learning model was designed by integrating the hybrid marine predator algorithm and atom search optimization with an artificial neural network. The network is trained by the Gene Expression Omnibus dataset as input, and the patients' data are used as input to predict symptoms. The experimental results demonstrate that the proposed model's accuracy is higher than state-of-the-art prediction models at approximately 99.70%.

Functional Conservation and Divergence of FVE Genes that Control Flowering Time and Cold Response in Rice and Arabidopsis

  • Baek, Il-Sun;Park, Hyo-Young;You, Min Kyoung;Lee, Jeong Hwan;Kim, Jeong-Kook
    • Molecules and Cells
    • /
    • 제26권4호
    • /
    • pp.368-372
    • /
    • 2008
  • Recent molecular and genetic studies in rice, a short-day plant, have elucidated both conservation and divergence of photoperiod pathway genes and their regulators. However, the biological roles of rice genes that act within the autonomous pathway are still largely unknown. In order to better understand the function of the autonomous pathway genes in rice, we conducted molecular genetic analyses of OsFVE, a rice gene homologous to Arabidopsis FVE. OsFVE was found to be ubiquitously expressed in vegetative and reproductive organs. Overexpression of OsFVE could rescue the flowering time phenotype of the Arabidopsis fve mutants by up-regulating expression of the SUPPRESSOR OF OVEREXPRESSION OF CO1 (SOC1) and down-regulating FLOWERING LOCUS C (FLC) expression. These results suggest that there may be a conserved function between OsFVE and FVE in the control of flowering time. However, OsFVE overexpression in the fve mutants did not rescue the flowering time phenotype in in relation to the response to intermittent cold treatment.

한의학 분야 문헌 분석을 통한 생물학적 네트워크 분석시스템 개발 (Implementing Biological Network Analysis System through Oriental Medical Literature Analysis)

  • 유석종;조용성;이준학;서동민;예상준;김철
    • 한국콘텐츠학회논문지
    • /
    • 제15권10호
    • /
    • pp.616-625
    • /
    • 2015
  • 최근 한의학에 대한 과학적 접근이 진행되면서 한약재 성분의 효능을 검증하고자 하는 다양한 분자 생물학 분야의 연구가 진행되고 있다. 하지만 관련 한약재의 주요 성분과 관련된 생화학적 기작을 손쉽게 검색할 수 있는 시스템이 갖추어져 있지 못한 실정이다. 본 연구는 국내 한약재에 대한 약효 성분과 생물학적 기작에 대한 정보를 수집 및 텍스트마이닝을 수행하여 한약재 정보 데이터베이스를 구축하고자 하였다. 연구자가 손쉽게 분석된 한약재의 화합물, 유전자 그리고 생물학적 상호작용 정보를 검색할 수 있는 웹사이트 원형을 개발하였다. 문헌 분석결과 한의학분야 주요 화합물 및 유전자/단백질 정보를 추출할 수 있었고 현대 한의학 연구 현황의 특징을 보여주었다. 분석된 결과는 웹을 통해 한약재별 PubMed 문헌 정보와 관련된 한약재의 약재 정보 및 생물학적 상호작용 정보를 가시화하여 볼 수 있도록 개발하였다.

Network Analyses of Gene Expression following Fascin Knockdown in Esophageal Squamous Cell Carcinoma Cells

  • Du, Ze-Peng;Wu, Bing-Li;Xie, Jian-Jun;Lin, Xuan-Hao;Qiu, Xiao-Yang;Zhan, Xiao-Fen;Wang, Shao-Hong;Shen, Jin-Hui;Li, En-Min;Xu, Li-Yan
    • Asian Pacific Journal of Cancer Prevention
    • /
    • 제16권13호
    • /
    • pp.5445-5451
    • /
    • 2015
  • Fascin-1 (FSCN1) is an actin-bundling protein that induces cell membrane protrusions, increases cell motility, and is overexpressed in various human epithelial cancers, including esophageal squamous cell carcinoma (ESCC). We analyzed various protein-protein interactions (PPI) of differentially-expressed genes (DEGs), in fascin knockdown ESCC cells, to explore the role of fascin overexpression. The node-degree distributions indicated these PPI sub-networks to be characterized as scale-free. Subcellular localization analysis revealed DEGs to interact with other proteins directly or indirectly, distributed in multiple layers of extracellular membrane-cytoskeleton/ cytoplasm-nucleus. The functional annotation map revealed hundreds of significant gene ontology (GO) terms, especially those associated with cytoskeleton organization of FSCN1. The Random Walk with Restart algorithm was applied to identify the prioritizations of these DEGs when considering their relationship with FSCN1. These analyses based on PPI network have greatly expanded our comprehension of the mRNA expression profile following fascin knockdown to future examine the roles and mechanisms of fascin action.

Gene Expression Profiling of the Rewarding Effect Caused by Methamphetamine in the Mesolimbic Dopamine System

  • Yang, Moon Hee;Jung, Min-Suk;Lee, Min Joo;Yoo, Kyung Hyun;Yook, Yeon Joo;Park, Eun Young;Choi, Seo Hee;Suh, Young Ju;Kim, Kee-Won;Park, Jong Hoon
    • Molecules and Cells
    • /
    • 제26권2호
    • /
    • pp.121-130
    • /
    • 2008
  • Methamphetamine, a commonly used addictive drug, is a powerful addictive stimulant that dramatically affects the CNS. Repeated METH administration leads to a rewarding effect in a state of addiction that includes sensitization, dependence, and other phenomena. It is well known that susceptibility to the development of addiction is influenced by sources of reinforcement, variable neuroadaptive mechanisms, and neurochemical changes that together lead to altered homeostasis of the brain reward system. These behavioral abnormalities reflect neuroadaptive changes in signal transduction function and cellular gene expression produced by repeated drug exposure. To provide a better understanding of addiction and the mechanism of the rewarding effect, it is important to identify related genes. In the present study, we performed gene expression profiling using microarray analysis in a reward effect animal model. We also investigated gene expression in four important regions of the brain, the nucleus accumbens, striatum, hippocampus, and cingulated cortex, and analyzed the data by two clustering methods. Genes related to signaling pathways including G-protein-coupled receptor-related pathways predominated among the identified genes. The genes identified in our study may contribute to the development of a gene modeling network for methamphetamine addiction.

Vitamin D Receptor Gene TaqI, BsmI and FokI Polymorphisms in Korean Patients with Tuberculosis

  • Kang, Tae-Jin;Jin, Song-Hou;Yeum, Chung-Eun;Lee, Seong-Beom;Kim, Chi-Hong;Lee, Sang-Haak;Kim, Kwan-Hyoung;Shin, Eun-Soon;Chae, Gue-Tae
    • IMMUNE NETWORK
    • /
    • 제11권5호
    • /
    • pp.253-257
    • /
    • 2011
  • Background: The active metabolite (1, 25- dihydroxycholecalciferol) of vitamin D (25-hydroxycholecalciferol) leads to activation of macrophages and deficiency of vitamin D seems to be involved in the risk of tuberculosis. The effects of vitamin D are exerted by interaction with the vitamin D receptor (VDR) and may be influenced by polymorphism in the VDR gene. In this study, variation in the VDR gene was investigated in Korean population with tuberculosis. Methods: We typed three VDR polymorphisms of restriction endonuclease sites for TaqI, BsmI and FokI in 155 patients with tuberculosis and 105 healthy volunteers. Results: The frequencies of FokI genotypes determined from TB patients were 29.13% for FF, 56.31% for Ff, and 14.56% for ff. We observed 1.4-fold increased prevalence of the Ff genotype in TB patients compared with normal healthy groups (p=0.0857). However, there was no significant association between the genotype groups, TB patient and normal control, for FokI polymorphism. There was also no significant association between VDR gene and tuberculosis in another polymorphism (BsmI and TaqI). Conclusion: Three polymorphisms (TaqI, BsmI and FokI) in the VDR gene do not appear to be responsible for host susceptibility to human tuberculosis in Korean population.

한국인 무릎 골 관절염 환자들의 임상 양상과 Apo-1/Fas (CD95) 유전자 다형성과의 상관관계에 관한 연구 (Apo-1/Fas (CD95) Gene Polymorphism in Korean Knee Osteoarthritis Patients)

  • 홍승재;양형인;임성빈;정주호;정영옥;김호연
    • IMMUNE NETWORK
    • /
    • 제3권2호
    • /
    • pp.145-149
    • /
    • 2003
  • Background: Apoptosis has been implicated in pathogenesis of various disease. Apo-1/Fas (CD95) is one of the main pathway of apoptosis. To examine the possible relationship between Apo-1/Fas (CD95) and primary knee osteoarthritis, MvaI restriction length polymorphism (RFLP) in human Apo-1/Fas (CD95) gene was assessed. Methods: Genotype and allele frequencies in promoter region in the Apo-1/Fas (CD95) gene were studied by PCR-RFLP in 226 Korean controls and 148 Korean patients with primary knee osteoarthritis. Results: No statistically significant difference in the genotypic distribution and allelic frequencies was found between the control and the knee oateoarthritis patients. But in the severe grade (grade 3, 4) Kellgren-Lawrence score patients, the frequency of $MvaI^*1$ (G) allele was significantly decreased (P=0.0392) and the of $MvaI^*2$ (A) allele frequency was significantly increased (P=0.0473) compared to the normal controls. Conclusion: Apo-1/Fas (CD95) gene polymorphism is a part a determinant factor of severity in knee osteoarthritis, the patients with $MvaI^*2$ (A) allele is more severe radiologic progression. Further substantiation studies are needed in larger patient samples and various other apoptosis related genes to elucidate the mechanism of osteoarthritis, including the Fas ligand gene analysis.