• 제목/요약/키워드: Anatomical Ontology

검색결과 5건 처리시간 0.015초

"침구갑을경(鍼灸甲乙經)"의 용어체계(用語體系)에 관한 연구 (A Study on Terminology in ZhenJiuJiaYiJing(鍼灸甲乙經))

  • 박찬영;이병욱;김기욱
    • 대한한의학원전학회지
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    • 제26권3호
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    • pp.127-139
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    • 2013
  • Objectives : In the traditional oriental medicine, efforts to utilize the knowledge system so called Ontology have been achieved for systemic researches and efficient propagation of knowledge on oriental medicine. So far, in Korea, studies on drug ontology, pathological ontology, Cold Damage ontology and diagnostic ontology had been implemented, however, any development of ontology in the field of Acupuncture &, Moxibustion has not been achieved. Methods : We used Microsoft Access to collect terms in ZhenJiuJiaYiJing. The terms are related to human body area and structure. And then we built relationship of 'part of' and 'criterion of acupuncture point location' between the terms. Result & Conclusions : The terms used to explain acupuncture points in order to describe the position of acupuncture point name in ZhenJiuJiaYiJing were 8 words concerning different name of acupuncture point(穴名) 109, body part name(人體部位名稱) 150, meridian(經脈) 6 and structure(構造物).

"동의보감"에 기재된 인체 용어 관계를 이용한 검색효율성 향상 방법 (Method for improving search efficiency using relation of anatomical structure from Donguibogam(東醫寶鑑))

  • 송인우;이병욱
    • 대한한의학원전학회지
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    • 제25권4호
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    • pp.105-113
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    • 2012
  • Objectives : Acquiring information from symptoms is one of the important method to gain clinically available information in korean medicine. Therefore, up to now, study of symptom terms was frequently implemented in promotion of various information project. In data extraction methods using symptom information from DB, information search using synonym and method using ontology is studied and utilized. However, considering concept of symptom has essential information of appeared body area and phenomenon we think that extending synonym and ontology relationship in symptom terms can be useful for search and set to this study. Methods : We collect terms relevant to human body area and structure described in Donguibogam. Synonymous relationship between collected terms is organized. Relationship between collected terms is build to human-body-knowledge table which has form of Concept+Relation+Concept. Type of relationship is limited on a range of expressing content about parts of human body. Result & Conclusion : Search condition is generated automatically using relationship of the upper area in knowledge table contents. Information of next and previous acupuncture point, upper and lower acupuncture point, left and right acupuncture point can be searched using information of acupuncture point location, order, relative position in area, direction in knowledge table contents.

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

  • 양기철
    • 디지털융복합연구
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    • 제13권2호
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    • pp.153-158
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    • 2015
  • 생물학자들은 특정 암이나 선천성 질병을 이해하는데 핵심정보를 제공할 수 있는 유전자관련 연구를 진행하고 있다. 하지만 생물학적 실험은 실험당시의 여러 가지 요소나 상황의 차이 또는 해석의 차이에 의해 서로 다른 결과를 생성하기도 한다. 따라서 현존하는 연구 결과들은 서로 상이한 정보를 제공할 수 있다. 유전자 정보의 통합을 통하여 이러한 불일치를 찾을 수 있다. 유전자 정보들이 불일치가 없이 통합 된다면 생물학자들은 어떤 유전자 정보를 알기 위해서 여러 연구 결과를 검토하지 않아도 되어 시간과 노력을 절감할 수 있게 된다. 이를 위하여 본 논문에서는 서로 다른 연구에 의해 구축된 유전자 정보를 하나의 정보로 통합 및 확장하는 기법을 소개한다.

Gene expression profile in mesenchymal stem cells derived from dental tissues and bone marrow

  • Kim, Su-Hwan;Kim, Young-Sung;Lee, Su-Yeon;Kim, Kyoung-Hwa;Lee, Yong-Moo;Kim, Won-Kyung;Lee, Young-Kyoo
    • Journal of Periodontal and Implant Science
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    • 제41권4호
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    • pp.192-200
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    • 2011
  • Purpose: The aim of this study is to compare the gene expression profile in mesenchymal stem cells derived from dental tissues and bone marrow for characterization of dental stem cells. Methods: We employed GeneChip analysis to the expression levels of approximately 32,321 kinds of transcripts in 5 samples of bone-marrow-derived mesenchymal stem cells (BMSCs) (n=1), periodontal ligament stem cells (PDLSCs) (n=2), and dental pulp stem cells (DPSCs) (n=2). Each cell was sorted by a FACS Vantage Sorter using immunocytochemical staining of the early mesenchymal stem cell surface marker STRO-1 before the microarray analysis. Results: We identified 379 up-regulated and 133 down-regulated transcripts in BMSCs, 68 up-regulated and 64 down-regulated transcripts in PDLSCs, and 218 up-regulated and 231 down-regulated transcripts in DPSCs. In addition, anatomical structure development and anatomical structure morphogenesis gene ontology (GO) terms were over-represented in all three different mesenchymal stem cells and GO terms related to blood vessels, and neurons were over-represented only in DPSCs. Conclusions: This study demonstrated the genome-wide gene expression patterns of STRO-$1^+$ mesenchymal stem cells derived from dental tissues and bone marrow. The differences among the expression profiles of BMSCs, PDLSCs, and DPSCs were shown, and 999 candidate genes were found to be definitely up- or down-regulated. In addition, GOstat analyses of regulated gene products provided over-represented GO classes. These data provide a first step for discovering molecules key to the characteristics of dental stem cells.

Genome analysis of Yucatan miniature pigs to assess their potential as biomedical model animals

  • Kwon, Dae-Jin;Lee, Yeong-Sup;Shin, Donghyun;Won, Kyeong-Hye;Song, Ki-Duk
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권2호
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    • pp.290-296
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    • 2019
  • Objective: Pigs share many physiological, anatomical and genomic similarities with humans, which make them suitable models for biomedical researches. Understanding the genetic status of Yucatan miniature pigs (YMPs) and their association with human diseases will help to assess their potential as biomedical model animals. This study was performed to identify non-synonymous single nucleotide polymorphisms (nsSNPs) in selective sweep regions of the genome of YMPs and present the genetic nsSNP distributions that are potentially associated with disease occurrence in humans. Methods: nsSNPs in whole genome resequencing data from 12 YMPs were identified and annotated to predict their possible effects on protein function. Sorting intolerant from tolerant (SIFT) and polymorphism phenotyping v2 analyses were used, and gene ontology (GO) network and Kyoto encyclopedia of genes and genomes (KEGG) pathway analyses were performed. Results: The results showed that 8,462 genes, encompassing 72,067 nsSNPs were identified, and 118 nsSNPs in 46 genes were predicted as deleterious. GO network analysis classified 13 genes into 5 GO terms (p<0.05) that were associated with kidney development and metabolic processes. Seven genes encompassing nsSNPs were classified into the term associated with Alzheimer's disease by referencing the genetic association database. The KEGG pathway analysis identified only one significantly enriched pathway (p<0.05), hsa04080: Neuroactive ligand-receptor interaction, among the transcripts. Conclusion: The number of deleterious nsSNPs in YMPs was identified and then these variants-containing genes in YMPs data were adopted as the putative human diseases-related genes. The results revealed that many genes encompassing nsSNPs in YMPs were related to the various human genes which are potentially associated with kidney development and metabolic processes as well as human disease occurrence.