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Jaemyung Yang,Hyekyung Shim,Yeonju Min,Sungyoul Hong,Moosik Kwon,Daehyun Kim,Hyunran Kim,Yongmoon Choi,Sukchan Lee 한국분자세포생물학회 2004 Molecules and cells Vol.18 No.2
Pear black necrotic leaf spot (PBNLS) is a disease of pears caused by capillovirus-like particles, which can be observed under the electron microscope. The disease was analyzed by Western blot analysis with antisera raised against apple stem grooving virus (ASGV) coat protein. cDNAs covering the entire genome were synthesized by RT-PCR and RACE using RNA isolated from Chenopodium quinoa infected with sap extracted from pear leaves carrying black necrotic spot disease. The complete genome sequence of the putative pear virus, 6497 nucleotides in length excluding the poly (A) tail, was determined and analyzed. It contains two overlapping open reading frames (ORFs). ORF1, spans from nucleotide position 37 to 6354, producing a putative protein of 241 kDa. ORF2, which is in a different reading frame within ORF1, begins at nucleotide 4788 and terminates at 5750, and produces a putative protein of 36 kDa. The 241 kDa protein contains sequences related to the NTP-binding motifs of helicases and RNA-dependent RNA polymerases. The 36-kDa protein contains the consensus sequence GDSG found in the active sites of several cellular and viral serine proteases. Morphological and serological analysis, and sequence comparison between the putative pear virus, ASGV, citrus tatter leaf virus and cherry virus A of the capillovirus suggest that PBNLS may be caused by a Korean isolate of ASGV.
양새동,장재명,정회경,Yang, Xitong,Jang, Jaemyung,Jung, Hoekyung 한국정보통신학회 2017 한국정보통신학회논문지 Vol.21 No.1
최근 연구실 내의 시약장의 경우 센서를 통해 현재 내부 환경을 나타내기만 할 뿐 시약장 내부의 상태를 실시간으로 확인할 수 없다. 또한 시약장 내부에 이상상황 발생 시 사전에 발견하지 못할 경우 큰 사고가 발생할 수 있다. 이러한 문제점을 해결하고자 본 논문에서는 시약장과 ICT를 융합한 시약장 모니터링 시스템을 제안하였다. 실시간으로 측정된 센서의 데이터를 모니터를 통해 사용자에게 실시간으로 보여주고 데이터베이스에 저장한다. 또한 저장된 데이터를 활용하여 위험 상황 시 등록된 관리자에게 실시간으로 메시지를 전달하여 위험상황을 알려줄 수 있고 원격에서 확인, 제어할 수 있도록 한다. 이는 시약장 내부의 상태를 어디에서라도 제어 및 확인 할 수 있어 안전성을 향상 시킬 수 있을 것으로 사료된다. Recently, the reagent in the laboratory can not only confirm the internal environment through the sensor but also check the status inside the reagent cabinet in real time. Also, if an abnormality occurs in the inside of the reagent cabinet, a serious accident may occur. To solve these problems, this paper proposes a reagent monitoring system that integrates reagent and ICT. The sensor data measured in real time is displayed to the user in real time through the monitor and stored in the database. In addition, by using the stored data, it is possible to inform the registered administrator in real time of the dangerous situation by informing the dangerous situation in case of danger, and to be able to check and control remotely. This can improve safety by making control and confirmation of the state of the inside of the reagent everywhere.