• 제목/요약/키워드: reverse transcription digital PCR

검색결과 6건 처리시간 0.021초

Reverse Transcription Droplet Digital PCR을 활용한 Tomato Spotted Wilt Virus 검출 및 정량 (Application of Reverse Transcription Droplet Digital PCR for Detection and Quantification of Tomato Spotted Wilt Virus)

  • 이효정;박기범;한연수;정래동
    • 식물병연구
    • /
    • 제27권3호
    • /
    • pp.120-127
    • /
    • 2021
  • 식물 바이러스는 작물 수확량에 상당한 손실을 일으키고 작물 생산을 지속적으로 위협하여 세계 식량 안보에 심각한 위협이 된다. 그 중 tomato spotted wilt virus (TSWV)는 주로 원예작물을 감염시키는 가장 위협적인 식물 바이러스로 넓은 기주 범위를 가진다. Reverse-transcription quantitative real-time PCR (RT-qPCR)은 TSWV의 민감한 검출을 위해 널리 사용되고 있지만 표준화의 어려움으로 인해 유용성이 감소한다. 따라서 본 연구에서는 TSWV 검출을 위해 민감하고 정확한 reverse transcription droplet digital polymerase chain reaction (RT-ddPCR)을 확립하였다. TSWV 검출에 대한 RT-qPCR 및 RT-ddPCR의 민감도를 비교하였고, TSWV에 대한 RT-ddPCR의 특이성 분석은 고추에서 주로 발생하는 바이러스 및 음성 대조군에서 특이성을 확인한 결과 증폭되지 않았다. RT-ddPCR 및 RTqPCR에 의해 측정된 TSWV의 선형회귀곡선은 모두 높은 선형성을 나타냈지만, RT-ddPCR 분석이 10배 이상 더 민감하고 더 낮은 TSWV의 copy 수를 검출할 수 있었다. 종합적으로, 우리의 연구 결과는 RT-ddPCR이 TSWV 검출에 대해 높은 민감도와 특이성을 제공하고 낮은 농도의 현장 시료에서 TSWV 검출하는 데 적합하다는 것을 보여준다.

Development and Application of Reverse Transcription Nanoplate-Based Digital PCR Assay for Sensitive and Accurate Detection of Rice Black-Streaked Dwarf Virus in Cereal Crops

  • Hyo-Jeong Lee;Hae-Jun Kim;Sang-Min Kim;Rae-Dong Jeong
    • The Plant Pathology Journal
    • /
    • 제40권4호
    • /
    • pp.408-413
    • /
    • 2024
  • The emergence of rice black-streaked dwarf virus (RBSDV) poses a significant threat to global cereal crop cultivation, necessitating the urgent development of reliable detection and quantification techniques. This study introduces a reliable approach for the precise and sensitive quantification of the RBSDV in cereal crop samples, employing a reverse transcription digital polymerase chain reaction (RT-dPCR) assay. We assessed the specificity and sensitivity of the RT-dPCR assay proposed for precise RBSDV detection and quantification. Our findings demonstrate that RT-dPCR was specific for detection of RBSDV, with no cross-reactivity observed with other viruses infecting cereal crops. The RT-dPCR sensitivity was over 10 times that of RT-quantitative PCR (RT-qPCR). The detection limit of RT-dPCR was 0.096 copies/㎕. In addition, evaluation of RT-dPCR assay with field samples was conducted on 60 different cereal crop samples revealed that RT-dPCR (45/60) exhibited superior accuracy compared with RT-qPCR (23/60). In this study, we present a specific and accurate RT-dPCR assay for the detection and quantification of RBSDV.

Detection and Quantification of Apple Stem Grooving Virus in Micropropagated Apple Plantlets Using Reverse-Transcription Droplet Digital PCR

  • Kim, Sung-Woong;Lee, Hyo-Jeong;Cho, Kang Hee;Jeong, Rae-Dong
    • The Plant Pathology Journal
    • /
    • 제38권4호
    • /
    • pp.417-422
    • /
    • 2022
  • Apple stem grooving virus (ASGV) is a destructive viral pathogen of pome fruit trees that causes significant losses to fruit production worldwide. Obtaining ASGV-free propagation materials is essential to reduce economic losses, and accurate and sensitive detection methods to screen ASGV-free plantlets during in vitro propagation are urgently necessary. In this study, ASGV was sensitively and accurately quantified from in vitro propagated apple plantlets using a reverse transcription droplet digital polymerase chain reaction (RT-ddPCR) assay. The optimized RT-ddPCR assay was specific to other apple viruses, and was at least 10-times more sensitive than RT-real-time quantitative PCR assay. Furthermore, the optimized RT-ddPCR assay was validated for the detection and quantification of ASGV using micropropagated apple plantlet samples. This RT-ddPCR assay can be utilized for the accurate quantitative detection of ASGV infection in ASGV-free certification programs, and can thus contribute to the production of ASGV-free apple trees.

Comparison of Digital PCR and Quantitative PCR with Various SARS-CoV-2 Primer-Probe Sets

  • Park, Changwoo;Lee, Jina;Hassan, Zohaib ul;Ku, Keun Bon;Kim, Seong-Jun;Kim, Hong Gi;Park, Edmond Changkyun;Park, Gun-Soo;Park, Daeui;Baek, Seung-Hwa;Park, Dongju;Lee, Jihye;Jeon, Sangeun;Kim, Seungtaek;Lee, Chang-Seop;Yoo, Hee Min;Kim, Seil
    • Journal of Microbiology and Biotechnology
    • /
    • 제31권3호
    • /
    • pp.358-367
    • /
    • 2021
  • The World Health Organization (WHO) has declared the coronavirus disease 2019 (COVID-19) as an international health emergency. Current diagnostic tests are based on the reverse transcription-quantitative polymerase chain reaction (RT-qPCR) method, which is the gold standard test that involves the amplification of viral RNA. However, the RT-qPCR assay has limitations in terms of sensitivity and quantification. In this study, we tested both qPCR and droplet digital PCR (ddPCR) to detect low amounts of viral RNA. The cycle threshold (CT) of the viral RNA by RT-PCR significantly varied according to the sequences of the primer and probe sets with in vitro transcript (IVT) RNA or viral RNA as templates, whereas the copy number of the viral RNA by ddPCR was effectively quantified with IVT RNA, cultured viral RNA, and RNA from clinical samples. Furthermore, the clinical samples were assayed via both methods, and the sensitivity of the ddPCR was determined to be equal to or more than that of the RT-qPCR. However, the ddPCR assay is more suitable for determining the copy number of reference materials. These findings suggest that the qPCR assay with the ddPCR defined reference materials could be used as a highly sensitive and compatible diagnostic method for viral RNA detection.

Gene Expression Profile and Its Interpretation in Squamous Cell Lung Cancer

  • Park, Dong-Yoon;Kim, Jung-Min;Kim, Ja-Eun;Yoo, Chang-Hyuk;Lee, Han-Yong;Song, Ji-Young;Hwang, Sang-Joon;Yoo, Jae-Cheal;Kim, Sung-Han;Park, Jong-Ho;Yoon, Jeong-Ho
    • Molecular & Cellular Toxicology
    • /
    • 제2권4호
    • /
    • pp.273-278
    • /
    • 2006
  • 95 squamous cell lung carcinoma samples (normal tissue: 40 samples, tumor: 55 samples) were analyzed with 8 K cDNA microarray. 1-way ANOVA test was employed to select differentially expressed genes in tumor with FDR<0.01. Among the selected 1,655 genes, final 212 genes were chosen according to the expression fold change and used for following analysis. The expression of up-regulated 64 genes was verified with Reverse Transcription PCR and 10 genes were identified as candidates for SCC markers. In our opinion, those candidates can be exploited as diagnostic or therapeutic purposes. Gene Ontology (GO) based analysis was performed using those 212 genes, and following categories were revealed as significant biological processes: Immune response (GO: 0006955), antigen processing (GO: 0030333), inflammatory response (GO: 0006954), Cell adhesion (GO: 0007155), and Epidermis differentiation (GO: 0008544). Gene set enrichment analysis (GSEA) also carried out on overall gene expression profile with 522 functional gene sets. Glycolysis, cell cycle, K-ras and amino acid biosynthesis related gene sets were most distinguished. These results are consistent with the known characteristics of SCC and may be interconnected to rapid cell proliferation. However, the unexpected results from ERK activation in squamous cell carcinoma gripped our attention, and further studies are under progress.

노로바이러스 및 로타바이러스 감염의 역학 및 기후요인과의 관계: 천안시, 2010-2019 (Molecular epidemiologic trends of norovirus and rotavirus infection and relation with climate factors: Cheonan, Korea, 2010-2019)

  • 오은주;김장묵;김재경
    • 디지털융복합연구
    • /
    • 제18권12호
    • /
    • pp.425-434
    • /
    • 2020
  • 바이러스감염으로 인한 설사는 전 세계적으로 공중 보건의 주요 문제이며 사망률의 큰 부분을 차지하고 있지만 기후데이터를 이용하여 분석한 연구는 많지 않다. 따라서 본 연구는 설사를 유발하는 바이러스인 Rotavirus Gr.A, Norovirus G-I & GII의 감염과 기후와의 인과관계를 분석하여 조기진단과 치료를 용이하게 하고 계절성 질환을 더욱 관리하고 예방하는데 기여하고자 하였다. 2010년 6월부터 2019년 12월까지 단국대학교 병원에서 시행한 대변 시료 4,009개의 설사바이러스 6종의 멀티플렉스 역전사 PCR(mRT-PCR)검사결과와 다양한 기후 요인 중 체감온도, 상대습도, 일조율과의 상관관계를 후향적으로 분석하였다. 4,009 개의 대변 샘플 중 985 개는 Rotavirus Gr.A, Norovirus G-I & GII 감염에 대해 양성이었다. 이 985 건 중 95.3 % (n = 939)는 10 세 미만으로 Rotavirus Gr.A, Norovirus G-I & GII는 10 세 미만 환자에서 높은 감염률을 보였다. 우리는 기상 빅데이터와 연령, 시기별 감염분석 등에 기초하여 Rotavirus Gr.A의 감염이 상대 습도에 따라 유의한 상관 관계가 있음을 확인하였고 Norovirus G-II의 감염은 체감 온도와 유의한 상관 관계가 있음을 확인하였다. 본 연구는 기후요인에 따른 Rotavirus Gr.A, Norovirus G-I & GII 감염의 분포에 대한 이해도를 향상시킴으로써 바이러스성 설사질환과 관련된 보건정책의 설정이나 계절적 영향에 대한 새로운 통찰력을 제공하는데 유용한 자료가 될 것으로 기대한다.