IDEAS home Printed from https://ideas.repec.org/a/caa/jnlpse/v53y2007i10id2196-pse.html
   My bibliography  Save this article

Isolation and detection of small RNA molecules

Author

Listed:
  • J. Fulneček

    (Institute of Biophysics, Academy of Sciences of the Czech Republic, Brno, Czech Republic)

Abstract

The article describes in detail methodical procedures for isolation of small RNA molecules, their electrophoresis, northern blotting and finally detection by hybridization with radioactively labeled riboprobes. The presented protocols were successfully introduced and used in our laboratory.

Suggested Citation

  • J. Fulneček, 2007. "Isolation and detection of small RNA molecules," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 53(10), pages 451-455.
  • Handle: RePEc:caa:jnlpse:v:53:y:2007:i:10:id:2196-pse
    DOI: 10.17221/2196-PSE
    as

    Download full text from publisher

    File URL: http://pse.agriculturejournals.cz/doi/10.17221/2196-PSE.html
    Download Restriction: free of charge

    File URL: http://pse.agriculturejournals.cz/doi/10.17221/2196-PSE.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/2196-PSE?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gunter Meister & Thomas Tuschl, 2004. "Mechanisms of gene silencing by double-stranded RNA," Nature, Nature, vol. 431(7006), pages 343-349, September.
    2. Craig C. Mello & Darryl Conte, 2004. "Revealing the world of RNA interference," Nature, Nature, vol. 431(7006), pages 338-342, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xing Chen & Jun Yin & Jia Qu & Li Huang, 2018. "MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction," PLOS Computational Biology, Public Library of Science, vol. 14(8), pages 1-24, August.
    2. Jun Meng & Lin Shi & Yushi Luan, 2014. "Plant microRNA-Target Interaction Identification Model Based on the Integration of Prediction Tools and Support Vector Machine," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-12, July.
    3. Xing Chen & Li Huang, 2017. "LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction," PLOS Computational Biology, Public Library of Science, vol. 13(12), pages 1-28, December.
    4. Emilie Estrabaud & Kevin Appourchaux & Ivan Bièche & Fabrice Carrat & Martine Lapalus & Olivier Lada & Michelle Martinot-Peignoux & Nathalie Boyer & Patrick Marcellin & Michel Vidaud & Tarik Asselah, 2015. "IFI35, mir-99a and HCV Genotype to Predict Sustained Virological Response to Pegylated-Interferon Plus Ribavirin in Chronic Hepatitis C," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-19, April.
    5. Arnaud Segers & Joachim Carpentier & Frédéric Francis & Rudy Caparros Megido, 2023. "Gene Silencing of laccase 1 Induced by Double-Stranded RNA in Callosobruchus maculatus (Fabricius 1775) (Coleoptera: Chrysomelidae) Suggests RNAi as a Potential New Biotechnological Tool for Bruchid’s," Agriculture, MDPI, vol. 13(2), pages 1-19, February.
    6. Thuc Duy Le & Junpeng Zhang & Lin Liu & Jiuyong Li, 2015. "Ensemble Methods for MiRNA Target Prediction from Expression Data," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-19, June.
    7. Zhen Shen & You-Hua Zhang & Kyungsook Han & Asoke K. Nandi & Barry Honig & De-Shuang Huang, 2017. "miRNA-Disease Association Prediction with Collaborative Matrix Factorization," Complexity, Hindawi, vol. 2017, pages 1-9, September.
    8. B. Megala Devi & Samyuktha Guruprasath & Pooraniammal Balu & Anirudha Chattopadhyay & Siva Sudha Thilagar & Kanaga Vijayan Dhanabalan & Manoj Choudhary & Swarnalatha Moparthi & A. Abdul Kader Jailani, 2024. "Dissecting Diagnostic and Management Strategies for Plant Viral Diseases: What Next?," Agriculture, MDPI, vol. 14(2), pages 1-31, February.
    9. Lei Li & Yu-Tian Wang & Cun-Mei Ji & Chun-Hou Zheng & Jian-Cheng Ni & Yan-Sen Su, 2021. "GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder," PLOS Computational Biology, Public Library of Science, vol. 17(12), pages 1-19, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnlpse:v:53:y:2007:i:10:id:2196-pse. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.