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Northern Blot Analysis for Expression Profiling of mRNAs and Small RNAs

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RNA Abundance Analysis

Part of the book series: Methods in Molecular Biology ((MIMB,volume 883))

Abstract

Northern analysis is a conventional but gold standard method for detection and quantification of gene expression changes. It not only detects the presence of a transcript but also indicates size and relative comparison of transcript abundance on a single membrane. In recent years, it has been aptly adapted to validate and study the size and expression of small noncoding RNAs. Here, we describe protocols employed in our laboratory for conventional northern analysis with total RNA/mRNA to study gene expression and validation of small noncoding RNAs using low molecular weight fraction of RNAs.

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References

  1. Sunkar R, Zhu JK (2004) Novel and stress-regulated microRNAs and other small RNAs from Arabidopsis. Plant Cell 16:2001–2019

    Article  PubMed  CAS  Google Scholar 

  2. Hsieh LC et al (2009) Uncovering small RNA-mediated responses to phosphate deficiency in Arabidopsis by deep sequencing. Plant Physiol 151:2120–2132

    Article  PubMed  Google Scholar 

  3. Zhu QH et al (2008) A diverse set of microRNAs and microRNA-like small RNAs in developing rice grains. Genome Res 18:1456–1465

    Article  PubMed  CAS  Google Scholar 

  4. Bo W et al (2009) Novel microRNAs uncovered by deep sequencing of small RNA transcriptomes in bread wheat (Triticum aestivum L.) and Brachypodium distachyon (L.) Beauv. Funct Integr Genomics 9:499–511

    Article  Google Scholar 

  5. Lee H et al (2010) Genetic framework for flowering-time regulation by ambient temperature-responsive miRNAs in Arabidopsis. Nucleic Acids Res 38:3081–3093

    Article  PubMed  CAS  Google Scholar 

  6. Moldovan D et al (2009) Hypoxia-responsive microRNAs and trans-acting small interfering RNAs in Arabidopsis. J Exp Bot 61:165–177

    Article  Google Scholar 

  7. Marin E et al (2010) miR390, Arabidopsis TAS3 tasiRNAs, and their AUXIN RESPONSE FACTOR targets define an autoregulatory network quantitatively regulating lateral root growth. Plant Cell 22:1104–1117

    Article  PubMed  CAS  Google Scholar 

  8. Gao P et al (2010) Over-expression of osa-MIR396c decreases salt and alkali stress tolerance. Planta 231:991–1001

    Article  PubMed  CAS  Google Scholar 

  9. Priyanka B et al (2010) Characterization of expressed sequence tags (ESTs) of pigeon pea (Cajanus cajan L.) and functional validation of selected genes for abiotic stress tolerance in Arabidopsis thaliana. Mol Genet Genomics 283:273–287

    Article  PubMed  CAS  Google Scholar 

  10. Wu T et al (2010) Transcriptome profile analysis of floral sex determination in cucumber. J Plant Physiol 167:905–913

    Article  PubMed  CAS  Google Scholar 

  11. Zang Q et al (2010) Isolation and characterization of a gene encoding a polyethylene glycol-induced cysteine protease in common wheat. J Biosci 35:379–388

    Article  PubMed  CAS  Google Scholar 

  12. Katiyar-Agrawal S et al (2006) A pathogen-inducible endogenous siRNA in plant immunity. Proc Natl Acad Sci USA 103:18002–18007

    Article  Google Scholar 

  13. Katiyar-Agarwal S, Gao S, Vivian-Smith A (2007) A novel class of bacteria-induced small RNAs in Arabidopsis. Genes Dev 21:3123–3134

    Article  PubMed  CAS  Google Scholar 

  14. Katiyar-Agarwal S, Jin H (2007) Discovery of pathogen-regulated small RNAs in plants. In: Methods in enzymology, 427:215–227. Elsevier, Amsterdam

    Google Scholar 

  15. Pall GS et al (2007) Carbodiimide-mediated cross-linking of RNA to nylon membranes improves the detection of siRNA, miRNA and piRNA by northern blot. Nucleic Acids Res 35:e60

    Article  PubMed  Google Scholar 

  16. Beckmann BM et al (2010) Northern blot detection of endogenous small RNAs (∼14 nt) in bacterial total RNA extracts. Nucleic Acids Res 38:e147

    Article  PubMed  Google Scholar 

  17. Buhtz A et al (2010) Phloem small RNAs, nutrient stress responses, and systemic mobility. BMC Plant Biol 10:64

    Article  PubMed  Google Scholar 

  18. Xin M et al (2010) Diverse set of microRNAs are responsive to powdery mildew infection and heat stress in wheat (Triticum aestivum L.). BMC Plant Biol 10:123

    Article  PubMed  Google Scholar 

  19. Lu et al (2008) Genome-wide analysis for discovery of rice microRNAs reveals natural antisense microRNAs (nat-miRNAs). Proc Natl Acad Sci USA 105:4951–4956

    Article  Google Scholar 

  20. Kim SW et al (2010) A sensitive non-radioactive northern blot method to detect small RNAs. Nucleic Acids Res 38:e98

    Article  PubMed  Google Scholar 

  21. Petersen M, Wengel J (2003) LNA: a versatile tool for therapeutics and genomics. Trends Biotechnol 21:74–81

    Article  PubMed  CAS  Google Scholar 

  22. Zou X et al (2010) Identification of transcriptome induced in roots of maize seedlings at the late stage of waterlogging. BMC Plant Biol 10:189

    Article  PubMed  Google Scholar 

  23. Jin H (2010) Screening of genes induced by salt stress from Alfalfa. Mol Biol Rep 37:745–753

    Article  PubMed  CAS  Google Scholar 

  24. Valdes-Lopez O (2010) MicroRNA expression profile in common bean (Phaseolus vulgaris) under nutrient deficiency stresses and manganese toxicity. New Phytol 187:805–818

    Article  PubMed  CAS  Google Scholar 

  25. Tang X et al (2007) A simple array platform for microRNA analysis and its application in mouse tissues. RNA 13:1803–1822

    Article  PubMed  CAS  Google Scholar 

  26. Meng L, Lemaux PG (2003) A simple and rapid method for nuclear run-on transcription assays in plants. Plant Mol Biol Rep 21:65–71

    Article  CAS  Google Scholar 

  27. Schmittgen TD et al (2004) A high-throughput method to monitor the expression of microRNA precursors. Nucleic Acids Res 32:e43

    Article  PubMed  Google Scholar 

  28. Shi R, Chiang VL (2005) Facile means for quantifying microRNA expression by real-time PCR. Biotechniques 39:519–525

    Article  PubMed  CAS  Google Scholar 

  29. Fu HG et al (2006) A novel method to monitor the expression of microRNAs. Mol Biotechnol 32:197–204

    Article  PubMed  CAS  Google Scholar 

  30. Chen C et al (2005) Real-time quantification of microRNAs by stem–loop RT–PCR. Nucleic Acids Res 33:e179

    Article  PubMed  Google Scholar 

  31. Varkonyi-Gasic E et al (2007) Protocol: a highly sensitive RT-PCR method for detection and quantification of microRNAs. Plant Methods 3:12

    Article  PubMed  Google Scholar 

  32. Chomczynski P, Sacchi N (1987) Single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction. Anal Biochem 162:156–159

    Article  PubMed  CAS  Google Scholar 

  33. Jain M (2009) Genome-wide identification of novel internal control genes for normalization of gene expression during various stages of development in rice. Plant Sci 176:702–706

    Article  CAS  Google Scholar 

  34. Garg R et al (2010) Validation of internal ­control genes for quantitative gene expression studies in chickpea (Cicer arietinum L.). Biochem Biophys Res Commun 396: 283–288

    Article  PubMed  CAS  Google Scholar 

  35. Herrin DL, Schmidt GW (1998) Rapid, reversible staining of northern blots prior to hybridization. Biotechniques 6:196–198

    Google Scholar 

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Acknowledgments

Research work in the laboratories of S.K.-A. and M.A. is supported by grants from Department of Biotechnology (DBT), India and University of Delhi. R.P. and A.R.B. are thankful to Council of Scientific and Industrial Research (CSIR), India and DBT, India for the student fellowship, respectively.

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Correspondence to Surekha Katiyar-Agarwal .

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Bhardwaj, A.R., Pandey, R., Agarwal, M., Katiyar-Agarwal, S. (2012). Northern Blot Analysis for Expression Profiling of mRNAs and Small RNAs. In: Jin, H., Gassmann, W. (eds) RNA Abundance Analysis. Methods in Molecular Biology, vol 883. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-61779-839-9_2

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  • DOI: https://doi.org/10.1007/978-1-61779-839-9_2

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  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-61779-838-2

  • Online ISBN: 978-1-61779-839-9

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