Skip to main content

Discovery of Novel microRNAs in Aging Caenorhabditis elegans

  • Protocol
Immunosenescence

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1343))

Abstract

The rapid development of deep sequencing technologies over the last few years and concomitant increases in sequencing depth and cost efficiencies have opened the door to a ever-widening range of applications in biology—from whole-genome sequencing, to ChIP-seq analysis, epigenomic and RNA transcriptome surveys. Here we describe the application of deep sequencing to the discovery of novel microRNAs and characterization of their differential expression during adulthood in Caenorhabditis elegans.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bartel DP (2009) MicroRNAs: target recognition and regulatory functions. Cell 136:215–233

    Google Scholar 

  2. Esquela-Kerscher A, Slack FJ (2006) Oncomirs—microRNAs with a role in cancer. Nat Rev Cancer 6:259–269

    Article  PubMed  CAS  Google Scholar 

  3. Boehm M, Slack F (2005) A developmental timing microRNA and its target regulate life span in C. elegans. Science 310:1954–1957

    Article  PubMed  CAS  Google Scholar 

  4. de Lencastre A et al (2010) MicroRNAs both promote and antagonize longevity in C. elegans. Curr Biol 20:2159–2168

    Article  PubMed  PubMed Central  Google Scholar 

  5. Brenner JL, Jasiewicz KL, Fahley AF, Kemp BJ, Abbott AL (2010) Loss of individual microRNAs causes mutant phenotypes in sensitized genetic backgrounds in C. elegans. Curr Biol 20:1321–1325

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  6. Alvarez-Saavedra E, Horvitz HR (2010) Many families of C. elegans microRNAs are not essential for development or viability. Curr Biol 20:367–373

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  7. Miska EA et al (2007) Most Caenorhabditis elegans microRNAs are individually not essential for development or viability. PLoS Genet 3, e215

    Article  PubMed  PubMed Central  Google Scholar 

  8. Kato M, Chen X, Inukai S, Zhao H, Slack FJ (2011) Age-associated changes in expression of small, noncoding RNAs, including microRNAs, in C. elegans. RNA 17:1804–1820

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  9. Friedländer MR, Mackowiak SD, Li N, Chen W, Rajewsky N (2012) miRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades. Nucleic Acids Res 40:37–52

    Article  PubMed  PubMed Central  Google Scholar 

  10. Robinson MD, McCarthy DJ, Smyth GK (2010) edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26:139–140

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  11. Hausser J et al (2009) MirZ: an integrated microRNA expression atlas and target prediction resource. Nucleic Acids Res 37:W266–W272

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  12. Wang L, Feng Z, Wang X, Wang X, Zhang X (2010) DEGseq: an R package for identifying differentially expressed genes from RNA-seq data. Bioinformatics 26:136–138

    Article  PubMed  Google Scholar 

  13. Anders S, Huber W (2010) Differential expression analysis for sequence count data. Genome Biol 11:R106

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  14. Li J, Tibshirani R (2013) Finding consistent patterns: a nonparametric approach for identifying differential expression in RNA-Seq data. Stat Methods Med Res 22(5):519–536

    Article  PubMed  PubMed Central  Google Scholar 

  15. Hardcastle TJ, Kelly KA (2010) baySeq: empirical Bayesian methods for identifying differential expression in sequence count data. BMC Bioinformatics 11:422

    Article  PubMed  PubMed Central  Google Scholar 

  16. Brenner S (1974) The genetics of Caenorhabditis elegans. Genetics 77:71–94

    PubMed  CAS  PubMed Central  Google Scholar 

  17. Lau NC, Lim LP, Weinstein EG, Bartel DP (2001) An abundant class of tiny RNAs with probable regulatory roles in Caenorhabditis elegans. Science 294:858–862

    Article  PubMed  CAS  Google Scholar 

  18. Hafner M et al (2012) Barcoded cDNA library preparation for small RNA profiling by next-generation sequencing. Methods 58:164–170

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  19. Goecks J, Nekrutenko A, Taylor J, Team G (2010) Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Genome Biol 11:R86

    Article  PubMed  PubMed Central  Google Scholar 

  20. Lim LP et al (2003) The microRNAs of Caenorhabditis elegans. Genes Dev 17:991–1008

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  21. Kato M, de Lencastre A, Pincus Z, Slack FJ (2009) Dynamic expression of small non-coding RNAs, including novel microRNAs and piRNAs/21U-RNAs, during Caenorhabditis elegans development. Genome Biol 10:R54

    Article  PubMed  PubMed Central  Google Scholar 

  22. Hofig KP, Feller A, Merz H (2007) New application for the LightCycler 480 system: qPCR-based microRNA-profiling. Biochemica:7–9

    Google Scholar 

  23. Pak J, Fire A (2007) Distinct populations of primary and secondary effectors during RNAi in C. elegans. Science 315:241–244

    Article  PubMed  CAS  Google Scholar 

  24. Hafner M et al (2008) Identification of microRNAs and other small regulatory RNAs using cDNA library sequencing. Methods 44:3–12

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  25. Hafner M et al (2011) RNA-ligase-dependent biases in miRNA representation in deep-sequenced small RNA cDNA libraries. RNA 17:1697–1712

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  26. Fahlgren N et al (2009) Computational and analytical framework for small RNA profiling by high-throughput sequencing. RNA 15:992–1002

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  27. Farazi TA et al (2011) MicroRNA sequence and expression analysis in breast tumors by deep sequencing. Cancer Res 71:4443–4453

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  28. Grishok A et al (2001) Genes and mechanisms related to RNA interference regulate expression of the small temporal RNAs that control C. elegans developmental timing. Cell 106:23–34

    Article  PubMed  CAS  Google Scholar 

  29. Hoogewijs D, Houthoofd K, Matthijssens F, Vandesompele J, Vanfleteren JR (2008) Selection and validation of a set of reliable reference genes for quantitative sod gene expression analysis in C. elegans. BMC Mol Biol 9:9

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgement

Some C. elegans strains were provided by the CGC, which is funded by NIH Office of Research Infrastructure Programs (P40 OD010440). We thank Dr. Giovanni Stefani and Dr. Masaomi Kato for help with methods. A.d.L. was supported by a National Research Service Award Postdoctoral Fellowship from the National Institutes of Health (NIH; 1F32AG030851). F.J.S. was supported by a Breakthroughs in Gerontology grant from the American Federation for Aging Research, the Ellison Medical Foundation, and the NIH (AG033921).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Frank Slack Ph.D. .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media New York

About this protocol

Cite this protocol

de Lencastre, A., Slack, F. (2015). Discovery of Novel microRNAs in Aging Caenorhabditis elegans . In: Shaw, A. (eds) Immunosenescence. Methods in Molecular Biology, vol 1343. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2963-4_18

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-2963-4_18

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-2962-7

  • Online ISBN: 978-1-4939-2963-4

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics