IsomiR explained

isomiRs (from iso- + miR) are miRNA sequences that have variations with respect to the reference sequence. The term was coined by Morin et al in 2008.[1] It has been found that isomiR expression profiles can also exhibit race, population, and gender dependencies.

There are four main variation types:

Discovery

miRBase is considered to be the gold-standard miRNA database—it stores miRNA sequences detected by thousand of experiments. In this database each miRNA is associated with a miRNA precursor and with one or two mature miRNA (-5p and -3p). In the past it had always been said that the same miRNA precursor generates the same miRNA sequences. However, the advent of deep sequencing has now allowed researchers to detect a huge variability in miRNA biogenesis, meaning that from the same miRNA precursor many different sequences can be generated potentially have different targets,[2] [3] [4] or even lead to opposite changes in mRNA expression.

Biogenesis

The advent of sequencing has permitted scientists to elucidate a huge landscape of new miRNAs, to increase our knowledge of the biogenesis involved and to discover putative post-transcriptional editing processes in miRNAs ignored until now. These processes mostly generate variations of the current miRNAs that are annotated in miRBase in the 3' and 5' terminus and in minor frequencies, nucleotide substitution along the miRNA length,.[5] [6] [7] [8] The variations are mainly generated by a shift of Drosha and Dicer in the cleavage site, but also by nucleotide additions at the 3'-end,[9] resulting in new sequences different from the annotated miRNA. These were named "isomiRs" by Morin et al., 2008. IsomiRs have been well established along different species in metazoa [10] [11] [12] [13] [14] and deeply described for the first time in human stem cells and human brain samples. Moreover, it has been proven that isomiRs are not caused by RNA degradation during sample preparation for next generation sequencing.[15] Some studies have tried to explain the miRNA diversity by structural bases of precursors but without clear results.[16] The functionality of adenylation or uridynilation at the 3'end (3'addition isomiRs) has been related to alterations in the miRNA-3'-UTR stability.[17] Furthermore, differential expression of isomiRs has been detected during development in D. melanogaster and Hippoglossus hippoglossus L., suggesting a biological function.[14] [18]

External links

Notes and References

  1. Morin . R. D. . O'Connor . M. D. . Griffith . M. . Kuchenbauer . F. . Delaney . A. . Prabhu . A. -L. . Zhao . Y. . McDonald . H. . Zeng . T. . Hirst . M. . Eaves . C. J. . Marra . M. A. . Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells . Genome Research . 18 . 4 . 610–621 . 2008 . 18285502 . 2279248 . 10.1101/gr.7179508.
  2. Llorens. Franc. Bañez-Coronel. Mónica. Pantano. Lorena. del Río. Jose Antonio. Ferrer. Isidre. Estivill. Xavier. Martí. Eulàlia. 2013-02-15. A highly expressed miR-101 isomiR is a functional silencing small RNA. BMC Genomics. 14. 104. 10.1186/1471-2164-14-104. 1471-2164. 3751341. 23414127 . free .
  3. Telonis. Aristeidis G.. Loher. Phillipe. Jing. Yi. Londin. Eric. Rigoutsos. Isidore. 2015-10-30. Beyond the one-locus-one-miRNA paradigm: microRNA isoforms enable deeper insights into breast cancer heterogeneity. Nucleic Acids Research. 43. 19. 9158–9175. 10.1093/nar/gkv922. 1362-4962. 4627084. 26400174.
  4. Mercey. Olivier. Popa. Alexandra. Cavard. Amélie. Paquet. Agnès. Chevalier. Benoît. Pons. Nicolas. Magnone. Virginie. Zangari. Joséphine. Brest. Patrick. Zaragosi. Laure-Emmanuelle. Ponzio. Gilles. Lebrigand. Kevin. Barbry. Pascal. Marcet. Brice. 2017-02-13. Characterizing isomiR variants within the microRNA-34/449 family. FEBS Letters. 10.1002/1873-3468.12595. 1873-3468. 28192603. 591. 5. 5363356. 693–705.
  5. Ebhardt . H. A. . Tsang . H. H. . Dai . D. C. . Liu . Y. . Bostan . B. . Fahlman . R. P. . Meta-analysis of small RNA-sequencing errors reveals ubiquitous post-transcriptional RNA modifications . Nucleic Acids Research . 37 . 8 . 2461–2470 . 2009 . 19255090 . 2677864 . 10.1093/nar/gkp093.
  6. Iida . K. . Jin . H. . Zhu . J. K. . Bioinformatics analysis suggests base modifications of tRNAs and miRNAs in Arabidopsis thaliana . BMC Genomics . 10 . 155 . 2009 . 19358740 . 2674459 . 10.1186/1471-2164-10-155 . free .
  7. Pantano . L. . Estivill . X. . Marti . E. . SeqBuster, a bioinformatic tool for the processing and analysis of small RNAs datasets, reveals ubiquitous miRNA modifications in human embryonic cells . Nucleic Acids Research . 38 . 5 . e34 . 2009 . 20008100 . 2836562 . 10.1093/nar/gkp1127.
  8. Marti . E. . Pantano . L. . Bañez-Coronel . M. . Llorens . F. . Miñones-Moyano . E. . Porta . S. . Sumoy . L. . Ferrer . I. . Estivill . X. . A myriad of miRNA variants in control and Huntington's disease brain regions detected by massively parallel sequencing . Nucleic Acids Research . 38 . 20 . 7219–7235 . 2010 . 20591823 . 2978354 . 10.1093/nar/gkq575.
  9. Lu . S. . Sun . Y. -H. . Chiang . V. L. . Adenylation of plant miRNAs . Nucleic Acids Research . 37 . 6 . 1878–1885 . 2009 . 19188256 . 2665221 . 10.1093/nar/gkp031.
  10. Reid . J. G. . Nagaraja . A. K. . Lynn . F. C. . Drabek . R. B. . Muzny . D. M. . Shaw . C. A. . Weiss . M. K. . Naghavi . A. O. . Khan . M. . Zhu . H. . Tennakoon . J. . Gunaratne . G. H. . Corry . D. B. . Miller . J. . McManus . M. T. . German . M. S. . Gibbs . R. A. . Matzuk . M. M. . Gunaratne . P. H. . Mouse let-7 miRNA populations exhibit RNA editing that is constrained in the 5′-seed/ cleavage/anchor regions and stabilize predicted mmu-let-7a:mRNA duplexes . Genome Research . 18 . 10 . 1571–1581 . 2008 . 18614752 . 2556275 . 10.1101/gr.078246.108.
  11. Luciano . D. J. . Mirsky . H. . Vendetti . N. J. . Maas . S. . RNA editing of a miRNA precursor . RNA . 10 . 8 . 1174–1177 . 2004 . 15272117 . 1370607 . 10.1261/rna.7350304.
  12. Guo . L. . Lu . Z. . Global expression analysis of miRNA gene cluster and family based on isomiRs from deep sequencing data . Computational Biology and Chemistry . 34 . 3 . 165–171 . 2010 . 20619743 . 10.1016/j.compbiolchem.2010.06.001.
  13. Brennecke . J. . Aravin . A. A. . Stark . A. . Dus . M. . Kellis . M. . Sachidanandam . R. . Hannon . G. J. . Discrete Small RNA-Generating Loci as Master Regulators of Transposon Activity in Drosophila . Cell . 128 . 6 . 1089–1103 . 2007 . 17346786 . 10.1016/j.cell.2007.01.043. 2246942 . free .
  14. Bizuayehu . T. T. . Lanes . C. F. C. . Furmanek . T. . Karlsen . B. O. . Fernandes . J. M. O. . Johansen . S. D. . Babiak . I. . Differential expression patterns of conserved miRNAs and isomiRs during Atlantic halibut development . BMC Genomics . 13 . 11 . 2012. 10.1186/1471-2164-13-11 . 22233483 . 3398304 . free .
  15. Lee . L. W. . Zhang . S. . Etheridge . A. . Ma . L. . Martin . D. . Galas . D. . Wang . K. . Complexity of the microRNA repertoire revealed by next-generation sequencing . RNA . 16 . 11 . 2170–2180 . 2010 . 20876832 . 2957056 . 10.1261/rna.2225110.
  16. Starega-Roslan . J. . Krol . J. . Koscianska . E. . Kozlowski . P. . Szlachcic . W. J. . Sobczak . K. . Krzyzosiak . W. J. . Structural basis of microRNA length variety . Nucleic Acids Research . 39 . 1 . 257–268 . 2010 . 20739353 . 3017592 . 10.1093/nar/gkq727.
  17. Burroughs . A. M. . Ando . Y. . De Hoon . M. J. L. . Tomaru . Y. . Nishibu . T. . Ukekawa . R. . Funakoshi . T. . Kurokawa . T. . Suzuki . H. . Hayashizaki . Y. . Daub . C. O. . A comprehensive survey of 3′ animal miRNA modification events and a possible role for 3′ adenylation in modulating miRNA targeting effectiveness . Genome Research . 20 . 10 . 1398–1410 . 2010 . 20719920 . 2945189 . 10.1101/gr.106054.110.
  18. Fernandez-Valverde . S. L. . Taft . R. J. . Mattick . J. S. . Dynamic isomiR regulation in Drosophila development . RNA . 16 . 10 . 1881–1888 . 2010 . 20805289 . 2941097 . 10.1261/rna.2379610.
  19. Wyman . S. K. . Knouf . E. C. . Parkin . R. K. . Fritz . B. R. . Lin . D. W. . Dennis . L. M. . Krouse . M. A. . Webster . P. J. . Tewari . M. . Post-transcriptional generation of miRNA variants by multiple nucleotidyl transferases contributes to miRNA transcriptome complexity . Genome Research . 21 . 9 . 1450–1461 . 2011 . 21813625 . 3166830 . 10.1101/gr.118059.110.