Abstract
The world of small noncoding RNAs (sncRNAs) is ever-expanding, from small interfering RNA, microRNA and Piwi-interacting RNA to the recently emerging non-canonical sncRNAs derived from longer structured RNAs (for example, transfer, ribosomal, Y, small nucleolar, small nuclear and vault RNAs), showing distinct biogenesis and functional principles. Here we discuss recent tools for sncRNA identification, caveats in sncRNA expression analysis and emerging methods for direct sequencing of sncRNAs and systematic mapping of RNA modifications that are integral to their function.
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References
Grosshans, H. & Filipowicz, W. Molecular biology: the expanding world of small RNAs. Nature 451, 414–416 (2008).
Storz, G., Vogel, J. & Wassarman, K. M. Regulation by small RNAs in bacteria: expanding frontiers. Mol. Cell 43, 880–891 (2011).
Babski, J. et al. Small regulatory RNAs in Archaea. RNA Biol. 11, 484–493 (2014).
Carthew, R. W. & Sontheimer, E. J. Origins and mechanisms of miRNAs and siRNAs. Cell 136, 642–655 (2009).
Bartel, D. P. Metazoan microRNAs. Cell 173, 20–51 (2018).
Ozata, D. M., Gainetdinov, I., Zoch, A., O’Carroll, D. & Zamore, P. D. PIWI-interacting RNAs: small RNAs with big functions. Nat. Rev. Genet. 20, 89–108 (2019).
Seal, R. L. et al. A guide to naming human non-coding RNA genes. EMBO J. 39, e103777 (2020).
Chen, Q., Zhang, X., Shi, J., Yan, M. & Zhou, T. Origins and evolving functionalities of tRNA-derived small RNAs. Trends Biochem. Sci. 46, 790–804 (2021).
Schimmel, P. The emerging complexity of the tRNA world: mammalian tRNAs beyond protein synthesis. Nat. Rev. Mol. Cell Biol. 19, 45–58 (2018).
Shi, J. et al. PANDORA-seq expands the repertoire of regulatory small RNAs by overcoming RNA modifications. Nat. Cell Biol. 23, 424–436 (2021).
Gu, W. et al. Peripheral blood non-canonical small non-coding RNAs as novel biomarkers in lung cancer. Mol. Cancer 19, 159 (2020).
Cambier, L. et al. Y RNA fragment in extracellular vesicles confers cardioprotection via modulation of IL-10 expression and secretion. EMBO Mol. Med. 9, 337–352 (2017).
Chen, C. J. & Heard, E. Small RNAs derived from structural non-coding RNAs. Methods 63, 76–84 (2013).
Wang, H. et al. CPA-seq reveals small ncRNAs with methylated nucleosides and diverse termini. Cell Discov. 7, 25 (2021).
Taft, R. J. et al. Small RNAs derived from snoRNAs. RNA 15, 1233–1240 (2009).
Ender, C. et al. A human snoRNA with microRNA-like functions. Mol. Cell 32, 519–528 (2008).
Persson, H. et al. The non-coding RNA of the multidrug resistance-linked vault particle encodes multiple regulatory small RNAs. Nat. Cell Biol. 11, 1268–1271 (2009).
Hussain, S. et al. NSun2-mediated cytosine-5 methylation of vault noncoding RNA determines its processing into regulatory small RNAs. Cell Rep. 4, 255–261 (2013).
Pircher, A., Bakowska-Zywicka, K., Schneider, L., Zywicki, M. & Polacek, N. An mRNA-derived noncoding RNA targets and regulates the ribosome. Mol. Cell 54, 147–155 (2014).
Reuther, J. et al. A small ribosome-associated ncRNA globally inhibits translation by restricting ribosome dynamics. RNA Biol. 18, 2617–2632 (2021).
Tuck, A. C. & Tollervey, D. RNA in pieces. Trends Genet. 27, 422–432 (2011).
Schaefer, M. et al. RNA methylation by Dnmt2 protects transfer RNAs against stress-induced cleavage. Genes Dev. 24, 1590–1595 (2010).
Tuorto, F. et al. RNA cytosine methylation by Dnmt2 and NSun2 promotes tRNA stability and protein synthesis. Nat. Struct. Mol. Biol. 19, 900–905 (2012).
Chen, Q. et al. Sperm tsRNAs contribute to intergenerational inheritance of an acquired metabolic disorder. Science 351, 397–400 (2016).
Zhang, Y. et al. Dnmt2 mediates intergenerational transmission of paternally acquired metabolic disorders through sperm small non-coding RNAs. Nat. Cell Biol. 20, 535–540 (2018).
Guzzi, N. et al. Pseudouridylation of tRNA-derived fragments steers translational control in stem cells. Cell 173, 1204–1216 (2018).
Natt, D. et al. Human sperm displays rapid responses to diet. PLoS Biol. 17, e3000559 (2019).
Goodarzi, H. et al. Endogenous tRNA-derived fragments suppress breast cancer progression via YBX1 displacement. Cell 161, 790–802 (2015).
Kim, H. K. et al. A transfer-RNA-derived small RNA regulates ribosome biogenesis. Nature 552, 57–62 (2017).
Balatti, V. et al. tsRNA signatures in cancer. Proc. Natl Acad. Sci. USA 114, 8071–8076 (2017).
Yue, T. et al. SLFN2 protection of tRNAs from stress-induced cleavage is essential for T cell-mediated immunity. Science 372, eaba4220 (2021).
Wang, Q. et al. Identification and functional characterization of tRNA-derived RNA fragments (tRFs) in respiratory syncytial virus infection. Mol. Ther. 21, 368–379 (2013).
Liu, Y. M. et al. Exosome-delivered and Y RNA-derived small RNA suppresses influenza virus replication. J. Biomed. Sci. 26, 58 (2019).
Hogg, M. C. et al. Elevation in plasma tRNA fragments precede seizures in human epilepsy. J. Clin. Invest. 129, 2946–2951 (2019).
Zhang, X. et al. Small RNA modifications in Alzheimer’s disease. Neurobiol. Dis. 145, 105058 (2020).
Blanco, S. et al. Stem cell function and stress response are controlled by protein synthesis. Nature 534, 335–340 (2016).
Sajini, A. A. et al. Loss of 5-methylcytosine alters the biogenesis of vault-derived small RNAs to coordinate epidermal differentiation. Nat. Commun. 10, 2550 (2019).
Krishna, S. et al. Dynamic expression of tRNA-derived small RNAs define cellular states. EMBO Rep. 20, e47789 (2019).
Kfoury, Y. S. et al. tiRNA signaling via stress-regulated vesicle transfer in the hematopoietic niche. Cell Stem Cell 28, 2090–2103 (2021).
Schorn, A. J., Gutbrod, M. J., LeBlanc, C. & Martienssen, R. LTR-retrotransposon control by tRNA-derived small RNAs. Cell 170, 61–71 (2017).
Martinez, G., Choudury, S. G. & Slotkin, R. K. tRNA-derived small RNAs target transposable element transcripts. Nucleic Acids Res. 45, 5142–5152 (2017).
Sarker, G. et al. Maternal overnutrition programs hedonic and metabolic phenotypes across generations through sperm tsRNAs. Proc. Natl Acad. Sci. USA 116, 10547–10556 (2019).
Sharma, U. et al. Biogenesis and function of tRNA fragments during sperm maturation and fertilization in mammals. Science 351, 391–396 (2016).
Wahba, L., Hansen, L. & Fire, A. Z. An essential role for the piRNA pathway in regulating the ribosomal RNA pool in C. elegans. Dev. Cell 56, 2295–2312 (2021).
Zhang, Y. et al. Angiogenin mediates paternal inflammation-induced metabolic disorders in offspring through sperm tsRNAs. Nat. Commun. 12, 6673 (2021).
Honda, S. et al. Sex hormone-dependent tRNA halves enhance cell proliferation in breast and prostate cancers. Proc. Natl Acad. Sci. USA 112, E3816-25 (2015).
Cozen, A. E. et al. ARM-seq: AlkB-facilitated RNA methylation sequencing reveals a complex landscape of modified tRNA fragments. Nat. Methods 12, 879–884 (2015).
Zhang, X., Cozen, A. E., Liu, Y., Chen, Q. & Lowe, T. M. Small RNA modifications: integral to function and disease. Trends Mol. Med. 22, 1025–1034 (2016).
Huang, X., Fejes Toth, K. & Aravin, A. A. piRNA biogenesis in Drosophila melanogaster. Trends Genet. 33, 882–894 (2017).
Shabalina, S. A. & Koonin, E. V. Origins and evolution of eukaryotic RNA interference. Trends Ecol. Evol. 23, 578–587 (2008).
Raad, N., Luidalepp, H., Fasnacht, M. & Polacek, N. Transcriptome-wide analysis of stationary phase small ncRNAs in E. coli. Int. J. Mol. Sci. 22, 1703 (2021).
Lee, S. R. & Collins, K. Starvation-induced cleavage of the tRNA anticodon loop in Tetrahymena thermophila. J. Biol. Chem. 280, 42744–42749 (2005).
Thompson, D. M., Lu, C., Green, P. J. & Parker, R. tRNA cleavage is a conserved response to oxidative stress in eukaryotes. RNA 14, 2095–2103 (2008).
Gebetsberger, J., Zywicki, M., Kunzi, A. & Polacek, N. tRNA-derived fragments target the ribosome and function as regulatory non-coding RNA in Haloferax volcanii. Archaea 2012, 260909 (2012).
Garcia-Silva, M. R. et al. Extracellular vesicles shed by Trypanosoma cruzi are linked to small RNA pathways, life cycle regulation, and susceptibility to infection of mammalian cells. Parasitol. Res. 113, 285–304 (2014).
Fricker, R. et al. A tRNA half modulates translation as stress response in Trypanosoma brucei. Nat. Commun. 10, 118 (2019).
Peng, H. et al. A novel class of tRNA-derived small RNAs extremely enriched in mature mouse sperm. Cell Res. 22, 1609–1612 (2012).
Dhahbi, J. M. et al. 5′ tRNA halves are present as abundant complexes in serum, concentrated in blood cells, and modulated by aging and calorie restriction. BMC Genomics 14, 298 (2013).
Zhang, Y. et al. Identification and characterization of an ancient class of small RNAs enriched in serum associating with active infection. J. Mol. Cell Biol. 6, 172–174 (2014).
Raabe, C. A., Tang, T. H., Brosius, J. & Rozhdestvensky, T. S. Biases in small RNA deep sequencing data. Nucleic Acids Res. 42, 1414–1426 (2014).
Jayaprakash, A. D., Jabado, O., Brown, B. D. & Sachidanandam, R. Identification and remediation of biases in the activity of RNA ligases in small-RNA deep sequencing. Nucleic Acids Res. 39, e141 (2011).
Saunders, K. et al. Insufficiently complex unique-molecular identifiers (UMIs) distort small RNA sequencing. Sci. Rep. 10, 14593 (2020).
Faridani, O. R. et al. Single-cell sequencing of the small-RNA transcriptome. Nat. Biotechnol. 34, 1264–1266 (2016).
Yang, Q. et al. Single-cell CAS-seq reveals a class of short PIWI-interacting RNAs in human oocytes. Nat. Commun. 10, 3389 (2019).
Shi, J., Ko, E. A., Sanders, K. M., Chen, Q. & Zhou, T. SPORTS1.0: a tool for annotating and profiling non-coding RNAs optimized for rRNA- and tRNA-derived small RNAs. Genomics Proteomics Bioinformatics 16, 144–151 (2018).
Hu, J. F. et al. Quantitative mapping of the cellular small RNA landscape with AQRNA-seq. Nat. Biotechnol. 39, 978–988 (2021).
Loven, J. et al. Revisiting global gene expression analysis. Cell 151, 476–482 (2012).
Ji, L. & Chen, X. Regulation of small RNA stability: methylation and beyond. Cell Res. 22, 624–636 (2012).
Frye, M., Harada, B. T., Behm, M. & He, C. RNA modifications modulate gene expression during development. Science 361, 1346–1349 (2018).
Flynn, R. A. et al. Small RNAs are modified with N-glycans and displayed on the surface of living cells. Cell 184, 3109–3124 (2021).
Suzuki, T. The expanding world of tRNA modifications and their disease relevance. Nat. Rev. Mol. Cell Biol. 22, 375–392 (2021).
Schaefer, M., Pollex, T., Hanna, K. & Lyko, F. RNA cytosine methylation analysis by bisulfite sequencing. Nucleic Acids Res. 37, e12 (2009).
Sakurai, M. & Suzuki, T. Biochemical identification of A-to-I RNA editing sites by the inosine chemical erasing (ICE) method. Methods Mol. Biol. 718, 89–99 (2011).
Schwartz, S. et al. Transcriptome-wide mapping reveals widespread dynamic-regulated pseudouridylation of ncRNA and mRNA. Cell 159, 148–162 (2014).
Carlile, T. M. et al. Pseudouridine profiling reveals regulated mRNA pseudouridylation in yeast and human cells. Nature 515, 143–146 (2014).
Hussain, S., Aleksic, J., Blanco, S., Dietmann, S. & Frye, M. Characterizing 5-methylcytosine in the mammalian epitranscriptome. Genome Biol. 14, 215 (2013).
Dominissini, D. et al. Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq. Nature 485, 201–206 (2012).
Meyer, K. D. et al. Comprehensive analysis of mRNA methylation reveals enrichment in 3′ UTRs and near stop codons. Cell 149, 1635–1646 (2012).
Sas-Chen, A. et al. Dynamic RNA acetylation revealed by quantitative cross-evolutionary mapping. Nature 583, 638–643 (2020).
Li, X. et al. Base-resolution mapping reveals distinct m1A methylome in nuclear- and mitochondrial-encoded transcripts. Mol. Cell 68, 993–1005 (2017).
Begik, O. et al. Quantitative profiling of pseudouridylation dynamics in native RNAs with nanopore sequencing. Nat. Biotechnol. 39, 1278–1291 (2021).
Liu, H. et al. Accurate detection of m6A RNA modifications in native RNA sequences. Nat. Commun. 10, 4079 (2019).
Parker, M. T. et al. Nanopore direct RNA sequencing maps the complexity of Arabidopsis mRNA processing and m6A modification. eLife 9, e49658 (2020).
Werner, S. et al. Machine learning of reverse transcription signatures of variegated polymerases allows mapping and discrimination of methylated purines in limited transcriptomes. Nucleic Acids Res. 48, 3734–3746 (2020).
Khoddami, V. et al. Transcriptome-wide profiling of multiple RNA modifications simultaneously at single-base resolution. Proc. Natl Acad. Sci. USA 116, 6784–6789 (2019).
Behrens, A., Rodschinka, G. & Nedialkova, D. D. High-resolution quantitative profiling of tRNA abundance and modification status in eukaryotes by mim-tRNAseq. Mol. Cell 81, 1802–1815 (2021).
Sas-Chen, A. & Schwartz, S. Misincorporation signatures for detecting modifications in mRNA: not as simple as it sounds. Methods 156, 53–59 (2019).
Owens, M. C., Zhang, C. & Liu, K. F. Recent technical advances in the study of nucleic acid modifications. Mol. Cell 81, 4116–4136 (2021).
Alfonzo, J. D. et al. A call for direct sequencing of full-length RNAs to identify all modifications. Nat. Genet. 53, 1113–1116 (2021).
Ross, R.L., Cao, X. & Limbach, P.A. Mapping post-transcriptional modifications onto transfer ribonucleic acid sequences by liquid chromatography tandem mass spectrometry. Biomolecules 7, 21 (2017).
Kimura, S., Dedon, P. C. & Waldor, M. K. Comparative tRNA sequencing and RNA mass spectrometry for surveying tRNA modifications. Nat. Chem. Biol. 16, 964–972 (2020).
Sample, P. J., Gaston, K. W., Alfonzo, J. D. & Limbach, P. A. RoboOligo: software for mass spectrometry data to support manual and de novo sequencing of post-transcriptionally modified ribonucleic acids. Nucleic Acids Res. 43, e64 (2015).
Bjorkbom, A. et al. Bidirectional direct sequencing of noncanonical RNA by two-dimensional analysis of mass chromatograms. J. Am. Chem. Soc. 137, 14430–14438 (2015).
Zhang, N. et al. A general LC-MS-based RNA sequencing method for direct analysis of multiple-base modifications in RNA mixtures. Nucleic Acids Res. 47, e125 (2019).
Zhang, N. et al. Direct sequencing of tRNA by 2D-HELS-AA MS Seq reveals its different isoforms and dynamic base modifications. ACS Chem. Biol. 15, 1464–1472 (2020).
Zhang, S. et al. MLC-Seq: de novo sequencing of full-length tRNAs and quantitative mapping of multiple RNA modifications. Preprint at Researchsquare https://doi.org/10.21203/rs.3.rs-1090754/v1 (2021).
Kasianowicz, J. J., Brandin, E., Branton, D. & Deamer, D. W. Characterization of individual polynucleotide molecules using a membrane channel. Proc. Natl Acad. Sci. USA 93, 13770–13773 (1996).
Wang, S., Zhao, Z., Haque, F. & Guo, P. Engineering of protein nanopores for sequencing, chemical or protein sensing and disease diagnosis. Curr. Opin. Biotechnol. 51, 80–89 (2018).
Thomas, N.K. et al. Direct nanopore sequencing of individual full length tRNA strands. ACS Nano 15, 16642–16653 (2021).
Garalde, D. R. et al. Highly parallel direct RNA sequencing on an array of nanopores. Nat. Methods 15, 201–206 (2018).
Smith, A. M., Jain, M., Mulroney, L., Garalde, D. R. & Akeson, M. Reading canonical and modified nucleobases in 16S ribosomal RNA using nanopore native RNA sequencing. PLoS ONE 14, e0216709 (2019).
Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).
Vilfan, I. D. et al. Analysis of RNA base modification and structural rearrangement by single-molecule real-time detection of reverse transcription. J. Nanobiotechnol. 11, 8 (2013).
Zhuang, X. Spatially resolved single-cell genomics and transcriptomics by imaging. Nat. Methods 18, 18–22 (2021).
Larsson, L., Frisen, J. & Lundeberg, J. Spatially resolved transcriptomics adds a new dimension to genomics. Nat. Methods 18, 15–18 (2021).
Zhang, Y., Shi, J., Rassoulzadegan, M., Tuorto, F. & Chen, Q. Sperm RNA code programmes the metabolic health of offspring. Nat. Rev. Endocrinol. 15, 489–498 (2019).
Townshend, R. J. L. et al. Geometric deep learning of RNA structure. Science 373, 1047–1051 (2021).
Honda, S., Morichika, K. & Kirino, Y. Selective amplification and sequencing of cyclic phosphate-containing RNAs by the cP-RNA-seq method. Nat. Protoc. 11, 476–489 (2016).
Akat, K. M. et al. Detection of circulating extracellular mRNAs by modified small-RNA-sequencing analysis. JCI Insight 5, e127317 (2019).
Kugelberg, U., Natt, D., Skog, S., Kutter, C. & Ost, A. 5′ XP sRNA-seq: efficient identification of transcripts with and without 5′ phosphorylation reveals evolutionary conserved small RNA. RNA Biol. 18, 1588–1599 (2021).
Xu, H., Yao, J., Wu, D. C. & Lambowitz, A. M. Improved TGIRT-seq methods for comprehensive transcriptome profiling with decreased adapter dimer formation and bias correction. Sci. Rep. 9, 7953 (2019).
Haussecker, D. et al. Human tRNA-derived small RNAs in the global regulation of RNA silencing. RNA 16, 673–695 (2010).
Yamasaki, S., Ivanov, P., Hu, G. F. & Anderson, P. Angiogenin cleaves tRNA and promotes stress-induced translational repression. J. Cell Biol. 185, 35–42 (2009).
Lee, Y. S., Shibata, Y., Malhotra, A. & Dutta, A. A novel class of small RNAs: tRNA-derived RNA fragments (tRFs). Genes Dev. 23, 2639–2649 (2009).
Shigematsu, M., Kawamura, T. & Kirino, Y. Generation of 2′,3′-cyclic phosphate-containing RNAs as a hidden layer of the transcriptome. Front. Genet. 9, 562 (2018).
Dai, H. & Gu, W. Strategies and best practice in cloning small RNAs. Gene Technol. 9, 151 (2020).
Zheng, G. et al. Efficient and quantitative high-throughput tRNA sequencing. Nat. Methods 12, 835–837 (2015).
Dai, Q., Zheng, G., Schwartz, M. H., Clark, W. C. & Pan, T. Selective enzymatic demethylation of N2,N2-dimethylguanosine in RNA and its application in high-throughput tRNA sequencing. Angew. Chem. Int. Ed. 56, 5017–5020 (2017).
Upton, H. E. et al. Low-bias ncRNA libraries using ordered two-template relay: serial template jumping by a modified retroelement reverse transcriptase. Proc. Natl Acad. Sci. USA 118, e2107900118 (2021).
Cech, T. R. & Steitz, J. A. The noncoding RNA revolution-trashing old rules to forge new ones. Cell 157, 77–94 (2014).
Helwak, A., Kudla, G., Dudnakova, T. & Tollervey, D. Mapping the human miRNA interactome by CLASH reveals frequent noncanonical binding. Cell 153, 654–665 (2013).
Shen, E. Z. et al. Identification of piRNA binding sites reveals the Argonaute regulatory landscape of the C. elegans germline. Cell 172, 937–951 (2018).
Kumar, P., Anaya, J., Mudunuri, S. B. & Dutta, A. Meta-analysis of tRNA derived RNA fragments reveals that they are evolutionarily conserved and associate with AGO proteins to recognize specific RNA targets. BMC Biol. 12, 78 (2014).
Guan, L., Karaiskos, S. & Grigoriev, A. Inferring targeting modes of Argonaute-loaded tRNA fragments. RNA Biol. 17, 1070–1080 (2020).
Guan, L. & Grigoriev, A. Computational meta-analysis of ribosomal RNA fragments: potential targets and interaction mechanisms. Nucleic Acids Res. 49, 4085–4103 (2021).
Acknowledgements
We thank P. Schimmel (The Scripps Research Institute), X. Chen (UC Riverside) and our laboratory members for critical discussions on the contents of the manuscript. Research in the Q.C. laboratory is in part supported by the National Institutes of Health (NIH grant nos R01HD092431, R01ES032024 and P50HD098593). The T.Z. laboratory is in part supported by the NIH (grant no. R01ES032024).
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Shi, J., Zhou, T. & Chen, Q. Exploring the expanding universe of small RNAs. Nat Cell Biol 24, 415–423 (2022). https://doi.org/10.1038/s41556-022-00880-5
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DOI: https://doi.org/10.1038/s41556-022-00880-5
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