Abstract
The poly(A) tail is a homopolymeric stretch of adenosine at the 3′-end of mature RNA transcripts and its length plays an important role in nuclear export, stability, and translational regulation of mRNA. Existing techniques for genome-wide estimation of poly(A) tail length are based on short-read sequencing. These methods are limited because they sequence a synthetic DNA copy of mRNA instead of the native transcripts. Furthermore, they can identify only a short segment of the transcript proximal to the poly(A) tail which makes it difficult to assign the measured poly(A) length uniquely to a single transcript isoform. With the introduction of native RNA sequencing by Oxford Nanopore Technologies, it is now possible to sequence full-length native RNA. A single long read contains both the transcript and the associated poly(A) tail, thereby making transcriptome-wide isoform-specific poly(A) tail length assessment feasible. We developed tailfindr—an R-based package for estimating poly(A) tail length from Oxford Nanopore sequencing data. In this chapter, we describe in detail the pipeline for transcript isoform-specific poly(A) tail profiling based on native RNA Nanopore sequencing—from library preparation to downstream data analysis with tailfindr.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bardwell VJ, Zarkower D, Edmonds M, Wickens M (1990) The enzyme that adds poly(A) to mRNAs is a classical poly(A) polymerase. Mol Cell Biol 10:846–849. https://doi.org/10.1128/mcb.10.2.846
Huang Y, Carmichael GG (1996) Role of polyadenylation in nucleocytoplasmic transport of mRNA. Mol Cell Biol 16:1534–1542. https://doi.org/10.1128/mcb.16.4.1534
Meyer S, Temme C, Wahle E (2004) Messenger RNA turnover in eukaryotes: pathways and enzymes. Crit Rev Biochem Mol Biol 39:197–216. https://doi.org/10.1080/10409230490513991
Beilharz TH, Preiss T (2007) Widespread use of poly(A) tail length control to accentuate expression of the yeast transcriptome. RNA 13:982–997. https://doi.org/10.1261/rna.569407
Subtelny AO, Eichhorn SW, Chen GR et al (2014) Poly(A)-tail profiling reveals an embryonic switch in translational control. Nature 508:66–71. https://doi.org/10.1038/nature13007
Lima SA, Chipman LB, Nicholson AL et al (2017) Short poly(A) tails are a conserved feature of highly expressed genes. Nat Struct Mol Biol 24:1057–1063. https://doi.org/10.1038/nsmb.3499
Chang H, Lim J, Ha M, Kim VN (2014) TAIL-seq: genome-wide determination of poly(A) tail length and 3′ end modifications. Mol Cell 53:1044–1052. https://doi.org/10.1016/j.molcel.2014.02.007
Woo YM, Kwak Y, Namkoong S et al (2018) TED-Seq identifies the dynamics of poly(A) length during ER stress. Cell Rep 24:3630–3641.e7. https://doi.org/10.1016/j.celrep.2018.08.084
Hite JM, Eckert KA, Cheng KC (1996) Factors affecting fidelity of DNA synthesis during PCR amplification of d(C-A)n•d(G-T)n microsatellite repeats. Nucleic Acids Res 24:2429–2434. https://doi.org/10.1093/nar/24.12.2429
Murray EL, Schoenberg DR (2008) Assays for determining poly(A) tail length and the polarity of mRNA decay in mammalian cells. Methods Enzymol 448:483–504. https://doi.org/10.1016/S0076-6879(08)02624-4
Hommelsheim CM, Frantzeskakis L, Huang M, Ülker B (2014) PCR amplification of repetitive DNA: a limitation to genome editing technologies and many other applications. Sci Rep 4:5052. https://doi.org/10.1038/srep05052
Krause M, Niazi AM, Labun K et al (2019) tailfindr: alignment-free poly(A) length measurement for Oxford Nanopore RNA and DNA sequencing. RNA 25:1229. https://doi.org/10.1261/rna.071332.119
Legnini I, Alles J, Karaiskos N et al (2019) FLAM-seq: full-length mRNA sequencing reveals principles of poly(A) tail length control. Nat Methods 16:879–886. https://doi.org/10.1038/s41592-019-0503-y
Workman RE, Tang AD, Tang PS et al (2019) Nanopore native RNA sequencing of a human poly(A) transcriptome. Nat Methods 16:1297. https://doi.org/10.1038/s41592-019-0617-2
Byrne A, Cole C, Volden R, Vollmers C (2019) Realizing the potential of full-length transcriptome sequencing. Philos Trans R Soc Lond Ser B Biol Sci 374:20190097. https://doi.org/10.1098/rstb.2019.0097
Garalde DR, Snell EA, Jachimowicz D et al (2018) Highly parallel direct RNA sequencing on an array of nanopores. Nat Methods 15:201–206. https://doi.org/10.1038/nmeth.4577
Liu H, Begik O, Lucas MC et al (2019) Accurate detection of m6A RNA modifications in native RNA sequences. Nat Commun 10:4079
Butler TZ, Pavlenok M, Derrington IM et al (2008) Single-molecule DNA detection with an engineered MspA protein nanopore. Proc Natl Acad Sci U S A 105:20647–20652. https://doi.org/10.1073/pnas.0807514106
Cherf GM, Lieberman KR, Rashid H et al (2012) Automated forward and reverse ratcheting of DNA in a nanopore at 5-Å precision. Nat Biotechnol 30:344–348. https://doi.org/10.1038/nbt.2147
Rang FJ, Kloosterman WP, de Ridder J (2018) From squiggle to basepair: computational approaches for improving nanopore sequencing read accuracy. Genome Biol 19:90. https://doi.org/10.1186/s13059-018-1462-9
Jain M, Fiddes IT, Miga KH et al (2015) Improved data analysis for the MinION nanopore sequencer. Nat Methods 12:351–356. https://doi.org/10.1038/nmeth.3290
Wick RR, Judd LM, Holt KE (2019) Performance of neural network basecalling tools for Oxford Nanopore sequencing. Genome Biol 20:129. https://doi.org/10.1186/s13059-019-1727-y
De Coster W, D’Hert S, Schultz DT et al (2018) NanoPack: visualizing and processing long-read sequencing data. Bioinformatics 34:2666–2669. https://doi.org/10.1093/bioinformatics/bty149
Leger A, Leonardi T (2019) pycoQC, interactive quality control for Oxford Nanopore Sequencing. J Open Source Softw 4:1236. https://doi.org/10.21105/joss.01236
Li H (2018) Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics 34:3094–3100. https://doi.org/10.1093/bioinformatics/bty191
Durinck S, Spellman PT, Birney E, Huber W (2009) Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt. Nat Protoc 4:1184–1191. https://doi.org/10.1038/nprot.2009.97
Acknowledgments
Adnan M. Niazi and Maximilian Krause contributed equally to this work.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Niazi, A.M., Krause, M., Valen, E. (2021). Transcript Isoform-Specific Estimation of Poly(A) Tail Length by Nanopore Sequencing of Native RNA. In: Picardi, E. (eds) RNA Bioinformatics. Methods in Molecular Biology, vol 2284. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1307-8_30
Download citation
DOI: https://doi.org/10.1007/978-1-0716-1307-8_30
Published:
Publisher Name: Humana, New York, NY
Print ISBN: 978-1-0716-1306-1
Online ISBN: 978-1-0716-1307-8
eBook Packages: Springer Protocols