Massively Parallel RNA Chemical Mapping with a Reduced Bias MAP-Seq Protocol
Open accessAbstract
Chemical mapping methods probe RNA structure by revealing and leveraging correlations of a nucleotide's structural accessibility or flexibility with its reactivity to various chemical probes. Pioneering work by Lucks and colleagues has expanded this method to probe hundreds of molecules at once on an Illumina sequencing platform, obviating the use of slab gels or capillary electrophoresis on one molecule at a time. Here, we describe optimizations to this method from our lab, resulting in the MAP-seq protocol (Multiplexed Accessibility Probing read out through sequencing), version 1.0. The protocol permits the quantitative probing of thousands of RNAs at once, by several chemical modification reagents, on the time scale of a day using a tabletop Illumina machine. This method and a software package MAPseeker ( http://simtk.org/home/map_seeker ) address several potential sources of bias, by eliminating PCR steps, improving ligation efficiencies of ssDNA adapters, and avoiding problematic heuristics in prior algorithms. We hope that the step-by-step description of MAP-seq 1.0 will help other RNA mapping laboratories to transition from electrophoretic to next-generation sequencing methods and to further reduce the turnaround time and any remaining biases of the protocol.
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Independent of the nucleotide identity 5' of the U, the bond leading to 3' U is a hotspot for in-line nucleophilic attack.
“Thus, independent of the nucleotide identity 5’ of the U, this bond is a hotspot for in-line nucleophilic attack63,65.”
From Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics (2022) · cites this paper as [65]
The Introduction (page unavailable) discusses chemical probing and nucleotide reactivity, and the References list a work on in-line probing. Neither passage addresses whether the bond leading to a 3′ U is a hotspot for in-line nucleophilic attack regardless of the 5′ nucleotide; searches for that mechanism and sequence preference found no supporting passage in our copy. (LLM, conf=0.73)
Experimental — accuracy not yet measuredWe obtained single-nucleotide-resolution measurements of 3030 RNA fragments using In-line-seq.
“In particular, we obtained single-nucleotide-resolution measurements of 3030 RNA fragments using In-line-seq, a version of a low-bias ligation and reverse transcription protocol (MAP-seq)64 adapted here for in-line hydrolysis profiles65 (Fig. 3B).”
From Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics (2022) · cites this paper as [65]
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The RNA moiety of ribonuclease P is the catalytic subunit of the enzyme
Guerrier-Takada, C., Gardiner, K., Marsh, T., Pace, N., & Altman, S. (1983) · Cell · doi:10.1016/0092-8674(83)90117-4 · Cited by 2,684 · see citing works
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Research works printed but not linked: 2
- Pace NR, Thomas BC, Woese CR (1999) Probing RNA structure, function, and history by comparative analysis. In: Gesteland RF, Cech TR, Atkins JF (eds) The RNA World, 2nd Ed Cold Spring Harbor Laboratory Press, pp. 113-141
- Ziehler WA, Engelke DR (2001) Probing RNA structure with chemical reagents and enzymes. Curr Protoc Nucleic Acid Chem Chapter 6, Unit 6 1
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Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics
Leppek, K., Byeon, G. W., Kladwang, W., Wayment-Steele, H. K., Kerr, C. H., Xu, A. F., Kim, D. S., Topkar, V. V., Choe, C., Rothschild, D., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28776-w · Cited by 399 · see citing works
Self-citationCombinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics
Leppek, K., Byeon, G. W., Kladwang, W., Wayment-Steele, H. K., Kerr, C. H., Xu, A. F., Kim, D. S., Topkar, V. V., Choe, C., Rothschild, D., et al. (2021) · doi:10.1101/2021.03.29.437587 · Cited by 399 · see citing works
Self-citationScientific rigor through videogames
Treuille, A., & Das, R. (2014) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2014.08.005 · Cited by 22 · see citing works
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- Authors
- Seetin, M. G., Kladwang, W., Bida, J. P., & Das, R.
- Affiliations
- Stanford University (US)
- Venue
- Methods in Molecular Biology
- Publisher
- Humana Press
- Published
- 2013-09-27
- Volume
- 1086
- Pages
- 95-117
- ISSN
- 1064-3745 (ISSN-L)
- 1940-6029
- OpenAlex
- W1747248992
- Cited by
- 63
- References
- 1
- Citations by year
- 2026: 1 · 2023: 2 · 2022: 4 · 2021: 3 · 2020: 6 · 2019: 4 · 2018: 7 · 2017: 5 · 2016: 9 · 2015: 12 · 2014: 10
- FWCI
- 13.53
- Type
- book chapter
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Methods in molecular biology (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Institutes of Health (5k12gm088033-05)
- National Institute of General Medical Sciences (K12-GM088033, R01GM100953)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA modifications and cancer
- Keywords
- RNA structure, next-generation sequencing, protocol optimization
- MeSH terms
- Base Sequence, Molecular Sequence Data, RNA, Software, Sequence Analysis, RNA, High-Throughput Nucleotide Sequencing
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