The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
DMS-MaPseq for genome-wide or targeted RNA structure probing in vivo
Open accessAbstract
Coupling of structure-specific in vivo chemical modification to next-generation sequencing is transforming RNA secondary structure studies in living cells. The dominant strategy for detecting in vivo chemical modifications uses reverse transcriptase truncation products, which introduce biases and necessitate population-average assessments of RNA structure. Here we present dimethyl sulfate (DMS) mutational profiling with sequencing (DMS-MaPseq), which encodes DMS modifications as mismatches using a thermostable group II intron reverse transcriptase. DMS-MaPseq yields a high signal-to-noise ratio, can report multiple structural features per molecule, and allows both genome-wide studies and focused in vivo investigations of even low-abundance RNAs. We apply DMS-MaPseq for the first analysis of RNA structure within an animal tissue and to identify a functional structure involved in noncanonical translation initiation. Additionally, we use DMS-MaPseq to compare the in vivo structure of pre-mRNAs with their mature isoforms. These applications illustrate DMS-MaPseq's capacity to dramatically expand in vivo analysis of RNA structure.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Meyer, K. D., Saletore, Y., Zumbo, P., Elemento, O., Mason, C. E., & Jaffrey, S. R. (2012) · Cell · doi:10.1016/j.cell.2012.05.003 · Cited by 4,223
Genome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling
Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. S., & Weissman, J. S. (2009) · Science · doi:10.1126/science.1168978 · Cited by 3,853
Self-citationCoding-Sequence Determinants of Gene Expression in Escherichia coli
Kudla, G., Murray, A. W., Tollervey, D., & Plotkin, J. B. (2009) · Science · doi:10.1126/science.1170160 · Cited by 1,458
In vivo genome-wide profiling of RNA secondary structure reveals novel regulatory features
Ding, Y., Tang, Y., Kwok, C. K., Zhang, Y., Bevilacqua, P. C., & Assmann, S. M. (2014) · Nature · doi:10.1038/nature12756 · Cited by 775
Landscape and variation of RNA secondary structure across the human transcriptome
Wan, Y., Qu, K., Zhang, Q. C., Flynn, R. A., Manor, O., Ouyang, Z., Zhang, J., Spitale, R. C., Snyder, M. P., Segal, E., et al. (2014) · Nature · doi:10.1038/nature12946 · Cited by 555
Control of mammalian translation by mRNA structure near caps
Babendure, J. R., Babendure, J. L., Ding, J.-H., & Tsien, R. Y. (2006) · RNA · doi:10.1261/rna.2309906 · Cited by 339
Cited by
Functional 5′ UTR mRNA structures in eukaryotic translation regulation and how to find them
Leppek, K., Das, R., & Barna, M. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.103 · Cited by 949
The m1A landscape on cytosolic and mitochondrial mRNA at single-base resolution
Safra, M., Sas-Chen, A., Nir, R., Winkler, R., Nachshon, A., Bar-Yaacov, D., Erlacher, M., Rossmanith, W., Stern-Ginossar, N., & Schwartz, S. (2017) · Nature · doi:10.1038/nature24456 · Cited by 646
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
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. (2021) · doi:10.1101/2021.03.29.437587 · Cited by 399
Translational control through ribosome heterogeneity and functional specialization
Gay, D. M., Lund, A. H., & Jansson, M. D. (2022) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2021.07.001 · Cited by 141
Metadata
- Authors
- Zubradt, M., Gupta, P., Persad, S., Lambowitz, A. M., Weissman, J. S., & Rouskin, S.
- Venue
- Nature Methods
- Published
- 2016-11-07
- Volume
- 14
- Issue
- 1
- Pages
- 75-82
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2554920439
- Cited by
- 454
- References
- 6
- FWCI
- 13.09
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: DMS-MaPseq for genome-wide or targeted RNA structure probing in vivo. https://app.cochat.ai/papers/10.1038/nmeth.4057
- The paper
- Zubradt, M., Gupta, P., Persad, S., Lambowitz, A. M., Weissman, J. S., & Rouskin, S. (2017). DMS-MaPseq for genome-wide or targeted RNA structure probing in vivo. Nature Methods. https://doi.org/10.1038/nmeth.4057
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
