The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Landscape and variation of RNA secondary structure across the human transcriptome
Open accessAbstract
In parallel to the genetic code for protein synthesis, a second layer of information is embedded in all RNA transcripts in the form of RNA structure. RNA structure influences practically every step in the gene expression program. However, the nature of most RNA structures or effects of sequence variation on structure are not known. Here we report the initial landscape and variation of RNA secondary structures (RSSs) in a human family trio (mother, father and their child). This provides a comprehensive RSS map of human coding and non-coding RNAs. We identify unique RSS signatures that demarcate open reading frames and splicing junctions, and define authentic microRNA-binding sites. Comparison of native deproteinized RNA isolated from cells versus refolded purified RNA suggests that the majority of the RSS information is encoded within RNA sequence. Over 1,900 transcribed single nucleotide variants (approximately 15% of all transcribed single nucleotide variants) alter local RNA structure. We discover simple sequence and spacing rules that determine the ability of point mutations to impact RSSs. Selective depletion of 'riboSNitches' versus structurally synonymous variants at precise locations suggests selection for specific RNA shapes at thousands of sites, including 3' untranslated regions, binding sites of microRNAs and RNA-binding proteins genome-wide. These results highlight the potentially broad contribution of RNA structure and its variation to gene regulation.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Some studies have shown that protein expression level drops if the 5′-end leader region has more secondary structure5,50–53.”
From Algorithm for optimized mRNA design improves stability and immunogenicity (2023) · cites this paper as [51]
Experimental — accuracy not yet measured
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
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
The International HapMap Project
†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057
Self-citationMicroRNA Targeting Specificity in Mammals: Determinants beyond Seed Pairing
Grimson, A., Farh, K. K.-H., Johnston, W. K., Garrett-Engele, P., Lim, L. P., & Bartel, D. P. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.06.017 · Cited by 3,766
Argonaute HITS-CLIP decodes microRNA–mRNA interaction maps
Chi, S. W., Zang, J. B., Mele, A., & Darnell, R. B. (2009) · Nature · doi:10.1038/nature08170 · Cited by 1,791
Analysis and design of RNA sequencing experiments for identifying isoform regulation
Katz, Y., Wang, E. T., Airoldi, E. M., & Burge, C. B. (2010) · Nature Methods · doi:10.1038/nmeth.1528 · Cited by 1,353
iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution
König, J., Zarnack, K., Rot, G., Curk, T., Kayikci, M., Zupan, B., Turner, D. J., Luscombe, N. M., & Ule, J. (2010) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1838 · Cited by 1,126
The Evolutionary Landscape of Alternative Splicing in Vertebrate Species
Barbosa-Morais, N. L., Irimia, M., Pan, Q., Xiong, H. Y., Gueroussov, S., Lee, L. J., Slobodeniuc, V., Kutter, C., Watt, S., Çolak, R., et al. (2012) · Science · doi:10.1126/science.1230612 · Cited by 1,063
Barash, Y., Calarco, J. A., Gao, W., Pan, Q., Wang, X., Shai, O., Blencowe, B. J., & Frey, B. J. (2010) · Nature · doi:10.1038/nature09000 · Cited by 925
Wilkinson, K. A., Merino, E. J., & Weeks, K. M. (2006) · Nature Protocols · doi:10.1038/nprot.2006.249 · Cited by 775
Genome-wide measurement of RNA secondary structure in yeast
Kertesz, M., Wan, Y., Mazor, E., Rinn, J. L., Nutter, R. C., Chang, H. Y., & Segal, E. (2010) · Nature · doi:10.1038/nature09322 · Cited by 769
Self-citationUnderstanding the transcriptome through RNA structure
Wan, Y., Kertesz, M., Spitale, R. C., Segal, E., & Chang, H. Y. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3049 · Cited by 482
Self-citationRNA SHAPE analysis in living cells
Spitale, R. C., Crisalli, P., Flynn, R. A., Torre, E. A., Kool, E. T., & Chang, H. Y. (2012) · Nature Chemical Biology · doi:10.1038/nchembio.1131 · Cited by 445
Self-citationThe Viral and Cellular MicroRNA Targetome in Lymphoblastoid Cell Lines
Skalsky, R. L., Corcoran, D. L., Gottwein, E., Frank, C. L., Kang, D., Hafner, M., Nusbaum, J. D., Feederle, R., Delecluse, H., Luftig, M. A., et al. (2012) · PLoS Pathogens · doi:10.1371/journal.ppat.1002484 · Cited by 356
Disease-Associated Mutations That Alter the RNA Structural Ensemble
Halvorsen, M., Martin, J. S., Broadaway, S., & Laederach, A. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001074 · Cited by 325
LIN28 Binds Messenger RNAs at GGAGA Motifs and Regulates Splicing Factor Abundance
Wilbert, M. L., Huelga, S. C., Kapeli, K., Stark, T. J., Liang, T. Y., Chen, S., Yan, B. Y., Nathanson, J. L., Hutt, K. R., Lovci, M., et al. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.08.004 · Cited by 270
DGCR8 HITS-CLIP reveals novel functions for the Microprocessor
Macías, S., Plass, M., Stajuda, A., Michlewski, G., Eyras, E., & Cáceres, J. F. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2344 · Cited by 228
A periodic pattern of mRNA secondary structure created by the genetic code
Shabalina, S. A. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl287 · Cited by 202
doRiNA: a database of RNA interactions in post-transcriptional regulation
Anders, G., Mackowiak, S. D., Jens, M., Maaskola, J., Kuntzagk, A., Rajewsky, N., Landthaler, M., & Dieterich, C. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr1007 · Cited by 202
Global Analysis of RNA Secondary Structure in Two Metazoans
Li, F., Zheng, Q., Ryvkin, P., Dragomir, I. C., Desai, Y. B., Aiyer, S., Valladares, O., Yang, J., Bambina, S., Sabin, L. R., et al. (2012) · Cell Reports · doi:10.1016/j.celrep.2011.10.002 · Cited by 133
Ouyang, Z., Snyder, M. P., & Chang, H. Y. (2012) · Genome Research · doi:10.1101/gr.138545.112 · Cited by 116
Self-citationSalari, R., Kimchi‐Sarfaty, C., Gottesman, M. M., & Przytycka, T. M. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1009 · Cited by 100
Evaluating our ability to predict the structural disruption of RNA by SNPs
Ritz, J., Martin, J. S., & Laederach, A. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-s4-s6 · Cited by 58
Marín, R. M., Völlmy, F., von Erlach, T., & Vaníček, J. J. L. (2012) · RNA · doi:10.1261/rna.033282.112 · Cited by 18
Flagged first, then by citations
Cited by
Sorted by citations
Long Noncoding RNAs in Cancer Pathways
Schmitt, A. M., & Chang, H. Y. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.03.010 · Cited by 3,022
Self-citationPost-transcriptional gene regulation by mRNA modifications
Zhao, B. S., Roundtree, I. A., & He, C. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.132 · Cited by 2,469
A census of human RNA-binding proteins
Gerstberger, S., Hafner, M., & Tuschl, T. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3813 · Cited by 2,032
N6-methyladenosine-dependent RNA structural switches regulate RNA–protein interactions
Liu, N., Dai, Q., Zheng, G., He, C., Parisien, M., & Pan, T. (2015) · Nature · doi:10.1038/nature14234 · Cited by 1,988
Dynamic transcriptomic m6A decoration: writers, erasers, readers and functions in RNA metabolism
Yang, Y., Hsu, P. J., Chen, Y.-S., & Yang, Y. (2018) · Cell Research · doi:10.1038/s41422-018-0040-8 · Cited by 1,677
Metadata
- Authors
- Wan, Y., Qu, K., Zhang, Q. C., Flynn, R. A., Manor, O., Ouyang, Z., Zhang, J., Spitale, R. C., Snyder, M. P., Segal, E., & Chang, H. Y.
- Affiliations
- Howard Hughes Medical Institute (US)
- Weizmann Institute of Science (IL)
- Stanford Medicine (US)
- Corresponding author
- Wan, Yue
- Chang, Howard Y.
- ORCID
- Venue
- Nature
- Published
- 2014-01-29
- Volume
- 505
- Issue
- 7485
- Pages
- 706-709
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3973747
- OpenAlex
- W2071717527
- Cited by
- 555
- References
- 26
- Citations by year
- 2026: 29 · 2025: 24 · 2024: 26 · 2023: 30 · 2022: 40 · 2021: 50 · 2020: 52 · 2019: 37 · 2018: 61 · 2017: 40 · 2016: 56 · 2015: 71 · 2014: 39
- FWCI
- 28.31
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Human Genome Research Institute (R01HG004361)
- National Cancer Institute (T32CA009302, P30CA034196)
- 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 regulation and disease
- Keywords
- RNA secondary structure, human transcriptome, single nucleotide variants, RNA structure prediction, gene expression regulation, single-stranded RNA, Arabidopsis thaliana, yeast, non-coding RNA, splice sites, polyadenylation
- MeSH terms
- Base Sequence, Binding Sites, Child, Female, Gene Expression Regulation, Humans, Male, Nucleic Acid Conformation, RNA, Genome, Human, Open Reading Frames, RNA-Binding Proteins, Point Mutation, 3' Untranslated Regions, RNA Splice Sites, MicroRNAs, Transcriptome
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