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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.
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“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]
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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
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Sanbonmatsu, K. Y. (2021) · Mammalian Genome · doi:10.1007/s00335-021-09924-x · Cited by 41
Nititham, J., Taylor, K. E., Gupta, R., Chen, H., Ahn, R. S., Liu, J., Seielstad, M. T., Ma, A. I., Bowcock, A. M., Criswell, L. A., et al. (2014) · Genes and Immunity · doi:10.1038/gene.2014.75 · Cited by 37
smORFer: a modular algorithm to detect small ORFs in prokaryotes
Bartholomäus, A., Kolte, B., Mustafayeva, A., Goebel, I., Fuchs, S., Benndorf, D., Engelmann, S., & Ignatova, Z. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab477 · Cited by 36
Terai, G., Kamegai, S., & Asai, K. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btv678 · Cited by 36
Gaither, J., Lammi, G., Li, J., Gordon, D. M., Kuck, H. C., Kelly, B., Fitch, J., & White, P. (2021) · GigaScience · doi:10.1093/gigascience/giab023 · Cited by 35
Modulation of pre-mRNA structure by hnRNP proteins regulates alternative splicing of MALT1
Jones, A. N., Graß, C., Meininger, I., Geerlof, A., Klostermann, M., Zarnack, K., Krappmann, D., & Sattler, M. (2022) · Science Advances · doi:10.1126/sciadv.abp9153 · Cited by 35
The role of RNA modification in hepatocellular carcinoma
Feng, Q., Wang, D., Xue, T., Lin, C., Gao, Y., Sun, L., Jin, Y., & Liu, D. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.984453 · Cited by 37
PTPA variants and impaired PP2A activity in early-onset parkinsonism with intellectual disability
Fevga, C., Tesson, C., Mascaro, A. C., Courtin, T., van Coller, R., Sakka, S., Ferraro, F., Farhat, N., Bardien, S., Damak, M., et al. (2022) · Brain · doi:10.1093/brain/awac326 · Cited by 34
Self-citationregSNPs-splicing: a tool for prioritizing synonymous single-nucleotide substitution
Zhang, X., Li, M., Lin, H., Rao, X., Feng, W., Yang, Y., Mort, M. E., Cooper, D. N., Wang, Y., Wang, Y., et al. (2017) · Human Genetics · doi:10.1007/s00439-017-1783-x · Cited by 35
Long-read sequencing for 29 immune cell subsets reveals disease-linked isoforms
Inamo, J., Suzuki, A., Ueda, M. T., Yamaguchi, K., Nishida, H., Suzuki, K., Kaneko, Y., Takeuchi, T., Hatano, H., Ishigaki, K., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48615-4 · Cited by 37
Widespread genome transcription: New possibilities for RNA therapies
Takahashi, H., & Carninci, P. (2014) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2014.08.139 · Cited by 34
Human Long Noncoding RNAs Are Substantially Less Folded than Messenger RNAs
Yang, J., & Zhang, J. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/msu402 · Cited by 32
Self-citationAlternative polyadenylation confers PtenmRNAs stability and resistance to microRNAs
Thivierge, C., Tseng, H.-W., Mayya, V. K., Lussier, C. R., Gravel, S., & Duchaîne, T. F. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky666 · Cited by 34
Conformational Dynamics of the RNA G-Quadruplex and its Effect on Translation Efficiency
Endoh, T., & Sugimoto, N. (2019) · Molecules · doi:10.3390/molecules24081613 · Cited by 33
mRNA nuclear export: how mRNA identity features distinguish functional RNAs from junk transcripts
Palazzo, A. F., Qiu, Y., & Kang, Y. M. (2023) · RNA Biology · doi:10.1080/15476286.2023.2293339 · Cited by 32
Xin, T., Zhang, Z., Zhang, Y., Li, X., Wang, S., Wang, G., Li, H., Wang, B., Zhang, M., Li, W., et al. (2025) · Cell · doi:10.1016/j.cell.2025.06.007 · Cited by 33
p53mRNA and p53 Protein Structures Have Evolved Independently to Interact with MDM2
Karakostis, K., Ponnuswamy, A., Fusée, L. T. S., Bailly, X., Laguerre, L., Worrall, E. G., Vojtesek, B., Nylander, K., & Fåhræus, R. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw012 · Cited by 35
Tissue-specific changes in the RNA structurome mediate salinity response in Arabidopsis
Tack, D. C., Su, Z. Z., Yu, Y., Bevilacqua, P. C., & Assmann, S. M. (2020) · RNA · doi:10.1261/rna.072850.119 · Cited by 34
Towards structural classification of long non-coding RNAs
Sanbonmatsu, K. Y. (2015) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2015.09.011 · Cited by 32
Extensive allele‐specific translational regulation in hybrid mice
Hou, J., Wang, X., McShane, E., Zauber, H., Sun, W., Selbach, M., & Chen, W. (2015) · Molecular Systems Biology · doi:10.15252/msb.156240 · Cited by 33
Shatoff, E., & Bundschuh, R. A. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007852 · Cited by 36
Defining Essentiality Score of Protein-Coding Genes and Long Noncoding RNAs
Zeng, P., Chen, J., Meng, Y., Zhou, Y., Yang, J., & Cui, Q. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00380 · Cited by 31
He, F., Wei, R., Zhou, Z. M., Huang, L., Wang, Y., Tang, J., Zou, Y., Shi, L. M., Gu, X., Davis, M. J., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-44489-5 · Cited by 31
RNA Conformation Capture by Proximity Ligation
Kudla, G., Wan, Y., & Helwak, A. (2020) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-120219-073756 · Cited by 28
Self-citationLead-seq: transcriptome-wide structure probing in vivo using lead(II) ions
Twittenhoff, C., Brandenburg, V. B., Righetti, F., Nuss, A. M., Mosig, A., Dersch, P., & Narberhaus, F. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa404 · Cited by 31
RNA structure determination: From 2D to 3D
Deng, J., Fang, X., Huang, L., Li, S., Xu, L., Ye, K., Zhang, J., Zhang, K., & Zhang, Q. C. (2023) · Fundamental Research · doi:10.1016/j.fmre.2023.06.001 · Cited by 33
Self-citationStrand-specific RNA-sequencing analysis of multiple system atrophy brain transcriptome
Mills, J. D., Ward, M., Kim, W. S., Halliday, G. M., & Janitz, M. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.02.042 · Cited by 30
Yang, Y., Li, X., Zhao, H., Zhan, J., Wang, J., & Zhou, Y. (2016) · RNA · doi:10.1261/rna.057364.116 · Cited by 30
Fang, J., Ma, Q., Chu, C., Huang, B., Li, L., Cai, P., Batista, P. J., Tolentino, K., Xu, J., Li, R., et al. (2019) · Genome biology · doi:10.1186/s13059-019-1880-3 · Cited by 28
Self-citationHan, Z., Xue, W., Tao, L., Lou, Y., Qiu, Y., & Zhu, F. (2019) · Briefings in Bioinformatics · doi:10.1093/bib/bbz036 · Cited by 31
Li, Y., Challagundla, K. B., Sun, X., Zhang, Q., & Dai, M. (2014) · Oncotarget · doi:10.18632/oncotarget.2728 · Cited by 29
Self-citationRighetti, F., & Narberhaus, F. (2014) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2014.00132 · Cited by 29
Multiple competing RNA structures dynamically control alternative splicing in the human ATE1 gene
Kalinina, M., Skvortsov, D. A., Kalmykova, S., Ivanov, T. M., Донцова, О. А., & Pervouchine, D. D. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa1208 · Cited by 29
Yang, X., Yu, H., Sun, W., Ding, L., Ji, L., Cheema, J., Ramirez-Gonzalez, R. H., Zhao, X., Martín, A. C., Lü, F., et al. (2021) · Genome biology · doi:10.1186/s13059-021-02549-y · Cited by 27
Kawaguchi, R. K., & Kiryu, H. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-1067-9 · Cited by 28
Takahashi, H., Kozhuharova, A., Sharma, H., Hirose, M., Ohyama, T., Fasolo, F., Yamazaki, T., Cotella, D., Santoro, C., Zucchelli, S., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0183229 · Cited by 28
Advances in the role of m6A RNA modification in cancer metabolic reprogramming
Han, X., Wang, L., & Han, Q. (2020) · Cell & Bioscience · doi:10.1186/s13578-020-00479-z · Cited by 28
Global analysis of regulatory divergence in the evolution of mouse alternative polyadenylation
Xiao, M., Zhang, B., Li, Y., Gao, Q., Sun, W., & Chen, W. (2016) · Molecular Systems Biology · doi:10.15252/msb.20167375 · Cited by 27
Ren, C., Liu, F., Ouyang, Z., An, G., Zhao, C., Shuai, J., Cai, S., Bo, X., & Shu, W. (2017) · Scientific Reports · doi:10.1038/s41598-017-15822-7 · Cited by 31
Self-citationShort template switch events explain mutation clusters in the human genomePreprint
Löytynoja, A., & Goldman, N. (2017) · Genome Research · doi:10.1101/gr.214973.116 · Cited by 26
Rational experiment design for sequencing-based RNA structure mapping
Aviran, S., & Pachter, L. S. (2014) · RNA · doi:10.1261/rna.043844.113 · Cited by 27
Coding Regions of Intrinsic Disorder Accommodate Parallel Functions
Pancsa, R., & Tompa, P. (2016) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2016.08.009 · Cited by 27
Lackey, L., Coria, A. R., Woods, C. T., McArthur, E., & Laederach, A. (2018) · RNA · doi:10.1261/rna.064469.117 · Cited by 26
A comparison of CRISPR/Cas9 and siRNA-mediated ALDH2 gene silencing in human cell lines
Wang, F., Guo, T., Jiang, H., Li, R., Wang, T., Zeng, N., Dong, G., Zeng, X., Li, D., Xiao, Y., et al. (2018) · Molecular Genetics and Genomics · doi:10.1007/s00438-018-1420-y · Cited by 27
Bayoumi, A., Elsayed, A., Han, S., Petta, S., Adams, L. A., Aller, R., Khan, A., García‐Monzón, C., Arias, M., Miele, L., et al. (2021) · Advanced Science · doi:10.1002/advs.202004168 · Cited by 26
Roadmap to the epitranscriptome
Dominissini, D. (2014) · Science · doi:10.1126/science.aaa1807 · Cited by 28
A Method for RNA Structure Prediction Shows Evidence for Structure in lncRNAs
Ponti, R. D., Armaos, A., Marti, S., & Tartaglia, G. G. (2018) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2018.00111 · Cited by 28
Computational analysis of RNA structures with chemical probing data
Ge, P., & Zhang, S. (2015) · Methods · doi:10.1016/j.ymeth.2015.02.003 · Cited by 26
Small molecule targeting of RNA structures in neurological disorders
Angelbello, A. J., Chen, J. L., & Disney, M. D. (2019) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14051 · Cited by 26
Andrzejewska-Romanowska, A., Zawadzka, M., & Pachulska‐Wieczorek, K. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21186770 · Cited by 27
Shaw, D., Chen, H., Xie, M., & Jiang, T. (2021) · BMC Bioinformatics · doi:10.1186/s12859-020-03914-7 · Cited by 27
Vandelli, A., Cid-Samper, F., Torrent, M., de Groot, N. S., & Tartaglia, G. G. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.167159 · Cited by 26
Three-dimensional genome organization via triplex-forming RNAs
Farabella, I., Stefano, M. D., Soler-Vila, P., Marti-Marimon, M., & Martı́-Renom, M. A. (2021) · Nature Structural & Molecular Biology · doi:10.1038/s41594-021-00678-3 · Cited by 26
Systems Biology-Derived Discoveries of Intrinsic Clocks
Millius, A., & Ueda, H. R. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00025 · Cited by 27
Nakanishi, H., Miki, K., Komatsu, K. R., Umeda, M., Mochizuki, M., Inagaki, A., Yoshida, Y., & Saito, H. (2017) · Biomaterials · doi:10.1016/j.biomaterials.2017.02.033 · Cited by 25
Embryonic canalization and its limits—A view from temperature
Irvine, S. Q. (2020) · Journal of Experimental Zoology Part B Molecular and Developmental Evolution · doi:10.1002/jez.b.22930 · Cited by 25
Wang, J., Amin, A., Cheung, M. H., Shi, L., & Liang, C. (2022) · Cancer Letters · doi:10.1016/j.canlet.2022.215677 · Cited by 27
dStruct: identifying differentially reactive regions from RNA structurome profiling data
Choudhary, K., Lai, Y.-H., Tran, E. J., & Aviran, S. (2019) · Genome biology · doi:10.1186/s13059-019-1641-3 · Cited by 22
Alternate RNA StructuresPreprint
Wu, M. T.-P., & D’Souza, V. M. (2020) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a032425 · Cited by 27
LncRNA secondary structure in the cardiovascular system
Martens, L., Rühle, F., & Stoll, M. (2017) · Non-coding RNA Research · doi:10.1016/j.ncrna.2017.12.001 · Cited by 23
PATTERNA: transcriptome-wide search for functional RNA elements via structural data signatures
Ledda, M., & Aviran, S. (2018) · Genome biology · doi:10.1186/s13059-018-1399-z · Cited by 24
Ferrero‐Serrano, Á., Sylvia, M. M., Forstmeier, P. C., Olson, A. J., Ware, D., Bevilacqua, P. C., & Assmann, S. M. (2022) · Genome biology · doi:10.1186/s13059-022-02656-4 · Cited by 24
Enhanced transcriptome-wide RNA G-quadruplex sequencing for low RNA input samples with rG4-seq 2.0
Zhao, J., Chow, E. Y., Yeung, P. Y., Zhang, Q. C., Chan, T., & Kwok, C. K. (2022) · BMC Biology · doi:10.1186/s12915-022-01448-3 · Cited by 22
Self-citationnextPARS: parallel probing of RNA structures in Illumina
Saus, E., Willis, J. R., Pryszcz, L. P., Hafez, A. I., Lloréns, C., Himmelbauer, H., & Gabaldón, T. (2018) · RNA · doi:10.1261/rna.063073.117 · Cited by 22
Chemical Annealing Restructures RNA for Nanopore Detection
Platnich, C. M., Earle, M. K., & Keyser, U. F. (2024) · Journal of the American Chemical Society · doi:10.1021/jacs.4c03753 · Cited by 23
Martens, L., Rühle, F., Witten, A., Meder, B., Katus, H. A., Arbustini, E., Hasenfuss, G. P., Sinner, M. F., Kääb, S., Pankuweit, S., et al. (2021) · RNA Biology · doi:10.1080/15476286.2021.1952756 · Cited by 23
Zhang, C., Zhang, P., Ren, H., Jia, P., Ji, J., Cao, L., Yang, P., Li, Y., Liu, J., Li, Z., et al. (2022) · Chemical Engineering Journal · doi:10.1016/j.cej.2022.136864 · Cited by 23
Role of RNA secondary structures in regulating Dscam alternative splicing
Xu, B., Shi, Y., Wu, Y., Meng, Y., & Jin, Y. (2019) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2019.04.008 · Cited by 27
H19/miR-675-5p Targeting SFN Enhances the Invasion and Metastasis of Nasalpharyngeal Cancer Cells
Zhang, T., Lei, F., Jiang, T., Xie, L., Huang, P., Li, P., Huang, Y., Tang, X., Gong, J., Lin, Y., et al. (2019) · Current Molecular Pharmacology · doi:10.2174/1874467212666190719120446 · Cited by 23
Nascent RNA folding mitigates transcription-associated mutagenesisPreprint
Chen, X., Yang, J., & Zhang, J. (2015) · Genome Research · doi:10.1101/gr.195164.115 · Cited by 22
Self-citationSystematic probing of the bacterial RNA structurome to reveal new functions
Ignatova, Z., & Narberhaus, F. (2017) · Current Opinion in Microbiology · doi:10.1016/j.mib.2017.01.003 · Cited by 21
Vazquez-Anderson, J., Mihailovic, M. K., Baldridge, K. C., Reyes, K. G., Haning, K., Cho, S. H., Amador, P., Powell, W. B., & Contreras, L. M. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx115 · Cited by 23
Advances and challenges towards the study of RNA-RNA interactions in a transcriptome-wide scale
Gong, J., Ju, Y., Shao, D., & Zhang, Q. C. (2018) · Quantitative Biology · doi:10.1007/s40484-018-0146-5 · Cited by 24
Self-citationProtein synthesis as an integral quality control mechanism during ageing
Charmpilas, N., Daskalaki, I., Papandreou, M., & Tavernarakis, N. (2014) · Ageing Research Reviews · doi:10.1016/j.arr.2014.12.008 · Cited by 21
Protein Interaction Profile Sequencing (PIP‐seq)
Foley, S. W., & Gregory, B. D. (2016) · Current Protocols in Molecular Biology · doi:10.1002/cpmb.21 · Cited by 22
Disease-associated human genetic variation through the lens of precursor and mature RNA structure
Waldern, J. M., Kumar, J., & Laederach, A. (2021) · Human Genetics · doi:10.1007/s00439-021-02395-9 · Cited by 22
Tants, J., Becker, L. M., McNicoll, F., Müller-McNicoll, M., & Schlundt, A. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac212 · Cited by 20
LINC00507 Is Specifically Expressed in the Primate Cortex and Has Age-Dependent Expression Patterns
Mills, J. D., Ward, M., Chen, B. J., Iyer, A. M., Aronica, E., & Janitz, M. (2016) · Journal of Molecular Neuroscience · doi:10.1007/s12031-016-0745-4 · Cited by 22
Genome wide analyses uncover allele-specific RNA editing in human and mouse
Zhou, Z., Hu, Y., Li, A., Li, Y., Zhao, H., Wang, S., Otecko, N. O., Zhang, D., Wang, J., Liu, Y., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky613 · Cited by 22
Evolutionary Patterns of Non-Coding RNA in Cardiovascular Biology
Gandhi, S., Rühle, F., & Stoll, M. (2019) · Non-Coding RNA · doi:10.3390/ncrna5010015 · Cited by 20
Drogalis, L. K., & Batey, R. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243155 · Cited by 27
Berkowitz, N., Silverman, I. M., Childress, D. M., Kazan, H., Wang, L., & Gregory, B. D. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-1071-0 · Cited by 20
Wang, H., Zheng, H., Wang, C., Lu, X., Zhao, X., & Li, X. (2017) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2017.02.100 · Cited by 20
Bliim, N., Leshchyns'ka, I., Keable, R., Chen, B. J., Curry-Hyde, A., Gray, L., Sytnyk, V., & Janitz, M. (2019) · Genomics · doi:10.1016/j.ygeno.2018.11.019 · Cited by 17
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Wang, L., Zhong, X., Wang, S., Zhang, H., & Liu, Y. (2021) · BMC Bioinformatics · doi:10.1186/s12859-021-04102-x · Cited by 19
Emerging roles of RNA – RNA interactions in transcriptional regulation
Wang, D., Ye, R., Cai, Z., & Xue, Y. (2022) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1712 · Cited by 20
Widespread autogenous mRNA–protein interactions detected by CLIP-seq
Kapral, T. H., Farnhammer, F., Zhao, W., Lu, Z. J., & Žagrović, B. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac756 · Cited by 20
Genome-Wide Approaches for RNA Structure Probing
Silverman, I. M., Berkowitz, N., Gosai, S. J., & Gregory, B. D. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-29073-7_2 · Cited by 20
Detection of RNA-binding Proteins by In Vitro RNA Pull-down in Adipocyte Culture
Bai, Q., Bai, Z., Xu, S., & Sun, L. (2016) · Journal of Visualized Experiments · doi:10.3791/54207 · Cited by 23
An in Vivo Binding Assay for RNA-Binding Proteins Based on Repression of a Reporter Gene
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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
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