The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Functions and Regulation of RNA Editing by ADAR Deaminases
Abstract
One type of RNA editing converts adenosines to inosines (A→I editing) in double-stranded RNA (dsRNA) substrates. A→I RNA editing is mediated by adenosine deaminase acting on RNA (ADAR) enzymes. A→I RNA editing of protein-coding sequences of a limited number of mammalian genes results in recoding and subsequent alterations of their functions. However, A→I RNA editing most frequently targets repetitive RNA sequences located within introns and 5′ and 3′ untranslated regions (UTRs). Although the biological significance of noncoding RNA editing remains largely unknown, several possibilities, including its role in the control of endogenous short interfering RNAs (esiRNAs), have been proposed. Furthermore, recent studies have revealed that the biogenesis and functions of certain microRNAs (miRNAs) are regulated by the editing of their precursors. Here, I review the recent findings that indicate new functions for A→I editing in the regulation of noncoding RNAs and for interactions between RNA editing and RNA interference mechanisms.
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?
High-throughput sequencing permits detection of dominant mature miRNA species and sequence variations such as 5′ nucleotide additions and RNA editing.
“In contrast to microarrays and RT-PCR arrays, high-throughput sequencing permits the detection of not only the dominant mature miRNA species (i.e. 5p versus 3p) but also potentially important sequence variations that may occur, such as 5′ nucleotide additions, which affect seed-based targeting, and RNA editing, which alters the targeting capacity of the mature miRNA [24]–[27].”
From Reduced Expression of Brain-Enriched microRNAs in Glioblastomas Permits Targeted Regulation of a Cell Death Gene (2011) · cites this paper as [24]
A to I conversions can influence loading of miRNAs into RISC and alter targeting capacity, especially if editing occurs within the miRNA seed region.
“A to I conversions can influence loading of miRNAs into RISC [34] and also alter the targeting capacity of a miRNA, especially if the editing occurs within the miRNA seed region [24], [25].”
From Reduced Expression of Brain-Enriched microRNAs in Glioblastomas Permits Targeted Regulation of a Cell Death Gene (2011) · cites this paper as [24]
ADAR editing of dsRNA primary miRNA transcript converts adenosine to inosine.
“One post-transcriptional miRNA modification is enzymatic editing of the dsRNA primary miRNA transcript by ADAR (adenosine deaminase acting on RNA) which results in the conversion of an adenosine (A) to an inosine (I) [24].”
From Reduced Expression of Brain-Enriched microRNAs in Glioblastomas Permits Targeted Regulation of a Cell Death Gene (2011) · cites this paper as [24]
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
Regulation of serotonin-2C receptor G-protein coupling by RNA editing
Burns, C. M., Chu, H., Rueter, S. M., Hutchinson, L. K., Canton, H., Sanders-Bush, E., & Emeson, R. B. (1997) · Nature · doi:10.1038/387303a0 · Cited by 1,010 · cited 5×
“24 receptor isoforms are expressed with substantially altered G protein–coupling functions, affecting 5-HT potency and ligand-binding affinity (45,46,77).”
BackgroundInfluentialControl of Kinetic Properties of AMPA Receptor Channels by Nuclear RNA Editing
Lomeli, H., Mosbacher, J., Melcher, T., Höger, T., Geiger, J. R. P., Kuner, T., Monyer, H., Higuchi, M., Bach, A., & Seeburg, P. H. (1994) · Science · doi:10.1126/science.7992055 · Cited by 746
Flagged first, then by citations
Research works printed but not linked: 153
- 10.1038/35057267 · DOI
- 10.1038/416499a · DOI
- 10.1016/0092-8674(86)90063-2 · DOI
- 10.1146/annurev.genet.34.1.499 · DOI
- 10.1038/nrm2061 · DOI
- 10.1146/annurev.biochem.71.110601.135501 · DOI
- 10.1016/j.bbagrm.2007.11.009 · DOI
- 10.1016/S0959-4388(03)00062-X · DOI
- 10.1016/S0168-9525(00)02169-7 · DOI
- 10.1038/35098584 · DOI
- 10.1016/0092-8674(88)90253-X · DOI
- 10.1073/pnas.86.8.2647 · DOI
- 10.1016/0092-8674(87)90239-X · DOI
- 10.1016/0092-8674(87)90238-8 · DOI
- 10.1016/S0021-9258(17)36857-6 · DOI
- 10.1073/pnas.91.22.10596 · DOI
- 10.1073/pnas.91.24.11457 · DOI
- 10.1128/MCB.15.3.1389 · DOI
- Gerber A, 1997, RNA, 3, 453
- 10.1128/MCB.17.5.2413 · DOI
- 10.1038/379460a0 · DOI
- 10.1017/S1355838200000170 · DOI
- 10.1074/jbc.271.50.31795 · DOI
- 10.1016/S0378-1119(00)00174-8 · DOI
- 10.1016/S0378-1119(00)00175-X · DOI
- 10.1016/S0092-8674(00)00049-0 · DOI
- 10.1093/emboj/cdf607 · DOI
- 10.1261/rna.1471209 · DOI
- 10.1002/iub.207 · DOI
- 10.1016/S0968-0004(01)01827-8 · DOI
- 10.1093/emboj/cdf362 · DOI
- 10.1093/emboj/17.24.7505 · DOI
- 10.1074/jbc.M611392200 · DOI
- 10.1073/pnas.94.16.8421 · DOI
- 10.1371/journal.pone.0004225 · DOI
- 10.1074/jbc.270.29.17098 · DOI
- 10.1126/science.1113150 · DOI
- 10.1002/j.1460-2075.1991.tb04916.x · DOI
- 10.1016/0092-8674(88)90048-7 · DOI
- 10.1261/rna.2120703 · DOI
- 10.1038/nature07274 · DOI
- 10.1006/jmbi.1999.2914 · DOI
- 10.1016/0092-8674(93)90622-W · DOI
- 10.1046/j.1471-4159.2000.741290.x · DOI
- 10.1038/nsmb825 · DOI
- 10.1261/rna.349107 · DOI
- 10.1038/sj.emboj.7600691 · DOI
- 10.1038/nature03364 · DOI
- 10.1016/j.str.2005.11.013 · DOI
- 10.1074/jbc.M213127200 · DOI
- 10.1093/emboj/cdg327 · DOI
- 10.1074/jbc.M511831200 · DOI
- 10.1261/rna.2314406 · DOI
- 10.1128/MCB.15.10.5376 · DOI
- 10.1016/S0378-1119(00)00368-1 · DOI
- 10.1016/j.neuron.2006.01.025 · DOI
- 10.1038/nature01178 · DOI
- 10.1126/science.290.5497.1765 · DOI
- 10.1038/nature03315 · DOI · Paper page
- 10.1016/j.cell.2006.09.003 · DOI
- 10.1074/jbc.M310162200 · DOI
- 10.1242/jcs.00371 · DOI
- 10.1128/MCB.21.22.7862-7871.2001 · DOI
- 10.1074/jbc.M407876200 · DOI
- 10.1091/mbc.12.7.1911 · DOI
- 10.1128/MCB.01519-08 · DOI
- 10.1038/nrm1644 · DOI · Paper page
- 10.1093/nar/gkp599 · DOI
- 10.1534/genetics.108.093310 · DOI
- 10.1073/pnas.2336131100 · DOI
- 10.1126/science.1086763 · DOI · Paper page
- 10.1016/S0896-6273(02)00701-8 · DOI
- 10.1016/S0896-6273(00)80878-8 · DOI
- 10.1038/380454a0 · DOI
- 10.1074/jbc.274.14.9472 · DOI
- 10.1523/JNEUROSCI.0443-08.2008 · DOI
- 10.1101/gr.089409.108 · DOI
- 10.3109/01677069809108560 · DOI
- 10.1089/dna.1996.15.717 · DOI
- 10.1038/35017558 · DOI · Paper page
- 10.1074/jbc.M311347200 · DOI
- 10.1038/ni.1680 · DOI
- 10.1074/jbc.M700265200 · DOI
- 10.1038/19992 · DOI
- 10.1128/MCB.26.2.480-488.2006 · DOI
- 10.1017/S1355838200000248 · DOI
- 10.1126/science.270.5242.1677 · DOI
- 10.1523/JNEUROSCI.3896-08.2008 · DOI · Paper page
- 10.4161/rna.3.1.2495 · DOI
- 10.1016/S0074-7742(05)63004-8 · DOI
- 10.1086/378209 · DOI
- 10.1038/427801a · DOI
- 10.1016/S0896-6273(02)00660-8 · DOI
- 10.1016/S0893-133X(00)00223-2 · DOI
- 10.1038/nm746 · DOI
- 10.1073/pnas.251531398 · DOI
- 10.1074/jbc.M708316200 · DOI
- 10.1101/gr.6493107 · DOI
- 10.1093/emboj/17.4.1120 · DOI
- 10.1371/journal.pbio.0020391 · DOI
- 10.1101/gr.2951204 · DOI
- 10.1101/gr.2855504 · DOI
- 10.1038/nbt996 · DOI
- 10.1016/j.tig.2004.12.005 · DOI
- 10.1261/rna.165106 · DOI
- 10.1093/bioinformatics/bti411 · DOI
- 10.1093/nar/gki239 · DOI
- 10.1261/rna.254306 · DOI
- 10.1261/rna.816908 · DOI
- 10.1093/nar/gki771 · DOI
- 10.1126/science.1170995 · DOI
- 10.1016/S0079-6603(04)79006-6 · DOI
- 10.1186/gb-2007-8-2-r29 · DOI
- 10.1016/j.jmb.2008.07.014 · DOI
- 10.1016/S0092-8674(01)00466-4 · DOI
- 10.1016/j.cell.2005.08.033 · DOI
- 10.1038/emboj.2008.94 · DOI
- 10.1261/rna.1165008 · DOI
- 10.1038/nature07007 · DOI
- 10.1038/nature06904 · DOI
- 10.1038/nature06908 · DOI
- 10.1038/nature07015 · DOI
- 10.1038/nature06938 · DOI
- 10.1093/embo-reports/kve244 · DOI
- 10.1016/S0092-8674(02)71133-1 · DOI
- 10.1016/S0092-8674(00)80620-0 · DOI
- 10.1038/nsmb936 · DOI
- 10.1042/BJ20050647 · DOI
- 10.1126/science.1091340 · DOI
- 10.1016/S1097-2765(02)00649-4 · DOI
- 10.1038/nature02873 · DOI
- 10.1016/S0092-8674(04)00045-5 · DOI
- 10.1186/gb-2006-7-4-r27 · DOI
- 10.1261/rna.7350304 · DOI
- 10.1038/nmeth746 · DOI
- 10.1038/nsmb1041 · DOI
- 10.1038/sj.embor.7401011 · DOI · Paper page
- 10.1126/science.1138050 · DOI · Paper page
- 10.1093/nar/gkn479 · DOI · Paper page
- 10.1242/dev.02070 · DOI
- 10.1261/rna.296407 · DOI
- 10.1016/j.molcel.2007.09.005 · DOI
- 10.1073/pnas.111153798 · DOI
- 10.1261/rna.404407 · DOI
- 10.1073/pnas.0710576105 · DOI
- 10.1016/j.cub.2005.01.046 · DOI
- 10.1261/rna.1036308 · DOI
- 10.1128/JVI.79.10.6291-6298.2005 · DOI
- 10.1046/j.1365-2567.2003.01598.x · DOI
- 10.1128/MCB.25.16.6956-6963.2005 · DOI
- 10.1073/pnas.0801295105 · DOI
- 10.1038/ng.368 · DOI
- 10.1091/mbc.e05-06-0536 · DOI
Cited by
Sorted by citations
Base editing: precision chemistry on the genome and transcriptome of living cells
Rees, H. A., & Liu, D. R. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0059-1 · Cited by 1,675
Domingo, E., Sheldon, J., & Perales, C. (2012) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.05023-11 · Cited by 1,009
Single-cell RNA-seq: advances and future challenges
Saliba, A.-E., Westermann, A. J., Gorski, S. A., & Vogel, J. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku555 · Cited by 847
Circular RNAs: analysis, expression and potential functions
Barrett, S. P., & Salzman, J. (2016) · Development · doi:10.1242/dev.128074 · Cited by 859
The ctenophore genome and the evolutionary origins of neural systems
Moroz, L. L., Kocot, K. M., Citarella, M. R., Dosung, S., Norekian, T. P., Povolotskaya, I. S., Grigorenko, A. P., Dailey, C., Berezikov, E., Buckley, K. M., et al. (2014) · Nature · doi:10.1038/nature13400 · Cited by 716
Human ADAR1 Prevents Endogenous RNA from Triggering Translational Shutdown
Chung, H., Calis, J. J. A., Wu, X., Sun, T., Yu, Y., Sarbanes, S. L., Dao Thi, V. L., Shilvock, A. R., Hoffmann, H.-H., Rosenberg, B. R., et al. (2018) · Cell · doi:10.1016/j.cell.2017.12.038 · Cited by 538
Breaching Self-Tolerance to Alu Duplex RNA Underlies MDA5-Mediated Inflammation
Ahmad, S., Mu, X., Yang, F., Greenwald, E., Park, J. W., Jacob, E., Zhang, C.-Z., & Hur, S. (2018) · Cell · doi:10.1016/j.cell.2017.12.016 · Cited by 449
A critical analysis of codon optimization in human therapeutics
Mauro, V. P., & Chappell, S. A. (2014) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2014.09.003 · Cited by 343
Cell-Type-Based Analysis of MicroRNA Profiles in the Mouse Brain
He, M., Liu, Y., Wang, X., Zhang, M. Q., Hannon, G. J., & Huang, Z. J. (2012) · Neuron · doi:10.1016/j.neuron.2011.11.010 · Cited by 277
Methods and Applications of CRISPR-Mediated Base Editing in Eukaryotic Genomes
Hess, G. T., Tycko, J., Yao, D., & Bassik, M. C. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.09.029 · Cited by 234
Skalsky, R. L., & Cullen, B. R. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024248 · Cited by 170
mRNA expression, splicing and editing in the embryonic and adult mouse cerebral cortex
Dillman, A. A., Hauser, D. N., Gibbs, J. R., Nalls, M. A., McCoy, M. K., Rudenko, I. N., Galter, D., & Cookson, M. R. (2013) · Nature Neuroscience · doi:10.1038/nn.3332 · Cited by 148
Deciphering the functions and regulation of brain-enriched A-to-I RNA editing
Li, J. B., & Church, G. M. (2013) · Nature Neuroscience · doi:10.1038/nn.3539 · Cited by 141
Synaptic dysfunction and altered excitability in C9ORF72 ALS/FTD
Starr, A., & Sattler, R. (2018) · Brain Research · doi:10.1016/j.brainres.2018.02.011 · Cited by 78
Comparative RNA editing in autistic and neurotypical cerebella
Eran, A., Li, J. B., Vatalaro, K., McCarthy, J., Rahimov, F., Collins, C., Markianos, K., Margulies, D. M., Brown, E. N., Calvo, S. E., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.118 · Cited by 70
Abe, M., Naqvi, A., Hendriks, G.-J., Feltzin, V., Zhu, Y., Grigoriev, A., & Bonini, N. M. (2014) · Genes & Development · doi:10.1101/gad.226654.113 · Cited by 68
Single-cell transcriptogenomics reveals transcriptional exclusion of ENU-mutated alleles
Li, W., Calder, R. B., Mar, J. C., & Vijg, J. (2015) · Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis · doi:10.1016/j.mrfmmm.2015.01.002 · Cited by 34
Karanović, J., Ivković, M., Jovanović, V. M., Šviković, S., Pantović-Stefanović, M., Brkušanin, M., Damjanović, A., Brajušković, G., & Savić-Pavićević, D. (2017) · Journal of Neural Transmission · doi:10.1007/s00702-017-1677-z · Cited by 21
Metadata
- Authors
- Nishikura, K.
- Affiliations
- Department of Gene Expression and Regulation, The Wistar Institute, Philadelphia, Pennsylvania 19104-4268;
- Venue
- Annual Review of Biochemistry
- Publisher
- Annual Reviews
- Published
- 2010-06-07
- Volume
- 79
- Issue
- 1
- Pages
- 321-349
- ISSN
- 0066-4154
- 1545-4509
- PMC
- PMC2953425
- Cited by
- 1,242
- References
- 2
- Language
- en
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