The DOI matches its Crossref record; 52 of the 53 references it cites were found in a registry or an index.
Animal MicroRNAs Confer Robustness to Gene Expression and Have a Significant Impact on 3′UTR Evolution
Open accessAbstract
MicroRNAs are small noncoding RNAs that serve as posttranscriptional regulators of gene expression in higher eukaryotes. Their widespread and important role in animals is highlighted by recent estimates that 20%-30% of all genes are microRNA targets. Here, we report that a large set of genes involved in basic cellular processes avoid microRNA regulation due to short 3'UTRs that are specifically depleted of microRNA binding sites. For individual microRNAs, we find that coexpressed genes avoid microRNA sites, whereas target genes and microRNAs are preferentially expressed in neighboring tissues. This mutually exclusive expression argues that microRNAs confer accuracy to developmental gene-expression programs, thus ensuring tissue identity and supporting cell-lineage decisions.
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“The miRNAs in the first class are in line with studies showing that the expression level of the predicted targets is generally higher before differentiation, and that some miRNAs dampen the output of the transcriptionally down-regulated mRNAs to facilitate a faster transition in gene expression (Stark et al., 2005).”
From Identification of Dynamically Regulated MicroRNA and mRNA Networks in Developing Oligodendrocytes (2008) · cites this paper as Stark et al., 2005
In the citing paper
“As the silencing of loci is generally efficient, one might conclude that for most of the time in most mature neurons, some miRNAs are doing very little indeed, consistent with the idea that miRNAs confer robustness to programs of gene expression [11,12].”
From MicroRNAs show a wide diversity of expression profiles in the developing and mature central nervous system (2007) · cites this paper as [12]
In the citing paper
“mRNAs from genes required for general cellular machinery are protected from miRNA action through possession of short 3' UTRs that are poor miRNA targets and genes required for specific cellular functions of the specific cell type are often miRNA anti-targets - that is, their 3' UTRs lack sequences that would enable binding of co-expressed miRNAs [12].”
From MicroRNAs show a wide diversity of expression profiles in the developing and mature central nervous system (2007) · cites this paper as [12]
In the citing paper
“For instance, in zebrafish, miR-430 targets a large number of maternally deposited transcripts at the onset of zygotic transcription [6] and many examples of spatially exclusive expression domains of miRNAs and their targets have been documented (for example, [12,53]).”
From MicroRNAs show a wide diversity of expression profiles in the developing and mature central nervous system (2007) · cites this paper as [12]
In the citing paper
“A common feature of miRNA function is one of mutually exclusive expression of miRNAs and their target mRNAs [11,12].”
From MicroRNAs show a wide diversity of expression profiles in the developing and mature central nervous system (2007) · cites this paper as [12]
In the citing paper
“This profile is one of the best conserved miRNA patterns, as a similar restriction to mature neurons is seen for mouse and fly miR-124 [12,30].”
From MicroRNAs show a wide diversity of expression profiles in the developing and mature central nervous system (2007) · cites this paper as [12]
In the citing paper
“A change in the expression levels of miRNAs can tip the balance and result in repression or activation of many functionally important target genes101,102.”
From Molecular regulation of stem cell quiescence (2013) · cites this paper as [101]
Citations
Cites
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
The functions of animal microRNAs
Ambros, V. (2004) · Nature · doi:10.1038/nature02871 · Cited by 10,728
Prediction of Mammalian MicroRNA Targets
Lewis, B. P., Shih, I.-H., Jones-Rhoades, M. W., Bartel, D. P., & Burge, C. B. (2003) · Cell · doi:10.1016/s0092-8674(03)01018-3 · Cited by 5,199
The 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans
Reinhart, B. J., Slack, F. J., Basson, M., Pasquinelli, A. E., Bettinger, J. C., Rougvie, A. E., Horvitz, H. R., & Ruvkun, G. (2000) · Nature · doi:10.1038/35002607 · Cited by 4,989
Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs
Lim, L. P., Lau, N. C., Garrett-Engele, P., Grimson, A., Schelter, J. M., Castle, J., Bartel, D. P., Linsley, P. S., & Johnson, J. M. (2005) · Nature · doi:10.1038/nature03315 · Cited by 4,755
Combinatorial microRNA target predictions
Krek, A., Grün, D., Poy, M. N., Wolf, R., Rosenberg, L., Epstein, E. J., MacMenamin, P., da Piedade, I., Gunsalus, K. C., Stoffel, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1536 · Cited by 4,603
Wightman, B., Ha, I., & Ruvkun, G. (1993) · Cell · doi:10.1016/0092-8674(93)90530-4 · Cited by 4,292
John, B., Enright, A. J., Aravin, A., Tuschl, T., Sander, C., & Marks, D. S. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020363 · Cited by 3,796
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Kim, B., Yu, H., Park, S.-G., Shin, J. Y., Oh, M., Kim, N., & Mun, J. (2012) · BMC Plant Biology · doi:10.1186/1471-2229-12-218 · Cited by 41
Retained introns increase putative microRNA targets within 3′ UTRs of human mRNA
Tan, S. H., Guo, J., Huang, Q., Chen, X., Li‐Ling, J., Li, Q., & Ma, F. (2007) · FEBS Letters · doi:10.1016/j.febslet.2007.02.009 · Cited by 39
Han, J., Sun, Y., Song, W., & Xu, T. (2016) · Developmental & Comparative Immunology · doi:10.1016/j.dci.2016.11.021 · Cited by 40
Sun, R., Fu, X., Li, Y., Xie, Y., & Mao, Y. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-93 · Cited by 42
Evolutionary sequence comparison of the Mitf gene reveals novel conserved domains
Hallsson, J. H., Haflidadóttir, B. S., Schepsky, A., Arnheiter, H., & Steingrı́msson, E. (2007) · Pigment Cell Research · doi:10.1111/j.1600-0749.2007.00373.x · Cited by 40
Roles of microRNAs beyond development — Metabolism and neural plasticity
Aumiller, V., & Förstemann, K. (2008) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2008.04.008 · Cited by 39
A view from Drosophila: Multiple biological functions for individual microRNAs
Smibert, P., & Lai, E. C. (2010) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2010.03.001 · Cited by 39
Su, R., Lei, W., Liu, J., Zhang, Z.-R., Jia, B., Feng, X., Ren, G., Hu, S., & Yang, Z. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015513 · Cited by 39
MicroRNAs in Glioblastoma: Role in Pathogenesis and Opportunities for Targeted Therapies
Costa, P. M., Cardoso, A. L., Mano, M., & de Lima, M. C. P. (2015) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527314666150116123610 · Cited by 39
miRNA Detection Methods and Clinical Implications in Lung Cancer
Usó, M., Lewintre, E. J., Sirera, R., Bremnes, R. M., & Camps, C. (2014) · Future Oncology · doi:10.2217/fon.14.93 · Cited by 37
6mer seed toxicity in tumor suppressive microRNAs
Gao, Q. Q., Putzbach, W., Murmann, A. E., Chen, S., Sarshad, A. A., Peter, J. M., Bartom, E. T., Hafner, M., & Peter, M. E. (2018) · Nature Communications · doi:10.1038/s41467-018-06526-1 · Cited by 38
MicroRNAs as Oncogenes and Tumor Suppressors
Rufino‐Palomares, E. E., Reyes‐Zurita, F. J., Lupiáñez, J. A., & Medina, P. P. (2013) · Wiley eBooks · doi:10.1002/9781118300312.ch14 · Cited by 43
HomoTarget: A new algorithm for prediction of microRNA targets in Homo sapiens
Ahmadi, H., Ahmadi, A., Jamalkandi, S. A., Shoorehdeli, M. A., Salehzadeh‐Yazdi, A., Bidkhori, G., & Masoudi‐Nejad, A. (2012) · Genomics · doi:10.1016/j.ygeno.2012.11.005 · Cited by 38
Adverse interactions between micro-RNAs and target genes from different species
Tang, T., Kumar, S., Shen, Y., Lü, J., Wu, M.-L., Shi, S., Li, W., & Wu, C. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007591107 · Cited by 40
Song, Y., Shao, L., Xue, Y., Ruan, X., Liu, X., Yang, C., Zheng, J., Shen, S., Chen, J., Li, Z., et al. (2019) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-019-1200-5 · Cited by 39
Widespread roles of microRNAs during zebrafish development and beyond
Mishima, Y. (2011) · Development Growth & Differentiation · doi:10.1111/j.1440-169x.2011.01306.x · Cited by 40
Saito, T., & Sætrom, P. (2012) · Silence · doi:10.1186/1758-907x-3-3 · Cited by 36
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Renaud, L., da Silveira, W. A., Hazard, E. S., Simpson, J., Falcinelli, S., Chung, D., Carnevali, O., & Hardiman, G. (2017) · Genes · doi:10.3390/genes8100269 · Cited by 38
Tan, J. Y., & Marques, A. C. (2014) · Advances in genetics · doi:10.1016/b978-0-12-800271-1.00003-2 · Cited by 37
A study of neural-related microRNAs in the developing amphioxus
Candiani, S., Moronti, L., Tonelli, D. D. P., Garbarino, G., & Pestarino, M. (2011) · EvoDevo · doi:10.1186/2041-9139-2-15 · Cited by 36
Zhang, W., Hu, C., Zhang, C., Luo, C., Zhong, B., & Yu, X. (2021) · BMC Geriatrics · doi:10.1186/s12877-021-02046-8 · Cited by 36
Makarova, J. A., & Kramerov, D. A. (2007) · Biochemistry (Moscow) · doi:10.1134/s0006297907110016 · Cited by 36
Gheysarzadeh, A., & Yazdanparast, R. (2014) · Cell Biochemistry and Biophysics · doi:10.1007/s12013-014-0244-6 · Cited by 36
Most, D., Workman, E. R., & Harris, R. A. (2014) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2014.00085 · Cited by 37
Current progress on microRNAs ‐based therapeutics in neurodegenerative diseases
Pereira, P., Queiroz, J. A., Figueiras, A., & de Sousa, F. P. (2016) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1409 · Cited by 37
Transcriptional regulation of neuronal differentiation: The epigenetic layer of complexity
Hamby, M. E., Coskun, V., & Sun, Y. E. (2008) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2008.07.006 · Cited by 37
MicroRNAs, mRNAs, and TranslationPreprint
Maroney, P. A., YU, Y., & Nilsen, T. W. (2006) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2006.71.043 · Cited by 37
Vicinus, B., Rubie, C., Faust, S. K., Frick, V. O., Ghadjar, P., Wagner, M., Graeber, S. M., & Schilling, M. K. (2011) · Cancer Letters · doi:10.1016/j.canlet.2011.10.031 · Cited by 36
Shen, S.-F., Pan, J., Lu, X., & Chi, P. (2016) · Oncology Letters · doi:10.3892/ol.2016.5210 · Cited by 35
Bellés, X., Cristino, A. S., Tanaka, É. D., Rubio, M., & Piulachs, M. (2011) · Elsevier eBooks · doi:10.1016/b978-0-12-384747-8.10002-9 · Cited by 35
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Jost, D., Nowojewski, A., & Levine, E. (2011) · BMB Reports · doi:10.5483/bmbrep.2011.44.1.11 · Cited by 37
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Zhuo, Z., & Yu, H. (2017) · Oncotarget · doi:10.18632/oncotarget.15886 · Cited by 34
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Ge, Y., Wang, Q., Qin, X., Li, S., Liu, Z., Lin, Y., Li, X., & Cai, X. (2022) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c23869 · Cited by 34
Mhadhbi, H., Fotopoulos, V., Djébali, N., Polidoros, A. N., & Aouani, M. E. (2009) · Journal of Agronomy and Crop Science · doi:10.1111/j.1439-037x.2009.00361.x · Cited by 34
Peters, L. M., Belyantseva, I. A., Lagziel, A., Battey, J. F., Friedman, T. B., & Morell, R. J. (2006) · Genomics · doi:10.1016/j.ygeno.2006.09.006 · Cited by 35
Liu, H., & Kohane, I. S. (2009) · PLoS ONE · doi:10.1371/annotation/1cdc7975-50d7-40a5-99ca-83580df2982f · Cited by 34
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Ding, J., Li, D., Ohler, U., Guan, J., & Zhou, S. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-s3-s3 · Cited by 33
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Kato, Y., Miyaki, S., Yokoyama, S., Omori, S., Inoue, A., Horiuchi, M., & Asahara, H. (2009) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2009.04.018 · Cited by 34
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An expanded seed sequence definition accounts for full regulation of the hid 3′ UTR by bantam miRNA
Nahvi, A., Shoemaker, C. J., & Green, R. (2009) · RNA · doi:10.1261/rna.1565109 · Cited by 33
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Hu, G., Huang, K. Y., Yu, J., Gopalakrishna-Pillai, S., Kong, J., Xu, H., Liu, Z., Zhang, K., Xu, J., Luo, Y., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037224 · Cited by 32
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Becker, L. E., Lu, Z., Chen, W., Xiong, W., Kong, M., & Li, Y. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048474 · Cited by 31
Zhang, L., Jing, X., Chen, W., Wang, Y., Lin, J., Zheng, L., Dong, Y., Zhou, L., Li, F.-F., Yang, F., et al. (2019) · Biomolecules · doi:10.3390/biom9100602 · Cited by 30
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Drexel, T., Mahofsky, K., Latham, R., Zimmer, M., & Cochella, L. (2016) · Genes & Development · doi:10.1101/gad.287904.116 · Cited by 30
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Self-citationQin, Q., Wang, Z., Tian, L., Gan, H., Zhang, S., & Zhi-jiang, Z. (2013) · Insect Science · doi:10.1111/1744-7917.12065 · Cited by 31
Yoo, H., Kim, J., Lee, J.-M., Lee, J.-M., Kim, J.-K., Kim, J.-K., & Oh, S. (2018) · Molecular Neurobiology · doi:10.1007/s12035-018-1295-2 · Cited by 29
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Yang, Y., Zhang, Y., Wang, A., Duan, A., Xue, C., Wang, K., Zhao, M., & Zhang, J. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2021.820778 · Cited by 28
Yasuda, J., & Hayashizaki, Y. (2007) · Advances in cancer research · doi:10.1016/s0065-230x(07)99003-x · Cited by 30
Huang, T., Jing, Y., & Cai, Y. (2015) · BioMed Research International · doi:10.1155/2015/358125 · Cited by 28
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Kuzin, A., Kundu, M., Brody, T., & Odenwald, W. F. (2007) · Developmental Biology · doi:10.1016/j.ydbio.2007.07.012 · Cited by 28
Control of the ATP synthase β subunit expression by RNA-binding proteins TIA-1, TIAR, and HuR
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Stefani, G., & Slack, F. J. (2006) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2006.71.032 · Cited by 28
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Liu, C. (2011) · Neuroscience Bulletin · doi:10.1007/s12264-011-1203-5 · Cited by 26
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Jalabert, A., Reininger, L., Berger, E., Couté, Y., Meugnier, E., Forterre, A. V., Errazuriz-Cerda, E., Géloën, A., Aouadi, M., Bouzakri, K., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-00983-3 · Cited by 27
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Asikainen, S., Heikkinen, L., Juhila, J., Holm, F., Weltner, J., Trokovic, R., Mikkola, M., Toivonen, S., Balboa, D., Lampela, R., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0116668 · Cited by 26
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Irimia, M., Maeso, I., Gunning, P. W., García‐Fernàndez, J., & Roy, S. W. (2010) · Molecular Biology and Evolution · doi:10.1093/molbev/msq018 · Cited by 27
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Guo, L., Sun, B., Sang, F., Wang, W., & Lu, Z. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007944 · Cited by 26
Metadata
- Authors
- Stark, A., Brennecke, J., Bushati, N., Russell, R. B., & Cohen, S. M.
- Affiliations
- European Molecular Biology Laboratory (DE)
- Corresponding author
- Cohen, Stephen M.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2005-12
- Volume
- 123
- Issue
- 6
- Pages
- 1133-1146
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2034500416
- Cited by
- 1,080
- References
- 53
- Citations by year
- 2026: 4 · 2025: 17 · 2024: 14 · 2023: 21 · 2022: 15 · 2021: 38 · 2020: 20 · 2019: 29 · 2018: 37 · 2017: 34 · 2016: 30 · 2015: 51 · 2014: 68 · 2013: 88 · 2012: 82
- FWCI
- 30.34
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 2821 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
- Keywords
- microRNA, microRNA binding sites, post-transcriptional regulation, tissue-specific gene expression, co-expressed genes, cell lineage specification, tissue identity, non-coding RNA
- MeSH terms
- Animals, Base Sequence, Cell Line, Drosophila, Embryo, Nonmammalian, Membrane Proteins, Molecular Sequence Data, Muscles, Nerve Tissue Proteins, Nervous System, Nuclear Proteins, RNA, Messenger, Sequence Homology, Nucleic Acid, Tropomyosin, In Situ Hybridization, Homeodomain Proteins, Gene Expression Regulation, Developmental, Evolution, Molecular, 3' Untranslated Regions, Vacuolar Proton-Translocating ATPases, Drosophila Proteins, MicroRNAs, Basic Helix-Loop-Helix Transcription Factors, Basic Helix-Loop-Helix Proteins
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