The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
MicroRNAs can generate thresholds in target gene expression
Open accessAbstract
MicroRNAs (miRNAs) are short, highly conserved noncoding RNA molecules that repress gene expression in a sequence-dependent manner. We performed single-cell measurements using quantitative fluorescence microscopy and flow cytometry to monitor a target gene's protein expression in the presence and absence of regulation by miRNA. We find that although the average level of repression is modest, in agreement with previous population-based measurements, the repression among individual cells varies dramatically. In particular, we show that regulation by miRNAs establishes a threshold level of target mRNA below which protein production is highly repressed. Near this threshold, protein expression responds sensitively to target mRNA input, consistent with a mathematical model of molecular titration. These results show that miRNAs can act both as a switch and as a fine-tuner of gene expression.
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
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Most mammalian mRNAs are conserved targets of microRNAs
Friedman, R. C., Farh, K. K.-H., Burge, C. B., & Bartel, D. P. (2009) · Genome Research · doi:10.1101/gr.082701.108 · Cited by 8,462
Mammalian microRNAs predominantly act to decrease target mRNA levels
Guo, H., Ingolia, N. T., Weissman, J. S., & Bartel, D. P. (2010) · Nature · doi:10.1038/nature09267 · Cited by 3,886
The impact of microRNAs on protein output
Baek, D., Villén, J., Shin, C., Camargo, F. D., Gygi, S. P., & Bartel, D. P. (2008) · Nature · doi:10.1038/nature07242 · Cited by 3,592
miR-15 and miR-16 induce apoptosis by targeting BCL2
Cimmino, A., Calin, G. A., Fabbri, M., Iorio, M. V., Ferracin, M., Shimizu, M., Wojcik, S. E., Aqeilan, R. I., Zupo, S., Dono, M., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506654102 · Cited by 3,517
Widespread changes in protein synthesis induced by microRNAs
Selbach, M., Schwanhäusser, B., Thierfelder, N., Fang, Z., Khanin, R., & Rajewsky, N. (2008) · Nature · doi:10.1038/nature07228 · Cited by 3,429
Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences
Raj, A., & van Oudenaarden, A. (2008) · Cell · doi:10.1016/j.cell.2008.09.050 · Cited by 2,593
Self-citationA coding-independent function of gene and pseudogene mRNAs regulates tumour biology
Poliseno, L., Salmena, L., Zhang, J., Carver, B., Haveman, W. J., & Pandolfi, P. P. (2010) · Nature · doi:10.1038/nature09144 · Cited by 2,323
MicroRNA sponges: competitive inhibitors of small RNAs in mammalian cells
Ebert, M. S., Neilson, J. R., & Sharp, P. A. (2007) · Nature Methods · doi:10.1038/nmeth1079 · Cited by 2,108
Self-citationDicer is essential for mouse development
Bernstein, E., Kim, S. Y., Carmell, M. A., Murchison, E. P., Alcorn, H., Li, M. Z., Mills, A. A., Elledge, S. J., Anderson, K. V., & Hannon, G. J. (2003) · Nature Genetics · doi:10.1038/ng1253 · Cited by 1,627
The Widespread Impact of Mammalian MicroRNAs on mRNA Repression and Evolution
Farh, K. K.-H., Grimson, A., Jan, C., Lewis, B. P., Johnston, W. K., Lim, L. P., Burge, C. B., & Bartel, D. P. (2005) · Science · doi:10.1126/science.1121158 · Cited by 1,484
Regulation by let-7 and lin-4 miRNAs Results in Target mRNA Degradation
Bagga, S., Bracht, J., Hunter, S., Massirer, K., Holtz, J., Eachus, R., & Pasquinelli, A. E. (2005) · Cell · doi:10.1016/j.cell.2005.07.031 · Cited by 1,346
The microRNAs of Caenorhabditis elegans
Lim, L. P., Lau, N. C., Weinstein, E. G., Abdelhakim, A., Yekta, S., Rhoades, M. W., Burge, C. B., & Bartel, D. P. (2003) · Genes & Development · doi:10.1101/gad.1074403 · Cited by 1,259
Disrupting the Pairing Between let-7 and Hmga2 Enhances Oncogenic Transformation
Mayr, C., Hemann, M. T., & Bartel, D. P. (2007) · Science · doi:10.1126/science.1137999 · Cited by 1,100
Stark, A., Brennecke, J., Bushati, N., Russell, R. B., & Cohen, S. M. (2005) · Cell · doi:10.1016/j.cell.2005.11.023 · Cited by 1,080
A skin microRNA promotes differentiation by repressing ‘stemness’
Yi, R., Poy, M. N., Stoffel, M., & Fuchs, E. (2008) · Nature · doi:10.1038/nature06642 · Cited by 790
MicroRNA sponges: Progress and possibilities
Ebert, M. S., & Sharp, P. A. (2010) · RNA · doi:10.1261/rna.2414110 · Cited by 762
Self-citationEarly origins and evolution of microRNAs and Piwi-interacting RNAs in animals
Grimson, A., Srivastava, M., Fahey, B., Woodcroft, B. J., Chiang, H. R., King, N., Degnan, B. M., Rokhsar, D. S., & Bartel, D. P. (2008) · Nature · doi:10.1038/nature07415 · Cited by 734
A MicroRNA Imparts Robustness against Environmental Fluctuation during Development
Li, X., Cassidy, J. J., Reinke, C. A., Fischboeck, S., & Carthew, R. W. (2009) · Cell · doi:10.1016/j.cell.2009.01.058 · Cited by 431
Quantitative Characteristics of Gene Regulation by Small RNA
Levine, E., Zhang, Z., Kuhlman, T., & Hwa, T. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050229 · Cited by 384
Target mRNA abundance dilutes microRNA and siRNA activity
Arvey, A., Larsson, E., Sander, C., Leslie, C. S., & Marks, D. S. (2010) · Molecular Systems Biology · doi:10.1038/msb.2010.24 · Cited by 335
Sluijter, J. P. G., van Mil, A., van Vliet, P., Metz, C. H. G., Liu, J., Doevendans, P. A., & Goumans, M.-J. (2010) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.109.197434 · Cited by 325
RNA sequence analysis defines Dicer's role in mouse embryonic stem cells
Calabrese, J. M., Seila, A. C., Yeo, G. W., & Sharp, P. A. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709193104 · Cited by 320
Self-citationLi, X., & Carthew, R. W. (2005) · Cell · doi:10.1016/j.cell.2005.10.040 · Cited by 304
MicroRNA-9a ensures the precise specification of sensory organ precursors in Drosophila
Li, Y., Wang, F., Lee, J.-A., & Gao, F.-B. (2006) · Genes & Development · doi:10.1101/gad.1466306 · Cited by 301
Molecular Titration and Ultrasensitivity in Regulatory Networks
Buchler, N. E., & Louis, M. (2008) · Journal of Molecular Biology · doi:10.1016/j.jmb.2008.09.079 · Cited by 260
Genome-wide Dissection of MicroRNA Functions and Cotargeting Networks Using Gene Set Signatures
Tsang, J. S., Ebert, M. S., & van Oudenaarden, A. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.03.007 · Cited by 217
Self-citationNear-Critical Phenomena in Intracellular Metabolite Pools
Elf, J., Paulsson, J., Berg, O. G., & Ehrenberg, M. (2003) · Biophysical Journal · doi:10.1016/s0006-3495(03)74839-5 · Cited by 103
Cited by
Insights into the regulation of protein abundance from proteomic and transcriptomic analyses
Vogel, C., & Marcotte, E. M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3185 · Cited by 4,195
The multilayered complexity of ceRNA crosstalk and competition
Tay, Y., Rinn, J., & Pandolfi, P. P. (2014) · Nature · doi:10.1038/nature12986 · Cited by 3,910
Roles for MicroRNAs in Conferring Robustness to Biological Processes
Ebert, M. S., & Sharp, P. A. (2012) · Cell · doi:10.1016/j.cell.2012.04.005 · Cited by 1,564
Self-citationMolecular regulation of stem cell quiescence
Cheung, T. H., & Rando, T. A. (2013) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3591 · Cited by 1,148
The Imprinted H19 LncRNA Antagonizes Let-7 MicroRNAs
Kallen, A. N., Zhou, X.-B., Xu, J., Qiao, C., Ma, J., Yan, L., Lu, L., Liu, C., Yi, J.-S., Zhang, H., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.08.027 · Cited by 1,048
Metadata
- Authors
- Mukherji, S., Ebert, M. S., Zheng, G. X. Y., Tsang, J. S., Sharp, P. A., & van Oudenaarden, A.
- Venue
- Nature Genetics
- Published
- 2011-08-21
- Volume
- 43
- Issue
- 9
- Pages
- 854-859
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2143145944
- Cited by
- 632
- References
- 28
- FWCI
- 19.82
- 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
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.