The DOI matches its Crossref record; 239 of the 239 references it cites were found in a registry or an index.
MicroRNAs: From Mechanism to Organism
Open accessAbstract
MicroRNAs (miRNAs) are short, regulatory RNAs that act as post-transcriptional repressors of gene expression in diverse biological contexts. The emergence of small RNA-mediated gene silencing preceded the onset of multicellularity and was followed by a drastic expansion of the miRNA repertoire in conjunction with the evolution of complexity in the plant and animal kingdoms. Along this process, miRNAs became an essential feature of animal development, as no higher metazoan lineage tolerated loss of miRNAs or their associated protein machinery. In fact, ablation of the miRNA biogenesis machinery or the effector silencing factors results in severe embryogenesis defects in every animal studied. In this review, we summarize recent mechanistic insight into miRNA biogenesis and function, while emphasizing features that have enabled multicellular organisms to harness the potential of this broad class of repressors. We first discuss how different mechanisms of regulation of miRNA biogenesis are used, not only to generate spatio-temporal specificity of miRNA production within an animal, but also to achieve the necessary levels and dynamics of expression. We then explore how evolution of the mechanism for small RNA-mediated repression resulted in a diversity of silencing complexes that cause different molecular effects on their targets. Multicellular organisms have taken advantage of this variability in the outcome of miRNA-mediated repression, with differential use in particular cell types or even distinct subcellular compartments. Finally, we present an overview of how the animal miRNA repertoire has evolved and diversified, emphasizing the emergence of miRNA families and the biological implications of miRNA sequence diversification. Overall, focusing on selected animal models and through the lens of evolution, we highlight canonical mechanisms in miRNA biology and their variations, providing updated insight that will ultimately help us understand the contribution of miRNAs to the development and physiology of multicellular organisms.
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
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
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
The nuclear RNase III Drosha initiates microRNA processing
Lee, Y., Ahn, C., Han, J., Choi, H., Kim, J., Yim, J., Lee, J., Provost, P., Rådmark, O., Kim, S., et al. (2003) · Nature · doi:10.1038/nature01957 · Cited by 5,114
Origins and Mechanisms of miRNAs and siRNAs
Carthew, R. W., & Sontheimer, E. J. (2009) · Cell · doi:10.1016/j.cell.2009.01.035 · Cited by 5,018
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 4,981
Role for a bidentate ribonuclease in the initiation step of RNA interference
Bernstein, E., Caudy, A. A., Hammond, S. M., & Hannon, G. J. (2001) · Nature · doi:10.1038/35053110 · Cited by 4,892
MicroRNA genes are transcribed by RNA polymerase II
Lee, Y., Kim, M., Han, J., Yeom, K., Lee, S., Baek, S. H., & Kim, V. N. (2004) · The EMBO Journal · doi:10.1038/sj.emboj.7600385 · Cited by 4,373
Wightman, B., Ha, I., & Ruvkun, G. (1993) · Cell · doi:10.1016/0092-8674(93)90530-4 · Cited by 4,292
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
MicroRNA 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
Cited by
PI3K/AKT/mTOR signaling transduction pathway and targeted therapies in cancer
Glaviano, A., Foo, A. S. C., Lam, H. Y., Yap, K. C. H., Jacot, W., Jones, R. H., Eng, H., Nair, M. G., Makvandi, P., Geoerger, B., et al. (2023) · Molecular Cancer · doi:10.1186/s12943-023-01827-6 · Cited by 2,138
Genome-Wide Signatures of Adaptation to Extreme Environments in Red Algae
Cho, C. H., Park, S. I., Huang, T.-Y., Lee, Y., Ciniglia, C., Yadavalli, H. C., Yang, S. W., Bhattacharya, D., & Yoon, H. S. (2023) · Nature Communications · doi:10.1038/s41467-022-35566-x · Cited by 83
Oscillatory Behaviors of microRNA Networks: Emerging Roles in Retinal Development
Fishman, E. S., Han, J. S., & La Torre, A. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.831750 · Cited by 16
Gurazada, S. G. R., Kennedy, H. M., Braatz, R. D., Mehrman, S. J., Polson, S. W., & Rombel, I. T. (2025) · Biotechnology Advances · doi:10.1016/j.biotechadv.2024.108506 · Cited by 9
Oliveira, A. C. D., Bovolenta, L. A., Figueiredo, L., Ribeiro, A. D. O., Pereira, B. J. A., de Almeida, T. R. A., Campos, V. F., Patton, J. G., & Pinhal, D. (2024) · Evolutionary Bioinformatics · doi:10.1177/11769343241263230 · Cited by 2
Metadata
- Authors
- Dexheimer, P. J., & Cochella, L.
- Venue
- Frontiers in Cell and Developmental Biology
- Publisher
- Frontiers Media SA
- Published
- 2020-06-03
- Volume
- 8
- Pages
- 409-409
- ISSN
- 2296-634X (ISSN-L)
- OpenAlex
- W3034125256
- Cited by
- 386
- References
- 239
- FWCI
- 13.95
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MicroRNAs: From Mechanism to Organism. https://app.cochat.ai/papers/10.3389/fcell.2020.00409
- The paper
- Dexheimer, P. J., & Cochella, L. (2020). MicroRNAs: From Mechanism to Organism. Frontiers in Cell and Developmental Biology. https://doi.org/10.3389/fcell.2020.00409
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.