The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Transcriptome-wide identification of microRNA targets in rice: Rice microRNA targets
Abstract
MicroRNA (miRNA)-guided target RNA expression is vital for a wide variety of biological processes in eukaryotes. Currently, miRBase (version 13) lists 142 and 353 miRNAs from Arabidopsis and rice (Oryza sativa), respectively. The integration of miRNAs in diverse biological networks relies upon the confirmation of their RNA targets. In contrast with the well-characterized miRNA targets that are cleaved in Arabidopsis, only a few such targets have been confirmed in rice. To identify small RNA targets in rice, we applied the 'degradome sequencing' approach, which globally identifies the remnants of small RNA-directed target cleavage by sequencing the 5' ends of uncapped RNAs. One hundred and sixty targets of 53 miRNA families (24 conserved and 29 rice-specific) and five targets of TAS3-small interfering RNAs (siRNAs) were identified. Surprisingly, an additional conserved target for miR398, which has not been reported so far, has been validated. Besides conserved homologous transcripts, 23 non-conserved genes for nine conserved miRNAs and 56 genes for 29 rice-specific miRNAs were also identified as targets. Besides miRNA targets, the rice degradome contained fragments derived from MIRNA precursors. A closer inspection of these fragments revealed a unique pattern distinct from siRNA-producing loci. This attribute can serve as one of the ancillary criteria for separating miRNAs from siRNAs in plants.
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
MicroRNAs AND THEIR REGULATORY ROLES IN PLANTS
Jones-Rhoades, M. W., Bartel, D. P., & Bartel, B. (2006) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.57.032905.105218 · Cited by 2,686
Prediction of Plant MicroRNA Targets
Rhoades, M. W., Reinhart, B. J., Lim, L. P., Burge, C. B., Bartel, B., & Bartel, D. P. (2002) · Cell · doi:10.1016/s0092-8674(02)00863-2 · Cited by 2,283
microRNA-Directed Phasing during Trans-Acting siRNA Biogenesis in Plants
Allen, E., Xie, Z., Gustafson, A. M., & Carrington, J. C. (2005) · Cell · doi:10.1016/j.cell.2005.04.004 · Cited by 2,268
Origin, Biogenesis, and Activity of Plant MicroRNAs
Voinnet, O. (2009) · Cell · doi:10.1016/j.cell.2009.01.046 · Cited by 2,212
Aukerman, M. J., & Sakai, H. (2003) · The Plant Cell · doi:10.1105/tpc.016238 · Cited by 1,946
A MicroRNA as a Translational Repressor of APETALA2 in Arabidopsis Flower Development
Chen, X. (2004) · Science · doi:10.1126/science.1088060 · Cited by 1,770
Cleavage of Scarecrow-like mRNA Targets Directed by a Class of Arabidopsis miRNA
Llave, C., Xie, Z., Kasschau, K. D., & Carrington, J. C. (2002) · Science · doi:10.1126/science.1076311 · Cited by 1,627
Widespread translational inhibition by plant miRNAs and siRNAs
Brodersen, P., Sakvarelidze-Achard, L., Bruun-Rasmussen, M., Dunoyer, P., Yamamoto, Y. Y., Sieburth, L., & Voinnet, O. (2008) · Science · doi:10.1126/science.1159151 · Cited by 1,477
Specific effects of microRNAs on the plant transcriptome
Schwab, R., Palatnik, J. F., Riester, M., Schommer, C., Schmid, M., & Weigel, D. (2005) · Developmental Cell · doi:10.1016/j.devcel.2005.01.018 · Cited by 1,467
Sunkar, R., Kapoor, A., & Zhu, J.-K. (2006) · The Plant Cell · doi:10.1105/tpc.106.041673 · Cited by 1,313
Self-citation
Cited by
Experimental strategies for microRNA target identification
Thomson, D. W., Bracken, C. P., & Goodall, G. J. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr330 · Cited by 544
Revisiting Criteria for Plant MicroRNA Annotation in the Era of Big Data
Axtell, M. J., & Meyers, B. C. (2018) · The Plant Cell · doi:10.1105/tpc.17.00851 · Cited by 429
Self-citationJeong, D.-H., Park, S., Zhai, J., Gurazada, S. G. R., De Paoli, E., Meyers, B. C., & Green, P. J. (2011) · The Plant Cell · doi:10.1105/tpc.111.089045 · Cited by 334
Identification of miRNAs and their target genes in developing soybean seeds by deep sequencing
Song, Q.-X., Liu, Y.-F., Hu, X.-Y., Zhang, W.-K., Ma, B., Chen, S.-Y., & Zhang, J.-S. (2011) · BMC Plant Biology · doi:10.1186/1471-2229-11-5 · Cited by 310
Self-citation
Metadata
- Authors
- Li, Y.-F., Zheng, Y., Addo-Quaye, C., Zhang, L., Saini, A., Jagadeeswaran, G., Axtell, M. J., Zhang, W., & Sunkar, R.
- Venue
- The Plant Journal
- Publisher
- Wiley
- Published
- 2010-02-26
- Volume
- 62
- Issue
- 5
- Pages
- 742-759
- ISSN
- 0960-7412 (ISSN-L)
- 1365-313X
- OpenAlex
- W2144704816
- Cited by
- 396
- References
- 62
- FWCI
- 38.93
- Type
- journal article
- Language
- en
- Open access
- closed
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: Transcriptome-wide identification of microRNA targets in rice: Rice microRNA targets. https://app.cochat.ai/papers/10.1111/j.1365-313x.2010.04187.x
- The paper
- Li, Y.-F., Zheng, Y., Addo-Quaye, C., Zhang, L., Saini, A., Jagadeeswaran, G., Axtell, M. J., Zhang, W., & Sunkar, R. (2010). Transcriptome-wide identification of microRNA targets in rice: Rice microRNA targets. The Plant Journal. https://doi.org/10.1111/j.1365-313x.2010.04187.x
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.