The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.
Massive Analysis of Rice Small RNAs: Mechanistic Implications of Regulated MicroRNAs and Variants for Differential Target RNA Cleavage
Open accessAbstract
Small RNAs have a variety of important roles in plant development, stress responses, and other processes. They exert their influence by guiding mRNA cleavage, translational repression, and chromatin modification. To identify previously unknown rice (Oryza sativa) microRNAs (miRNAs) and those regulated by environmental stress, 62 small RNA libraries were constructed from rice plants and used for deep sequencing with Illumina technology. The libraries represent several tissues from control plants and plants subjected to different environmental stress treatments. More than 94 million genome-matched reads were obtained, resulting in more than 16 million distinct small RNA sequences. This allowed an evaluation of ~400 annotated miRNAs with current criteria and the finding that among these, ~150 had small interfering RNA–like characteristics. Seventy-six new miRNAs were found, and miRNAs regulated in response to water stress, nutrient stress, or temperature stress were identified. Among the new examples of miRNA regulation were members of the same miRNA family that were differentially regulated in different organs and had distinct sequences Some of these distinct family members result in differential target cleavage and provide new insight about how an agriculturally important rice phenotype could be regulated in the panicle. This high-resolution analysis of rice miRNAs should be relevant to plant miRNAs in general, particularly in the Poaceae.
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
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Church, G. M., & Gilbert, W. (1984) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.81.7.1991 · Cited by 8,116
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
miRBase: tools for microRNA genomics
Griffiths-Jones, S., Saini, H. K., van Dongen, S., & Enright, A. J. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm952 · Cited by 4,382
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
Computational Identification of Plant MicroRNAs and Their Targets, Including a Stress-Induced miRNA
Jones-Rhoades, M. W., & Bartel, D. P. (2004) · Molecular Cell · doi:10.1016/j.molcel.2004.05.027 · Cited by 2,284
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
Origin, Biogenesis, and Activity of Plant MicroRNAs
Voinnet, O. (2009) · Cell · doi:10.1016/j.cell.2009.01.046 · Cited by 2,212
Reinhart, B. J., Weinstein, E. G., Rhoades, M. W., Bartel, B., & Bartel, D. P. (2002) · Genes & Development · doi:10.1101/gad.1004402 · Cited by 1,948
Cited by
Genetic Regulation of Shoot Architecture
Wang, B., Smith, S. M., & Li, J. (2018) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-042817-040422 · Cited by 760
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-citationSpatiotemporally dynamic, cell-type–dependent premeiotic and meiotic phasiRNAs in maize anthers
Zhai, J., Zhang, H., Arikit, S., Huang, K., Nan, G.-L., Walbot, V., & Meyers, B. C. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418918112 · Cited by 305
Self-citationGenetic and epigenetic control of plant heat responses
Liu, J., Feng, L., Li, J., & He, Z. (2015) · Frontiers in Plant Science · doi:10.3389/fpls.2015.00267 · Cited by 301
Metadata
- Authors
- Jeong, D.-H., Park, S., Zhai, J., Gurazada, S. G. R., De Paoli, E., Meyers, B. C., & Green, P. J.
- Venue
- The Plant Cell
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-12-01
- Volume
- 23
- Issue
- 12
- Pages
- 4185-4207
- ISSN
- 1040-4651 (ISSN-L)
- 1532-298X
- OpenAlex
- W2126207388
- Cited by
- 334
- References
- 117
- FWCI
- 28.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Massive Analysis of Rice Small RNAs: Mechanistic Implications of Regulated MicroRNAs and Variants for Differential Target RNA Cleavage. https://app.cochat.ai/papers/10.1105/tpc.111.089045
- The paper
- Jeong, D.-H., Park, S., Zhai, J., Gurazada, S. G. R., De Paoli, E., Meyers, B. C., & Green, P. J. (2011). Massive Analysis of Rice Small RNAs: Mechanistic Implications of Regulated MicroRNAs and Variants for Differential Target RNA Cleavage. The Plant Cell. https://doi.org/10.1105/tpc.111.089045
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.