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Cited by 396

The DOI matches its Crossref record; 172 of the 172 references it cites were found in a registry or an index.

Plant Noncoding RNAs: Hidden Players in Development and Stress Responses

Open access
Yu, Yu, Zhang, Yuchan, Chen, Xuemei, Chen, Yueqin·2019·Annual Review of Cell and Developmental Biology

Abstract

A large and significant portion of eukaryotic transcriptomes consists of noncoding RNAs (ncRNAs) that have minimal or no protein-coding capacity but are functional. Diverse ncRNAs, including both small RNAs and long ncRNAs (lncRNAs), play essential regulatory roles in almost all biological processes by modulating gene expression at the transcriptional and posttranscriptional levels. In this review, we summarize the current knowledge of plant small RNAs and lncRNAs, with a focus on their biogenesis, modes of action, local and systemic movement, and functions at the nexus of plant development and environmental responses. The complex connections among small RNAs, lncRNAs, and small peptides in plants are also discussed, along with the challenges of identifying and investigating new classes of ncRNAs.

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Crossref · 10.1146/annurev-cellbio-100818-125218

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Metadata

Authors
Yu, Y., Zhang, Y., Chen, X., & Chen, Y.
Venue
Annual Review of Cell and Developmental Biology
Published
2019-10-06
Volume
35
Issue
1
Pages
407-431
ISSN
  • 1081-0706 (ISSN-L)
  • 1530-8995
OpenAlex
W2968812970
Cited by
396
References
172
FWCI
8.22
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Plant Noncoding RNAs: Hidden Players in Development and Stress Responses. https://app.cochat.ai/papers/10.1146/annurev-cellbio-100818-125218
The paper
Yu, Y., Zhang, Y., Chen, X., & Chen, Y. (2019). Plant Noncoding RNAs: Hidden Players in Development and Stress Responses. Annual Review of Cell and Developmental Biology. https://doi.org/10.1146/annurev-cellbio-100818-125218

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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.