Evidence map›Paper›PMID 35409060›Full record

ReviewInternational journal of molecular sciences2022

Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants.

Haoyu Chao, Yueming Hu, Liang Zhao, Saige Xin, Qingyang Ni, Peijing Zhang, Ming Chen

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. High-contiguity genome assembly of moth bean (Frontiers in plant science · 2026
    Article
  6. Review
  7. Epigenetic Regulation of Floral Transition.Plants (Basel, Switzerland) · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Integrating omics databases for enhanced crop breeding.Journal of integrative bioinformatics · 2023
    Review
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Haoyu ChaoDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Yueming HuDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0003-2174-5987
Liang ZhaoDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Saige XinDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Qingyang NiDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Peijing ZhangDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0001-8301-1044
Ming ChenDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-9677-1699

Funding

151 Talent Project of Zhejiang Province first levelJiangsu Collaborative Innovation Center for Modern Crop Production and Collaborative Inno-vation Center for Modern Crop Production cosponsored by province and ministry NANational Natural Sciences Foundation of China 32070677
6 · The paper itself

Abstract

Plant transcriptomes encompass a large number of functional non-coding RNAs (ncRNAs), only some of which have protein-coding capacity. Since their initial discovery, ncRNAs have been classified into two broad categories based on their biogenesis and mechanisms of action, housekeeping ncRNAs and regulatory ncRNAs. With advances in RNA sequencing technology and computational methods, bioinformatics resources continue to emerge and update rapidly, including workflow for in silico ncRNA analysis, up-to-date platforms, databases, and tools dedicated to ncRNA identification and functional annotation. In this review, we aim to describe the biogenesis, biological functions, and interactions with DNA, RNA, protein, and microorganism of five major regulatory ncRNAs (miRNA, siRNA, tsRNA, circRNA, lncRNA) in plants. Then, we systematically summarize tools for analysis and prediction of plant ncRNAs, as well as databases. Furthermore, we discuss the silico analysis process of these ncRNAs and present a protocol for step-by-step computational analysis of ncRNAs. In general, this review will help researchers better understand the world of ncRNAs at multiple levels.

Indexed as

RNA, Long NoncodingRNA, UntranslatedComputational BiologyPlantsSequence Analysis, RNARNA, Long NoncodingRNA, UntranslatedncRNAncRNA functionncRNA interactionncRNA resourceplant

Identifiers

PMID35409060
PMCPMC8998614

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.