Evidence map›Paper›PMID 36416120›Full record

ArticleBriefings in bioinformatics2023

From single- to multi-omics: future research trends in medicinal plants.

Lifang Yang, Ye Yang, Luqi Huang, Xiuming Cui, Yuan Liu

Open access · bronzeAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.9field-weighted citation impact, top 5% of its field
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

28 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Frontiers in plant science · 2026
    Article
  10. Article
  11. KoreanFrontiers in pharmacology · 2026
    Review
  12. Nucleic acids in medicinal plants and their pharmaceutical potential.Extracellular vesicles and circulating nucleic acids · 2026
    Review
  13. Article
  14. MicroRNA gatekeepers: Orchestrating rhizospheric dynamics.Journal of integrative plant biology · 2025
    Review
  15. Review
  16. Plant stress and proteomics in medicinal plants.Frontiers in plant science · 2025
    Review
  17. Review
  18. Article
  19. Transcriptome and metabolome analysis ofFrontiers in plant science · 2025
    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

5 authors at 2 institutions in 1 country.

Lifang YangKunming University of Science and Technology, China.ORCID 0000-0002-0954-0957
Ye YangKunming University of Science and Technology, China.
Luqi Huangthe academician of the Chinese Academy of Engineering, studies the development of traditional Chinese medicine, Chinese Academy of Chinese Medical Sciences, China.
Xiuming CuiKunming University of Science and Technology, China.
Yuan LiuKunming University of Science and Technology, China.
Kunming University of Science and Technology · CNChinese Academy of Engineering · CN

Funding

Major Science and Technology Special Project of Yunnan Province 202102AA310034National Natural Science Foundation of China 31960134Yunnan Major Scientific and Technological Projects KKAN20222025
6 · The paper itself

Abstract

Medicinal plants are the main source of natural metabolites with specialised pharmacological activities and have been widely examined by plant researchers. Numerous omics studies of medicinal plants have been performed to identify molecular markers of species and functional genes controlling key biological traits, as well as to understand biosynthetic pathways of bioactive metabolites and the regulatory mechanisms of environmental responses. Omics technologies have been widely applied to medicinal plants, including as taxonomics, transcriptomics, metabolomics, proteomics, genomics, pangenomics, epigenomics and mutagenomics. However, because of the complex biological regulation network, single omics usually fail to explain the specific biological phenomena. In recent years, reports of integrated multi-omics studies of medicinal plants have increased. Until now, there have few assessments of recent developments and upcoming trends in omics studies of medicinal plants. We highlight recent developments in omics research of medicinal plants, summarise the typical bioinformatics resources available for analysing omics datasets, and discuss related future directions and challenges. This information facilitates further studies of medicinal plants, refinement of current approaches and leads to new ideas.

Indexed as

Plants, MedicinalComputational BiologyGenomicsMetabolomicsMultiomicsProteomicsbioinformatics resourcemedicinal plantmulti-omics analysissingle omics

Identifiers

PMID36416120
PMCPMC9851310
OpenAlexW4309839025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.