Evidence map›Paper›PMID 38247523›Full record

ReviewAntioxidants (Basel, Switzerland)2024

Application of Multi-Omics Technologies to the Study of Phytochromes in Plants.

Shumei Wu, Yue Gao, Qi Zhang, Fen Liu, Weiming Hu

Open access · goldAbstract readReview
In one paragraph

Review in Antioxidants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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.

Shumei WuBasic Medical Experiment Center, School of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang 330004, China.
Yue GaoBasic Medical Experiment Center, School of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang 330004, China.
Qi ZhangBasic Medical Experiment Center, School of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang 330004, China.
Fen LiuLushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332000, China.
Weiming HuLushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332000, China.ORCID 0000-0002-0151-886X
Jiangxi University of Traditional Chinese Medicine · CNLushan Botanical Garden · CN

Funding

Jiangxi Provincial International Science and Technology Cooperation Program S2023KJHZH0040Jiangxi Provincial Introduced Intelligence Program 20212BCJ25024Jiangxi Provincial Introduced Intelligence Program 20212BCJ25025Jiangxi Provincial Natural Science Foundation of China 20224BAB215002Jiujiang City "double hundred double thousand" talent project 000000National Natural Science Foundation of China 32160099
6 · The paper itself

Abstract

Phytochromes (phy) are distributed in various plant organs, and their physiological effects influence plant germination, flowering, fruiting, and senescence, as well as regulate morphogenesis throughout the plant life cycle. Reactive oxygen species (ROS) are a key regulatory factor in plant systemic responses to environmental stimuli, with an attractive regulatory relationship with phytochromes. With the development of high-throughput sequencing technology, omics techniques have become powerful tools, and researchers have used omics techniques to facilitate the big data revolution. For an in-depth analysis of phytochrome-mediated signaling pathways, integrated multi-omics (transcriptomics, proteomics, and metabolomics) approaches may provide the answer from a global perspective. This article comprehensively elaborates on applying multi-omics techniques in studying phytochromes. We describe the current research status and future directions on transcriptome-, proteome-, and metabolome-related network components mediated by phytochromes when cells are subjected to various stimulation. We emphasize the importance of multi-omics technologies in exploring the effects of phytochromes on cells and their molecular mechanisms. Additionally, we provide methods and ideas for future crop improvement.

Indexed as

crop improvementlight signalmulti-omicsphotomorphogenesisphytochrome

Identifiers

PMID38247523
PMCPMC10812741
OpenAlexW4390877440

What OpenQuestion 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 OpenQuestion graph.