Evidence map›Paper›PMID 38474586›Full record

ArticleMolecules (Basel, Switzerland)2024

The Effect of Bacterial AHL on the Cyclic Adenosine Monophosphate Content in Plants According to High-Performance Liquid Chromatography.

Xuemeng Zhao, Wen Li, Xiliu Li, Zhenhua Jia, Shuishan Song, Qian Zhao

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Xuemeng ZhaoSchool of Biological Science and Engineering, Hebei University of Economics and Business, Shijiazhuang 050061, China.ORCID 0009-0006-0650-5634
Wen LiBiology Institute, Hebei Academy of Sciences, Shijiazhuang 050051, China.ORCID 0009-0002-9060-4547
Xiliu LiBiology Institute, Hebei Academy of Sciences, Shijiazhuang 050051, China.ORCID 0009-0000-0789-8632
Zhenhua JiaBiology Institute, Hebei Academy of Sciences, Shijiazhuang 050051, China.
Shuishan SongBiology Institute, Hebei Academy of Sciences, Shijiazhuang 050051, China.ORCID 0000-0002-9631-6450
Qian ZhaoBiology Institute, Hebei Academy of Sciences, Shijiazhuang 050051, China.ORCID 0000-0001-9724-2775
Hebei Academy of Sciences · CNHebei University of Economics and Business · CN

Funding

the Central Guidance on Local Science and Technology Development Fund of Hebei Province 226Z6501Gthe Science and Technology project of Hebei Academy of Sciences 20303the Science and Technology project of Hebei Academy of Sciences 22303
6 · The paper itself

Abstract

Cyclic adenosine monophosphate (cAMP) is an important second messenger in cells, mediating various stimulation signals such as the growth and development of organisms and stress and participating in regulating various biological processes of cells. This article explores the quantitative determination of cAMP in plants using High-Performance Liquid Chromatography (HPLC) and applies this method to analyzing the changes in cAMP content during the process of plant response to the bacterial quorum sensing signal

Indexed as

Acyl-ButyrolactonesArabidopsisAdenosine MonophosphateBacteriaChromatography, High Pressure LiquidCyclic AMPMethanolPlantsWaterAcyl-ButyrolactonesAdenosine MonophosphateCyclic AMPMethanolWatercyclic adenosine monophosphatedetermination of contenthigh-performance liquid chromatographyN-acyl homoserine lactoneplant

Identifiers

PMID38474586
PMCPMC10934129
OpenAlexW4392294856

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.