Evidence map›Paper›PMID 39922983›Full record

ArticlePlanta2025

Different concentrations of carbon nanotubes promote or inhibit organogenesis of Arabidopsis explants by regulating endogenous hormone homeostasis.

Sainan Zhang, Shuaiqi Wang, Bing Zhang, Shaohui Yang, Jiehua Wang

Abstract read
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In one paragraph

Article in Planta, 2025. 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
–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

1 citing paper in PubMed.

  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

5 authors.

Sainan ZhangSchool of Environmental Science & Engineering, Tianjin University, Tianjin, 300350, China.
Shuaiqi WangSchool of Environmental Science & Engineering, Tianjin University, Tianjin, 300350, China.
Bing ZhangSchool of Environmental Science & Engineering, Tianjin University, Tianjin, 300350, China.
Shaohui YangSchool of Environmental Science & Engineering, Tianjin University, Tianjin, 300350, China.
Jiehua WangSchool of Environmental Science & Engineering, Tianjin University, Tianjin, 300350, China. jiehuawang@tju.edu.cn.ORCID http://orcid.org/0000-0002-8559-4797

Funding

National Natural Science Foundation of China No. 42177108
6 · The paper itself

Abstract

MAIN

conclusionCarbon nanotubes concentration modulates endogenous hormone balance, influencing callogenesis and organogenesis efficiency, with potential for optimizing plant transformation programs. A unique feature of plant somatic cells is their remarkable ability to regenerate new organs and even an entire plant in vitro. In this work, we investigated how an important group of environmental factors, carbon nanotubes (CNTs) (both single-walled nanotubes as SWCNTs and multi-walled nanotubes as MWCNTs), affect the regenerative capacity of plants and the underlying molecular mechanisms. Our data show that both the induction of pluripotent callus from Arabidopsis root explants and the frequency of de novo shoot regeneration were influenced by the concentration, but not the type of CNTs. Raman analyses show that CNTs can be transported and accumulate in the callus tissue and in the newly formed seedlings. The contrasting effects of CNTs at 0.1 mg L

Indexed as

ArabidopsisNanotubes, CarbonOrganogenesis, PlantPlant Growth RegulatorsArabidopsis ProteinsGene Expression Regulation, PlantHomeostasisIndoleacetic AcidsMeristemPlant RootsPlant ShootsRegenerationSeedlingsArabidopsis ProteinsIndoleacetic AcidsNanotubes, CarbonPlant Growth RegulatorsAuxin–cytokinin interplayCallus initiationDe novo shoot regenerationMulti-walled carbon nanotubes (MWCNT)Single-walled carbon nanotubes (SWCNT)

Identifiers

What OpenQuestion holds

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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.