Evidence map›Paper›PMID 22582142›Full record

ArticleScientific reports2012

Statistical organelle dissection of Arabidopsis guard cells using image database LIPS.

Takumi Higaki, Natsumaro Kutsuna, Yoichiroh Hosokawa, Kae Akita, Kazuo Ebine, Takashi Ueda, Noriaki Kondo, Seiichiro Hasezawa

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  4. Plants (Basel, Switzerland) · 2021
    Article
  5. Frontiers in plant science · 2019
    Article
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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

8 authors at 4 institutions in 1 country.

Takumi HigakiDepartment of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwanoha Kashiwa, Chiba 277-8562, Japan. takumi.higaki@gmail.com
Natsumaro Kutsuna
Yoichiroh Hosokawa
Kae Akita
Kazuo Ebine
Takashi Ueda
Noriaki Kondo
Seiichiro Hasezawa
The University of Tokyo · JPChuo University · JPJapan Science and Technology Agency · JPNara Institute of Science and Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To comprehensively grasp cell biological events in plant stomatal movement, we have captured microscopic images of guard cells with various organelles markers. The 28,530 serial optical sections of 930 pairs of Arabidopsis guard cells have been released as a new image database, named Live Images of Plant Stomata (LIPS). We visualized the average organellar distributions in guard cells using probabilistic mapping and image clustering techniques. The results indicated that actin microfilaments and endoplasmic reticulum (ER) are mainly localized to the dorsal side and connection regions of guard cells. Subtractive images of open and closed stomata showed distribution changes in intracellular structures, including the ER, during stomatal movement. Time-lapse imaging showed that similar ER distribution changes occurred during stomatal opening induced by light irradiation or femtosecond laser shots on neighboring epidermal cells, indicating that our image analysis approach has identified a novel ER relocation in stomatal opening.

Indexed as

ArabidopsisArabidopsis ProteinsCluster AnalysisEndoplasmic ReticulumLightLuminescent ProteinsMicroscopy, FluorescenceOrganellesPlants, Genetically ModifiedPlant StomataPrincipal Component AnalysisProtein TransportTime-Lapse ImagingArabidopsis ProteinsLuminescent Proteins

Identifiers

PMID22582142
PMCPMC3349934
OpenAlexW1964175655

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.