Evidence map›Paper›PMID 34541146›Full record

ArticleBio-protocol2017

GUS Staining of Guard Cells to Identify Localised Guard Cell Gene Expression.

Zhao Liu, Wei Wang, Chun-Guang Zhang, Jun-Feng Zhao, Yu-Ling Chen

Abstract read
In one paragraph

Article in Bio-protocol, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Overexpression ofGenes · 2025
    Article
  3. ThePlants (Basel, Switzerland) · 2023
    Article
  4. Cloning and functional analysis of theFrontiers in plant science · 2023
    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.

Zhao LiuHebei Key Laboratory of Molecular and Cellular Biology, Key Laboratory of Molecular and Cellular Biology of Ministry of Education, Hebei Collaboration Innovation Center for Cell Signaling, College of Life Science, Hebei Normal University, Shijiazhuang, China.
Wei WangBasic Forestry and Proteomics Research Center, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, China.
Chun-Guang ZhangHebei Key Laboratory of Molecular and Cellular Biology, Key Laboratory of Molecular and Cellular Biology of Ministry of Education, Hebei Collaboration Innovation Center for Cell Signaling, College of Life Science, Hebei Normal University, Shijiazhuang, China.
Jun-Feng ZhaoHebei Key Laboratory of Molecular and Cellular Biology, Key Laboratory of Molecular and Cellular Biology of Ministry of Education, Hebei Collaboration Innovation Center for Cell Signaling, College of Life Science, Hebei Normal University, Shijiazhuang, China.
Yu-Ling ChenHebei Key Laboratory of Molecular and Cellular Biology, Key Laboratory of Molecular and Cellular Biology of Ministry of Education, Hebei Collaboration Innovation Center for Cell Signaling, College of Life Science, Hebei Normal University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determination of a gene expression in guard cells is essential for studying stomatal movements. GUS staining is one means of detecting the localization of a gene expression in guard cells. If a gene is specially expressed in guard cells, the whole cotyledons or rosette leaf can be used for GUS staining. However, if a gene is expressed in both mesophyll and guard cells, it is hard to exhibit a clear expression of the gene in guard cells by a GUS staining image from leaf. To gain a clear guard cell GUS image of small G protein

Indexed as

Epidermal stripGene expressionGuard cellsGUS stainingLeaf

Identifiers

PMID34541146
PMCPMC8413494

What OpenQuestion holds

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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.