ArticleMethods in molecular biology (Clifton, N.J.)2018
Analysis of Expression Gradients of Developmental Regulators in Arabidopsis thaliana Roots.
Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
What it found
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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.
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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.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Tyrosine-sulfated peptide-induced flavonol biosynthesis controls elongation and differentiation in Arabidopsis primary root.The Plant cell · 2026Article
- Potent inhibition of TCP transcription factors by miR319 ensures proper root growth in Arabidopsis.Plant molecular biology · 2022Article
- TheProceedings of the National Academy of Sciences of the United States of America · 2021Article
- Exogenous Nitro-Oleic Acid Treatment Inhibits Primary Root Growth by Reducing the Mitosis in the Meristem inFrontiers in plant science · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The regulatory mechanisms involved in plant development include many signals, some of them acting as graded positional cues regulating gene expression in a concentration-dependent manner. These regulatory molecules, that can be considered similar to animal morphogens, control cell behavior in developing organs. A suitable experimental approach to study expression gradients in plants is quantitative laser scanning confocal microscopy (LSCM) using Arabidopsis thaliana root tips as a model system. In this chapter, we outline a detailed method for image acquisition using LSCM, including detailed microscope settings and image analysis using FIJI as software platform.
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