ReviewFrontiers in plant science2026
Big data approaches to understanding gene regulatory networks in the shoot apical meristem and
Review in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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4 authors.
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Abstract
Gene regulatory networks (GRNs) regulate the development and function of the shoot apical meristem (SAM) in higher plants by controlling the division, differentiation, and developmental fate of meristematic cells. These GRNs are composed of transcription factors and their target genes, and are also coordinated by phytohormones, microRNAs, and epigenetic regulators. With the increasing integration of multiomic and single cell approaches, large amounts of data relating to SAM regulation have been collated, providing insight to the interactions between many GRN components. Whilst many well-established experimental approaches such as gene knockouts, transgene overexpression and reporter gene imaging still heavily contribute to the understanding of these networks, the use of large-scale datasets to construct GRNs has driven novel hypothesis generation and has been used to predict network topology and component interactions. Many of these components and interactions have subsequently been explored
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