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Quantifying Gene Expression Domains in Plant Shoot Apical Meristems.
Formosa-Jordan, Pau; Landrein, Benoit.
Afiliación
  • Formosa-Jordan P; Sainsbury Laboratory, University of Cambridge, Cambridge, UK. pformosa@mpipz.mpg.de.
  • Landrein B; Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany. pformosa@mpipz.mpg.de.
Methods Mol Biol ; 2686: 537-551, 2023.
Article en En | MEDLINE | ID: mdl-37540376
ABSTRACT
The shoot apical meristem is the plant tissue that produces the plant aerial organs such as flowers and leaves. To better understand how the shoot apical meristem develops and adapts to the environment, imaging developing shoot meristems expressing fluorescence reporters through laser confocal microscopy is becoming increasingly important. Yet, there are not many computational pipelines enabling a systematic and high-throughput characterization of the produced microscopy images. This chapter provides a simple method to analyze 3D images obtained through laser scanning microscopy and quantitatively characterize radially or axially symmetric 3D fluorescence domains expressed in a tissue or organ by a reporter. Then, it presents different computational pipelines aiming at performing high-throughput quantitative image analysis of gene expression in plant inflorescence and floral meristems. This methodology has notably enabled the quantitative characterization of how stem cells respond to environmental perturbations in the Arabidopsis thaliana inflorescence meristem and will open new avenues in the use of quantitative analysis of gene expression in shoot apical meristems. Overall, the presented methodology provides a simple framework to analyze quantitatively gene expression domains from 3D confocal images at the tissue and organ level, which can be applied to shoot meristems and other organs and tissues.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Arabidopsis / Proteínas de Arabidopsis Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Arabidopsis / Proteínas de Arabidopsis Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido