Literature DB >> 24166437

The use of fluorescence-activated cell sorting in studying plant development and environmental responses.

Anthony D Carter1, Roxanna Bonyadi, Miriam L Gifford.   

Abstract

Fluorescence-Activated Cell Sorting (FACS) is a powerful tool that enables plant growth and development to be studied at the cellular level. Flow cytometry is used to isolate subpopulations of cells, such as those of specific cell types, or cells at particular developmental stages that have been marked with fluorescent proteins. Transgenic technology has given us the ability to generate plants that express fluorescent proteins, not just constitutively in particular cell types, but also dynamically in response to endogenous or external factors. By processing such transgenic lines with FACS, it is possible to isolate distinct populations of cells in a wide range of likely response states for further analysis. This is particularly useful for investigating biological mechanisms in plants because the control of growth and development is manifest at the cell type level. Furthermore, the specificity of the resulting data enables fine modelling of the transcriptional networks that exert systems-level control of the transcriptome; hence key regulators of responses and processes in the plant can be identified. In this review, the current state of the art for FACS methods in plants is explored by means of case studies of research in which cell sorting allowed us to make significant new discoveries.

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Year:  2013        PMID: 24166437     DOI: 10.1387/ijdb.130195mg

Source DB:  PubMed          Journal:  Int J Dev Biol        ISSN: 0214-6282            Impact factor:   2.203


  9 in total

1.  Isolation of Cells Specialized in Anticancer Alkaloid Metabolism by Fluorescence-Activated Cell Sorting.

Authors:  Inês Carqueijeiro; Ana Luísa Guimarães; Sara Bettencourt; Teresa Martínez-Cortés; Joana G Guedes; Rui Gardner; Telma Lopes; Cláudia Andrade; Cláudia Bispo; Nuno Pimpão Martins; Paula Andrade; Patrícia Valentão; Inês M Valente; José A Rodrigues; Patrícia Duarte; Mariana Sottomayor
Journal:  Plant Physiol       Date:  2016-06-29       Impact factor: 8.340

2.  Cis-Regulatory Code for Predicting Plant Cell-Type Transcriptional Response to High Salinity.

Authors:  Sahra Uygun; Christina B Azodi; Shin-Han Shiu
Journal:  Plant Physiol       Date:  2019-09-24       Impact factor: 8.340

3.  Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development.

Authors:  Robyn M Johnston; Anne W Sylvester; Michael J Scanlon
Journal:  J Vis Exp       Date:  2017-03-05       Impact factor: 1.355

4.  Transcriptomic Signature of the SHATTERPROOF2 Expression Domain Reveals the Meristematic Nature of Arabidopsis Gynoecial Medial Domain.

Authors:  Gonzalo H Villarino; Qiwen Hu; Silvia Manrique; Miguel Flores-Vergara; Bhupinder Sehra; Linda Robles; Javier Brumos; Anna N Stepanova; Lucia Colombo; Eva Sundberg; Steffen Heber; Robert G Franks
Journal:  Plant Physiol       Date:  2016-03-16       Impact factor: 8.340

5.  Chromatin Immunoprecipitation Assay for the Identification of Arabidopsis Protein-DNA Interactions In Vivo.

Authors:  Dorota N Komar; Alfonso Mouriz; José A Jarillo; Manuel Piñeiro
Journal:  J Vis Exp       Date:  2016-01-14       Impact factor: 1.355

6.  Analytics in Microfluidic Systems.

Authors:  Martina Viefhues
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

Review 7.  A transcriptional view on somatic embryogenesis.

Authors:  Anneke Horstman; Marian Bemer; Kim Boutilier
Journal:  Regeneration (Oxf)       Date:  2017-12-05

8.  Cell-type specific metabolic profiling of Arabidopsis thaliana protoplasts as a tool for plant systems biology.

Authors:  Sara V Petersson; Pernilla Lindén; Thomas Moritz; Karin Ljung
Journal:  Metabolomics       Date:  2015-06-06       Impact factor: 4.290

9.  Fluorescence-Activated Cell Sorting Analysis of Heterotypic Cell-in-Cell Structures.

Authors:  Meifang He; Hongyan Huang; Manna Wang; Ang Chen; Xiangkai Ning; Kaitao Yu; Qihong Li; Wen Li; Li Ma; Zhaolie Chen; Xiaoning Wang; Qiang Sun
Journal:  Sci Rep       Date:  2015-04-27       Impact factor: 4.379

  9 in total

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