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  Cell Type-Specific Gene Expression Profiling Using Fluorescence-Activated Nuclear Sorting

Slane, D., & Bayer, M. (2017). Cell Type-Specific Gene Expression Profiling Using Fluorescence-Activated Nuclear Sorting. In Methods in Molecular Biology. US: Springer. doi:10.1007/978-1-4939-7125-1_3.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0002-132D-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-592F-F
Genre: Book Chapter

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 Creators:
Slane, D1, Author           
Bayer, M1, Author           
Affiliations:
1Department Cell Biology, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3375717              

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 Abstract: Fluorescence-activated cell sorting (FACS) is a powerful method for the analysis of cell type-specific transcriptome profiles, DNA or histone modifications, and chemical compounds. In plants, it has been employed mainly with root and shoot tissue in combination with cell wall digestion on cellular and nuclear content. However, many tissues are recalcitrant to cell separation and are therefore not readily accessible for FACS analysis. Here, we lay out a detailed protocol for the generation of transcriptional profiles from fluorescently labeled nuclei. The protocol described in this chapter has been used successfully to generate a transcriptional map of the early Arabidopsis thaliana embryo.

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Language(s): eng - English
 Dates: 2017-062017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-1-4939-7125-1_3
PMID: 28623577
 Degree: -

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Title: Methods in Molecular Biology
  Other : Methods Mol. Biol.
Source Genre: Series
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Publ. Info: US : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1064-3745
CoNE: https://pure.mpg.de/cone/journals/resource/954927725544

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Title: Plant Gene Regulatory Networks: Methods and Protocols
Source Genre: Book
 Creator(s):
Kaufmann, K, Editor
Mueller-Roeber, B, Editor
Affiliations:
-
Publ. Info: New York, NY, USA : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 27 - 35 Identifier: ISBN: 978-1-4939-7124-4