Mapping a Transcriptome-Guided Arabidopsis SAM Interactome

Document Type

Article

Source of Publication

Methods in Molecular Biology

Publication Date

1-1-2020

Abstract

© Springer Science+Business Media, LLC, part of Springer Nature 2020. The advent of multi-OMICS approaches has a significant impact on the investigation of biological processes occurring in plants. RNA-SEQ, cellular proteomics, and metabolomics have added a considerable ease in studying the dynamics of stem cell niches. New cell sorting approaches coupled with the labeling of stem cell population specific marker genes are highly instrumental in enriching distinct cellular populations for various types of analysis. One more promising field of OMICS is the mapping of cellular interactomes. The plant stem cells research is barely profited from this newly emerging field of OMICS. Generation of stem cell/niche-specific interactome is a time-consuming and labor-intensive task. Here, we describe a method on how to assemble a SAM-based interactome after using the available generic Arabidopsis interactomes. To define the context of SAM in a generic interactome, we used SAM cell population transcriptome datasets. Our step-by-step protocol can easily be adopted for other stem cell niches such as RAM and lateral meristems keeping in view the availability of transcriptome datasets for cellular populations of these niches.

ISSN

1064-3745

Publisher

Springer US

Volume

2094

First Page

113

Last Page

118

Disciplines

Medicine and Health Sciences

Keywords

Interactomes, OMICs, RAM, SAM, Transcriptome

Scopus ID

85076096807

Indexed in Scopus

yes

Open Access

no

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