Literature DB >> 30948004

Identifying gene expression from single cells to single genes.

Nathalie Oulhen1, Stephany Foster1, Greg Wray2, Gary Wessel3.   

Abstract

Gene regulatory networks reveal how transcription factors contribute to a dynamic cascade of cellular information processing. Recent advances in technologies have enhanced the toolkit for testing GRN mechanisms and connections. Here we emphasize three approaches that we have found important for interrogating transcriptional mechanisms in echinoderms: single cell mRNA sequencing (drop-seq), nascent RNA detection and identification, and chromatin immunoprecipitation (ChIP). We present these applications in order since it is a logical experimental protocol. With preliminary information from bulk mRNA transcriptome analysis and differential gene expression studies (DE-seq), one may need to test in what specific cells important genes may be expressed and to use single cell sequencing to define such links. Nascent RNA analysis with the Click-iT chemistry allows the investigator to deduce when the RNA was transcribed, not just identify its presence, and ChIP allows the investigator to study direct interactions of putative transcriptional regulators with the gene promoter of interest. This flow of thinking, and the technologies to support it, is presented here for echinoderms. While many of the procedures are general and applicable to many organisms and cell types, we emphasize unique aspects of the protocols for consideration in using echinoderm embryos, larvae, and adult tissues.
© 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chromatin immunoprecipitation; Click-iT nascent RNA labeling; Drop-seq; Embryo dissociation; Single cell mRNA-seq

Mesh:

Substances:

Year:  2019        PMID: 30948004     DOI: 10.1016/bs.mcb.2018.11.018

Source DB:  PubMed          Journal:  Methods Cell Biol        ISSN: 0091-679X            Impact factor:   1.441


  3 in total

1.  A single cell RNA sequencing resource for early sea urchin development.

Authors:  Stephany Foster; Nathalie Oulhen; Gary Wessel
Journal:  Development       Date:  2020-09-11       Impact factor: 6.868

2.  Comprehensive Transcriptome Analysis of Rare Carpinus putoensis Plants under NO2 stress.

Authors:  Qianqian Sheng; Congzhe Liu; Min Song; Jingyuan Xu; Zunling Zhu
Journal:  Genes (Basel)       Date:  2021-05-17       Impact factor: 4.096

Review 3.  Functional genomics, genetic risk profiling and cell phenotypes in neurodegenerative disease.

Authors:  Steven Finkbeiner
Journal:  Neurobiol Dis       Date:  2020-09-23       Impact factor: 5.996

  3 in total

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