Literature DB >> 34395794

Dual Fluorescence Reporter Based Analytical Flow Cytometry for miRNA Induced Regulation in Mammalian Cells.

Nicolas Lemus-Diaz1, Liezel Tamon1, Jens Gruber1.   

Abstract

MicroRNA-induced gene regulation is a growing field in basic and translational research. Examining this regulation directly in cells is necessary to validate high-throughput data originated from RNA sequencing technologies. For this several studies employ luciferase-based reporters that usually measure the whole cell population, which comes with low resolution for the complexity of the miRNA-induced regulation. Here, we provide a protocol using a dual-fluorescence reporter and flow cytometry reaching single cell resolution; the protocol contains a simplified workflow that includes: vector generation, data acquisition, processing, and analysis using the R environment. Our protocol enables high-resolution measurements of miRNA induced post-transcriptional gene regulation and combined with system biology it can be used to estimate miRNAs proficiency.
Copyright © 2018 The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  Dual fluorescence reporter; Flow cytometry; Flow-Cytometry; Functional assay; Gene regulation; Reporter gene system; Single cell analysis; Small RNA; miRNA; ncRNA; non-protein-coding RNA

Year:  2018        PMID: 34395794      PMCID: PMC8328604          DOI: 10.21769/BioProtoc.3000

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  36 in total

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Authors:  Christine Ender; Azra Krek; Marc R Friedländer; Michaela Beitzinger; Lasse Weinmann; Wei Chen; Sébastien Pfeffer; Nikolaus Rajewsky; Gunter Meister
Journal:  Mol Cell       Date:  2008-11-21       Impact factor: 17.970

4.  Unambiguous identification of miRNA:target site interactions by different types of ligation reactions.

Authors:  Stefanie Grosswendt; Andrei Filipchyk; Mark Manzano; Filippos Klironomos; Marcel Schilling; Margareta Herzog; Eva Gottwein; Nikolaus Rajewsky
Journal:  Mol Cell       Date:  2014-05-22       Impact factor: 17.970

Review 5.  Metazoan MicroRNAs.

Authors:  David P Bartel
Journal:  Cell       Date:  2018-03-22       Impact factor: 41.582

6.  Bioconductor: open software development for computational biology and bioinformatics.

Authors:  Robert C Gentleman; Vincent J Carey; Douglas M Bates; Ben Bolstad; Marcel Dettling; Sandrine Dudoit; Byron Ellis; Laurent Gautier; Yongchao Ge; Jeff Gentry; Kurt Hornik; Torsten Hothorn; Wolfgang Huber; Stefano Iacus; Rafael Irizarry; Friedrich Leisch; Cheng Li; Martin Maechler; Anthony J Rossini; Gunther Sawitzki; Colin Smith; Gordon Smyth; Luke Tierney; Jean Y H Yang; Jianhua Zhang
Journal:  Genome Biol       Date:  2004-09-15       Impact factor: 13.583

7.  Argonaute divides its RNA guide into domains with distinct functions and RNA-binding properties.

Authors:  Liang Meng Wee; C Fabián Flores-Jasso; William E Salomon; Phillip D Zamore
Journal:  Cell       Date:  2012-11-21       Impact factor: 41.582

8.  Mapping the human miRNA interactome by CLASH reveals frequent noncanonical binding.

Authors:  Aleksandra Helwak; Grzegorz Kudla; Tatiana Dudnakova; David Tollervey
Journal:  Cell       Date:  2013-04-25       Impact factor: 41.582

9.  p53 Represses the Oncogenic Sno-MiR-28 Derived from a SnoRNA.

Authors:  Feng Yu; Cameron P Bracken; Katherine A Pillman; David M Lawrence; Gregory J Goodall; David F Callen; Paul M Neilsen
Journal:  PLoS One       Date:  2015-06-10       Impact factor: 3.240

10.  Understanding microRNA-mediated gene regulatory networks through mathematical modelling.

Authors:  Xin Lai; Olaf Wolkenhauer; Julio Vera
Journal:  Nucleic Acids Res       Date:  2016-06-17       Impact factor: 16.971

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