Literature DB >> 29277634

A sensitive flow cytometric method for multi-parametric analysis of microRNA, messenger RNA and protein in single cells.

Chunfai Lai1, Dariusz Stepniak2, Leslie Sias3, Castle Funatake2.   

Abstract

Analysis of RNA expression in mixed cell populations often requires laborious and costly cell sorting. Here we describe a flow cytometric assay that combines antibody staining and in situ hybridization for multi-parametric analysis of single cells. This method, referred to as the PrimeFlow™ RNA Assay, enables simultaneous detection of protein markers and RNA targets in mixed cell populations. Both coding and non-coding RNA sequences can be measured with a limit of detection of approximately 10 copies of mRNA and 20 copies of microRNA per cell. In this study, we used mouse bone marrow-derived macrophages to demonstrate that our method allows for analysis of the activation and polarization status of cells using expression patterns of protein and RNA. We then performed analysis of four cell subsets of mouse resident peritoneal cells and showed that the two macrophage populations present in this compartment are relatively heterogeneous in terms of expression of two M2 markers: Arg1, Retnla, and a B-cell attractant chemokine Cxcl13. In addition, we profiled the expression of a panel of microRNA in the four peritoneal cell subsets, showing that the assay can be readily adapted to parallel, high-throughput screening of multiple cell populations. This new method allows for single cell analysis of multiple RNA targets without the need for cell sorting, enables direct correlation between RNA and protein expression, and promises to accelerate biomarker and drug discovery.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Branched DNA; Macrophage activation; MicroRNA; Mouse peritoneal cells; PrimeFlow RNA Assay; RNA flow

Mesh:

Substances:

Year:  2017        PMID: 29277634     DOI: 10.1016/j.ymeth.2017.12.016

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  8 in total

1.  Peripheral blood microRNA levels in females with cocaine use disorder.

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Journal:  J Psychiatr Res       Date:  2019-04-02       Impact factor: 4.791

2.  A Multiparameter Flow Cytometry Analysis Panel to Assess CD163 mRNA and Protein in Monocyte and Macrophage Populations in Hyperinflammatory Diseases.

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3.  Microdroplet-based one-step RT-PCR for ultrahigh throughput single-cell multiplex gene expression analysis and rare cell detection.

Authors:  Jennifer Ma; Gary Tran; Alwin M D Wan; Edmond W K Young; Eugenia Kumacheva; Norman N Iscove; Peter W Zandstra
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Review 4.  RNA Flow Cytometry for the Study of T Cell Metabolism.

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Review 5.  Multiomics uncovers developing immunological lineages in human.

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Authors:  Jessica A Hensel; Brent D Heineman; Amy L Kimble; Evan R Jellison; Bo Reese; Patrick A Murphy
Journal:  Sci Rep       Date:  2021-10-06       Impact factor: 4.379

Review 7.  The Intriguing Landscape of Single-Cell Protein Analysis.

Authors:  Haiyang Xie; Xianting Ding
Journal:  Adv Sci (Weinh)       Date:  2022-02-24       Impact factor: 17.521

8.  IL-23 supports host defense against systemic Candida albicans infection by ensuring myeloid cell survival.

Authors:  Selim Nur; Florian Sparber; Christina Lemberg; Eva Guiducci; Tiziano A Schweizer; Pascale Zwicky; Burkhard Becher; Salomé LeibundGut-Landmann
Journal:  PLoS Pathog       Date:  2019-12-30       Impact factor: 6.823

  8 in total

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