Literature DB >> 29512141

Flow Cytometry: An Overview.

Katherine M McKinnon1.   

Abstract

Flow cytometry is a technology that provides rapid multi-parametric analysis of single cells in solution. Flow cytometers utilize lasers as light sources to produce both scattered and fluorescent light signals that are read by detectors such as photodiodes or photomultiplier tubes. These light signals are converted into electronic signals that are analyzed by a computer and written to a standardized format (.fcs) data file. Cell populations can be analyzed and/or purified based on their fluorescent or light scattering characteristics. A variety of fluorescent reagents are utilized in flow cytometry. These include fluorescently conjugated antibodies, nucleic acid binding dyes, viability dyes, ion indicator dyes, and fluorescent expression proteins. Flow cytometry is a powerful tool that has applications in immunology, molecular biology, bacteriology, virology, cancer biology, and infectious disease monitoring. It has seen dramatic advances over the last 30 years, allowing unprecedented detail in studies of the immune system and other areas of cell biology. © 2018 by John Wiley & Sons, Inc.
Copyright © 2018 John Wiley & Sons, Inc.

Entities:  

Keywords:  flow cytometry; fluorescence; light scatter; reagents

Mesh:

Substances:

Year:  2018        PMID: 29512141      PMCID: PMC5939936          DOI: 10.1002/cpim.40

Source DB:  PubMed          Journal:  Curr Protoc Immunol        ISSN: 1934-3671


  6 in total

1.  Fluorescent proteins from nonbioluminescent Anthozoa species.

Authors:  M V Matz; A F Fradkov; Y A Labas; A P Savitsky; A G Zaraisky; M L Markelov; S A Lukyanov
Journal:  Nat Biotechnol       Date:  1999-10       Impact factor: 54.908

Review 2.  Imaging flow cytometry: coping with heterogeneity in biological systems.

Authors:  Natasha S Barteneva; Elizaveta Fasler-Kan; Ivan A Vorobjev
Journal:  J Histochem Cytochem       Date:  2012-06-27       Impact factor: 2.479

Review 3.  The green fluorescent protein.

Authors:  R Y Tsien
Journal:  Annu Rev Biochem       Date:  1998       Impact factor: 23.643

4.  Multiparameter Phenotyping of Human PBMCs Using Mass Cytometry.

Authors:  Michael D Leipold; Evan W Newell; Holden T Maecker
Journal:  Methods Mol Biol       Date:  2015

5.  Platinum-conjugated antibodies for application in mass cytometry.

Authors:  Henrik E Mei; Michael D Leipold; Holden T Maecker
Journal:  Cytometry A       Date:  2015-09-10       Impact factor: 4.355

6.  In vivo imaging of protein-protein and RNA-protein interactions using novel far-red fluorescence complementation systems.

Authors:  Yu Han; Shifeng Wang; Zhiping Zhang; Xiaohe Ma; Wei Li; Xiaowei Zhang; Jiaoyu Deng; Hongping Wei; Zhaoyang Li; Xian-En Zhang; Zongqiang Cui
Journal:  Nucleic Acids Res       Date:  2014-05-09       Impact factor: 16.971

  6 in total
  56 in total

Review 1.  Understanding nanoparticle endocytosis to improve targeting strategies in nanomedicine.

Authors:  Mauro Sousa de Almeida; Eva Susnik; Barbara Drasler; Patricia Taladriz-Blanco; Alke Petri-Fink; Barbara Rothen-Rutishauser
Journal:  Chem Soc Rev       Date:  2021-03-05       Impact factor: 54.564

2.  What is the future of electrical impedance spectroscopy in flow cytometry?

Authors:  Furkan Gökçe; Paolo S Ravaynia; Mario M Modena; Andreas Hierlemann
Journal:  Biomicrofluidics       Date:  2021-12-06       Impact factor: 2.800

3.  Protein Biomarkers in Monocytes and CD4+ Lymphocytes for Predicting Lithium Treatment Response of Bipolar Disorder: a Feasibility Study with Tyramine-Based Signal-Amplified Flow Cytometry.

Authors:  Keming Gao; Marzieh Ayati; Mehmet Koyuturk; Joseph R Calabrese; Stephen J Ganocy; Nicholas M Kaye; Hillard M Lazarus; Eric Christian; David Kaplan
Journal:  Psychopharmacol Bull       Date:  2022-02-25

Review 4.  Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches.

Authors:  Denis V Voronin; Anastasiia A Kozlova; Roman A Verkhovskii; Alexey V Ermakov; Mikhail A Makarkin; Olga A Inozemtseva; Daniil N Bratashov
Journal:  Int J Mol Sci       Date:  2020-03-27       Impact factor: 5.923

5.  Analysis of Somatic Hypermutation in the JH4 intron of Germinal Center B cells from Mouse Peyer's Patches.

Authors:  Emily Sible; Simin Zheng; Jee Eun Choi; Bao Q Vuong
Journal:  J Vis Exp       Date:  2021-04-20       Impact factor: 1.355

6.  CyAnno: A semi-automated approach for cell type annotation of mass cytometry datasets.

Authors:  Abhinav Kaushik; Diane Dunham; Ziyuan He; Monali Manohar; Manisha Desai; Kari C Nadeau; Sandra Andorf
Journal:  Bioinformatics       Date:  2021-05-25       Impact factor: 6.931

Review 7.  Interfacing Biomaterials with Synthetic T Cell Immunity.

Authors:  Fang-Yi Su; Quoc D Mac; Anirudh Sivakumar; Gabriel A Kwong
Journal:  Adv Healthc Mater       Date:  2021-04-22       Impact factor: 11.092

8.  A Simple and Robust Protocol for in vitro Differentiation of Mouse Non-pathogenic T Helper 17 Cells from CD4+ T Cells.

Authors:  Siwen Kang; Ruohan Wu; Ruoning Wang
Journal:  Bio Protoc       Date:  2021-05-20

9.  Population Dynamics and Neuronal Polyploidy in the Developing Neocortex.

Authors:  Thomas Jungas; Mathieu Joseph; Mohamad-Ali Fawal; Alice Davy
Journal:  Cereb Cortex Commun       Date:  2020-09-07

Review 10.  The contribution of single-cell analysis of acute leukemia in the therapeutic strategy.

Authors:  Lamia Madaci; Julien Colle; Geoffroy Venton; Laure Farnault; Béatrice Loriod; Régis Costello
Journal:  Biomark Res       Date:  2021-06-27
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