Literature DB >> 23149654

Mass cytometry: protocol for daily tuning and running cell samples on a CyTOF mass cytometer.

Michael D Leipold1, Holden T Maecker.   

Abstract

In recent years, the rapid analysis of single cells has commonly been performed using flow cytometry and fluorescently-labeled antibodies. However, the issue of spectral overlap of fluorophore emissions has limited the number of simultaneous probes. In contrast, the new CyTOF mass cytometer by DVS Sciences couples a liquid single-cell introduction system to an ICP-MS. Rather than fluorophores, chelating polymers containing highly-enriched metal isotopes are coupled to antibodies or other specific probes. Because of the metal purity and mass resolution of the mass cytometer, there is no "spectral overlap" from neighboring isotopes, and therefore no need for compensation matrices. Additionally, due to the use of lanthanide metals, there is no biological background and therefore no equivalent of autofluorescence. With a mass window spanning atomic mass 103-203, theoretically up to 100 labels could be distinguished simultaneously. Currently, more than 35 channels are available using the chelating reagents available from DVS Sciences, allowing unprecedented dissection of the immunological profile of samples. Disadvantages to mass cytometry include the strict requirement for a separate metal isotope per probe (no equivalent of forward or side scatter), and the fact that it is a destructive technique (no possibility of sorting recovery). The current configuration of the mass cytometer also has a cell transmission rate of only ~25%, thus requiring a higher input number of cells. Optimal daily performance of the mass cytometer requires several steps. The basic goal of the optimization is to maximize the measured signal intensity of the desired metal isotopes (M) while minimizing the formation of oxides (M+16) that will decrease the M signal intensity and interfere with any desired signal at M+16. The first step is to warm up the machine so a hot, stable ICP plasma has been established. Second, the settings for current and make-up gas flow rate must be optimized on a daily basis. During sample collection, the maximum cell event rate is limited by detector efficiency and processing speed to 1000 cells/sec. However, depending on the sample quality, a slower cell event rate (300-500 cells/sec) is usually desirable to allow better resolution between cells events and thus maximize intact singlets over doublets and debris. Finally, adequate cleaning of the machine at the end of the day helps minimize background signal due to free metal.

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Year:  2012        PMID: 23149654      PMCID: PMC3499083          DOI: 10.3791/4398

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  6 in total

1.  Curious results with palladium- and platinum-carrying polymers in mass cytometry bioassays and an unexpected application as a dead cell stain.

Authors:  Daniel Majonis; Olga Ornatsky; Robert Kinach; Mitchell A Winnik
Journal:  Biomacromolecules       Date:  2011-09-28       Impact factor: 6.988

2.  Polymer-based elemental tags for sensitive bioassays.

Authors:  Xudong Lou; Guohua Zhang; Isaac Herrera; Robert Kinach; Olga Ornatsky; Vladimir Baranov; Mark Nitz; Mitchell A Winnik
Journal:  Angew Chem Int Ed Engl       Date:  2007       Impact factor: 15.336

3.  Cytometry by time-of-flight shows combinatorial cytokine expression and virus-specific cell niches within a continuum of CD8+ T cell phenotypes.

Authors:  Evan W Newell; Natalia Sigal; Sean C Bendall; Garry P Nolan; Mark M Davis
Journal:  Immunity       Date:  2012-01-27       Impact factor: 31.745

4.  Development of mass cytometry methods for bacterial discrimination.

Authors:  Michael D Leipold; Olga Ornatsky; Vladimir Baranov; Chris Whitfield; Mark Nitz
Journal:  Anal Biochem       Date:  2011-08-05       Impact factor: 3.365

5.  Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum.

Authors:  Sean C Bendall; Erin F Simonds; Peng Qiu; El-ad D Amir; Peter O Krutzik; Rachel Finck; Robert V Bruggner; Rachel Melamed; Angelica Trejo; Olga I Ornatsky; Robert S Balderas; Sylvia K Plevritis; Karen Sachs; Dana Pe'er; Scott D Tanner; Garry P Nolan
Journal:  Science       Date:  2011-05-06       Impact factor: 47.728

6.  Mass cytometry: technique for real time single cell multitarget immunoassay based on inductively coupled plasma time-of-flight mass spectrometry.

Authors:  Dmitry R Bandura; Vladimir I Baranov; Olga I Ornatsky; Alexei Antonov; Robert Kinach; Xudong Lou; Serguei Pavlov; Sergey Vorobiev; John E Dick; Scott D Tanner
Journal:  Anal Chem       Date:  2009-08-15       Impact factor: 6.986

  6 in total
  21 in total

1.  The H-Y Antigen in Embryonic Stem Cells Causes Rejection in Syngeneic Female Recipients.

Authors:  Xiaomeng Hu; Simon T Kueppers; Nigel G Kooreman; Alessia Gravina; Dong Wang; Grigol Tediashvili; Stephan Schlickeiser; Marco Frentsch; Christos Nikolaou; Andreas Thiel; Sivan Marcus; Sigrid Fuchs; Joachim Velden; Hermann Reichenspurner; Hans-Dieter Volk; Tobias Deuse; Sonja Schrepfer
Journal:  Stem Cells Dev       Date:  2020-08-25       Impact factor: 3.272

2.  Sample Preparation for Mass Cytometry Analysis.

Authors:  Ryan L McCarthy; Aundrietta D Duncan; Michelle C Barton
Journal:  J Vis Exp       Date:  2017-04-29       Impact factor: 1.355

Review 3.  Algorithmic Tools for Mining High-Dimensional Cytometry Data.

Authors:  Cariad Chester; Holden T Maecker
Journal:  J Immunol       Date:  2015-08-01       Impact factor: 5.422

4.  Expression of PD-1 by T Cells in Malignant Glioma Patients Reflects Exhaustion and Activation.

Authors:  Tom B Davidson; Alexander Lee; Melody Hsu; Shaina Sedighim; Joey Orpilla; Janet Treger; Max Mastall; Saskia Roesch; Carmen Rapp; Mildred Galvez; Aaron Mochizuki; Joseph Antonios; Alejandro Garcia; Nikesh Kotecha; Nicholas Bayless; David Nathanson; Anthony Wang; Richard Everson; William H Yong; Timothy F Cloughesy; Linda M Liau; Christel Herold-Mende; Robert M Prins
Journal:  Clin Cancer Res       Date:  2018-11-29       Impact factor: 12.531

5.  Multiparameter Phenotyping of Human PBMCs Using Mass Cytometry.

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

6.  Application of Mass Cytometry (CyTOF) for Functional and Phenotypic Analysis of Natural Killer Cells.

Authors:  Alexander W Kay; Dara M Strauss-Albee; Catherine A Blish
Journal:  Methods Mol Biol       Date:  2016

7.  Automation of sample preparation for mass cytometry barcoding in support of clinical research: protocol optimization.

Authors:  Ala F Nassar; Adam V Wisnewski; Khadir Raddassi
Journal:  Anal Bioanal Chem       Date:  2017-01-26       Impact factor: 4.142

8.  Implementing Mass Cytometry at the Bedside to Study the Immunological Basis of Human Diseases: Distinctive Immune Features in Patients with a History of Term or Preterm Birth.

Authors:  Brice Gaudillière; Edward A Ganio; Martha Tingle; Hope L Lancero; Gabriela K Fragiadakis; Quentin J Baca; Nima Aghaeepour; Ronald J Wong; Cele Quaintance; Yasser Y El-Sayed; Gary M Shaw; David B Lewis; David K Stevenson; Garry P Nolan; Martin S Angst
Journal:  Cytometry A       Date:  2015-07-17       Impact factor: 4.355

Review 9.  Head and Neck Cancer Stem Cells: From Identification to Tumor Immune Network.

Authors:  L K Dionne; E R Driver; X J Wang
Journal:  J Dent Res       Date:  2015-08-07       Impact factor: 6.116

10.  Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry.

Authors:  Ryan M Baxter; Daniel S Kong; Josselyn E Garcia-Perez; William E O'Gorman; Elena W Y Hsieh
Journal:  J Vis Exp       Date:  2018-06-26       Impact factor: 1.355

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