Literature DB >> 28518070

Sample Preparation for Mass Cytometry Analysis.

Ryan L McCarthy1, Aundrietta D Duncan2, Michelle C Barton2.   

Abstract

Mass cytometry utilizes antibodies conjugated with heavy metal labels, an approach that has greatly increased the number of parameters and opportunities for deep analysis well beyond what is possible with conventional fluorescence-based flow cytometry. As with any new technology, there are critical steps that help ensure the reliable generation of high-quality data. Presented here is an optimized protocol that incorporates multiple techniques for the processing of cell samples for mass cytometry analysis. The methods described here will help the user avoid common pitfalls and achieve consistent results by minimizing variability, which can lead to inaccurate data. To inform experimental design, the rationale behind optional or alternative steps in the protocol and their efficacy in uncovering new findings in the biology of the system being investigated is covered. Lastly, representative data is presented to illustrate expected results from the techniques presented here.

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Year:  2017        PMID: 28518070      PMCID: PMC5565122          DOI: 10.3791/54394

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


  28 in total

1.  Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development.

Authors:  Sean C Bendall; Kara L Davis; El-Ad David Amir; Michelle D Tadmor; Erin F Simonds; Tiffany J Chen; Daniel K Shenfeld; Garry P Nolan; Dana Pe'er
Journal:  Cell       Date:  2014-04-24       Impact factor: 41.582

2.  X-FISH: Analysis of cellular RNA expression patterns using flow cytometry.

Authors:  Aja M Rieger; Jeffrey J Havixbeck; Daniel R Barreda
Journal:  J Immunol Methods       Date:  2015-05-19       Impact factor: 2.303

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.  Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data.

Authors:  Kirsten E Diggins; P Brent Ferrell; Jonathan M Irish
Journal:  Methods       Date:  2015-05-13       Impact factor: 3.608

5.  Combinatorial tetramer staining and mass cytometry analysis facilitate T-cell epitope mapping and characterization.

Authors:  Evan W Newell; Natalia Sigal; Nitya Nair; Brian A Kidd; Harry B Greenberg; Mark M Davis
Journal:  Nat Biotechnol       Date:  2013-06-09       Impact factor: 54.908

6.  Single-cell mass cytometry reveals intracellular survival/proliferative signaling in FLT3-ITD-mutated AML stem/progenitor cells.

Authors:  Lina Han; Peng Qiu; Zhihong Zeng; Jeffrey L Jorgensen; Duncan H Mak; Jared K Burks; Wendy Schober; Teresa J McQueen; Jorge Cortes; Scott D Tanner; Gail J Roboz; Hagop M Kantarjian; Steven M Kornblau; Monica L Guzman; Michael Andreeff; Marina Konopleva
Journal:  Cytometry A       Date:  2015-01-16       Impact factor: 4.355

7.  Brilliant violet fluorophores: a new class of ultrabright fluorescent compounds for immunofluorescence experiments.

Authors:  Pratip K Chattopadhyay; Brent Gaylord; Adrian Palmer; Nan Jiang; Mary A Raven; Geoff Lewis; Morgan A Reuter; A K M Nur-ur Rahman; David A Price; Michael R Betts; Mario Roederer
Journal:  Cytometry A       Date:  2012-04-06       Impact factor: 4.355

8.  Identification of hypoxic cells using an organotellurium tag compatible with mass cytometry.

Authors:  Landon J Edgar; Ravi N Vellanki; Adrienne Halupa; David Hedley; Bradly G Wouters; Mark Nitz
Journal:  Angew Chem Int Ed Engl       Date:  2014-09-04       Impact factor: 15.336

9.  Characterizing Phenotypes and Signaling Networks of Single Human Cells by Mass Cytometry.

Authors:  Nalin Leelatian; Kirsten E Diggins; Jonathan M Irish
Journal:  Methods Mol Biol       Date:  2015

10.  Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE.

Authors:  Peng Qiu; Erin F Simonds; Sean C Bendall; Kenneth D Gibbs; Robert V Bruggner; Michael D Linderman; Karen Sachs; Garry P Nolan; Sylvia K Plevritis
Journal:  Nat Biotechnol       Date:  2011-10-02       Impact factor: 54.908

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  4 in total

1.  p53 is essential for DNA methylation homeostasis in naïve embryonic stem cells, and its loss promotes clonal heterogeneity.

Authors:  Ayala Tovy; Adam Spiro; Ryan McCarthy; Zohar Shipony; Yael Aylon; Kendra Allton; Elena Ainbinder; Noa Furth; Amos Tanay; Michelle Barton; Moshe Oren
Journal:  Genes Dev       Date:  2017-06-12       Impact factor: 11.361

2.  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

Review 3.  CyTOF® for the Masses.

Authors:  Akshay Iyer; Anouk A J Hamers; Asha B Pillai
Journal:  Front Immunol       Date:  2022-04-14       Impact factor: 8.786

4.  GCN5 Regulates FGF Signaling and Activates Selective MYC Target Genes during Early Embryoid Body Differentiation.

Authors:  Li Wang; Evangelia Koutelou; Calley Hirsch; Ryan McCarthy; Andria Schibler; Kevin Lin; Yue Lu; Collene Jeter; Jianjun Shen; Michelle C Barton; Sharon Y R Dent
Journal:  Stem Cell Reports       Date:  2017-12-14       Impact factor: 7.765

  4 in total

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