Literature DB >> 23512433

Normalization of mass cytometry data with bead standards.

Rachel Finck1, Erin F Simonds, Astraea Jager, Smita Krishnaswamy, Karen Sachs, Wendy Fantl, Dana Pe'er, Garry P Nolan, Sean C Bendall.   

Abstract

Mass cytometry uses atomic mass spectrometry combined with isotopically pure reporter elements to currently measure as many as 40 parameters per single cell. As with any quantitative technology, there is a fundamental need for quality assurance and normalization protocols. In the case of mass cytometry, the signal variation over time due to changes in instrument performance combined with intervals between scheduled maintenance must be accounted for and then normalized. Here, samples were mixed with polystyrene beads embedded with metal lanthanides, allowing monitoring of mass cytometry instrument performance over multiple days of data acquisition. The protocol described here includes simultaneous measurements of beads and cells on the mass cytometer, subsequent extraction of the bead-based signature, and the application of an algorithm enabling correction of both short- and long-term signal fluctuations. The variation in the intensity of the beads that remains after normalization may also be used to determine data quality. Application of the algorithm to a one-month longitudinal analysis of a human peripheral blood sample reduced the range of median signal fluctuation from 4.9-fold to 1.3-fold.
Copyright © 2013 International Society for Advancement of Cytometry.

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Year:  2013        PMID: 23512433      PMCID: PMC3688049          DOI: 10.1002/cyto.a.22271

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  9 in total

1.  Quality assurance for polychromatic flow cytometry.

Authors:  Stephen P Perfetto; David Ambrozak; Richard Nguyen; Pratip Chattopadhyay; Mario Roederer
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

2.  Metal-Containing Polystyrene Beads as Standards for Mass Cytometry.

Authors:  Ahmed I Abdelrahman; Olga Ornatsky; Dmitry Bandura; Vladimir Baranov; Robert Kinach; Sheng Dai; Stuart C Thickett; Scott Tanner; Mitchell A Winnik
Journal:  J Anal At Spectrom       Date:  2010       Impact factor: 4.023

Review 3.  Highly multiparametric analysis by mass cytometry.

Authors:  Olga Ornatsky; Dmitry Bandura; Vladimir Baranov; Mark Nitz; Mitchell A Winnik; Scott Tanner
Journal:  J Immunol Methods       Date:  2010-07-21       Impact factor: 2.303

4.  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

5.  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.  Multiplexed mass cytometry profiling of cellular states perturbed by small-molecule regulators.

Authors:  Bernd Bodenmiller; Eli R Zunder; Rachel Finck; Tiffany J Chen; Erica S Savig; Robert V Bruggner; Erin F Simonds; Sean C Bendall; Karen Sachs; Peter O Krutzik; Garry P Nolan
Journal:  Nat Biotechnol       Date:  2012-09       Impact factor: 54.908

7.  Per-channel basis normalization methods for flow cytometry data.

Authors:  Florian Hahne; Alireza Hadj Khodabakhshi; Ali Bashashati; Chao-Jen Wong; Randy D Gascoyne; Andrew P Weng; Vicky Seyfert-Margolis; Katarzyna Bourcier; Adam Asare; Thomas Lumley; Robert Gentleman; Ryan R Brinkman
Journal:  Cytometry A       Date:  2010-02       Impact factor: 4.355

8.  Lanthanide-containing polymer microspheres by multiple-stage dispersion polymerization for highly multiplexed bioassays.

Authors:  Ahmed I Abdelrahman; Sheng Dai; Stuart C Thickett; Olga Ornatsky; Dmitry Bandura; Vladimir Baranov; Mitchell A Winnik
Journal:  J Am Chem Soc       Date:  2009-10-28       Impact factor: 15.419

9.  Fluorescence intensity normalisation: correcting for time effects in large-scale flow cytometric analysis.

Authors:  Calliope A Dendrou; Erik Fung; Laura Esposito; John A Todd; Linda S Wicker; Vincent Plagnol
Journal:  Adv Bioinformatics       Date:  2009-11-17
  9 in total
  280 in total

1.  Single-cell mass cytometry of TCR signaling: amplification of small initial differences results in low ERK activation in NOD mice.

Authors:  Michael Mingueneau; Smita Krishnaswamy; Matthew H Spitzer; Sean C Bendall; Erica L Stone; Stephen M Hedrick; Dana Pe'er; Diane Mathis; Garry P Nolan; Christophe Benoist
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-31       Impact factor: 11.205

Review 2.  Single-cell mass cytometry for analysis of immune system functional states.

Authors:  Zach B Bjornson; Garry P Nolan; Wendy J Fantl
Journal:  Curr Opin Immunol       Date:  2013-08-31       Impact factor: 7.486

3.  An integrated framework using high-dimensional mass cytometry and fluorescent flow cytometry identifies discrete B cell subsets in patients with red meat allergy.

Authors:  Kelly M Cox; Scott P Commins; Brian J Capaldo; Lisa J Workman; Thomas A E Platts-Mills; El-Ad D Amir; Josephine A Lannigan; Alexander J Schuyler; Loren D Erickson
Journal:  Clin Exp Allergy       Date:  2019-01-08       Impact factor: 5.018

4.  Mass cytometry deep phenotyping of human mononuclear phagocytes and myeloid-derived suppressor cells from human blood and bone marrow.

Authors:  Mikael Roussel; P Brent Ferrell; Allison R Greenplate; Faustine Lhomme; Simon Le Gallou; Kirsten E Diggins; Douglas B Johnson; Jonathan M Irish
Journal:  J Leukoc Biol       Date:  2017-04-11       Impact factor: 4.962

5.  High standards for high dimensional investigations.

Authors:  Ruth R Montgomery
Journal:  Cytometry A       Date:  2016-09-23       Impact factor: 4.355

6.  Expression Analysis and Significance of PD-1, LAG-3, and TIM-3 in Human Non-Small Cell Lung Cancer Using Spatially Resolved and Multiparametric Single-Cell Analysis.

Authors:  Ila Datar; Miguel F Sanmamed; Jun Wang; Brian S Henick; Jungmin Choi; Ti Badri; Weilai Dong; Nikita Mani; Maria Toki; Luis D Mejías; Maria D Lozano; Jose Luis Perez-Gracia; Vamsidhar Velcheti; Matthew D Hellmann; Justin F Gainor; Kristen McEachern; David Jenkins; Konstantinos Syrigos; Katerina Politi; Scott Gettinger; David L Rimm; Roy S Herbst; Ignacio Melero; Lieping Chen; Kurt A Schalper
Journal:  Clin Cancer Res       Date:  2019-05-03       Impact factor: 12.531

7.  Laboratory mice born to wild mice have natural microbiota and model human immune responses.

Authors:  Jasmin Herz; Brian G Vassallo; Stephan P Rosshart; Ashli Hunter; Morgan K Wall; Jonathan H Badger; John A McCulloch; Dimitrios G Anastasakis; Aishe A Sarshad; Irina Leonardi; Nicholas Collins; Joshua A Blatter; Seong-Ji Han; Samira Tamoutounour; Svetlana Potapova; Mark B Foster St Claire; Wuxing Yuan; Shurjo K Sen; Matthew S Dreier; Benedikt Hild; Markus Hafner; David Wang; Iliyan D Iliev; Yasmine Belkaid; Giorgio Trinchieri; Barbara Rehermann
Journal:  Science       Date:  2019-08-01       Impact factor: 47.728

8.  Standardization and quality control for high-dimensional mass cytometry studies of human samples.

Authors:  Katja Kleinsteuber; Björn Corleis; Narges Rashidi; Nzuekoh Nchinda; Antonella Lisanti; Josalyn L Cho; Benjamin D Medoff; Douglas Kwon; Bruce D Walker
Journal:  Cytometry A       Date:  2016-08-30       Impact factor: 4.355

9.  Identification of NK Cell Subpopulations That Differentiate HIV-Infected Subject Cohorts with Diverse Levels of Virus Control.

Authors:  Christopher W Pohlmeyer; Veronica D Gonzalez; Alivelu Irrinki; Ricardo N Ramirez; Li Li; Andrew Mulato; Jeffrey P Murry; Aaron Arvey; Rebecca Hoh; Steven G Deeks; George Kukolj; Tomas Cihlar; Stefan Pflanz; Garry P Nolan; Gundula Min-Oo
Journal:  J Virol       Date:  2019-03-21       Impact factor: 5.103

10.  Differential Induction of IFN-α and Modulation of CD112 and CD54 Expression Govern the Magnitude of NK Cell IFN-γ Response to Influenza A Viruses.

Authors:  Lisa M Kronstad; Christof Seiler; Rosemary Vergara; Susan P Holmes; Catherine A Blish
Journal:  J Immunol       Date:  2018-08-24       Impact factor: 5.422

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