Literature DB >> 31364278

A Modified Injector and Sample Acquisition Protocol Can Improve Data Quality and Reduce Inter-Instrument Variability of the Helios Mass Cytometer.

Brian H Lee1, Geoffrey Kelly1, Shermineh Bradford1, Melanie Davila1, Xinzheng V Guo1, El-Ad David Amir2, Emily M Thrash3, Michael D Solga4, Joanne Lannigan4, Brian Sellers5, Julian Candia5, John Tsang5, Ruth R Montgomery6, Stanley J Tamaki7, Tara K Sigdel7, Minnie M Sarwal7, Lewis L Lanier8, Yuan Tian9, Cheryl Kim10, Denise Hinz10, Bjoern Peters9,11, Alessandro Sette9,11, Adeeb H Rahman1,12.   

Abstract

Mass cytometry is a powerful tool for high-dimensional single cell characterization. Since the introduction of the first commercial CyTOF mass cytometer by DVS Sciences in 2009, mass cytometry technology has matured and become more widely utilized, with sequential platform upgrades designed to address specific limitations and to expand the capabilities of the platform. Fluidigm's third-generation Helios mass cytometer introduced a number of upgrades over the previous CyTOF2. One of these new features is a modified narrow bore sample injector that generates smaller ion clouds, which is expected to improve sensitivity and throughput. However, following rigorous testing, we find that the narrow-bore sample injector may have unintended negative consequences on data quality and result in lower median and higher coefficients of variation in many antibody-associated signal intensities. We describe an alternative Helios acquisition protocol using a wider bore injector, which largely mitigates these data quality issues. We directly compare these two protocols in a multisite study of 10 Helios instruments across 7 institutions and show that the modified protocol improves data quality and reduces interinstrument variability. These findings highlight and address an important source of technical variability in mass cytometry experiments that is of particular relevance in the setting of multicenter studies.
© 2019 International Society for Advancement of Cytometry. © 2019 International Society for Advancement of Cytometry.

Entities:  

Keywords:  CyTOF; Reproduciblity; immune monitoring; immunology; mass cytometry; variability

Year:  2019        PMID: 31364278      PMCID: PMC6750971          DOI: 10.1002/cyto.a.23866

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


  10 in total

1.  FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data.

Authors:  Sofie Van Gassen; Britt Callebaut; Mary J Van Helden; Bart N Lambrecht; Piet Demeester; Tom Dhaene; Yvan Saeys
Journal:  Cytometry A       Date:  2015-01-08       Impact factor: 4.355

2.  Optimization of mass cytometry sample cryopreservation after staining.

Authors:  Hermi R Sumatoh; Karen Wei Weng Teng; Yang Cheng; Evan W Newell
Journal:  Cytometry A       Date:  2016-10-31       Impact factor: 4.355

3.  Average Overlap Frequency: A simple metric to evaluate staining quality and community identification in high dimensional mass cytometry experiments.

Authors:  El-Ad David Amir; Xinzheng V Guo; Oksana Mayovska; Adeeb H Rahman
Journal:  J Immunol Methods       Date:  2017-09-04       Impact factor: 2.303

Review 4.  Myeloid derived suppressor cells in human diseases.

Authors:  Tim F Greten; Michael P Manns; Firouzeh Korangy
Journal:  Int Immunopharmacol       Date:  2011-01-13       Impact factor: 4.932

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

7.  viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia.

Authors:  El-ad David Amir; Kara L Davis; Michelle D Tadmor; Erin F Simonds; Jacob H Levine; Sean C Bendall; Daniel K Shenfeld; Smita Krishnaswamy; Garry P Nolan; Dana Pe'er
Journal:  Nat Biotechnol       Date:  2013-05-19       Impact factor: 54.908

Review 8.  Cytobank: providing an analytics platform for community cytometry data analysis and collaboration.

Authors:  Tiffany J Chen; Nikesh Kotecha
Journal:  Curr Top Microbiol Immunol       Date:  2014       Impact factor: 4.291

9.  Normalization of mass cytometry data with bead standards.

Authors:  Rachel Finck; Erin F Simonds; Astraea Jager; Smita Krishnaswamy; Karen Sachs; Wendy Fantl; Dana Pe'er; Garry P Nolan; Sean C Bendall
Journal:  Cytometry A       Date:  2013-03-19       Impact factor: 4.355

10.  Clustergrammer, a web-based heatmap visualization and analysis tool for high-dimensional biological data.

Authors:  Nicolas F Fernandez; Gregory W Gundersen; Adeeb Rahman; Mark L Grimes; Klarisa Rikova; Peter Hornbeck; Avi Ma'ayan
Journal:  Sci Data       Date:  2017-10-10       Impact factor: 6.444

  10 in total
  7 in total

1.  High-Throughput Mass Cytometry Staining for Immunophenotyping Clinical Samples.

Authors:  Emily M Thrash; Katja Kleinsteuber; Emma S Hathaway; Matthew Nazzaro; Eric Haas; F Stephen Hodi; Mariano Severgnini
Journal:  STAR Protoc       Date:  2020-06-30

2.  CyTOF mass cytometry analysis of human memory CD4+ T cells and memory B cells.

Authors:  Lisa J Ioannidis; Andrew J Mitchell; Tian Zheng; Diana S Hansen
Journal:  STAR Protoc       Date:  2022-03-30

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.  Immune Profiling Mass Cytometry Assay Harmonization: Multicenter Experience from CIMAC-CIDC.

Authors:  Bita Sahaf; Mina Pichavant; Brian H Lee; Caroline Duault; Emily M Thrash; Melanie Davila; Nicolas Fernandez; Karen Millerchip; Salah-Eddine Bentebibel; Cara Haymaker; Natalia Sigal; Diane M Del Valle; Srinika Ranasinghe; Sarah Fayle; Beatriz Sanchez-Espiridion; Jiexin Zhang; Chantale Bernatchez; Catherine J Wu; Ignacio I Wistuba; Seunghee Kim-Schulze; Sacha Gnjatic; Sean C Bendall; Minkyung Song; Magdalena Thurin; J Jack Lee; Holden T Maecker; Adeeb Rahman
Journal:  Clin Cancer Res       Date:  2021-07-15       Impact factor: 12.531

5.  Data processing workflow for large-scale immune monitoring studies by mass cytometry.

Authors:  Paulina Rybakowska; Sofie Van Gassen; Katrien Quintelier; Yvan Saeys; Marta E Alarcón-Riquelme; Concepción Marañón
Journal:  Comput Struct Biotechnol J       Date:  2021-05-21       Impact factor: 7.271

6.  Chronic Stress-Induced Depression and Anxiety Priming Modulated by Gut-Brain-Axis Immunity.

Authors:  Susan Westfall; Francesca Caracci; Molly Estill; Tal Frolinger; Li Shen; Giulio M Pasinetti
Journal:  Front Immunol       Date:  2021-06-24       Impact factor: 7.561

7.  A Randomized Phase 2 Study of Pembrolizumab With or Without Radiation in Patients With Recurrent or Metastatic Adenoid Cystic Carcinoma.

Authors:  Umair Mahmood; Andrew Bang; Yu-Hui Chen; Raymond H Mak; Jochen H Lorch; Glenn J Hanna; Mizuki Nishino; Claire Manuszak; Emily M Thrash; Mariano Severgnini; Matthew Sanborn; Vishwajith Sridharan; Danielle N Margalit; Roy B Tishler; Paul M Busse; Henning Willers; Harvey J Mamon; Hyung-Jin Yoo; Sara I Pai; Lori J Wirth; Robert I Haddad; Nicole G Chau; Jonathan D Schoenfeld
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-08-08       Impact factor: 8.013

  7 in total

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