Literature DB >> 27888565

Applying Mass Cytometry to the Analysis of Lymphoid Populations in Transplantation.

S M Krams1,2, S Schaffert2, A H Lau1, O M Martinez1,2.   

Abstract

Single-cell flow cytometric techniques have been indispensable to improving our understanding of the phenotype and function of immune cell subsets that are important in both rejection and tolerance after transplant. Mass cytometry, or cytometry by time of flight, is a single-cell-based platform that utilizes antibodies conjugated to rare heavy metal ions for analysis of cellular proteins by a time-of-flight mass spectrometer. This new technology allows for the evaluation of >40 simultaneous cellular parameters in a single sample because the limitation of spectral overlap, seen in conventional flow cytometry, is eliminated. In this review, we discuss the current state of mass cytometry, describe the advantages and disadvantages compared with multiparameter flow cytometry, introduce novel methods of high-dimensional data analysis and visualization, and review some recent studies using mass cytometry to profile the immune systems of healthy people and transplant recipients.
© 2016 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  basic (laboratory) research/science; cellular biology; flow cytometry; immunobiology; informatics; lymphocyte biology; monitoring: immune; translational research/science

Mesh:

Year:  2016        PMID: 27888565      PMCID: PMC5526773          DOI: 10.1111/ajt.14145

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  30 in total

1.  Mass cytometry moving forward in support of clinical research: advantages and considerations.

Authors:  Ala F Nassar; Adam V Wisnewski; Khadir Raddassi
Journal:  Bioanalysis       Date:  2016-02-05       Impact factor: 2.681

2.  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

Review 3.  Mass cytometry: a highly multiplexed single-cell technology for advancing drug development.

Authors:  Kondala R Atkuri; Jeffrey C Stevens; Hendrik Neubert
Journal:  Drug Metab Dispos       Date:  2014-10-27       Impact factor: 3.922

4.  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

Review 5.  Mass cytometry: blessed with the curse of dimensionality.

Authors:  Evan W Newell; Yang Cheng
Journal:  Nat Immunol       Date:  2016-07-19       Impact factor: 25.606

Review 6.  Deep Profiling Human T Cell Heterogeneity by Mass Cytometry.

Authors:  Y Cheng; E W Newell
Journal:  Adv Immunol       Date:  2016-04-08       Impact factor: 3.543

7.  Genetic and environmental determinants of human NK cell diversity revealed by mass cytometry.

Authors:  Amir Horowitz; Dara M Strauss-Albee; Michael Leipold; Jessica Kubo; Neda Nemat-Gorgani; Ozge C Dogan; Cornelia L Dekker; Sally Mackey; Holden Maecker; Gary E Swan; Mark M Davis; Paul J Norman; Lisbeth A Guethlein; Manisha Desai; Peter Parham; Catherine A Blish
Journal:  Sci Transl Med       Date:  2013-10-23       Impact factor: 17.956

8.  Categorical Analysis of Human T Cell Heterogeneity with One-Dimensional Soli-Expression by Nonlinear Stochastic Embedding.

Authors:  Yang Cheng; Michael T Wong; Laurens van der Maaten; Evan W Newell
Journal:  J Immunol       Date:  2015-12-14       Impact factor: 5.422

9.  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

10.  Critical assessment of automated flow cytometry data analysis techniques.

Authors:  Nima Aghaeepour; Greg Finak; Holger Hoos; Tim R Mosmann; Ryan Brinkman; Raphael Gottardo; Richard H Scheuermann
Journal:  Nat Methods       Date:  2013-02-10       Impact factor: 28.547

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  5 in total

Review 1.  Single cell immune profiling in transplantation research.

Authors:  Lauren E Higdon; Steven Schaffert; Purvesh Khatri; Jonathan S Maltzman
Journal:  Am J Transplant       Date:  2019-03-20       Impact factor: 8.086

Review 2.  Infectious pathogens may trigger specific allo-HLA reactivity via multiple mechanisms.

Authors:  Lloyd D'Orsogna; Heleen van den Heuvel; Cees van Kooten; Sebastiaan Heidt; Frans H J Claas
Journal:  Immunogenetics       Date:  2017-07-17       Impact factor: 2.846

Review 3.  Revisiting transplant immunology through the lens of single-cell technologies.

Authors:  Arianna Barbetta; Brittany Rocque; Deepika Sarode; Johanna Ascher Bartlett; Juliet Emamaullee
Journal:  Semin Immunopathol       Date:  2022-08-18       Impact factor: 11.759

4.  Combining Flow and Mass Cytometry in the Search for Biomarkers in Chronic Graft-versus-Host Disease.

Authors:  Arwen Stikvoort; Yang Chen; Emelie Rådestad; Johan Törlén; Tadepally Lakshmikanth; Andreas Björklund; Jaromir Mikes; Adnane Achour; Jens Gertow; Berit Sundberg; Mats Remberger; Mikael Sundin; Jonas Mattsson; Petter Brodin; Michael Uhlin
Journal:  Front Immunol       Date:  2017-06-19       Impact factor: 7.561

Review 5.  Immunological Prediction of Cytomegalovirus (CMV) Replication Risk in Solid Organ Transplantation Recipients: Approaches for Regulating the Targeted Anti-CMV Prevention Strategies.

Authors:  Sang Hoon Han
Journal:  Infect Chemother       Date:  2017-09
  5 in total

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