Literature DB >> 22391486

Cytometry: today's technology and tomorrow's horizons.

Pratip K Chattopadhyay1, Mario Roederer.   

Abstract

Flow cytometry has been the premier tool for single cell analysis since its invention in the 1960s. It has maintained this position through steady advances in technology and applications, becoming the main force behind interrogating the complexities of the immune system. Technology development was a three-pronged effort, including the hardware, reagents, and analysis algorithms to allow measurement of as many as 20 independent parameters on each cell, at tens of thousands of cells per second. In the coming years, cytometry technology will integrate with other techniques, such as transcriptomics, metabolomics, and so forth. Ongoing efforts are aimed at algorithms to analyse these aggregated datasaets over large numbers of samples. Here we review the development efforts heralding the next stage of flow cytometry. Published by Elsevier Inc.

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Year:  2012        PMID: 22391486      PMCID: PMC3374038          DOI: 10.1016/j.ymeth.2012.02.009

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  40 in total

1.  Frequency difference gating: a multivariate method for identifying subsets that differ between samples.

Authors:  M Roederer; R R Hardy
Journal:  Cytometry       Date:  2001-09-01

2.  Thymus and autoimmunity: production of CD25+CD4+ naturally anergic and suppressive T cells as a key function of the thymus in maintaining immunologic self-tolerance.

Authors:  M Itoh; T Takahashi; N Sakaguchi; Y Kuniyasu; J Shimizu; F Otsuka; S Sakaguchi
Journal:  J Immunol       Date:  1999-05-01       Impact factor: 5.422

3.  The colorful future of cell analysis by flow cytometry.

Authors:  Pratip K Chattopadhyay; Stephen P Perfetto; Mario Roederer
Journal:  Discov Med       Date:  2004-10       Impact factor: 2.970

4.  Rapid cell population identification in flow cytometry data.

Authors:  Nima Aghaeepour; Radina Nikolic; Holger H Hoos; Ryan R Brinkman
Journal:  Cytometry A       Date:  2011-01       Impact factor: 4.355

5.  Multifunctional TH1 cells define a correlate of vaccine-mediated protection against Leishmania major.

Authors:  Patricia A Darrah; Dipti T Patel; Paula M De Luca; Ross W B Lindsay; Dylan F Davey; Barbara J Flynn; Søren T Hoff; Peter Andersen; Steven G Reed; Sheldon L Morris; Mario Roederer; Robert A Seder
Journal:  Nat Med       Date:  2007-06-10       Impact factor: 53.440

6.  CD4+CD25+ T cells inhibit both the induction and effector function of autoreactive T cells and represent a unique lineage of immunoregulatory cells.

Authors:  E Suri-Payer; A Z Amar; A M Thornton; E M Shevach
Journal:  J Immunol       Date:  1998-02-01       Impact factor: 5.422

7.  SPICE: exploration and analysis of post-cytometric complex multivariate datasets.

Authors:  Mario Roederer; Joshua L Nozzi; Martha C Nason
Journal:  Cytometry A       Date:  2011-01-07       Impact factor: 4.355

8.  Foxp3 programs the development and function of CD4+CD25+ regulatory T cells.

Authors:  Jason D Fontenot; Marc A Gavin; Alexander Y Rudensky
Journal:  Nat Immunol       Date:  2003-03-03       Impact factor: 25.606

9.  HIV nonprogressors preferentially maintain highly functional HIV-specific CD8+ T cells.

Authors:  Michael R Betts; Martha C Nason; Sadie M West; Stephen C De Rosa; Stephen A Migueles; Jonathan Abraham; Michael M Lederman; Jose M Benito; Paul A Goepfert; Mark Connors; Mario Roederer; Richard A Koup
Journal:  Blood       Date:  2006-02-07       Impact factor: 22.113

10.  CD127 expression inversely correlates with FoxP3 and suppressive function of human CD4+ T reg cells.

Authors:  Weihong Liu; Amy L Putnam; Zhou Xu-Yu; Gregory L Szot; Michael R Lee; Shirley Zhu; Peter A Gottlieb; Philipp Kapranov; Thomas R Gingeras; Barbara Fazekas de St Groth; Carol Clayberger; David M Soper; Steven F Ziegler; Jeffrey A Bluestone
Journal:  J Exp Med       Date:  2006-07-03       Impact factor: 14.307

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  51 in total

Review 1.  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

2.  Cracking the code of human T-cell immunity.

Authors:  Christopher J Harvey; Kai W Wucherpfennig
Journal:  Nat Biotechnol       Date:  2013-07       Impact factor: 54.908

3.  Thinking outside the gate: single-cell assessments in multiple dimensions.

Authors:  Pia Kvistborg; Cécile Gouttefangeas; Nima Aghaeepour; Angelica Cazaly; Pratip K Chattopadhyay; Cliburn Chan; Judith Eckl; Greg Finak; Sine Reker Hadrup; Holden T Maecker; Dominik Maurer; Tim Mosmann; Peng Qiu; Richard H Scheuermann; Marij J P Welters; Guido Ferrari; Ryan R Brinkman; Cedrik M Britten
Journal:  Immunity       Date:  2015-04-21       Impact factor: 31.745

4.  Intracellular Staining and Flow Cytometry to Identify Lymphocyte Subsets within Murine Aorta, Kidney and Lymph Nodes in a Model of Hypertension.

Authors:  Fanny Laroumanie; Bethany L Dale; Mohamed A Saleh; Meena S Madhur
Journal:  J Vis Exp       Date:  2017-01-28       Impact factor: 1.355

5.  Bioconjugatable, PEGylated Hydroporphyrins for Photochemistry and Photomedicine. Narrow-Band, Red-Emitting Chlorins.

Authors:  Mengran Liu; Chih-Yuan Chen; Amit Kumar Mandal; Vanampally Chandrashaker; Rosemary B Evans-Storms; J Bruce Pitner; David F Bocian; Dewey Holten; Jonathan S Lindsey
Journal:  New J Chem       Date:  2016-07-21       Impact factor: 3.591

6.  A method for high purity sorting of rare cell subsets applied to TDC.

Authors:  Mirela Kuka; Jonathan D Ashwell
Journal:  J Immunol Methods       Date:  2013-10-11       Impact factor: 2.303

7.  Nivolumab and ipilimumab are associated with distinct immune landscape changes and response-associated immunophenotypes.

Authors:  David M Woods; Andressa S Laino; Aidan Winters; Jason Alexandre; Daniel Freeman; Vinay Rao; Santi S Adavani; Jeffery S Weber; Pratip K Chattopadhyay
Journal:  JCI Insight       Date:  2020-06-04

8.  Detection of minimal residual disease in B lymphoblastic leukemia using viSNE.

Authors:  Joseph A DiGiuseppe; Michelle D Tadmor; Dana Pe'er
Journal:  Cytometry B Clin Cytom       Date:  2015-06-02       Impact factor: 3.058

9.  FISH-Flow, a protocol for the concurrent detection of mRNA and protein in single cells using fluorescence in situ hybridization and flow cytometry.

Authors:  Riccardo Arrigucci; Yuri Bushkin; Felix Radford; Karim Lakehal; Pooja Vir; Richard Pine; December Martin; Jeffrey Sugarman; Yanlin Zhao; George S Yap; Alfred A Lardizabal; Sanjay Tyagi; Maria Laura Gennaro
Journal:  Nat Protoc       Date:  2017-05-18       Impact factor: 13.491

10.  Large-scale detection of antigen-specific T cells using peptide-MHC-I multimers labeled with DNA barcodes.

Authors:  Amalie Kai Bentzen; Andrea Marion Marquard; Rikke Lyngaa; Sunil Kumar Saini; Sofie Ramskov; Marco Donia; Lina Such; Andrew J S Furness; Nicholas McGranahan; Rachel Rosenthal; Per Thor Straten; Zoltan Szallasi; Inge Marie Svane; Charles Swanton; Sergio A Quezada; Søren Nyboe Jakobsen; Aron Charles Eklund; Sine Reker Hadrup
Journal:  Nat Biotechnol       Date:  2016-08-29       Impact factor: 54.908

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