Literature DB >> 16628206

Fluorescent cell barcoding in flow cytometry allows high-throughput drug screening and signaling profiling.

Peter O Krutzik1, Garry P Nolan.   

Abstract

Flow cytometry allows high-content, multiparameter analysis of single cells, making it a promising tool for drug discovery and profiling of intracellular signaling. To add high-throughput capacity to flow cytometry, we developed a cell-based multiplexing technique called fluorescent cell barcoding (FCB). In FCB, each sample is labeled with a different signature, or barcode, of fluorescence intensity and emission wavelengths, and mixed with other samples before antibody staining and analysis by flow cytometry. Using three FCB fluorophores, we were able to barcode and combine entire 96-well plates, reducing antibody consumption 100-fold and acquisition time to 5-15 min per plate. Using FCB and phospho-specific flow cytometry, we screened a small-molecule library for inhibitors of T cell-receptor and cytokine signaling, simultaneously determining compound efficacy and selectivity. We also analyzed IFN-gamma signaling in multiple cell types from primary mouse splenocytes, revealing differences in sensitivity and kinetics between B cells, CD4+ and CD4- T cells and CD11b-hi cells.

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Year:  2006        PMID: 16628206     DOI: 10.1038/nmeth872

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  195 in total

1.  Catalytic activity in individual cracking catalyst particles imaged throughout different life stages by selective staining.

Authors:  Inge L C Buurmans; Javier Ruiz-Martínez; William V Knowles; David van der Beek; Jaap A Bergwerff; Eelco T C Vogt; Bert M Weckhuysen
Journal:  Nat Chem       Date:  2011-09-18       Impact factor: 24.427

2.  Identification of a small molecule yeast TORC1 inhibitor with a multiplex screen based on flow cytometry.

Authors:  Jun Chen; Susan M Young; Chris Allen; Andrew Seeber; Marie-Pierre Péli-Gulli; Nicolas Panchaud; Anna Waller; Oleg Ursu; Tuanli Yao; Jennifer E Golden; J Jacob Strouse; Mark B Carter; Huining Kang; Cristian G Bologa; Terry D Foutz; Bruce S Edwards; Blake R Peterson; Jeffrey Aubé; Margaret Werner-Washburne; Robbie J Loewith; Claudio De Virgilio; Larry A Sklar
Journal:  ACS Chem Biol       Date:  2012-02-01       Impact factor: 5.100

3.  Dynamic single-cell network profiles in acute myelogenous leukemia are associated with patient response to standard induction therapy.

Authors:  Steven M Kornblau; Mark D Minden; David B Rosen; Santosh Putta; Aileen Cohen; Todd Covey; David C Spellmeyer; Wendy J Fantl; Urte Gayko; Alessandra Cesano
Journal:  Clin Cancer Res       Date:  2010-06-04       Impact factor: 12.531

Review 4.  Cell-based screening using high-throughput flow cytometry.

Authors:  Christopher B Black; Thomas D Duensing; Linda S Trinkle; R Terry Dunlay
Journal:  Assay Drug Dev Technol       Date:  2010-11-04       Impact factor: 1.738

Review 5.  Systems biology in immunology: a computational modeling perspective.

Authors:  Ronald N Germain; Martin Meier-Schellersheim; Aleksandra Nita-Lazar; Iain D C Fraser
Journal:  Annu Rev Immunol       Date:  2011       Impact factor: 28.527

Review 6.  Fluorescent cell barcoding for multiplex flow cytometry.

Authors:  Peter O Krutzik; Matthew R Clutter; Angelica Trejo; Garry P Nolan
Journal:  Curr Protoc Cytom       Date:  2011-01

7.  A Simple, Versatile Antibody-Based Barcoding Method for Flow Cytometry.

Authors:  Billur Akkaya; Pietro Miozzo; Amanda H Holstein; Ethan M Shevach; Susan K Pierce; Munir Akkaya
Journal:  J Immunol       Date:  2016-07-20       Impact factor: 5.422

Review 8.  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

9.  Engineered IL-10 variants elicit potent immunomodulatory effects at low ligand doses.

Authors:  Claire Gorby; Junel Sotolongo Bellón; Stephan Wilmes; Walid Warda; Elizabeth Pohler; Paul K Fyfe; Adeline Cozzani; Christophe Ferrand; Mark R Walter; Suman Mitra; Jacob Piehler; Ignacio Moraga
Journal:  Sci Signal       Date:  2020-09-15       Impact factor: 8.192

10.  Visible and near infrared fluorescence spectral flow cytometry.

Authors:  John P Nolan; Danilo Condello; Erika Duggan; Mark Naivar; David Novo
Journal:  Cytometry A       Date:  2012-12-06       Impact factor: 4.355

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