Literature DB >> 14976361

Flow cytometric analysis of kinase signaling cascades.

Omar D Perez1, Peter O Krutzik, Garry P Nolan.   

Abstract

Flow cytometry offers the capability to assess the heterogeneity of cellular subsets that exist in complex populations, such as peripheral blood, based on immunophenotypes. We describe methodologies to measure phospho-epitopes in single cells as determinants of intracellular kinase activity. Multiparametric staining, using both surface and intracellular stains, allows for the study of discrete biochemical events in readily discernible lymphocyte subsets. As such, the usage of multiparameter flow cytometry to obtain proteomic information provides several major advantages: (1) the ability to perform multiparametric experiments to identify distinct signaling profiles in defined lymphocyte populations, (2) simultaneous correlation of multiple active kinases involved in signaling cascades, (3) profiling of active kinase states to identify signaling signatures of interest rapidly, and (4) biochemical access to rare cell subsets such as those from clinically derived samples or populations that comprise too few in numbers for conventional biochemical analysis.

Mesh:

Substances:

Year:  2004        PMID: 14976361     DOI: 10.1385/1-59259-773-4:067

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  27 in total

1.  Learning signaling network structures with sparsely distributed data.

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Review 2.  Imaging flow cytometry: coping with heterogeneity in biological systems.

Authors:  Natasha S Barteneva; Elizaveta Fasler-Kan; Ivan A Vorobjev
Journal:  J Histochem Cytochem       Date:  2012-06-27       Impact factor: 2.479

3.  Genomic and proteomic analysis reveals a threshold level of MYC required for tumor maintenance.

Authors:  Catherine M Shachaf; Andrew J Gentles; Sailaja Elchuri; Debashis Sahoo; Yoav Soen; Orr Sharpe; Omar D Perez; Maria Chang; Dennis Mitchel; William H Robinson; David Dill; Garry P Nolan; Sylvia K Plevritis; Dean W Felsher
Journal:  Cancer Res       Date:  2008-07-01       Impact factor: 12.701

4.  Detection of true IgE-expressing mouse B lineage cells.

Authors:  Michael P Gallagher; Akritee Shrestha; Jennifer M Magee; Duane R Wesemann
Journal:  J Vis Exp       Date:  2014-12-01       Impact factor: 1.355

5.  Bootstrapping least-squares estimates in biochemical reaction networks.

Authors:  Daniel F Linder; Grzegorz A Rempała
Journal:  J Biol Dyn       Date:  2015       Impact factor: 2.179

6.  Reverse engineering gene networks using global-local shrinkage rules.

Authors:  Viral Panchal; Daniel F Linder
Journal:  Interface Focus       Date:  2019-12-13       Impact factor: 3.906

7.  Simultaneous assessment of NF-κB/p65 phosphorylation and nuclear localization using imaging flow cytometry.

Authors:  Orla Maguire; Kieran O'Loughlin; Hans Minderman
Journal:  J Immunol Methods       Date:  2015-04-07       Impact factor: 2.303

8.  HIV-induced changes in T cell signaling pathways.

Authors:  Marc Schweneker; David Favre; Jeffrey N Martin; Steven G Deeks; Joseph M McCune
Journal:  J Immunol       Date:  2008-05-15       Impact factor: 5.422

9.  CCR5 expression levels influence NFAT translocation, IL-2 production, and subsequent signaling events during T lymphocyte activation.

Authors:  Jose F Camargo; Marlon P Quinones; Srinivas Mummidi; Sowmya Srinivas; Alvaro A Gaitan; Kazi Begum; Fabio Jimenez; Scott VanCompernolle; Derya Unutmaz; Seema S Ahuja; Sunil K Ahuja
Journal:  J Immunol       Date:  2009-01-01       Impact factor: 5.422

10.  Multiparameter phospho-flow analysis of lymphocytes in early rheumatoid arthritis: implications for diagnosis and monitoring drug therapy.

Authors:  Carole L Galligan; Janet C Siebert; Katherine A Siminovitch; Edward C Keystone; Vivian Bykerk; Omar D Perez; Eleanor N Fish
Journal:  PLoS One       Date:  2009-08-20       Impact factor: 3.240

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