Literature DB >> 18432997

Single-cell phospho-protein analysis by flow cytometry.

Kenneth R Schulz1, Erika A Danna, Peter O Krutzik, Garry P Nolan.   

Abstract

This protocol describes methods for monitoring intracellular phosphorylation-dependent signaling events on a single-cell basis. This approach measures cell signaling by treating cells with exogenous stimuli, fixing cells with formaldehyde, permeabilizing with methanol, and then staining with phospho-specific antibodies. Thus, cell signaling states can be determined as a measure of how cells interact with their environment. This method has applications in clinical research as well as mechanistic studies of basic biology. In clinical research, diagnostic or drug efficacy information can be retrieved by discovering how a disease affects the ability of cells to respond to growth factors. Basic scientists can use this technique to analyze signaling events in cell lines and human or murine primary cells, including rare populations, like B1 cells or stem cells. This technique has broad applications to take standard biochemical analysis into primary cells to garner valuable information about signaling events in physiologic settings. (c) 2007 by John Wiley & Sons, Inc.

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Year:  2007        PMID: 18432997     DOI: 10.1002/0471142735.im0817s78

Source DB:  PubMed          Journal:  Curr Protoc Immunol        ISSN: 1934-3671


  26 in total

1.  Differential mTOR and ERK pathway utilization by effector CD4 T cells suggests combinatorial drug therapy of arthritis.

Authors:  Jack T Lin; Emily A Stein; Michael T Wong; Krishna J Kalpathy; Leon L Su; Paul J Utz; William H Robinson; C Garrison Fathman
Journal:  Clin Immunol       Date:  2011-10-01       Impact factor: 3.969

Review 2.  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

3.  Enterobacter sakazakii targets DC-SIGN to induce immunosuppressive responses in dendritic cells by modulating MAPKs.

Authors:  Rahul Mittal; Silvia Bulgheresi; Claudia Emami; Nemani V Prasadarao
Journal:  J Immunol       Date:  2009-10-21       Impact factor: 5.422

4.  Genetic barcoding with fluorescent proteins for multiplexed applications.

Authors:  Cameron A Smurthwaite; Wesley Williams; Alexandra Fetsko; Darin Abbadessa; Zachary D Stolp; Connor W Reed; Andre Dharmawan; Roland Wolkowicz
Journal:  J Vis Exp       Date:  2015-04-14       Impact factor: 1.355

5.  Akt and SHP-1 are DC-intrinsic checkpoints for tumor immunity.

Authors:  Yaron Carmi; Tyler R Prestwood; Matthew H Spitzer; Ian L Linde; Jonathan Chabon; Nathan E Reticker-Flynn; Nupur Bhattacharya; Hong Zhang; Xiangyue Zhang; Pamela A Basto; Bryan M Burt; Michael N Alonso; Edgar G Engleman
Journal:  JCI Insight       Date:  2016-11-03

6.  Image-based feedback control for real-time sorting of microspheres in a microfluidic device.

Authors:  Matthew S Munson; James M Spotts; Antti Niemistö; Jyrki Selinummi; Jason G Kralj; Marc L Salit; Adrian Ozinsky
Journal:  Lab Chip       Date:  2010-06-30       Impact factor: 6.799

7.  Automated System for Small-Population Single-Particle Processing Enabled by Exclusive Liquid Repellency.

Authors:  Chao Li; David J Niles; Duane S Juang; Joshua M Lang; David J Beebe
Journal:  SLAS Technol       Date:  2019-06-10       Impact factor: 3.047

8.  Acute T-cell leukemias remain dependent on Notch signaling despite PTEN and INK4A/ARF loss.

Authors:  Hind Medyouf; Xiuhua Gao; Florence Armstrong; Samuel Gusscott; Qing Liu; Amanda Larson Gedman; Larry H Matherly; Kirk R Schultz; Francoise Pflumio; Mingjian James You; Andrew P Weng
Journal:  Blood       Date:  2009-12-11       Impact factor: 22.113

9.  Effect of the nonpeptide thrombopoietin receptor agonist Eltrombopag on bone marrow cells from patients with acute myeloid leukemia and myelodysplastic syndrome.

Authors:  Britta Will; Masahiro Kawahara; Julia P Luciano; Ingmar Bruns; Samir Parekh; Connie L Erickson-Miller; Manuel A Aivado; Amit Verma; Ulrich Steidl
Journal:  Blood       Date:  2009-08-26       Impact factor: 22.113

10.  Expression variation: its relevance to emergence of chronic disease and to therapy.

Authors:  Anatoly L Mayburd
Journal:  PLoS One       Date:  2009-06-15       Impact factor: 3.240

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