Applications of multiparametric flow cytometry: Providing new insights into biology to bridge the gap between research discovery and clinical application

Cytometry Part A

Volumn 81 A, Issue 9, 2012, Pages 732-733

  Cesano, Alessandra ^a   Parkinson, David ^a  

^a Nodality Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LYMPHOCYTE ANTIGEN RECEPTOR; PROTEIN KINASE LCK; TYROSINE;

CD4+ T LYMPHOCYTE; EDITORIAL; HUMAN; IMMUNOLOGY; METABOLISM; PROTEIN PROCESSING;

CD4-POSITIVE T-LYMPHOCYTES; HUMANS; LYMPHOCYTE SPECIFIC PROTEIN TYROSINE KINASE P56(LCK); PROTEIN PROCESSING, POST-TRANSLATIONAL; RECEPTORS, ANTIGEN, T-CELL; TYROSINE;

EID: 84865439373     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.22087     Document Type: Editorial

References (12)

1. Irish JM, Hovland R, Krutzik PO, Perez OD, Bruserud O, Gjertsen BT, Nolan GP. Single cell profiling of potentiated phospho-protein networks in cancer cells. Cell 2004; 118: 217-228.
2. Hale MB, Nolan GP. Phospho-specific flow cytometry: Intersection of immunology and biochemistry at the single-cell level. Curr Opin Mol Ther 2006; 8: 215-224.
3. Hanschen M, Tajima G, O'Leary F, Hoang K, Ikeda K, Lederer JA. Phospho-flow cytometry based analysis of differences in T cell receptor signaling between regulatory T cells and CD4+ T cells. J Immunol Methods 2012; 376: 1-12.
4. Covey TM, Cesano A. Modulated multiparametric phosphoflow cytometry in hematological malignancies: Technology and clinical applications. Best Pract Res Clin Haematol 2010; 23: 319-331.
5. Kalisky T, Blainey P, Quake SR. Genomic analysis at the single-cell level. Annu Rev Genet 2011; 45: 431-445.
6. Kornblau SM, Minden MD, Rosen DB, Putta S, Cohen A, Covey T, Spellmeyer DC, Fantl WJ, Gayko U, Cesano A. Dynamic single-cell network profiles in acute myelogenous leukemia are associated with patient response to standard induction therapy. Clin Cancer Res 2010; 16: 3721-3733.
7. Longo DM, Louie B, Putta S, Evensen E, Ptacek J, Cordeiro J, Wang E, Pos Z, Hawtin RE, Marincola FM and others. Single-cell network profiling of peripheral blood mononuclear cells from healthy donors reveals age- and race-associated differences in immune signaling pathway activation. J Immunol 2012; 188: 1717-1725.
8. Cesano A, Rosen DB, O'Meara P, Putta S, Gayko U, Spellmeyer DC, Cripe LD, Sun Z, Uno H, Litzow MR and others. Functional pathway analysis in acute myeloid leukemia using single cell network profiling assay: Effect of specimen source (bone marrow or peripheral blood) on assay readouts. Cytometry B Clin Cytom 2012; 82B: 158-172.
9. Kornblau S, Covey T, Putta S, Cohen A, Woronicz J, Fantl W, Gayko U, Cesano A. Signaling changes in the stem cell factor-AKT-S6 pathway in diagnostic AML samples are associated with disease relapse. Blood Cancer J 2011; 1:e3.
10. Chow S, Hedley D, Shankey TV. Whole blood processing for measurement of signaling proteins by flow cytometry. Curr Protoc Cytom 2008;Chapter 9:Unit 9 27.
11. Covey TM, Putta S, Cesano A. Single cell network profiling (SCNP): Mapping drug and target interactions. Assay Drug Dev Technol 2010; 8: 321-343.
12. Nolan GP. Flow cytometry in the post fluorescence era. Best Pract Res Clin Haematol 2011; 24: 505-508.