Literature DB >> 7534675

Flow cytometric analysis of cell-surface and intracellular antigens in leukemia diagnosis.

W Knapp1, H Strobl, O Majdic.   

Abstract

New technology allows highly sensitive flow cytometric detection and quantitative analysis of intracellular antigens in normal and malignant hemopoietic cells. With this technology, the earliest stages of myeloid and lymphoid differentiation can easily and reliably be identified using antibodies directed against (pro-)myeloperoxidase/MPO, CD22 and CD3 antigens, respectively. Particularly for the analysis of undifferentiated acute myeloblastic leukemia (AML) cells, the immunological demonstration of intracellular MPO or its enzymatically inactive proforms is highly relevant, since other myeloid marker molecules such as CD33, CD13, or CDw65 are either not restricted to the granulomonocytic lineage or appear later in differentiation. By combining MPO staining with staining for lactoferrin (LF), undifferentiated cells can be distinguished from the granulomonocytic maturation compartment in bone marrow, since LF is selectively expressed from the myelocyte stage of differentiation onward. The list of informative intracellular antigens to be used in leukemia cell analysis will certainly expand in the near future. One candidate, intracellular CD68, has already been tested by us, and results are presented. Also dealt within this article are surface marker molecules not (as yet) widely used in leukemia cell analysis but with the potential to provide important additional information. Among them are the surface structures CD15, CD15s, CDw65, CD79a (MB-1), CD79b (B29), CD87 (uPA-R), and CD117 (c-kit).

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Year:  1994        PMID: 7534675     DOI: 10.1002/cyto.990180402

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  13 in total

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Authors:  Peter L Greenberg; Zhuoxin Sun; Kenneth B Miller; John M Bennett; Martin S Tallman; Gordon Dewald; Elisabeth Paietta; Richard van der Jagt; Jessie Houston; Mary L Thomas; David Cella; Jacob M Rowe
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Review 3.  Molecular characterization of CD34+ human hematopoietic progenitor cells.

Authors:  W Knapp; H Strobl; C Scheinecker; C Bello-Fernandez; O Majdic
Journal:  Ann Hematol       Date:  1995-06       Impact factor: 3.673

4.  Immunophenotyping of Murine Precursor B-Cell Leukemia/Lymphoma: A Comparison of Immunohistochemistry and Flow Cytometry.

Authors:  Laura J Janke; Charles G Mullighan; Jinjun Dang; Jerold E Rehg
Journal:  Vet Pathol       Date:  2019-06-06       Impact factor: 2.221

Review 5.  The Sialoadhesins--a family of sialic acid-dependent cellular recognition molecules within the immunoglobulin superfamily.

Authors:  S Kelm; R Schauer; P R Crocker
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6.  Impaired neutrophils in children with the typical form of hemolytic uremic syndrome.

Authors:  Gabriela C Fernández; Sonia A Gómez; Carolina J Rubel; Leticia V Bentancor; Paula Barrionuevo; Marta Alduncín; Irene Grimoldi; Ramón Exeni; Martín A Isturiz; Marina S Palermo
Journal:  Pediatr Nephrol       Date:  2005-06-07       Impact factor: 3.714

7.  Flowcytometric comparative analysis in acute leukemias between Indian and proposed minimal screening panel.

Authors:  Srishti Gupta; Tathagata Chatterjee; Sanjeevan Sharma; Ajay Sharma; Prosenjit Ganguly; Jasjit Singh; Satyaranjan Das
Journal:  Med J Armed Forces India       Date:  2016-03-29

8.  Endogenous glucocorticoids attenuate Shiga toxin-2-induced toxicity in a mouse model of haemolytic uraemic syndrome.

Authors:  S A Gómez; G C Fernández; S Vanzulli; G Dran; C Rubel; T Berki; M A Isturiz; M S Palermo
Journal:  Clin Exp Immunol       Date:  2003-02       Impact factor: 4.330

9.  C-kit receptor (CD117) expression in acute leukemia.

Authors:  L R Valverde; E Matutes; N Farahat; A Heffernan; K Owusu-Ankomah; R Morilla; D Catovsky
Journal:  Ann Hematol       Date:  1996-01       Impact factor: 3.673

10.  EuroFlow: Resetting leukemia and lymphoma immunophenotyping. Basis for companion diagnostics and personalized medicine.

Authors:  J J M van Dongen; A Orfao
Journal:  Leukemia       Date:  2012-09       Impact factor: 11.528

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