Literature DB >> 9130612

Granulocyte colony-stimulating factor receptor at various differentiation stages of normal and leukemic hematopoietic cells.

K Shinjo1, A Takeshita, K Ohnishi, R Ohno.   

Abstract

Granulocyte colony-stimulating factor (G-CSF) is the most important cytokine in granulopoiesis, and induces the proliferation and differentiation of normal bone marrow granulocytic precursors. The physiologic effect of G-CSF is mediated through binding to specific cell surface receptors for G-CSF. Using a newly-devised quantitative flow-cytometric assay, we analyzed the expression of G-CSF receptors on normal and leukemic hematopoietic cells. In normal donors, G-CSF receptors are widely expressed from CD34-positive immature bone marrow cells to mature peripheral granulocytes. The highest expression of G-CSF receptors is observed in peripheral granulocytes. In the bone marrow, the level of G-CSF receptors expression increases in the following order; CD34+ CD33- cells < CD34+ CD33+ cells < CD34- CD33+ cells, indicating that G-CSF receptors are expressed on myeloid cells from a very early stage of differentiation and that the level of expression increases with the progress of cell maturation. G-CSF receptors are also detected on blast cells of patients with acute myeloid leukemia (AML) and acute lymphoid leukemia (ALL). The number of cell surface receptors varies from patient to patient, and no clear correlation is observed between the expression of receptors and the leukemia subtype or the cell surface markers. In this respect, the clinical use of G-CSF should be carefully controlled in ALL as well as AML patients.

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Year:  1997        PMID: 9130612     DOI: 10.3109/10428199709042494

Source DB:  PubMed          Journal:  Leuk Lymphoma        ISSN: 1026-8022


  11 in total

1.  Activation of MDL-1 (CLEC5A) on immature myeloid cells triggers lethal shock in mice.

Authors:  Ricky Cheung; Fran Shen; Joseph H Phillips; Mandy J McGeachy; Daniel J Cua; Paul G Heyworth; Robert H Pierce
Journal:  J Clin Invest       Date:  2011-10-17       Impact factor: 14.808

2.  Effect of granulocyte colony-stimulating factor on chemotherapeutic activity of cytosine arabinoside in acute leukemic cell lines.

Authors:  K E Cha; S Y Yoon; K N Lee
Journal:  Int J Hematol       Date:  2001-02       Impact factor: 2.490

3.  A structured population model of clonal selection in acute leukemias with multiple maturation stages.

Authors:  Tommaso Lorenzi; Anna Marciniak-Czochra; Thomas Stiehl
Journal:  J Math Biol       Date:  2019-07-26       Impact factor: 2.259

4.  Transcription factor C/EBPα-induced microRNA-30c inactivates Notch1 during granulopoiesis and is downregulated in acute myeloid leukemia.

Authors:  Christiane Katzerke; Vikas Madan; Dennis Gerloff; Daniela Bräuer-Hartmann; Jens-Uwe Hartmann; Alexander Arthur Wurm; Carsten Müller-Tidow; Susanne Schnittger; Daniel G Tenen; Dietger Niederwieser; Gerhard Behre
Journal:  Blood       Date:  2013-08-23       Impact factor: 22.113

Review 5.  The role of CD40/CD40 ligand interactions in bone marrow granulopoiesis.

Authors:  Irene Mavroudi; Helen A Papadaki
Journal:  ScientificWorldJournal       Date:  2011-10-26

6.  Emergence of heterogeneity in acute leukemias.

Authors:  Thomas Stiehl; Christoph Lutz; Anna Marciniak-Czochra
Journal:  Biol Direct       Date:  2016-10-12       Impact factor: 4.540

7.  Mathematical modeling of the impact of cytokine response of acute myeloid leukemia cells on patient prognosis.

Authors:  Thomas Stiehl; Anthony D Ho; Anna Marciniak-Czochra
Journal:  Sci Rep       Date:  2018-02-12       Impact factor: 4.379

8.  In-silico comparison of two induction regimens (7 + 3 vs 7 + 3 plus additional bone marrow evaluation) in acute myeloid leukemia treatment.

Authors:  Jan Christoph Banck; Dennis Görlich
Journal:  BMC Syst Biol       Date:  2019-01-31

9.  Mass concentration in a nonlocal model of clonal selection.

Authors:  J-E Busse; P Gwiazda; A Marciniak-Czochra
Journal:  J Math Biol       Date:  2016-03-03       Impact factor: 2.259

10.  Clonal selection and therapy resistance in acute leukaemias: mathematical modelling explains different proliferation patterns at diagnosis and relapse.

Authors:  Thomas Stiehl; Natalia Baran; Anthony D Ho; Anna Marciniak-Czochra
Journal:  J R Soc Interface       Date:  2014-03-12       Impact factor: 4.118

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