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JAK2-V617F-mutated myeloproliferative neoplasms reveal different allele burden within hematopoietic cell lineages: a microdissection study of bone marrow trephine biopsies

Overview of attention for article published in Virchows Archiv, October 2011
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Title
JAK2-V617F-mutated myeloproliferative neoplasms reveal different allele burden within hematopoietic cell lineages: a microdissection study of bone marrow trephine biopsies
Published in
Virchows Archiv, October 2011
DOI 10.1007/s00428-011-1154-2
Pubmed ID
Authors

Andreas Kreft, Thomas Kindler, Erik Springer, Charles James Kirkpatrick

Abstract

The JAK2-V617F mutation is prevalent in almost all patients with polycythemia vera (PV) and about half of the cases of essential thrombocythaemia (ET) and primary myelofibrosis (PMF). A different allele burden in these entities has long been noticed, but little is known about its distribution among the neoplastic hematopoietic cell lineages within the bone marrow. We conducted a microdissection study of JAK2-V617F-mutated myeloproliferative neoplasms (MPN); 10 cases each of ET, PV, and PMF, with separate analysis of the JAK2 mutation status in three hematopoietic cell lines (i.e., megakaryo-, granulo-, and erythropoiesis). Different numbers of cell lineages harboring the JAK2-V617F mutation were found, being the lowest in ET (17/30), higher in PV (24/30) and in PMF (22/30). The megakaryopoiesis was the most commonly mutated cell lineage (24/30 cases). By analyzing microdissectates we were able to demonstrate a different allele burden of the JAK2-V617F mutation in the megakaryo-, erythro-, and granulopoiesis within the bone marrow of a given case of MPN. We demonstrated differences in the number of mutated cell lineages. The different mutation status may contribute to the different phenotypes of ET, PV, and PMF.

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The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 31%
Student > Ph. D. Student 4 25%
Other 3 19%
Student > Master 1 6%
Student > Bachelor 1 6%
Other 0 0%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 38%
Biochemistry, Genetics and Molecular Biology 5 31%
Medicine and Dentistry 3 19%
Unknown 2 13%