KRONTORÁD KOUTNÁ, Irena, Martina PETERKOVÁ, Pavel ŠIMARA, Stanislav STEJSKAL, Lenka TESAŘOVÁ and Michal KOZUBEK. Proliferation and differentiation potential of CD133+ and CD34+ populations from the bone marrow and mobilized peripheral blood. Annals of hematology. Germany: Springer, 2011, vol. 90, (2), p. 127-137. ISSN 0939-5555.
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Basic information
Original name Proliferation and differentiation potential of CD133+ and CD34+ populations from the bone marrow and mobilized peripheral blood
Name in Czech Proliferační a diferenciační potenciál CD133+ a CD34+ buněčných populací kostní dřeně a periferní mobilizované krve
Authors KRONTORÁD KOUTNÁ, Irena (203 Czech Republic, guarantor, belonging to the institution), Martina PETERKOVÁ (203 Czech Republic, belonging to the institution), Pavel ŠIMARA (203 Czech Republic, belonging to the institution), Stanislav STEJSKAL (203 Czech Republic, belonging to the institution), Lenka TESAŘOVÁ (203 Czech Republic, belonging to the institution) and Michal KOZUBEK (203 Czech Republic, belonging to the institution).
Edition Annals of hematology, Germany, Springer, 2011, 0939-5555.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30200 3.2 Clinical medicine
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 2.615
RIV identification code RIV/00216224:14330/11:00051523
Organization unit Faculty of Informatics
UT WoS 000286053500001
Keywords (in Czech) CD34 ;CD133; HSC; transplantace; VEGFR
Keywords in English CD34; CD133; HSC; transplantation; VEGFR
Tags cbia-web
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Irena Koutná, Ph.D., učo 18705. Changed: 13/4/2011 12:53.
Abstract
CD34 is the most frequently used marker for the selection of cells for bone marrow (BM) transplantation. The use of CD133 as an alternative marker is an open research topic. The goal of this study was to evaluate the proliferation and differentiation potential for hematopoiesis (short and long term) of CD133+ and CD34+ populations from bone marrow and mobilized peripheral blood. Eight cell populations were compared: CD34+ and CD133+ cells from both the BM (CML Ph-, CML Ph+, and healthy volunteers) and mobilized peripheral blood cells. Multicolor flow cytometry and cultivation experiments were used to measure expression and differentiation of the individual populations. It was observed that the CD133+ BM population showed higher cell expansion. Another finding is that during a 6-day cultivation with 5(6)-carboxyfluorescein diacetate N- succinimidyl ester (CFSE), more cells remained in division D0 (non-dividing cells). There was a higher percentage of CD38- cells observed on the CD133+ BM population. It was also observed that the studied populations contained very similar but not the same pools of progenitors: erythroid, lymphoid, and myeloid. This was confirmed by CFU-GM and CFU-E experiments. The VEGFR antigen was used to monitor subpopulations of endothelial sinusoidal progenitors. The CD133+ BM population contained significantly more VEGFR+ cells. Our findings suggest that the CD133+ population from the BM shows better proliferation activity and a higher distribution of primitive progenitors than any other studied population.
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MSM0021622430, plan (intention)Name: Funkční a molekulární charakteristiky nádorových a normálních kmenových buněk - identifikace cílů pro nová terapeutika a terapeutické strategie
Investor: Ministry of Education, Youth and Sports of the CR, Functional and molecular characteristics of cancer and normal stem cells - identification of targets for novel therapeutics and therapeutic strategies
2B06052, research and development projectName: Vytipování markerů, screening a časná diagnostika nádorových onemocnění pomocí vysoce automatizovaného zpracování multidimenzionálních biomedicínských obrazů (Acronym: Biomarker)
Investor: Ministry of Education, Youth and Sports of the CR, Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images
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