Absolute density of different sources of hematopoietic progenitor cells: Bone marrow, peripheral blood stem cell and umbilical cord blood

Araújo, Anelise Bergmann; Angeli, Melissa Helena; Salton, Gabrielle Dias; Furlan, Juliana Monteiro; Schmalfuss, Tissiana; Röhsig, Liane Marise

doi:10.1016/j.jcyt.2016.10.002

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…In this paper, we present a new method for the measurement of cell compressibility based on statistical modeling and data analysis of free-flow acoustophoretic separation Table 5 List of the values for the device effectivity , assumed density and estimated compressibility of different cell populations Ranges for the reference values are estimated from Araujo et al (2017); Keever-Taylor et al (2014); Cushing et al (2017) experiments. The experimental data are obtained by measuring the cell/microbead counts at the outlet sections of an acoustophoresis separation while sequentially increasing the acoustic energy density.…”

Section: Discussionmentioning

confidence: 99%

Statistic estimation of cell compressibility based on acoustophoretic separation data

Garofalo

Lenshof

Urbansky

et al. 2020

Microfluid Nanofluid

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We present a new experimental method that measures the compressibility of phenotype-specific cell populations. This is done by performing statistical analysis of the cell counts from the outlets of an acoustophoresis chip as a function of the increasing actuator voltage (i.e. acoustic energy density) during acoustophoretic separation. The theoretical separation performance curve, henceforth, Side-Stream Recovery ( SSR ), vs the piezo-actuator voltage (V) is derived by moment analysis of a onedimensional model of acoustophoresis separation, accounting for distributions of the cell or microparticle properties and the system parameters (hydrodynamics, radiation force, drag enhancement, and acoustic streaming). The acoustophoretic device is calibrated with polymer microbeads of known properties by fitting the experimental SSR with the theoretical SSR , in which the acoustic energy density is considered proportional to the squared voltage, i.e. E ac = V 2 . The fitting parameter for the calibration procedure is the device effectivity, reflecting the efficiency in performing acoustophoretic microparticle displacement. Once calibrated, the compressibility of unknown cells is estimated by fitting experimental SSR cell data points with the theoretical SSR curve. In this procedure, the microparticle compressibility is the fitting parameter. The method is applied to estimate the compressibility of a variety of cell populations showing its utility in terms of rapid analysis and need for minute sample amounts.

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Section: Discussionmentioning

confidence: 99%

Statistic estimation of cell compressibility based on acoustophoretic separation data

Garofalo

Lenshof

Urbansky

et al. 2020

Microfluid Nanofluid

View full text Add to dashboard Cite

show abstract

“…For HSCs, initial studies showed that the concentration of CFUs in murine sternal marrow is about 40% less than in the marrow of lumbar vertebrae and femora [ 50 ]. The comparison cord blood, bone marrow, and peripheral blood have shown significant differences in mean cell density values [ 51 ], as well as gene and miRNA expression profiles [ 52 , 53 ], suggesting diversity in biological processes such as cell cycle regulation and cell motility.…”

Section: Discussionmentioning

confidence: 99%

Combined Analysis of Endothelial, Hematopoietic, and Mesenchymal Stem Cell Compartments Shows Simultaneous but Independent Effects of Age and Heart Disease

Ghem

Dias

Sant’Anna

et al. 2017

Stem Cells International

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Clinical trials using stem cell therapy for heart diseases have not reproduced the initial positive results obtained with animal models. This might be explained by a decreased regenerative capacity of stem cells collected from the patients. This work aimed at the simultaneous investigation of endothelial stem/progenitor cells (EPCs), mesenchymal stem/progenitor cells (MSCs), and hematopoietic stem/progenitor cells (HSCs) in sternal bone marrow samples of patients with ischemic or valvular heart disease, using flow cytometry and colony assays. The study included 36 patients referred for coronary artery bypass grafting or valve replacement surgery. A decreased frequency of stem cells was observed in both groups of patients. Left ventricular dysfunction, diabetes, and intermediate risk in EuroSCORE and SYNTAX score were associated with lower EPCs frequency, and the use of aspirin and β-blockers correlated with a higher frequency of HSCs and EPCs, respectively. Most importantly, the distribution of frequencies in the three stem cell compartments showed independent patterns. The combined investigation of the three stem cell compartments in patients with cardiovascular diseases showed that they are independently affected by the disease, suggesting the investigation of prognostic factors that may be used to determine when autologous stem cells may be used in cell therapy.

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Volume determination methods for hematopoietic progenitor cell products collected by apheresis

et al. 2021

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Absolute density of different sources of hematopoietic progenitor cells: Bone marrow, peripheral blood stem cell and umbilical cord blood

Cited by 3 publications

References 3 publications

Statistic estimation of cell compressibility based on acoustophoretic separation data

Statistic estimation of cell compressibility based on acoustophoretic separation data

Combined Analysis of Endothelial, Hematopoietic, and Mesenchymal Stem Cell Compartments Shows Simultaneous but Independent Effects of Age and Heart Disease

Volume determination methods for hematopoietic progenitor cell products collected by apheresis

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