Dataset Information

Simultaneous measurement of human hematopoietic stem and progenitor cells in blood using multicolor flow cytometry.

ABSTRACT: Hematopoietic stem cells are the source of all inflammatory cell types. Discovery of specific cell surface markers unique to human hematopoietic stem (HSC) and progenitor (HSPC) cell populations has facilitated studies of their development from stem cells to mature cells. The specific marker profiles of HSCs and HSPCs can be used to understand their role in human inflammatory diseases. The goal of this study is to simultaneously measure HSCs and HSPCs in normal human venous blood using multicolor flow cytometry. Our secondary aim is to determine how G-CSF mobilization alters the quantity of each HSC and HSPC population. Here we show that cells within the CD34+ fraction of human venous blood contains cells with the same cell surface markers found in human bone marrow samples. Mobilization with G-CSF significantly increases the quantity of total CD34+ cells, blood borne HSCs, multipotent progenitors, common myeloid progenitors, and megakaryocyte erythroid progenitors as a percentage of total MNCs analyzed. The increase in blood borne common lymphoid and granulocyte macrophage progenitors with G-CSF treatment did not reach significance. G-CSF treatment predominantly increased the numbers of HSCs and multipotent progenitors in the total CD34+ cell population; common myeloid progenitors and megakaryocyte erythroid progenitors were enriched relative to total MNCs analyzed, but not relative to total CD34+ cells. Our findings illustrate the utility of multicolor flow cytometry to quantify circulating HSCs and HSPCs in venous blood samples from human subjects. © 2016 International Clinical Cytometry Society.

SUBMITTER: Cimato TR

PROVIDER: S-EPMC4967558 | biostudies-other | 2016 Sep

REPOSITORIES: biostudies-other

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Simultaneous measurement of human hematopoietic stem and progenitor cells in blood using multicolor flow cytometry.

Cimato Thomas R TR Furlage Rosemary L RL Conway Alexis A Wallace Paul K PK

Cytometry. Part B, Clinical cytometry 20160217 5

Hematopoietic stem cells are the source of all inflammatory cell types. Discovery of specific cell surface markers unique to human hematopoietic stem (HSC) and progenitor (HSPC) cell populations has facilitated studies of their development from stem cells to mature cells. The specific marker profiles of HSCs and HSPCs can be used to understand their role in human inflammatory diseases. The goal of this study is to simultaneously measure HSCs and HSPCs in normal human venous blood using multicolo ...[more]

PMID: 26663713

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Project description:Adaptive immune responses are complex dynamic processes whereby B and T cells undergo division and differentiation triggered by pathogenic stimuli. Deregulation of the response can lead to severe consequences for the host organism ranging from immune deficiencies to autoimmunity. Tracking cell division and differentiation by flow cytometry using fluorescent probes is a major method for measuring progression of lymphocyte responses, both in vitro and in vivo. In turn, mathematical modeling of cell numbers derived from such measurements has led to significant biological discoveries, and plays an increasingly important role in lymphocyte research. Fitting an appropriate parameterized model to such data is the goal of these studies but significant challenges are presented by the variability in measurements. This variation results from the sum of experimental noise and intrinsic probabilistic differences in cells and is difficult to characterize analytically. Current model fitting methods adopt different simplifying assumptions to describe the distribution of such measurements and these assumptions have not been tested directly. To help inform the choice and application of appropriate methods of model fitting to such data we studied the errors associated with flow cytometry measurements from a wide variety of experiments. We found that the mean and variance of the noise were related by a power law with an exponent between 1.3 and 1.8 for different datasets. This violated the assumptions inherent to commonly used least squares, linear variance scaling and log-transformation based methods. As a result of these findings we propose a new measurement model that we justify both theoretically, from the maximum entropy standpoint, and empirically using collected data. Our evaluation suggests that the new model can be reliably used for model fitting across a variety of conditions. Our work provides a foundation for modeling measurements in flow cytometry experiments thus facilitating progress in quantitative studies of lymphocyte responses.

Dataset Information

Simultaneous measurement of human hematopoietic stem and progenitor cells in blood using multicolor flow cytometry.

Publications

Simultaneous measurement of human hematopoietic stem and progenitor cells in blood using multicolor flow cytometry.

Similar Datasets

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