Quantifying lymphocyte kinetics
            <i>in vivo</i>
            using carboxyfluorescein diacetate succinimidyl ester

Asquith, Becca; Debacq, Christophe; Florins, Arnaud-Francois; Gillet, Nicolas; Sanchez-Alcaraz, Teresa; Mosley, Adam; Willems, Luc

doi:10.1098/rspb.2005.3432

Cited by 61 publications

(64 citation statements)

References 23 publications

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“…The more cells proliferate, the greater the decrease in the fluorescent signal. The fluorescence peaks can be measured by flow cytometry [66]. CFSE labelling is increasingly used to measure target tumour cell killing [67], superseding radiation based assays, as well as T cell proliferation in response to tumour cells in vivo [68].…”

Section: Carboxyfluorescein Diacetate Succinimidyl Ester (Cfse)mentioning

confidence: 99%

“…CFSE labelling is increasingly used to measure target tumour cell killing [67], superseding radiation based assays, as well as T cell proliferation in response to tumour cells in vivo [68]. CFSE labelling can also be performed in vivo where the dye is injected into the host animal's spleen or lymph nodes, however the labelling is not uniform and it is sometimes difficult to obtain individual peaks once lymphocyte cell division has occurred [66].…”

Section: Carboxyfluorescein Diacetate Succinimidyl Ester (Cfse)mentioning

confidence: 99%

See 1 more Smart Citation

Identification and Validation of Targets for Cancer Immunotherapy: From the Bench-to-Bedside

Khan¹,

Brooks²,

Denniss³

et al. 2013

Novel Gene Therapy Approaches

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Section: Carboxyfluorescein Diacetate Succinimidyl Ester (Cfse)mentioning

confidence: 99%

Section: Carboxyfluorescein Diacetate Succinimidyl Ester (Cfse)mentioning

confidence: 99%

Identification and Validation of Targets for Cancer Immunotherapy: From the Bench-to-Bedside

Khan¹,

Brooks²,

Denniss³

et al. 2013

Novel Gene Therapy Approaches

View full text Add to dashboard Cite

“…Models lacking this feature may be able to accurately describe the mean number of divisions undergone, particularly for cells which divide slowly [35,36,42], but do not appropriately account for the distribution of cells among generations and thus do not typically estimate mean time to first division with accuracy [36,42,69]. Still, it should be emphasized that ODE models have been used successfully in some situations [2,72,78], particularly when CFSE histogram data is poorly resolved so that generations of cells are hard to distinguish [2]. A more detailed treatment of the assumptions, uses, and limitations of ODE models can be found in [33].…”

Section: Random Birth-death Modelsmentioning

confidence: 99%

Mathematical Models of Dividing Cell Populations: Application to CFSE Data

Banks

Thompson

2012

Math. Model. Nat. Phenom.

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Abstract. Flow cytometric analysis using intracellular dyes such as CFSE is a powerful experimental tool which can be used in conjunction with mathematical modeling to quantify the dynamic behavior of a population of lymphocytes. In this survey we begin by providing an overview of the mathematically relevant aspects of the data collection procedure. We then present an overview of the large body of mathematical models, along with their assumptions and uses, which have been proposed to describe the dynamics of proliferating cell populations. While much of this body of work has been aimed at modeling the generation structure (cells per generation) of the proliferating population, several recent models have considered the more fundamental task of modeling CFSE histogram data directly. Such models are analyzed and recent results are discussed. Finally, directions for future research are suggested.

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“…The CFSE time-series data were reanalyzed using a simpler fixed-rate parameter model similar to those used previously for studying lymphocyte proliferation (28,29) or cell lines (30) and the goodness of fit was compared with that of Table S3 for the simpler fixed-rate model (and Supporting Information Table S2 for the generation-dependent model). The Adjusted R 2 (31) values for the generation-dependent model used in the previous sections compared with the simpler fixed-rate model were 0.97 versus 0.45 for EPO, 0.92 versus 0.48 for SCF and 0.96 versus 0.65 for SCF 1 EPO.…”

Section: In Vitro Erythropoiesis Is Characterized By Generationspecifmentioning

confidence: 99%

Measurement of generation‐dependent proliferation rates and death rates during mouse erythroid progenitor cell differentiation

Akbarian¹,

Wang²,

Audet³

2012

Cytometry Pt A

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Herein, we describe an experimental and computational approach to perform quantitative carboxyfluorescein diacetate succinimidyl ester (CFSE) cell-division tracking in cultures of primary colony-forming unit-erythroid (CFU-E) cells, a hematopoietic progenitor cell type, which is an important target for the treatment of blood disorders and for the manufacture of red blood cells. CFSE labeling of CFU-Es isolated from mouse fetal livers was performed to examine the effects of stem cell factor (SCF) and erythropoietin (EPO) in culture. We used a dynamic model of proliferation based on the Smith-Martin representation of the cell cycle to extract proliferation rates and death rates from CFSE time-series. However, we found that to accurately represent the cell population dynamics in differentiation cultures of CFU-Es, it was necessary to develop a model with generation-specific rate parameters. The generation-specific rates of proliferation and death were extracted for six generations (G 0 -G 5 ) and they revealed that, although SCF alone or EPO alone supported similar total cell outputs in culture, stimulation with EPO resulted in significantly higher proliferation rates from G 2 to G 5 and higher death rates in G 2 , G 3 , and G 5 compared with SCF. In addition, proliferation rates tended to increase from G 1 to G 5 in cultures supplemented with EPO and EPO 1 SCF, while they remained lower and more constant across generations with SCF. The results are consistent with the notion that SCF promotes CFU-E self-renewal while EPO promotes CFU-E differentiation in culture. ' 2012 International Society for Advancement of Cytometry Key terms red blood cells; carboxyfluorescein diacetate succinimidyl ester; cell differentiation; cell division; erythropoiesis; cell division; CFSE CARBOXYFLUORESCEIN diacetate succinimidyl ester (CFSE) cell-division tracking is widely used to determine the number of divisions cells have undergone in cultures or in vivo. This flow cytometric assay is based on the redistribution and dilution of the CFSE fluorescent dye between mother and daughter cells during cell division, resulting in distinct fluorescence intensity for each cell generation (1-3). Originally developed for homogenous lymphocyte populations (1), Nordon et al. (4) extended this approach to track the divisions of primary hematopoietic progenitor cell populations that are composed of multiple cell subsets (5-7). Qualitative examination of flow cytometric histograms of CFSE fluorescence is useful but does not allow a complete interpretation of time-series experiments. However, quantitative CFSE celldivision tracking consists of using computational tools and a working model of the dynamics of cell division to extract parameters that characterize the rates of cell activation, proliferation, and death from CFSE labeling experiments (8-13).The ''transition probability'' model of the cell cycle developed by Smith and Martin (14) has been useful to develop mathematical models to extract proliferation rates from CFSE data (8-10,13,15,...

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Quantifying lymphocyte kinetics in vivo using carboxyfluorescein diacetate succinimidyl ester

Cited by 61 publications

References 23 publications

Identification and Validation of Targets for Cancer Immunotherapy: From the Bench-to-Bedside

Identification and Validation of Targets for Cancer Immunotherapy: From the Bench-to-Bedside

Mathematical Models of Dividing Cell Populations: Application to CFSE Data

Measurement of generation‐dependent proliferation rates and death rates during mouse erythroid progenitor cell differentiation

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