2003
DOI: 10.1098/rspb.2002.2316
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Estimating average cellular turnover from 5–bromo–2'–deoxyuridine (BrdU) measurements

Abstract: Cellular turnover rates in the immune system can be determined by labelling dividing cells with 5-bromo-29-deoxyuridine (BrdU) or deuterated glucose ( 2 H-glucose). To estimate the turnover rate from such measurements one has to fit a particular mathematical model to the data. The biological assumptions underlying various models developed for this purpose are controversial. Here, we fit a series of different models to BrdU data on CD4 1 T cells from SIV 2 and SIV 1 rhesus macaques. We first show that the param… Show more

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Cited by 37 publications
(82 citation statements)
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“…Division and death are normally quantified by following the accumulation and loss of cells labeled in vivo with BrdU or deuterium from heavy water or deuterated glucose, taken up by dividing cells during administration of label and diluted following its withdrawal (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20). These experiments are typically performed over days to weeks and collectively have revealed that cell populations initially assumed to be homogenous may in fact comprise multiple subpopulations dividing and dying at different rates (kinetic heterogeneity) and/or that cells that are quiescent or have recently divided may have different susceptibilities to death (temporal heterogeneity).…”
mentioning
confidence: 99%
“…Division and death are normally quantified by following the accumulation and loss of cells labeled in vivo with BrdU or deuterium from heavy water or deuterated glucose, taken up by dividing cells during administration of label and diluted following its withdrawal (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20). These experiments are typically performed over days to weeks and collectively have revealed that cell populations initially assumed to be homogenous may in fact comprise multiple subpopulations dividing and dying at different rates (kinetic heterogeneity) and/or that cells that are quiescent or have recently divided may have different susceptibilities to death (temporal heterogeneity).…”
mentioning
confidence: 99%
“…Representative fits of our novel model to the data on BrdU labelling of CD3 þ CD45RA 2 CD4 þ and CD4 2 memory T cells in one monkey from each group are depicted in figure 3. The new model describes these data at least as well as previous models did [13,26,27]. Thanks to the kinetic heterogeneity, the model readily accounts for the biphasic down-slopes in the monkey H1284 with a high viral load.…”
Section: Kinetic Heterogeneitymentioning
confidence: 63%
“…Thus, if the first division is sufficient to breach the detection limit, the up-slope equation (2.4) is identical to that of equation (1.1) in §1 (which is an expected result). The de-labelling phase starts at T ¼ 10 days and we see that the down-slope depends on the detection limit, and hence does not reflect p, d, or p 2 d, as was derived in previous models [13,[25][26][27]. Importantly, the new model allows for a decline in the fraction of BrdU þ cells in self-renewing populations, in the absence of additional assumptions such as a source of unlabelled cells [13,[25][26][27] or a faster death rate of recently divided cells [28,29].…”
Section: Homogeneous Populationmentioning
confidence: 81%
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