Tracer-based estimates of protein flux in cases of incomplete product renewal: evidence and implications of heterogeneity in collagen turnover.
Tracer-based estimates of protein flux in cases of incomplete product renewal: evidence and implications of heterogeneity in collagen turnover.
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在产品更新不完全的情况下基于示踪剂的蛋白质通量估计:胶原蛋白周转异质性的证据和影响。
DOI:
10.1152/ajpendo.00435.2014
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发表时间:
2015
期刊:
影响因子:
--
通讯作者:
Kelley,DavidE
中科院分区:
文献类型:
--
作者:
Zhou,Haihong;Wang,Sheng-Ping;Herath,Kithsiri;Kasumov,Takhar;Sadygov,RovshanG;Previs,StephenF;Kelley,DavidE
The synthesis of various molecules can be estimated by measuring the incorporation of a labeled precursor into a product of interest. Unfortunately, a central problem in many studies has been an inability to estimate the intracellular dilution of the precursor and therein correctly calculate the synthesis of the product; it is generally assumed that measuring the true product labeling is straightforward. We initiated a study to examine liver collagen synthesis and identified an apparent problem with assumptions regarding measurements of the product labeling. Since it is well known that collagen production is relatively slow, we relied on the use of [2H]H2O labeling (analogous to a primed infusion) and sampled animals over the course of 16 days. Although the water labeling (the precursor) remained stable and we observed the incorporation of labeled amino acids into collagen, the asymptotic protein labeling was considerably lower than what would be expected based on the precursor labeling. Although this observation is not necessarily surprising (i.e., one might expect that a substantial fraction of the collagen pool would appear “inert” or turn over at a very slow rate), its implications are of interest in certain areas. Herein, we discuss a novel situation in which tracers are used to quantify rates of flux under conditions where a product may not undergo complete replacement. We demonstrate how heterogeneity in the product pool can lead one to the wrong conclusions regarding estimates of flux, and we outline an approach that may help to minimize errors surrounding data interpretation.
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DOI:
10.1016/j.bbagen.2005.12.023
发表时间:
2006-05-01
影响因子:
3
作者:
Busch, Robert;Kim, Yoo-Kyeong;Hellerstein, Marc K.
通讯作者:
Hellerstein, Marc K.
DOI:
10.1016/s0021-9258(18)55655-6
发表时间:
1956
期刊:
The Journal of biological chemistry
影响因子:
--
作者:
J. Ballou;R. Thompson
通讯作者:
R. Thompson
影响因子:
6.5
作者:
Foster,DM;Barrett,PH;Toffolo,G;Beltz,WF;Cobelli,C
通讯作者:
Cobelli,C
DOI:
10.1152/ajpendo.00579.2012
发表时间:
2013-04-01
影响因子:
5.1
作者:
Holm, Lars;O'Rourke, Bruce;Matthews, Dwight E.
通讯作者:
Matthews, Dwight E.
影响因子:
6.5
作者:
Alice H. Lichtenstein;J. S. Cohn;David L. Hachey;John S. Millar;J. Ordovás;Ernst J. Schaefer
通讯作者:
Alice H. Lichtenstein;J. S. Cohn;David L. Hachey;John S. Millar;J. Ordovás;Ernst J. Schaefer