Frequent sampling reveals dynamic responses by the transcriptome to routine media replacement in HepG2 cells

被引:9
作者
Morgan, KT
Casey, W
Easton, M
Creech, D
Ni, H
Yoon, L
Anderson, S
Qualls, CW
Crosby, LM
MacPherson, A
Bloomfield, P
Elston, TC
机构
[1] Aventis Pharmaceut, Raleigh, NC 27612 USA
[2] GlaxoSmithKline, Res Triangle Pk, NC 27709 USA
[3] Aventis Pharmaceut, Bridgewater, NJ 08807 USA
[4] Lehigh Univ, Dept Math, Chapel Hill, NC 27515 USA
[5] N Carolina State Univ, Dept Stat, Raleigh, NC 27695 USA
[6] Univ N Carolina, Dept Math, Chapel Hill, NC 27599 USA
关键词
transcriptome; dynamics; media replacement; HepG2; liver; human; CYP1A1; asparagine synthetase;
D O I
10.1080/01926230390213784
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
Cultured cell lines are employed extensively for biological research. Large-scale differential gene expression (LSDGE) is being used to study mechanisms of toxicity in such cultures. 'Normal' gene expression dynamics could have a major impact on the design and interpretation of these studies. In order to provide understanding of such dynamics, we investigated LSDGE responses to media replacement in human hepatoblastoma cells (HepG2) using 5-minute sampling frequencies for 6 hours post routine media replacement. Each mRNA transcript was found to exhibit a characteristic 'operating range' based on signal intensity. Following media replacement, which replenishes nutrients (eg, glucose and glutamate) and removes excretory products (eg, lactate), a complex set of gene expression changes was observed. Some transcripts appeared to switch on from a quiescent state to a very active one (eg, CYP1A1), others exhibited 'clocklike' oscillations (eg, asparagine synthetase), or a synchronous burst (chirp) of expression up regulation (eg, timeless). Mathematical analysis ( Fourier Transform, Singular Value Decomposition, Wavelets, Phase Analysis) of oscillating expression patterns identified cycle lengths ranging from 11.8 to 210 minutes. There were prominent 36.5- and 17.4- minute cycles, for subsets of genes, and transcript-specific differences in phase angle with respect to these cycles. The functional consequences of these novel observations remain to be determined. It is clear that dense time-course studies provide a valuable approach to the investigation of physiological responses to nutrients, toxicants, and other environmental variables. This research also highlights the need for an understanding of biological dynamics when using cell culture systems.
引用
收藏
页码:448 / 461
页数:14
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