Variability and memory of protein levels in human cells
Top Cited Papers
- 1 November 2006
- journal article
- letter
- Published by Springer Nature in Nature
- Vol. 444 (7119), 643-646
- https://doi.org/10.1038/nature05316
Abstract
Protein expression is a stochastic process that leads to phenotypic variation among cells1,2,3,4,5,6. The cell–cell distribution of protein levels in microorganisms has been well characterized7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23 but little is known about such variability in human cells. Here, we studied the variability of protein levels in human cells, as well as the temporal dynamics of this variability, and addressed whether cells with higher than average protein levels eventually have lower than average levels, and if so, over what timescale does this mixing occur. We measured fluctuations over time in the levels of 20 endogenous proteins in living human cells, tagged by the gene for yellow fluorescent protein at their chromosomal loci24. We found variability with a standard deviation that ranged, for different proteins, from about 15% to 30% of the mean. Mixing between high and low levels occurred for all proteins, but the mixing time was longer than two cell generations (more than 40 h) for many proteins. We also tagged pairs of proteins with two colours, and found that the levels of proteins in the same biological pathway were far more correlated than those of proteins in different pathways. The persistent memory for protein levels that we found might underlie individuality in cell behaviour and could set a timescale needed for signals to affect fully every member of a cell population.Keywords
This publication has 29 references indexed in Scilit:
- Noise in protein expression scales with natural protein abundanceNature Genetics, 2006
- Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noiseNature, 2006
- Gene network shaping of inherent noise spectraNature, 2006
- Real-Time Kinetics of Gene Activity in Individual BacteriaCell, 2005
- Stochasticity in gene expression: from theories to phenotypesNature Reviews Genetics, 2005
- Improved monomeric red, orange and yellow fluorescent proteins derived from Discosoma sp. red fluorescent proteinNature Biotechnology, 2004
- Control of Stochasticity in Eukaryotic Gene ExpressionScience, 2004
- Noise Minimization in Eukaryotic Gene ExpressionPLoS Biology, 2004
- Noise in eukaryotic gene expressionNature, 2003
- A protein trap strategy to detect GFP-tagged proteins expressed from their endogenous loci in DrosophilaProceedings of the National Academy of Sciences, 2001