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In vivo pair correlation analysis of EGFP intranuclear diffusion reveals DNA-dependent molecular flow

Authors :
Enrico Gratton
Elizabeth Hinde
Francesco Cardarelli
Michelle A. Digman
Hinde, Elizabeth
Cardarelli, Francesco
Digman, Michelle A.
Gratton, Enrico
Source :
Hinde, E; Cardarelli, F; Digman, MA; & Gratton, E. (2010). In vivo pair correlation analysis of EGFP intranuclear diffusion reveals DNA-dependent molecular flow. Proceedings of the National Academy of Sciences of the United States of America, 107(38), 16560-16565. doi: 10.1073/pnas.1006731107. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5mw799k1
Publication Year :
2010

Abstract

No methods proposed thus far have the capability to measure overall molecular flow in the nucleus of living cells. Here, we apply the pair correlation function analysis (pCF) to measure molecular anisotropic diffusion in the interphase nucleus of live cells. In the pCF method, we cross-correlate fluctuations at several distances and locations within the nucleus, enabling us to define migration paths and barriers to diffusion. We use monomeric EGFP as a prototypical inert molecule and measure flow in and between different nuclear environments. Our results suggest that there are two disconnect molecular flows throughout the nucleus associated with high and low DNA density regions. We show that different density regions of DNA form a networked channel that allows EGFP to diffuse freely throughout, however with restricted ability to traverse the channel. We also observe rare and sudden bursts of molecules traveling across DNA density regions with characteristic time of ≈300 ms, suggesting intrinsic localized change in chromatin structure. This is a unique in vivo demonstration of the intricate chromatin network showing channel directed diffusion of an inert molecule with high spatial and temporal resolution.

Details

ISSN :
10916490
Volume :
107
Issue :
38
Database :
OpenAIRE
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Accession number :
edsair.doi.dedup.....5b09944156208e21029e0853a17190cb