Significance: Predicting how epigenetic marks control the 3D organization of the genome is key to understanding how these marks regulate gene expression. We show that a physical model of a chromosome with experimentally measured local interactions segregates into euchromatin- and heterochromatin-like phases. The model reproduces many of the features of the large-scale organization of the chromosome as measured by Hi-C. Our work provides an estimate of the amount of epigenetic marking needed to segregate a gene into heterochromatin.
23 September 2013 in Proceedings of the National Academy of Sciences
Significance: Semiconducting polymers have promising applications in transistors, light-emitting diodes, and solar cells. These materials have microstructures that exhibit heterogeneity over multiple length scales, which obscures the relationship between properties, processing conditions, and device performance. Our work provides a theoretical framework to address the role of polymer conformations in electronic transport through disordered semiconducting polymers. We present a simple model that reconciles observations at the local scale with device-scale measurements of charge mobility (charges move quickly at short distances and slowly at long distances). The main features are the use of well-known models to describe the conformations of individual polymer chains and the inclusion of the kinetics of electronic transport between sites on a single polymer and between adjacent chains.
The development of experimental techniques capable of probing the viscoelasticity of soft materials over a broad range of time scales is essential to uncovering the physics that governs their behavior. In this work, we develop a microrheology technique that requires only 12 μL of sample and is capable of resolving dynamic behavior ranging in time scales from 10–6 to 10 s. Our approach, based on dynamic light scattering in the single-scattering limit, enables the study of polymer gels and other soft materials over a vastly larger hierarchy of time scales than macrorheology measurements. Our technique captures the viscoelastic modulus of polymer hydrogels with a broad range of stiffnesses from 10 to 104 Pa. We harness these capabilities to capture hierarchical molecular relaxations in DNA and to study the rheology of precious biological materials that are impractical for macrorheology measurements, including decellularized extracellular matrices and intestinal mucus. The use of a commercially available benchtop setup that is already available to a variety of soft matter researchers renders microrheology measurements accessible to a broader range of users than existing techniques, with the potential to reveal the physics that underlies complex polymer hydrogels and biological materials.