BioSciences Publications

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https://hdl.handle.net/1911/78269
BioSciences faculty publications. For works published before Summer 2014, please see the Biochemistry & Cell Biology and Ecology & Evolutionary Biology collections.

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Browsing BioSciences Publications by Author "Aiden, Erez Lieberman"

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    A Transferable Model for Chromosome Architecture
    (National Academy of Sciences, 2016) Di Pierro, M.; Zhang, Boyu; Aiden, Erez Lieberman; Wolynes, P.G.; Onuchic, José Nelson
    In vivo, the human genome folds into a characteristic ensemble of 3D structures. The mechanism driving the folding process remains unknown. We report a theoretical model for chromatin (Minimal Chromatin Model) that explains the folding of interphase chromosomes and generates chromosome conformations consistent with experimental data. The energy landscape of the model was derived by using the maximum entropy principle and relies on two experimentally derived inputs: a classification of loci into chromatin types and a catalog of the positions of chromatin loops. First, we trained our energy function using the Hi-C contact map of chromosome 10 from human GM12878 lymphoblastoid cells. Then, we used the model to perform molecular dynamics simulations producing an ensemble of 3D structures for all GM12878 autosomes. Finally, we used these 3D structures to generate contact maps. We found that simulated contact maps closely agree with experimental results for all GM12878 autosomes. The ensemble of structures resulting from these simulations exhibited unknotted chromosomes, phase separation of chromatin types, and a tendency for open chromatin to lie at the periphery of chromosome territories.
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    Exploring chromosomal structural heterogeneity across multiple cell lines
    (eLife, 2020) Cheng, Ryan R.; Contessoto, Vinícius G.; Aiden, Erez Lieberman; Wolynes, Peter G.; Di Pierro, Michele; Onuchic, José Nelson; Center for Theoretical Biological Physics
    Using computer simulations, we generate cell-specific 3D chromosomal structures and compare them to recently published chromatin structures obtained through microscopy. We demonstrate using machine learning and polymer physics simulations that epigenetic information can be used to predict the structural ensembles of multiple human cell lines. Theory predicts that chromosome structures are fluid and can only be described by an ensemble, which is consistent with the observation that chromosomes exhibit no unique fold. Nevertheless, our analysis of both structures from simulation and microscopy reveals that short segments of chromatin make two-state transitions between closed conformations and open dumbbell conformations. Finally, we study the conformational changes associated with the switching of genomic compartments observed in human cell lines. The formation of genomic compartments resembles hydrophobic collapse in protein folding, with the aggregation of denser and predominantly inactive chromatin driving the positioning of active chromatin toward the surface of individual chromosomal territories.