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Full-Text Articles in Biochemistry, Biophysics, and Structural Biology

Heterogeneity And Intrinsic Variation In Spatial Genome Organization, Elizabeth Finn, Gianluca Pegoraro, Hugo B. Brandao, Anne-Laure Valton, Marlies E. Oomen, Job Dekker, Leonid Mirny, Tom Misteli Aug 2017

Heterogeneity And Intrinsic Variation In Spatial Genome Organization, Elizabeth Finn, Gianluca Pegoraro, Hugo B. Brandao, Anne-Laure Valton, Marlies E. Oomen, Job Dekker, Leonid Mirny, Tom Misteli

University of Massachusetts Medical School Faculty Publications

The genome is hierarchically organized in 3D space and its architecture is altered in differentiation, development and disease. Some of the general principles that determine global 3D genome organization have been established. However, the extent and nature of cell-to-cell and cell-intrinsic variability in genome architecture are poorly characterized. Here, we systematically probe the heterogeneity in genome organization in human fibroblasts by combining high-resolution Hi-C datasets and high-throughput genome imaging. Optical mapping of several hundred genome interaction pairs at the single cell level demonstrates low steady-state frequencies of colocalization in the population and independent behavior of individual alleles in single nuclei ...


Venn, A Tool For Titrating Sequence Conservation Onto Protein Structures, Jay Vyas, Michael R. Gryk, Martin R. Schiller Oct 2009

Venn, A Tool For Titrating Sequence Conservation Onto Protein Structures, Jay Vyas, Michael R. Gryk, Martin R. Schiller

Life Sciences Faculty Publications

Residue conservation is an important, established method for inferring protein function, modularity and specificity. It is important to recognize that it is the 3D spatial orientation of residues that drives sequence conservation. Considering this, we have built a new computational tool, VENN that allows researchers to interactively and graphically titrate sequence homology onto surface representations of protein structures. Our proposed titration strategies reveal critical details that are not readily identified using other existing tools. Analyses of a bZIP transcription factor and receptor recognition of Fibroblast Growth Factor using VENN revealed key specificity determinants. Weblink: http://sbtools.uchc.edu/venn/.