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Leonard, A. N.

Publications and source records attributed to Leonard, A. N..

2 recordsLinked to original sources

Robust integrated intracellular organization of the human iPS cell: where, how much, and how variable?

Despite the intimate link between cell organization and function, the principles underlying intracellular organization and the relation between organization, gene expression and phenotype are not well understood. We address this by creating a benchmark for mean cell organization and the natural range of cell-to-cell variation. This benchmark can be used for comparison to other normal or abnormal cell states. To do this, we developed a reproducible microscope imaging pipeline to generate a high-quality dataset of 3D, high-resolution images of over 200,000 live cells from 25 isogenic human induced pluripotent stem cell (hiPSC) lines from the Allen Cell Collection. Each line contains one fluorescently tagged protein, created via endogenous CRISPR/Cas9 gene editing, representing a key cellular structure or organelle. We used these images to develop a new multi-part and generalizable analysis approach of the locations, amounts, and variation of these 25 cellular structures. Taking an integrated approach, we found that both the extent to which a structures individual location varied ("stereotypy") and the extent to which the structure localized relative to all the other cellular structures ("concordance") were robust to a wide range of cell shape variation, from flatter to taller, smaller to larger, or less to more polarized cells. We also found that these cellular structures varied greatly in how their volumes scaled with cell and nuclear size. These analyses create a data-driven set of quantitative rules for the locations, amounts, and variation of 25 cellular structures within the hiPSC as a normal baseline for cell organization.

cell biology

Activation of G-protein coupled receptors is thermodynamically linked to lipid solvation

Preferential lipid solvation of the G-protein coupled A2A adenosine receptor (A2AR) is evaluated from 35 sec of all-atom molecular dynamics simulation. A coarse-grained transition matrix algorithm is developed to overcome slow equilibration of the first solvation shell, obtaining statistically robust estimates of the free energy of solvation by different lipids for the receptor in different activation states. Results indicate preference for solvation by unsaturated chains, which favors the active receptor. A model for lipid-dependent GPCR activity is proposed in which the chemical potential of lipids in the bulk membrane modulates receptor activity. The enthalpy and entropy associated with moving saturated vs. unsaturated lipids from bulk to A2ARs first solvation shell are compared. In the simulated mixture, saturated chains are disordered (i.e., obtain a favorable entropic contribution) when partitioning to the receptor surface, but this is outweighed by a favorable enthalpic contribution for unsaturated chains to occupy the first solvation shell.

biophysics