Superhuman cell death detection with biomarker-optimized neural networks.

Cellular events underlying neurodegenerative disease may be captured by longitudinal live microscopy of neurons. While the advent of robot-assisted microscopy has helped scale such efforts to high-throughput regimes with the statistical power to detect transient events, time-intensive human annotation is required. We addressed this fundamental limitation with biomarker-optimized convolutional neural networks (BO-CNNs): interpretable computer vision models trained directly on biosensor activity.

The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations.

The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common Fund program that catalogs how human cells globally respond to chemical, genetic, and disease perturbations. Resources generated by LINCS include experimental and computational methods, visualization tools, molecular and imaging data, and signatures. By assembling an integrated picture of the range of responses of human cells exposed to many perturbations, the LINCS program aims to better understand human disease and to advance the development of new therapies.

Gene delivery to mammalian cells using a graphene nanoribbon platform.

We have developed a novel oxidized graphene nanoribbon-based platform (O-GNR) for gene delivery of double-stranded DNA into mammalian cells. O-GNRs, synthesized via longitudinal unzipping of multi-walled carbon nanotubes (MWCNTs), exhibited efficient DNA loading of small dsDNA fragments. Fourier Transform Infrared Spectroscopy identified stretching peaks in the O-P-O and DNA sugar phosphate backbone that were consistent with DNA loading onto O-GNRs.