Nuclear Mapping of Nanodrug Delivery Systems in Dynamic Cellular Environments
datasetposted on 20.02.2016 by Ashwinkumar A. Bhirde, Ankur Kapoor, Gang Liu, Ramiro Iglesias-Bartolome, Albert Jin, Guofeng Zhang, Ruijun Xing, Seulki Lee, Richard D. Leapman, J Silvio Gutkind, Xiaoyuan Chen
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Nanoformulations have shown great promise for delivering chemotherapeutics and hold tremendous clinical relevance. However nuclear mapping of the chemodrugs is important to predict the success of the nanoformulation. In this study fluorescence microscopy and a subcellular tracking algorithm were used to map the diffusion of chemotherapeutic drugs in cancer cells. Positively charged nanoparticles efficiently carried the chemodrug across the cell membrane. The algorithm helped map free drug and drug-loaded nanoparticles, revealing a varying nuclear diffusion pattern of the chemotherapeutics in drug-sensitive and -resistant cells in a live dynamic cellular environment. While the drug-sensitive cells showed an exponential uptake of the drug with time, resistant cells showed random and asymmetric drug distribution. Moreover nanoparticles carrying the drug remained in the perinuclear region, while the drug accumulated in the cell nuclei. The tracking approach has enabled us to predict the therapeutic success of different nanoscale formulations of doxorubicin.