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Predicting small molecule fluorescent probe localization in living cells using QSAR modeling. 1. Overview and models for probes of structure, properties and function in single cells

Authors :
John D. Pediani
Richard W. Horobin
Fiza Rashid-Doubell
Graeme Milligan
Source :
Biotechnichistochemistry : official publication of the Biological Stain Commission. 88(8)
Publication Year :
2013

Abstract

Small molecule fl uorochromes (synonyms: biosensors, chemosensors, fl uorescent probes, vital stains) are widely used to investigate the structure, composition, physicochemical properties and biological functions of living cells, tissues and organisms. Selective entry and accumulation within particular cells and cellular structures are key processes for achieving these diverse objectives. Despite the complexities, probes routinely are applied using standard protocols, often without experimenter awareness of what factors that control accumulation and localization. The mechanisms of many such selective accumulations, however, now are known. Moreover, the infl uence of physicochemical properties of probes on their uptake and localization often can be defi ned numerically, hence predicted, using quantitative structure activity relations (QSAR) models with its required numerical structure parameters (or “ descriptors ” ). The state of the art of this approach is described. Available QSAR models are summarized for uptake into cells and localization in the cytosol, endoplasmic reticulum, generic biomembranes, Golgi apparatus, lipid droplets, lysosomes/endosomes, mitochondria, eukaryotic nuclei (histones and DNA), plasma membrane, and ribosomal RNA (cytoplasmic and nucleolar). Integration of such core models to both aid understanding and troubleshooting of current fl uorescent probes and to assist the design of novel probes is outlined and illustrated using case examples. Limitations and generic problems arising with this approach and comments on application of such approaches to xenobiotics other than probes, e.g., drugs and herbicides, together with a brief note about an alternative approach to prediction, are given.

Details

ISSN :
14737760
Volume :
88
Issue :
8
Database :
OpenAIRE
Journal :
Biotechnichistochemistry : official publication of the Biological Stain Commission
Accession number :
edsair.doi.dedup.....9ce763c39e2e16f070e5999dd5b611a1