Inaccurate chemical structures of dyes and fluorochromes found in the literature can be problematic for teaching and research

Using QSAR Models to Predict Mitochondrial Targeting by Small-Molecule Xenobiotics Within Living Cells

Prediction of mitochondrial targeting, or prediction of exclusion from mitochondria, of small-molecule xenobiotics (biocides, drugs, probes, toxins) can be achieved using an algorithm derived from QSAR modeling. Application of the algorithm requires knowing the chemical structures of all ionic species of the xenobiotic compound in question, and for certain numerical structure parameters (AI, CBN, log P, pK _a, and Z) to be obtained for all such species. Procedures for specification of the chemical structures; estimation of the structure parameters; and application of the algorithm are described in an explicit protocol.

Tetrazolium salts and formazan products in Cell Biology: Viability assessment, fluorescence imaging, and labeling perspectives

For many years various tetrazolium salts and their formazan products have been employed in histochemistry and for assessing cell viability. For the latter application, the most widely used are 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide (MTT), and 5-cyano-2,3-di-(p-tolyl)-tetrazolium chloride (CTC) for viability assays of eukaryotic cells and bacteria, respectively. In these cases, the nicotinamide-adenine-dinucleotide (NAD(P)H) coenzyme and dehydrogenases from metabolically active cells reduce tetrazolium salts to strongly colored and lipophilic formazan products, which are then quantified by absorbance (MTT) or fluorescence (CTC). More recently, certain sulfonated tetrazolium, which give rise to water-soluble formazans, have also proved useful for cytotoxicity assays. We describe several aspects of the application of tetrazolium salts and formazans in biomedical cell biology research, mainly regarding formazan-based colorimetric assays, cellular reduction of MTT, and localization and fluorescence of the MTT formazan in lipidic cell structures. In addition, some pharmacological and labeling perspectives of these compounds are also described.

Predicting mitochondrial targeting by small molecule xenobiotics within living cells using QSAR models

Whether small molecule xenobiotics (biocides, drugs, probes, toxins) will target mitochondria in living cells can be predicted using an algorithm derived from QSAR modeling. Application of the algorithm requires the chemical structures of all ionic species of the xenobiotic compound in question to be defined, and for certain numerical structure parameters (AI, CBN, log P, pKa, and Z) to be obtained for all such species. How the chemical structures are specified, how the structure parameters are obtained or estimated, and how the algorithm is used are described in an explicit protocol.

Predictive binding geometry of ligands to DNA minor groove: isohelicity and hydrogen-bonding pattern

The interaction of drugs and dyes with nucleic acids, particularly when binding to DNA minor groove occurs, has increasing importance in biomedical sciences. This is due to the resulting biological activity and to the possibility of recognizing AT and GC base pairs. In such cases, DNA binding can be predicted if appropriate helical and hydrogen-bonding parameters are deduced from DNA models, and a simplified geometrical rule in the form of a stencil is then applied on computer-drawn molecules of interest. Relevant structure parameter values for minor groove binders are the length (4.6 < L < 5.4 Å) and angle (152 < σ < 156.5°) between three consecutive units, measured at the level of hydrogen donor or acceptor groups. Application of the stencil shows that predictive methods can aid in the design of new compounds, by checking the possible binding of isohelical sequence-specific ligands along the DNA minor groove.

Identifying different types of chromatin using Giemsa staining

Mixtures of polychrome methylene blue-eosin Y (i.e., Giemsa stain) are widely used in biological staining. They induce a striking purple coloration of chromatin DNA (the Romanowsky-Giemsa effect), which contrasts with the blue-stained RNA-containing cytoplasm and nucleoli. After specific prestaining treatments that induce chromatin disorganization (giving banded or harlequin chromosomes), Giemsa staining produces a differential coloration, with C- and G-bands appearing in purple whereas remaining chromosome regions are blue. Unsubstituted (TT) and bromo-substituted (BT) DNAs also appear purple and blue, respectively. The same occurs in the case of BT and BB chromatids.In addition to discussing the use of Giemsa stain as a suitable method to reveal specific features of chromosome structure, some molecular processes and models are also described to explain Giemsa staining mechanisms of chromatin.