ABSTRACT
Cell membrane deformation is an important feature that occurs during many physiological processes, and its study has been put to good use to investigate cardiomyocyte function. Several methods have been developed to extract information on cardiomyocyte contractility. However, no existing computational framework has provided, in a single platform, a straightforward approach to acquire, process, and quantify this type of cellular dynamics. For this reason, we develop CONTRACTIONWAVE, high-performance software written in Python programming language that allows the user to process large data image files and obtain contractility parameters by analyzing optical flow from images obtained with videomicroscopy. The software was validated by using neonatal, adult-, and human-induced pluripotent stem-cell-derived cardiomyocytes, treated or not with drugs known to affect contractility. Results presented indicate that CONTRACTIONWAVE is an excellent tool for examining changes to cardiac cellular contractility in animal models of disease and for pharmacological and toxicology screening during drug discovery.
Subject(s)
Induced Pluripotent Stem Cells , Optic Flow , Animals , Infant, Newborn , Humans , Software , Myocytes, Cardiac , Cells, CulturedABSTRACT
PFstats is a software developed for the extraction of useful information from protein multiple sequence alignments. By analyzing positional conservation and residue coevolution networks, the software allows the identification of structurally and functionally important residue groups and the discovery of probable functional subclasses. Furthermore, it contains tools for the identification of the possible biological significance of these findings. PFstats contains methods for maximizing the significance of alignments through filtering and weighting, residue conservation and coevolution analysis, automatic UniprotKb queries for residue-position annotation and many possible data visualization methods.
