Compound classification using image-based cellular phenotypes. The connectivity map: using gene-expression signatures to connect small molecules, genes, and disease. Display and analysis of patterns of differential activity of drugs against human tumor cell lines: development of mean graph and COMPARE algorithm. Origins of regulated cell-to-cell variability. Cellular heterogeneity: do differences make a difference? Cell 141, 559–563 (2010). Multidimensional drug profiling by automated microscopy. Increasing the content of high-content screening: an overview. The beautiful cell: high-content screening in drug discovery. Integrating phenotypic small-molecule profiling and human genetics: the next phase in drug discovery. Phenotypic screening in cancer drug discovery - past, present and future. The contribution of mechanistic understanding to phenotypic screening for first-in-class medicines. Cell culture and image acquisition takes 2 weeks feature extraction and data analysis take an additional 1–2 weeks.
Profiles of cell populations treated with different experimental perturbations can be compared to suit many goals, such as identifying the phenotypic impact of chemical or genetic perturbations, grouping compounds and/or genes into functional pathways, and identifying signatures of disease.
Cellprofiler analyzing lines software#
Next, an automated image analysis software identifies individual cells and measures ∼1,500 morphological features (various measures of size, shape, texture, intensity, and so on) to produce a rich profile that is suitable for the detection of subtle phenotypes. Cells are plated in multiwell plates, perturbed with the treatments to be tested, stained, fixed, and imaged on a high-throughput microscope. This protocol describes the design and execution of experiments using Cell Painting, which is a morphological profiling assay that multiplexes six fluorescent dyes, imaged in five channels, to reveal eight broadly relevant cellular components or organelles. In morphological profiling, quantitative data are extracted from microscopy images of cells to identify biologically relevant similarities and differences among samples based on these profiles.
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