Multiplex cytological profiling assay to measure diverse cellular states
Autor: | Kathleen Petri Seiler, Deepika Walpita, Anne E. Carpenter, Hyman A. Carrel, Vebjorn Ljosa, Paul A. Clemons, Melissa M. Kemp, J. Anthony Wilson, Stuart L. Schreiber, Katherine L. Sokolnicki, Sigrun M. Gustafsdottir, Todd R. Golub, Alykhan F. Shamji |
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Rok vydání: | 2013 |
Předmět: |
0303 health sciences
Fluorescence-lifetime imaging microscopy Multidisciplinary 010405 organic chemistry Extramural lcsh:R lcsh:Medicine Computational biology Biology Nuclear staining 01 natural sciences Molecular biology 0104 chemical sciences 03 medical and health sciences Cell staining Cell Line Tumor Image Processing Computer-Assisted Profiling (information science) Humans Multiplex lcsh:Q lcsh:Science 030304 developmental biology Fluorescent Dyes Research Article |
Zdroj: | PLoS ONE PLoS ONE, Vol 8, Iss 12, p e80999 (2013) |
ISSN: | 1932-6203 |
Popis: | Computational methods for image-based profiling are under active development, but their success hinges on assays that can capture a wide range of phenotypes. We have developed a multiplex cytological profiling assay that “paints the cell” with as many fluorescent markers as possible without compromising our ability to extract rich, quantitative profiles in high throughput. The assay detects seven major cellular components. In a pilot screen of bioactive compounds, the assay detected a range of cellular phenotypes and it clustered compounds with similar annotated protein targets or chemical structure based on cytological profiles. The results demonstrate that the assay captures subtle patterns in the combination of morphological labels, thereby detecting the effects of chemical compounds even though their targets are not stained directly. This image-based assay provides an unbiased approach to characterize compound- and disease-associated cell states to support future probe discovery. |
Databáze: | OpenAIRE |
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