Multiplex cytological profiling assay to measure diverse cellular states.
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 withou...
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doaj-8c40507e5fdb43ab9bb993e3733562bc2020-11-25T02:06:25ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01812e8099910.1371/journal.pone.0080999Multiplex cytological profiling assay to measure diverse cellular states.Sigrun M GustafsdottirVebjorn LjosaKatherine L SokolnickiJ Anthony WilsonDeepika WalpitaMelissa M KempKathleen Petri SeilerHyman A CarrelTodd R GolubStuart L SchreiberPaul A ClemonsAnne E CarpenterAlykhan F ShamjiComputational 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.http://europepmc.org/articles/PMC3847047?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sigrun M Gustafsdottir Vebjorn Ljosa Katherine L Sokolnicki J Anthony Wilson Deepika Walpita Melissa M Kemp Kathleen Petri Seiler Hyman A Carrel Todd R Golub Stuart L Schreiber Paul A Clemons Anne E Carpenter Alykhan F Shamji |
spellingShingle |
Sigrun M Gustafsdottir Vebjorn Ljosa Katherine L Sokolnicki J Anthony Wilson Deepika Walpita Melissa M Kemp Kathleen Petri Seiler Hyman A Carrel Todd R Golub Stuart L Schreiber Paul A Clemons Anne E Carpenter Alykhan F Shamji Multiplex cytological profiling assay to measure diverse cellular states. PLoS ONE |
author_facet |
Sigrun M Gustafsdottir Vebjorn Ljosa Katherine L Sokolnicki J Anthony Wilson Deepika Walpita Melissa M Kemp Kathleen Petri Seiler Hyman A Carrel Todd R Golub Stuart L Schreiber Paul A Clemons Anne E Carpenter Alykhan F Shamji |
author_sort |
Sigrun M Gustafsdottir |
title |
Multiplex cytological profiling assay to measure diverse cellular states. |
title_short |
Multiplex cytological profiling assay to measure diverse cellular states. |
title_full |
Multiplex cytological profiling assay to measure diverse cellular states. |
title_fullStr |
Multiplex cytological profiling assay to measure diverse cellular states. |
title_full_unstemmed |
Multiplex cytological profiling assay to measure diverse cellular states. |
title_sort |
multiplex cytological profiling assay to measure diverse cellular states. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2013-01-01 |
description |
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. |
url |
http://europepmc.org/articles/PMC3847047?pdf=render |
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