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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Main Authors: 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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3847047?pdf=render
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spelling 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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