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RefCell: multi-dimensional analysis of image-based high-throughput screens based on ‘typical cells’

dc.contributor.authorShen, Yang
dc.contributor.authorKubben, Nard
dc.contributor.authorCandia, Julián
dc.contributor.authorMorozov, Alexandre V.
dc.contributor.authorMisteli, Tom
dc.contributor.authorLosert, Wolfgang
dc.date.accessioned2021-06-14T19:19:55Z
dc.date.available2021-06-14T19:19:55Z
dc.date.issued2018-11-16
dc.identifierhttps://doi.org/10.13016/rvoh-6yb7
dc.identifier.citationShen, Y., Kubben, N., Candia, J. et al. RefCell: multi-dimensional analysis of image-based high-throughput screens based on ‘typical cells’. BMC Bioinformatics 19, 427 (2018).en_US
dc.identifier.urihttp://hdl.handle.net/1903/27161
dc.description.abstractImage-based high-throughput screening (HTS) reveals a high level of heterogeneity in single cells and multiple cellular states may be observed within a single population. Currently available high-dimensional analysis methods are successful in characterizing cellular heterogeneity, but suffer from the “curse of dimensionality” and non-standardized outputs. Here we introduce RefCell, a multi-dimensional analysis pipeline for image-based HTS that reproducibly captures cells with typical combinations of features in reference states and uses these “typical cells” as a reference for classification and weighting of metrics. RefCell quantitatively assesses heterogeneous deviations from typical behavior for each analyzed perturbation or sample. We apply RefCell to the analysis of data from a high-throughput imaging screen of a library of 320 ubiquitin-targeted siRNAs selected to gain insights into the mechanisms of premature aging (progeria). RefCell yields results comparable to a more complex clustering-based single-cell analysis method; both methods reveal more potential hits than a conventional analysis based on averages.en_US
dc.description.urihttps://doi.org/10.1186/s12859-018-2454-1
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.subjectHeterogeneityen_US
dc.subjectSingle-cell analysisen_US
dc.subjectImage-based high-throughput screenen_US
dc.titleRefCell: multi-dimensional analysis of image-based high-throughput screens based on ‘typical cells’en_US
dc.typeArticleen_US
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtPhysicsen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us


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