Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations

Author:

Chandrasekaran Srinivas NiranjORCID,Cimini Beth A.ORCID,Goodale Amy,Miller Lisa,Kost-Alimova Maria,Jamali NasimORCID,Doench JohnORCID,Fritchman Briana,Skepner Adam,Melanson Michelle,Arevalo JohnORCID,Caicedo Juan C.ORCID,Kuhn DanielORCID,Hernandez Desiree,Berstler Jim,Shafqat-Abbasi HamdahORCID,Root David,Swalley Sussane,Singh ShantanuORCID,Carpenter Anne E.ORCID

Abstract

AbstractWe present a new, carefully designed and well-annotated dataset of images and image-based profiles of cells that have been treated with chemical compounds and genetic perturbations. Each gene that is perturbed is a known target of at least two compounds in the dataset. The dataset can thus serve as a benchmark to evaluate methods for predicting similarities between compounds and between genes and compounds, measuring the effect size of a perturbation, and more generally, learning effective representations for measuring cellular state from microscopy images. Advancements in these applications can accelerate the development of new medicines.

Publisher

Cold Spring Harbor Laboratory

Reference21 articles.

1. Improving Phenotypic Measurements in High-Content Imaging Screens

2. Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes

3. Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl

4. Weakly Supervised Learning of Single-Cell Feature Embeddings

5. Chandrasekaran SN , Ceulemans H , Boyd JD , & Carpenter AE . (2020). Image-based profiling for drug discovery: due for a machine-learning upgradeã Nat. Rev. Drug Discov., 1–15. Retrieved from https://www.nature.com/articles/s41573-020-00117-w

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