Cell Painting Gallery

Description

The Cell Painting Gallery is a collection of image datasets created using the Cell Painting assay. The images of cells are captured by microscopy imaging, and reveal the response of various labeled cell components to whatever treatments are tested, which can include genetic perturbations, chemicals or drugs, or different cell types. The datasets can be used for diverse applications in basic biology and pharmaceutical research, such as identifying disease-associated phenotypes, understanding disease mechanisms, and predicting a drug’s activity, toxicity, or mechanism of action (Chandrasekaran et al 2020). This collection is maintained by the Carpenter–Singh lab and the Cimini lab at the Broad Institute.

Update Frequency

Typically when an associated publication is posted on biorxiv

License

CC0 1.0 Universal (CC0 1.0) Public Domain Dedication, but please do cite the corresponding publication for each dataset, as listed here.

Documentation

https://github.com/broadinstitute/cellpainting-gallery

Managed By

Carpenter-Singh and Cimini Labs

See all datasets managed by Carpenter-Singh and Cimini Labs.

Contact

cellpainting@broadinstitute.org

How to Cite

Cell Painting Gallery was accessed on DATE from https://registry.opendata.aws/cellpainting-gallery.

Usage Examples

Tutorials

• Cell Painting wiki by Multiple Authors
  
• Center for Open Bioimage Analysis (COBA) YouTube Channel - video tutorials of CellProfiler and other softwares by Multiple Authors
  
• Image-based Profiling Handbook - for processing image-based profiling datasets using CellProfiler and pycytominer by Multiple Authors
  
• Image-based profiling introductory exercise - data and an exercise on exploring image-based profiles, including understanding the various data levels by Beth Cimini
  
• Scientific Community Image Forum - for software-oriented aspects of scientific imaging including analysis, processing, and acquisition by Multiple Authors
  

Tools & Applications

• Deep Profiler - Morphological profiling using deep learning by Multiple Authors
  
• Distributed CellProfiler - Run encapsulated docker containers with CellProfiler in the Amazon Web Services infrastructure by Multiple Authors
  
• Image-based Profiling Recipe by Multiple Authors
  
• Pycytominer - Data processing functions for profiling perturbations by Multiple Authors
  

Publications

• A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay by Bray M-A, Gustafsdottir SM, Rohban MH, Singh S, Ljosa V, Sokolnicki KL, Bittker JA, Bodycombe NE, Dancik V, Hasaka TP, Hon CS, Kemp MM, Li K, Walpita D, Wawer MJ, Golub TR, Schreiber SL, Clemons PA, Shamji AF, & Carpenter AE
  
• Cell Painting predicts impact of lung cancer variants by Caicedo JC, Arevalo J, Piccioni F, Bray MA, Hartland CL, Wu X, Brooks AN, Berger AH, Boehm JS, Carpenter AE, & Singh S
  
• Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes by Bray M-A, Singh S, Han H, Davis CT, Borgeson B, Hartland C, Kost-Alimova M, Gustafsdottir SM, Gibson CC, & Carpenter AE
  
• Morphological Profiles of RNAi-Induced Gene Knockdown Are Highly Reproducible but Dominated by Seed Effects by Singh S, Wu X, Ljosa V, Bray M-A, Piccioni F, Root DE, Doench JG, Boehm JS, & Carpenter AE
  
• Multiplex Cytological Profiling Assay to Measure Diverse Cellular States by Gustafsdottir SM, Ljosa V, Sokolnicki KL, Wilson JA, Walpita D, Kemp MM, Seiler KP, Carrel HA, Golub TR, Schreiber SL, Clemons PA, Carpenter AE, and Shamji AF
  
• Systematic morphological profiling of human gene and allele function via Cell Painting by Rohban MH, Singh S, Wu X, Berthet JB, Bray M-A, Shrestha Y, Varelas X, Boehm JS, & Carpenter AE
  
• Toward performance-diverse small-molecule libraries for cell-based phenotypic screening using multiplexed high-dimensional profiling by Wawer MJ, Li K, Gustafsdottir SM, Ljosa V, BodycombeNE, Marton MA, Sokolnicki KL, Bray M-A, Kemp MM, Winchester E, Taylor B, Grant GB, Hon CSK, Duvall JR, Wilson JA, Bittker JA, Dancik V, Narayan R, Subramanian A, Winckler W, Golub TR, Carpenter AE, Shamji AF, Schreiber SL, & Clemons PA