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JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations

Authors :
Srinivas Niranj Chandrasekaran
Jeanelle Ackerman
Eric Alix
D. Michael Ando
John Arevalo
Melissa Bennion
Nicolas Boisseau
Adriana Borowa
Justin D. Boyd
Laurent Brino
Patrick J. Byrne
Hugo Ceulemans
Carolyn Ch’ng
Beth A. Cimini
Djork-Arne Clevert
Nicole Deflaux
John G Doench
Thierry Dorval
Regis Doyonnas
Vincenza Dragone
Ola Engkvist
Patrick W. Faloon
Briana Fritchman
Florian Fuchs
Sakshi Garg
Tamara J. Gilbert
David Glazer
David Gnutt
Amy Goodale
Jeremy Grignard
Judith Guenther
Yu Han
Zahra Hanifehlou
Santosh Hariharan
Desiree Hernandez
Shane R Horman
Gisela Hormel
Michael Huntley
Ilknur Icke
Makiyo Iida
Christina B. Jacob
Steffen Jaensch
Jawahar Khetan
Maria Kost-Alimova
Tomasz Krawiec
Daniel Kuhn
Charles-Hugues Lardeau
Amanda Lembke
Francis Lin
Kevin D. Little
Kenneth R. Lofstrom
Sofia Lotfi
David J. Logan
Yi Luo
Franck Madoux
Paula A. Marin Zapata
Brittany A. Marion
Glynn Martin
Nicola Jane McCarthy
Lewis Mervin
Lisa Miller
Haseeb Mohamed
Tiziana Monteverde
Elizabeth Mouchet
Barbara Nicke
Arnaud Ogier
Anne-Laure Ong
Marc Osterland
Magdalena Otrocka
Pieter J. Peeters
James Pilling
Stefan Prechtl
Chen Qian
Krzysztof Rataj
David E Root
Sylvie K. Sakata
Simon Scrace
Hajime Shimizu
David Simon
Peter Sommer
Craig Spruiell
Iffat Sumia
Susanne E Swalley
Hiroki Terauchi
Amandine Thibaudeau
Amy Unruh
Jelle Van de Waeter
Michiel Van Dyck
Carlo van Staden
Michał Warchoł
Erin Weisbart
Amélie Weiss
Nicolas Wiest-Daessle
Guy Williams
Shan Yu
Bolek Zapiec
Marek Żyła
Shantanu Singh
Anne E. Carpenter
Publication Year :
2023
Publisher :
Cold Spring Harbor Laboratory, 2023.

Abstract

Image-based profiling has emerged as a powerful technology for various steps in basic biological and pharmaceutical discovery, but the community has lacked a large, public reference set of data from chemical and genetic perturbations. Here we present data generated by the Joint Undertaking for Morphological Profiling (JUMP)-Cell Painting Consortium, a collaboration between 10 pharmaceutical companies, six supporting technology companies, and two non-profit partners. When completed, the dataset will contain images and profiles from the Cell Painting assay for over 116,750 unique compounds, over-expression of 12,602 genes, and knockout of 7,975 genes using CRISPR-Cas9, all in human osteosarcoma cells (U2OS). The dataset is estimated to be 115 TB in size and capturing 1.6 billion cells and their single-cell profiles. File quality control and upload is underway and will be completed over the coming months at the Cell Painting Gallery:https://registry.opendata.aws/cellpainting-gallery. A portal to visualize a subset of the data is available athttps://phenaid.ardigen.com/jumpcpexplorer/.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........0ad294298f87b0d35776a491fba28d7f
Full Text :
https://doi.org/10.1101/2023.03.23.534023