ELEM Puts US$1M Behind Open Virtual Cell Data: Name the Cells, Genes and Perturbations Before Counting Samples
ELEM Biotech plans to invest US$1 million in generating and openly sharing perturbation data for training and validating virtual cell models, and is asking researchers worldwide which experiments should be measured first. Submissions must name concrete cell, gene and perturbation combinations along with sampling times, readouts, controls and independent biological replicates, building on the already open-source ELEM-1200RS and the upcoming ELEM-600PR. Its automated platform can prepare up to 100,000 arrayed genetically perturbed cell samples per month, but that is sample production capacity, not 100,000 distinct genes measured monthly.