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Illumina introduces Billion Cell Atlas to accelerate AI and drug discovery
Prnewswire· 2026-01-13 14:15
Core Insights - Illumina has launched the world's largest genome-wide genetic perturbation dataset, the Illumina Billion Cell Atlas, aimed at accelerating drug discovery through AI across the pharmaceutical ecosystem [1][2] - The Atlas is part of a larger initiative to create a 5 billion cell atlas over three years, representing the most comprehensive map of human disease biology to date [1][11] Group 1: Collaboration and Partnerships - The Atlas is being developed in collaboration with founding partners AstraZeneca, Merck, and Eli Lilly, focusing on drug target validation and training advanced AI models [2][3] - Merck plans to utilize the Atlas to enhance precision medicine approaches in their drug discovery pipelines, leveraging AI/ML models to improve disease prediction [3][4] Group 2: Technological Advancements - The Atlas will capture responses of 1 billion individual cells to genetic changes via CRISPR across over 200 disease-relevant cell lines, including those related to immune disorders, cancer, and rare genetic diseases [5] - The Illumina Single Cell 3' RNA prep platform enables the capture of millions of individual cells in a single experiment, generating 20 petabytes of single-cell transcriptomic data annually [9] Group 3: Research and Development Impact - The Atlas will facilitate the characterization of drug and disease mechanisms, exploration of new indications, and validation of candidate targets from human genetics [6] - The initiative aims to translate genetic information into a clearer understanding of disease mechanisms, thereby enhancing drug development decisions [7] Group 4: Future Prospects - Illumina's BioInsight business is set to provide foundational technologies and datasets for the next generation of drug discovery and AI in pharmaceuticals [10] - The company is actively expanding multi-billion cell atlases over time, building on previous initiatives to create a comprehensive single-cell resource [11]