An integrated transcriptomic cell atlas of human neural organoids

Nature, Journal Year: 2024, Volume and Issue: 635(8039), P. 690 - 698

Published: Nov. 20, 2024

Human neural organoids, generated from pluripotent stem cells in vitro, are useful tools to study human brain development, evolution and disease. However, it is unclear which parts of the covered by existing protocols, has been difficult quantitatively assess organoid variation fidelity. Here we integrate 36 single-cell transcriptomic datasets spanning 26 protocols into one integrated cell atlas totalling more than 1.7 million cells1–26. Mapping developing references27–30 shows primary types states that have estimates similarity between counterparts across protocols. We provide a programmatic interface browse query new datasets, showcase power annotate evaluate Finally, show can be used as diverse control cohort compare models disease, identifying genes pathways may underlie pathological mechanisms with models. The will fidelity, characterize perturbed diseased facilitate protocol development. A integrating counterparts, showing potential fidelity

Language: Английский

How to think about designing smart antibodies in the age of genAI: integrating biology, technology, and experience

mAbs, Journal Year: 2025, Volume and Issue: 17(1)

Published: April 10, 2025

Antibody discovery has been successful in designing and progressing molecules to the clinic market based on largely empirical methods human experience. The field is now transitioning from classical monospecific antibodies innovative smart biologics that employ diverse mechanisms of action, such as targeting, antagonism, agonism, target-independent function. This evolution being assisted, augmented, potentially disrupted by artificial intelligence machine learning (AI/ML) technologies. perspective focused bringing clarity strategy thinking required when antibody drug candidates how emerging AI/ML strategies can address real-world challenges continue improve performance.

Language: Английский