Roadmap

Classical computing has inherent limitations in capturing cellular dynamics. This Roadmap article discusses how recent advancements in quantum computing could overcome bottlenecks in spatiotemporal single-cell omics analyses and how it may be integrated into cell-based therapeutics.

Endoplasmic reticulum exit sites (ERES) are specialized ER subdomains that regulate the export of secreted cargo. This Roadmap explores how ERES integrate biochemical and mechanical signals to coordinate trafficking and proposes a multidisciplinary strategy to investigate their function, including in disease.

Studying RNA function is constrained by limitations of traditional methods. This Roadmap discusses how artificial intelligence (AI) can enhance the study of how non-coding regions of mRNA regulate its function, and suggests how to use AI to harness publicly available data towards that goal.

This Roadmap article discusses recent advances in the production and use of brain organoids to understand brain development and associated disorders. The path towards increasing organoid complexity and better maturation, to create more accurate and reproducible model systems, is outlined. Finally, the important ethical implications of these advances is discussed.

The mitochondrial proteome is highly complex, comprising ~1,000–1,500 proteins in mammals. Recent technological advances are now helping to refine the mitochondrial proteome and are assisting in characterizing mitochondrial protein functions, paving the way for better diagnosis and treatment of mitochondrial diseases.

Biomolecular condensates are membraneless molecular assemblies formed via liquid–liquid phase separation. They have a plethora of roles, ranging from controlling biochemical reactions to regulating cell organization and cell function. This article provides a framework for the study of condensate functions across these cellular length scales, offering to bring new understanding of biological processes.