07/2026 - The PRECISE European initiative for cancer-vulnerability mapping and prediction
PRECISE is a European initiative to move cancer research beyond descriptive atlases toward predictive, mechanistically informed models of tumor vulnerability. By integrating patient cohorts, disease-relevant model systems, perturbation biology, multimodal profiling and artificial intelligence-driven inference, the PRECISE consortium aims to learn generalizable and predictive rules that govern genetic dependencies and synthetic lethality. Understanding and exploiting […]
07/2026 - SpatioTemporal Omics Consortium: a global effort for biological discovery across species, space and time
In this Comment we introduce the SpatioTemporal Omics Consortium (STOC), a global, open network collaborating to integrate spatial and temporal omics across species, development, disease and evolution. The pace of innovation in spatial technologies has been extraordinary, rapidly transforming our ability to study biological systems within their native tissue environments. Throughout the history of biology, […]
07/2026 - Insulin synthesis is sustained by Tent5 poly(A) polymerases
Insulin is an essential regulator of glucose homeostasis in vertebrates, and impairment of its synthesis or action leads to diabetes with severe health complications in humans. It is therefore essential to understand how beta cells control insulin synthesis and secretion, including the transcription, translation and decay of its messenger RNA. Using sequencing-based poly(A) tail length […]
06/2026 - Genomic codes governing enhancer RNA fate
Long-read sequencing has transformed transcriptome profiling, yet capturing full-length, non-polyadenylated transcripts like enhancer RNAs (eRNAs) remains challenging. Here, we introduce CFC-seq, combining cap-trapping and in vitro poly(A)-tailing to sequence poly(A) and non-poly(A) RNAs with precise transcription start site. Paired with our assembler, SALA, we identified 39,425 novel transcriptional units, including ∼24,000 eRNAs. Our data reveal […]
04/2026 - Competing gene regulatory networks drive naive and memory B cell differentiation
Elucidating the gene regulatory networks (GRNs) that control human B cell differentiation is crucial for understanding immune responses to infection, vaccination, and autoimmunity. Here, we map the GRNs guiding naive and memory B cell differentiation. Early in activation, both cell types engage highly similar GRNs. However, at later stages, naive B cells diverge into two […]