Prewritten fates: how space, stress, and systemic signals shape cancer

Franklin was no victim in how the DNA double helix was solved. An overlooked letter and an unpublished news article, both written in 1953, reveal that she was an equal player.

How cells and whales keep control

From aging clones to generative genomics: evolution meets AI in modern Biology

State-of-the-art biotechnologies allow the detection of different molecular species on the same biological sample, generating complex highly-dimensional multi-modal datasets. Gaining a holistic unders...

Four amino accids, pH shifts, and transformers: the new rules of cellular adaptation

When molecules learn and models see

RAEFISH delivers whole-transcriptome (>20,000 genes) imaging at single-molecule resolution in cells and tissues and enables direct gRNA detection for high-content, image-based CRISPR screens.

McCreery, Stubb et al. show that mechano-osmotic changes in the nucleus induce general transcriptional repression and prime chromatin for cell fate transitions by relieving repression of specific differentiation genes.

Whether you're a scientist, IT specialist, accountant or administrator, you'll help us tackle the challenges of improving human health & biodiversity in the face of climate change on a global scal...

Macrophages, molecules, and models: highlights across cancer and computation

Nature Reviews Cancer, Published online: 25 September 2025; doi:10.1038/s41568-025-00873-0In this Review, Dong and Blanpain outline our current understanding of the epithelial-to-mesenchymal transition in cancer, which we now know is not a simple binary switch but the existence of a series of different tumour states. The authors also discuss the implications of this knowledge for pharmacologically targeting epithelial-to-mesenchymal transition to overcome therapy resistance.

From epigenetic evolution to AI-designed phages

The Max Planck Institute for Molecular Biomedicine in Münster, Germany, has an opening for a

When cancer talks to nerves, fibroblasts and machines

From structure to signals: new frontiers in cancer, spatial biology, and synthetic therapies

Reprogramming biology: CAFs, motifs, metabolism, and more...