Calls for papers

Cutting-edge experimental models and computational approaches revolutionizing our understanding of metabolic disease mechanisms, from molecular to whole-organism scales.

This collection welcomes original pre-clinical and clinical studies on CNS injuries, focusing on diverse aspects in pathophysiology, diagnosis, treatment and rehabilitation strategies.

With this collection, Nature Communications, Nature, Nature Cancer, Nature Neuroscience, Nature Progress Oncology, Nature Progress Brain Health, and Communications Biology invite submissions that aim to elucidate the molecular mechanisms underlying bidirectional cancer–nervous system interactions and their influence on the tumour microenvironment, as well as pre-clinical and clinical studies exploring potential therapeutic strategies to target neural–cancer interactions.

The editors at Communications Biology now invite mechanistic studies that advance understanding of epigenetic regulation in development using in vivo systems, organoids, or other model systems.

Communications Biology invites submissions to this Collection focusing on stem cell-driven regeneration and repair in development, homeostasis, and disease.

We welcome contributions across a broad range of topics, including microbial and faunal functional traits, biogeochemical processes, soil–plant interactions, ecosystem services, methodological developments, and applications that support sustainable land management.

We are interested in methodological studies, including both computational and experimental approaches for designing new peptide therapeutics. We also welcome research presenting experimentally validated design of novel peptides.

Editors invite manuscripts that advance the scientific understanding of coral stress responses and climate resilience across molecular, physiological, ecological, and restoration focused dimensions.

We invite submissions that examine the mechanistic role and relevance of emerging or recently functionalized PTMs in the context of mammalian cell biology or disease.

This cross-journal Collection aims to bring together the latest and most compelling demonstration of generative models used for engineering biology, covering a range of fields where the resulting achievement is an engineered biological system.