Biotechnology articles from across Nature Portfolio

We developed Dual Selective Organ-Targeting Lipid Nanoparticles (Dual SORT LNPs) capable of delivering base editors to multiple organs. Base editor Dual SORT LNPs corrected disease-causing mutations in both the liver and lungs, the primary organs affected in alpha-1 antitrypsin deficiency.

Finding phenotypic variance that results from gene interactions (epistasis) has been a longstanding challenge in human genetics. The combination of a new machine learning framework with functional genomics now provides evidence that cardiac hypertrophy is regulated by non-additive genetic interactions.

Optimized TALE base editors are used to generate a rat model of mitochondrial disease and then revert the disease mutation in the next generation.

Two orthogonal mass spectrometry techniques reveal that both the Fc and Fab domains of IgGs make direct interactions with FcRn, which could inform the engineering of new improved therapeutic IgGs.

A hybrid extracellular matrix–hydrogel with tunable mechanical stiffness and biochemical composition of young or aged cardiac tissue is used to identify the specific contributions of extracellular matrix ligands and mechanics for fibroblast aging.

Chen and colleagues explore how RNA therapeutics targeting mechanisms of aging can be used to treat age-related diseases and promote healthy aging. They discuss current preclinical and clinical progress, along with key challenges and future directions.

Nanoparticle pharmacokinetics is affected by the formation of a protein corona in vivo. Mass spectrometry-based proteomics is essential for understanding the corona composition. This Perspective discusses how method reproducibility can be improved.

We developed Dual Selective Organ-Targeting Lipid Nanoparticles (Dual SORT LNPs) capable of delivering base editors to multiple organs. Base editor Dual SORT LNPs corrected disease-causing mutations in both the liver and lungs, the primary organs affected in alpha-1 antitrypsin deficiency.

Avi Schneider discusses how Janus-like magnetic particles can help to study spin-related effects in biomolecules.

Like everyone else, scientists often know how to work in a more sustainable way — but choose not to. How can art help bridge the gap between knowledge and motivation?

Finding phenotypic variance that results from gene interactions (epistasis) has been a longstanding challenge in human genetics. The combination of a new machine learning framework with functional genomics now provides evidence that cardiac hypertrophy is regulated by non-additive genetic interactions.