Biotechnology articles from across Nature Portfolio

Engineered acoustic reporter genes with differential responses to the pressure of sound waves enable multiplexed ultrasound imaging and visualization of different cell types deep inside optically opaque living tissues.

Light-induced extracellular vesicle and particle adsorption (LEVA) is a micropatterning technique that uses precisely controlled light exposure to position extracellular vesicles and other particles (EVPs) on surfaces with high resolution. By creating complex microscale patterns and gradients of EVPs, LEVA enables the study of how cells interact with surface-bound EVPs and single-EVP analyses.

iAutoEvoLab is an industrial-grade automation platform for the growth-coupled, continuous evolution of proteins in yeast. Its high throughput, efficiency and effectiveness were demonstrated by the evolution of a DNA-binding protein (LmrA), a lactate sensor (LldR) and a RNA polymerase–capping enzyme fusion protein.

An efficient cargo delivery tool is essential for plant trait engineering. Here, the authors repot a core-shell microneedles for targeted delivery of nucleic acids, proteins, phytohormones, and Agrobacterium to both terrestrial and aquatic plants.

Tobacco is not only an important industrial crop but also severs as a model for plant science research and chassis for plant metabolic engineering. Here, the authors report genome-scale metabolic regulatory network and reveal key transcriptional hubs for different metabolite biosynthesis.

Engineered acoustic reporter genes with differential responses to the pressure of sound waves enable multiplexed ultrasound imaging and visualization of different cell types deep inside optically opaque living tissues.

Light-induced extracellular vesicle and particle adsorption (LEVA) is a micropatterning technique that uses precisely controlled light exposure to position extracellular vesicles and other particles (EVPs) on surfaces with high resolution. By creating complex microscale patterns and gradients of EVPs, LEVA enables the study of how cells interact with surface-bound EVPs and single-EVP analyses.

iAutoEvoLab is an industrial-grade automation platform for the growth-coupled, continuous evolution of proteins in yeast. Its high throughput, efficiency and effectiveness were demonstrated by the evolution of a DNA-binding protein (LmrA), a lactate sensor (LldR) and a RNA polymerase–capping enzyme fusion protein.

The project Hiveopolis reimagines beehives as biohybrid superorganisms by introducing living fungal materials and digital technologies into one living architecture — a buzzing honeybee colony. It pioneers a transdisciplinary approach to multispecies resilience and sustainable co-habitation by adapting shape and function, utilizing bio-inspired algorithms to negotiate material costs, time, energy and structural performance.