Scientists at King Abdullah University of Science and Technology (KAUST) have engineered tiny metal-organic frameworks (MOFs) to deliver a team of six proteins into living cells. Inside the cells, these proteins formed a nanoscale factory that successfully produced violacein, a natural bioactive compound with therapeutic potential. This breakthrough represents the most complex multiprotein system delivered into living cells to date and the first example of a 'protein pathway transplant'. Why it matters: This research offers an early demonstration of how future therapies might generate treatment molecules directly inside the body at disease sites, potentially leading to more precise and less toxic medical interventions.
KAUST researchers have identified a protein complex of HuR and YB1 that stabilizes messenger RNA during muscle-fiber formation. The complex protects RNA as it carries muscle-forming code through the cell. Further research aims to elucidate the individual roles of each protein in the stabilization process. Why it matters: Understanding this RNA-stabilizing complex could lead to new therapies for muscle recovery and the prevention of muscle-related pathologies.
KAUST researchers collaborated to identify molecular pathways for plant biofortification of vitamin A. A KAUST group demonstrated high pressure conversion of carbon dioxide into useful products. Another team designed a biosensor using metal oxide transistors to detect glucose in saliva. Why it matters: These projects highlight KAUST's contributions to biotechnology, environmental sustainability, and healthcare through advanced materials and molecular techniques.
A KAUST Rapid Research Response Team (R3T) is collaborating with healthcare stakeholders to combat COVID-19. Xin Gao and his Structural and Functional Bioinformatics (SFB) Group are developing an AI-based diagnosis pipeline from CT scans of COVID-19 patients. The AI pipeline aims to address the high false negative rates associated with nucleic acid detection. Why it matters: This research could improve COVID-19 diagnostics and potentially inform understanding of viral pathogenesis.
Natasa Przulj at the Barcelona Supercomputing Center is developing an AI framework that fuses multi-omic data to improve precision medicine. The framework uses graph-regularized non-negative matrix tri-factorization (NMTF) and network science algorithms for patient stratification, biomarker prediction, and drug repurposing. It is applied to diseases like cancer, Covid-19, and Parkinson's. Why it matters: This research can enable more personalized and effective treatments by leveraging complex biological data to understand disease mechanisms and tailor therapies.
KAUST researchers have determined the atomic 3D structure of a key protein involved in plant stress signaling using X-ray crystallography at the SOLEIL synchrotron in France. Postdoctoral fellow Umar Farook Shahul Hameed optimized a tiny crystal of the plant enzyme for over six months. The team used the EIGER 9M detector to capture the weak diffraction pattern from the crystal. Why it matters: Understanding the interactions between proteins that communicate plant stress could lead to engineering more stress-tolerant crops, enhancing food security.
KAUST researchers developed a statistical approach to improve the identification of cancer-related protein mutations by reducing false positives. The method uses Bayesian statistics to analyze protein domain data from tumor samples, accounting for potential errors due to limited data. The team tested their method on prostate cancer data, successfully identifying a known cancer-linked mutation in the DNA binding protein cd00083. Why it matters: This enhances the reliability of cancer research at the molecular level, potentially accelerating the discovery of new therapeutic targets.