Selective Reduction of Esters to Access Aldehydes Using Fiddler Crab-Type Boranes.

The partial reduction of esters to aldehydes is a fundamentally important transformation for the synthesis of numerous fine chemicals and consumer goods. However, despite the many efforts, limitations have persisted, such as competing overreduction, low reproducibility, use of exigent reaction conditions and hazardous chemicals. Here, we report a novel catalyst family with a unique steric design which promotes the catalytic partial reduction of esters with unprecedented, near-perfect selectivity and efficiency.

An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse.

Background: Clinical data warehouses provide harmonized access to healthcare data for medical researchers. Informatics for Integrating Biology and the Bedside (i2b2) is a well-established open-source solution with the major benefit that data representations can be tailored to support specific use cases. These data representations can be defined and improved via an iterative approach together with domain experts and the medical researchers using the platform.

Separation and Purification of CHO Secretome and Extracellular Vesicles for Proteome Analysis.

For decades, host cell proteins (HCPs) have been investigated as putative contaminants in downstream processing of biopharmaceutical products of Chinese hamster ovary (CHO) cells. However, little is still known about the composition of the entire protein and vesicle environment in CHO cultivations. Ever evolving mass spectrometry techniques allow more and more insights into cell-cell communication processes and the composition of extracellular matrix, proteases, and further actively segregated compounds such as extracellular vesicles (EVs).

MiRNA Chaining for Efficient Stable Overexpression to Improve Protein Quantity and Quality in CHO Cells.

MicroRNAs (miRNAs), small noncoding RNAs with a length of about 22 nucleotides, harbor the potential to be powerful tools for the genetic engineering of production cell lines like Chinese hamster ovary (CHO) cells. Their ability to regulate multiple targets at once and their potential to fine-tune effect strengths contrast with classical engineering approaches. However, most studies of miRNAs rely on transiently flooding the cells with miRNA mimics.

Privacy Risk Assessment for Synthetic Longitudinal Health Data.

Introduction: A modern approach to ensuring privacy when sharing datasets is the use of synthetic data generation methods, which often claim to outperform classic anonymization techniques in the trade-off between data utility and privacy. Recently, it was demonstrated that various deep learning-based approaches are able to generate useful synthesized datasets, often based on domain-specific analyses. However, evaluating the privacy implications of releasing synthetic data remains a challenging problem, especially when the goal is to conform with data protection guidelines.