This article explores how mass spectrometry and emerging analytical techniques are helping researchers decode the aging ...

Discover what glycan analysis can reveal about protein behavior and how it can be used to boost biologic performance and ...

In multiple experiments, C-a16 lipids, which contain a phenol group, outperformed LNPs used in currently available mRNA ...

Lipid kinases are enzymes that play a critical role in both cell signaling and membrane trafficking by phosphorylating lipid ...

Untargeted lipidomics analysis is widely performed using a variety of mass spectrometric methods. The original procedure, ...

A new research paper was published in Volume 16 of Oncotarget on June 25, 2025, titled "Hypoxia induced lipid droplet ...

In a scientific first, researchers from Vanderbilt University and the University of California, San Diego, have generated a ...

Algebraic structures and linear maps form a cornerstone in modern mathematics, underpinning areas as diverse as abstract algebra and functional analysis. Algebraic structures such as groups, rings ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

This is a well-written study that presents a solid genetic screen to identify regulators of adipose morphology and remodeling in zebrafish. The authors generated a rigorous screening platform based on ...

Antibody–siRNA conjugates (ARCs) are a type of promising drug modalities for cancer therapy. However, initial reports of ARCs present the gene knockdown effect only in limited tissues (e.g., muscles) ...

This important study uses data on over 56 million articles to examine the dynamics of interdisciplinarity and international collaborations in research journals. The data analytics used to quantify ...