Using a high-throughput fluorescence microscopy system and machine learning algorithms, oxidative stress-related changes in protein localization have been mapped by researchers from Japan. Furthermore ...

Simultaneous tagging of multiple genes with different fluorophores provides a proof of concept for the scalability of tagging all genes in the Caenorhabditis elegans genome.

Researchers developed a new machine learning method that, given a relevant amino acid sequence, can automatically predict the location of a protein in any human cell line down to the single-cell level ...

The first-in-human phase 1/2 study of TSN1611, a highly selective KRAS G12D inhibitor, in patients with advanced solid tumors. Seizure-related homolog 6 (SEZ6) expression and ctDNA methylation ...

Although numerous spatial transcriptomics analyses exist for evaluating RNA localization, these methods face several limitations. Cell fractionation techniques, such as density gradient centrifugation ...

Observing proteins with precision in living cells has been a challenge for researchers across various disciplines. Now, Stefan Kubicek, PhD, and his team at CEMM Research Center for Molecular Medicine ...

Localizatome contains comprehensive information about the stress-induced protein localization changes within living cells. It provides open access to subcellular protein localization data through a ...

CAMBRIDGE, MA – A protein located in the wrong part of a cell can contribute to several diseases, such as Alzheimer’s, cystic fibrosis, and cancer. But there are about 70,000 different proteins and ...