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 ...
Breast cancer is one of the most prevalent cancers in the world, with 2.3 million women diagnosed and 685,000 deaths globally in 2020. With the improvement of the level of diagnosis and treatment, ...
Genetic variants can affect protein function by driving aberrant subcellular localization. However, comprehensive analysis of how mutations promote tumor progression by influencing nuclear ...
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 ...
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.
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 ...
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 ...
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