Missense mutations in PTPN11, which encodes the protein tyrosine phosphatase SHP2, are common in several developmental disorders and cancers. While many mutations disrupt auto-inhibition and hyperacti...

Deal agreed to rejoin exchange programme in 2027, fulfilling Labour election manifesto pledge

Neutrophils infiltrate glioblastomas with the capacity to engage pro/anti tumoural responses. Here the authors developed proteomic workflows to stratify neutrophil heterogeneity by function. This work...

The number of spatial omics technologies being developed is increasing1. However, a missing tool is one that can locate proteins in tissues in an untargeted manner at high spatial resolution and coverage. Here we present in situ imaging proteomics via expansion (iPEX), which integrates isotropic tissue magnification2 with matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging. iPEX provides scalable spatial resolution down to the micrometre scale and substantially increases the sensitivity of protein identification by 10–100-fold. Using the retina as a model, iPEX enabled the construction of spatial proteomic maps with high precision, the visualization of single-cell layers and extrasomatic structures and the identification of colocalized proteins. iPEX was readily applied to diverse tissues, including brain, intestine, liver and organoids, detecting 600–1,500 proteins at 1–5-µm effective pixel size. The application of iPEX to depict spatial proteomic maps in bra

A uridine-sensitized CRISPR-Cas9 screening identifies demethoxy-CoQ as an alternative electron acceptor in the absence of CoQ, and NUDT5 as a regulator of de novo pyrimidine synthesis via its interact...

Koina is an open-source, online platform that simplifies access to machine learning models in proteomics, enabling easier integration into analysis tools and helping researchers adopt and reuse ML mod...

A preprint by Sadiku et al. characterizes neutrophil diversity in glioblastoma using a new workflow for single-cell proteomic profiling.