Overview
Writing in Nature Methods, Fabian Coscia and his team have reported OpenDVP, an open-source workflow designed to make Deep Visual Proteomics more accessible, customizable, and scalable.
Approach
OpenDVP establishes an open-source framework centered on Deep Visual Proteomics. The workflow is structured to permit laboratories to implement, adapt, and scale spatial proteomic routines within their experimental setups.
Findings
The workflow allows investigators to spatially map thousands of proteins inside individual cells as well as their immediate cellular environments. Critically, this multi-protein spatial mapping is conducted while preserving the native tissue context of the analyzed samples.
Why This Matters
By releasing OpenDVP as an open-source tool, the developers provide a framework that reduces technical hurdles for running Deep Visual Proteomics, facilitating the spatial characterization of thousands of proteins in intact tissue architecture.