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Reposted by Sonja Fritzsche

Coscia Lab @coscialab.bsky.social · 05/06/2025

Thrilled to share our latest preprint describing an optimized spatial tissue proteomics workflow for the preparation and analysis of >100 proteomes / day at high spatial resolution. Kudos to @melissaklingeberg.bsky.social 🥳 and big thanks to all our collaborators! bit.ly/3SCARw4

bit.ly

An ultrasensitive spatial tissue proteomics workflow exceeding 100 proteomes per day

Achieving high-resolution spatial tissue proteomes requires careful balancing and integration of optimized sample processing, chromatography, and MS acquisition. Here, we present an advanced cellenONE...

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Reposted by Sonja Fritzsche

Coscia Lab @coscialab.bsky.social · 17/07/2025

Excited to introduce openDVP — an open-source framework to bring deep visual proteomics to the broader research community! It includes: – A simplified fast-track pipeline for easy adoption – An AI-powered option for advanced image & spatial analysis 👉 BioRxiv: bit.ly/44SBuHu 👉 Github: bit.ly/4eR3IqK

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Reposted by Sonja Fritzsche

Coscia Lab @coscialab.bsky.social · 20/03/2025

Our lab's newest preprint is out on deep spatial proteomics of ovarian cancer precursor lesions! We demonstrate how ultrasensitive discovery proteomics can shed light onto early carcinogenesis, uncover cell-of-origin signatures, and prioritize novel drug targets. bit.ly/41M7fke

biorxiv.org

Deep spatial proteomics of ovarian cancer precursor lesions delineates early disease changes and cell-of-origin signatures

High-grade serous ovarian cancer (HGSOC) is a devastating disease that is frequently detected at an advanced and incurable stage. Advances in ultrasensitive mass spectrometry-based spatial proteomics ...

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