Deutsche Nationalbibliothek
metadata only
Spatial proteomic analysis in human Alzheimer's disease brains enables identification of microenvironment-dependent microglial cell states / Paula Sanchez-Molina, Dennis-Dominik Rosmus, Dillon Brownell, Mert Meral, Cavanagh Gohlich, Aditya Pratapa, Yaser Peymanfar, Alyssa Whitley, Yue Hou, Nadezhda Nikulina, Alina Bogachuk, Ellen Lara Bouchard, Aude Chiot, Heidrun Kuhrt, Peter Wieghofer, Randall Woltjer, Fabian Svara, Oliver Braubach, Bahareh Ajami
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Spatial proteomics of Alzheimer's disease-specific human microglial states.#9213
- Quantitation of Spatial Proteoforms in Alzheimer's Disease#422359
- Proteomic comparison of hippocampal neurofibrillary tangles in PART, intermediate Alzheimer's disease and advanced Alzheimer's disease.#425058
- Evaluation of [18F] PBR06 and PET as a Marker of Inflammation in Subjects With Neurological Conditions#889597
- Unveiling the procoagulant state in Alzheimer's disease: A novel PET imaging strategy.#340273
Record · ID 783936
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive