{"database":"bioimages","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":[null],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-BIAD1523"],"repository":["bioimages"],"figure_sub":["Specimen","Image analysis","Study Component","organisation","Biosample","Associations","Image acquisition"],"pubmed_authors":["Sophia Mädler","Florian A Rosenberger","Matthias Mann"],"additional_accession":[]},"is_claimable":false,"name":"Deep Visual Proteomics maps proteotoxicity in a genetic liver disease","description":"Protein misfolding diseases, including alpha-1 antitrypsin deficiency (AATD), pose significant health challenges, with their cellular progression still poorly understood. We utilize spatial proteomics by mass spectrometry and machine learning to map AATD in human liver tissue. Combining Deep Visual Proteomics (DVP) with single-cell analysis, we probe intact patient biopsies to resolve molecular events during hepatocyte stress in pseudo-time across fibrosis stages. We achieve unprecedented proteome depth of up to 4,300 proteins from a third of a single cell in formalin-fixed, paraffin-embedded (FFPE) tissue. This dataset revealed a potentially clinically actionable peroxisomal upregulation that precedes the canonical unfolded protein response. Our single-cell proteomics data show alpha-1 an","dates":{"release":"2025-02-18T00:00:00Z","modification":"2025-02-19T18:39:14.041Z","creation":"2024-12-16T15:04:56.407Z"},"accession":"S-BIAD1523","cross_references":{}}