{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Makhmut A"],"funding":["Bundesministerium für Bildung und Forschung","Bundesministerium fur Bildung und Forschung Dienststelle Berlin"],"pagination":["100750"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11067455"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["23(5)"],"pubmed_abstract":["Spatial tissue proteomics integrating whole-slide imaging, laser microdissection, and ultrasensitive mass spectrometry is a powerful approach to link cellular phenotypes to functional proteome states in (patho)physiology. To be applicable to large patient cohorts and low sample input amounts, including single-cell applications, loss-minimized and streamlined end-to-end workflows are key. We here introduce an automated sample preparation protocol for laser microdissected samples utilizing the cellenONE robotic system, which has the capacity to process 192 samples in 3 h. Following laser microdissection collection directly into the proteoCHIP LF 48 or EVO 96 chip, our optimized protocol facilitates lysis, formalin de-crosslinking, and tryptic digest of low-input archival tissue samples. The "],"journal":["Molecular & cellular proteomics : MCP"],"pubmed_title":["An Automated and Fast Sample Preparation Workflow for Laser Microdissection Guided Ultrasensitive Proteomics."],"pmcid":["PMC11067455"],"funding_grant_id":["161L0222"],"pubmed_authors":["Seth A","Hartlmayr D","Qin D","Makhmut A","Coscia F"],"additional_accession":[]},"is_claimable":false,"name":"An Automated and Fast Sample Preparation Workflow for Laser Microdissection Guided Ultrasensitive Proteomics.","description":"Spatial tissue proteomics integrating whole-slide imaging, laser microdissection, and ultrasensitive mass spectrometry is a powerful approach to link cellular phenotypes to functional proteome states in (patho)physiology. To be applicable to large patient cohorts and low sample input amounts, including single-cell applications, loss-minimized and streamlined end-to-end workflows are key. We here introduce an automated sample preparation protocol for laser microdissected samples utilizing the cellenONE robotic system, which has the capacity to process 192 samples in 3 h. Following laser microdissection collection directly into the proteoCHIP LF 48 or EVO 96 chip, our optimized protocol facilitates lysis, formalin de-crosslinking, and tryptic digest of low-input archival tissue samples. The ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 May","modification":"2026-07-15T04:50:33.531Z","creation":"2026-06-29T03:09:50.982Z"},"accession":"S-EPMC11067455","cross_references":{"pubmed":["38513891"],"doi":["10.1016/j.mcpro.2024.100750"]}}