<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Makhmut A</submitter><funding>Bundesministerium für Bildung und Forschung</funding><funding>Bundesministerium fur Bildung und Forschung Dienststelle Berlin</funding><pagination>100750</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11067455</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(5)</volume><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 </pubmed_abstract><journal>Molecular &amp; cellular proteomics : MCP</journal><pubmed_title>An Automated and Fast Sample Preparation Workflow for Laser Microdissection Guided Ultrasensitive Proteomics.</pubmed_title><pmcid>PMC11067455</pmcid><funding_grant_id>161L0222</funding_grant_id><pubmed_authors>Seth A</pubmed_authors><pubmed_authors>Hartlmayr D</pubmed_authors><pubmed_authors>Qin D</pubmed_authors><pubmed_authors>Makhmut A</pubmed_authors><pubmed_authors>Coscia F</pubmed_authors></additional><is_claimable>false</is_claimable><name>An Automated and Fast Sample Preparation Workflow for Laser Microdissection Guided Ultrasensitive Proteomics.</name><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 </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 May</publication><modification>2026-07-15T04:50:33.531Z</modification><creation>2026-06-29T03:09:50.982Z</creation></dates><accession>S-EPMC11067455</accession><cross_references><pubmed>38513891</pubmed><doi>10.1016/j.mcpro.2024.100750</doi></cross_references></HashMap>