<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liao YC</submitter><funding>NCI NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>100491</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9944986</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(2)</volume><pubmed_abstract>Conventional proteomic approaches measure the averaged signal from mixed cell populations or bulk tissues, leading to the dilution of signals arising from subpopulations of cells that might serve as important biomarkers. Recent developments in bottom-up proteomics have enabled spatial mapping of cellular heterogeneity in tissue microenvironments. However, bottom-up proteomics cannot unambiguously define and quantify proteoforms, which are intact (i.e., functional) forms of proteins capturing genetic variations, alternatively spliced transcripts and posttranslational modifications. Herein, we described a spatially resolved top-down proteomics (TDP) platform for proteoform identification and quantitation directly from tissue sections. The spatial TDP platform consisted of a nanodroplet proce</pubmed_abstract><journal>Molecular &amp; cellular proteomics : MCP</journal><pubmed_title>Spatially Resolved Top-Down Proteomics of Tissue Sections Based on a Microfluidic Nanodroplet Sample Preparation Platform.</pubmed_title><pmcid>PMC9944986</pmcid><funding_grant_id>UG3 CA256959</funding_grant_id><funding_grant_id>P41 GM108569</funding_grant_id><funding_grant_id>UH3 CA256959</funding_grant_id><pubmed_authors>Zhou M</pubmed_authors><pubmed_authors>Zhu Y</pubmed_authors><pubmed_authors>Velickovic D</pubmed_authors><pubmed_authors>Sontag RL</pubmed_authors><pubmed_authors>Fulcher JM</pubmed_authors><pubmed_authors>Pasa-Tolic L</pubmed_authors><pubmed_authors>Liao YC</pubmed_authors><pubmed_authors>Bramer LM</pubmed_authors><pubmed_authors>Degnan DJ</pubmed_authors><pubmed_authors>Williams SM</pubmed_authors><pubmed_authors>Moore RJ</pubmed_authors><pubmed_authors>Zemaitis KJ</pubmed_authors><pubmed_authors>Velickovic M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Spatially Resolved Top-Down Proteomics of Tissue Sections Based on a Microfluidic Nanodroplet Sample Preparation Platform.</name><description>Conventional proteomic approaches measure the averaged signal from mixed cell populations or bulk tissues, leading to the dilution of signals arising from subpopulations of cells that might serve as important biomarkers. Recent developments in bottom-up proteomics have enabled spatial mapping of cellular heterogeneity in tissue microenvironments. However, bottom-up proteomics cannot unambiguously define and quantify proteoforms, which are intact (i.e., functional) forms of proteins capturing genetic variations, alternatively spliced transcripts and posttranslational modifications. Herein, we described a spatially resolved top-down proteomics (TDP) platform for proteoform identification and quantitation directly from tissue sections. The spatial TDP platform consisted of a nanodroplet proce</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Feb</publication><modification>2026-03-31T11:00:07.566Z</modification><creation>2025-04-04T19:00:29.578Z</creation></dates><accession>S-EPMC9944986</accession><cross_references><pubmed>36603806</pubmed><doi>10.1016/j.mcpro.2022.100491</doi></cross_references></HashMap>