<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ryan DJ</submitter><funding>U.S. Department of Health and Human Services</funding><funding>NIDDK NIH HHS</funding><funding>NIAID NIH HHS</funding><funding>Burroughs Wellcome Fund</funding><funding>NIGMS NIH HHS</funding><pagination>7578-7585</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6652190</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>91(12)</volume><pubmed_abstract>The ability to target discrete features within tissue using liquid surface extractions enables the identification of proteins while maintaining the spatial integrity of the sample. Here, we present a liquid extraction surface analysis (LESA) workflow, termed microLESA, that allows proteomic profiling from discrete tissue features of ∼110 μm in diameter by integrating nondestructive autofluorescence microscopy and spatially targeted liquid droplet micro-digestion. Autofluorescence microscopy provides the visualization of tissue foci without the need for chemical stains or the use of serial tissue sections. Tryptic peptides are generated from tissue foci by applying small volume droplets (∼250 pL) of enzyme onto the surface prior to LESA. The microLESA workflow reduced the diameter of the sa</pubmed_abstract><journal>Analytical chemistry</journal><pubmed_title>MicroLESA: Integrating Autofluorescence Microscopy, In Situ Micro-Digestions, and Liquid Extraction Surface Analysis for High Spatial Resolution Targeted Proteomic Studies.</pubmed_title><pmcid>PMC6652190</pmcid><funding_grant_id>5P41 GM103391-07</funding_grant_id><funding_grant_id>P41 GM103391</funding_grant_id><funding_grant_id>U54 DK120058</funding_grant_id><funding_grant_id>R01 AI138581</funding_grant_id><funding_grant_id>P30 DK058404</funding_grant_id><funding_grant_id>K08AI113107</funding_grant_id><funding_grant_id>K08 AI113107</funding_grant_id><funding_grant_id>R01AI132560</funding_grant_id><funding_grant_id>1R01 AI138581-01A1</funding_grant_id><funding_grant_id>R01 AI132560</funding_grant_id><pubmed_authors>Ryan DJ</pubmed_authors><pubmed_authors>Putnam NE</pubmed_authors><pubmed_authors>Spraggins JM</pubmed_authors><pubmed_authors>Perry WJ</pubmed_authors><pubmed_authors>Wilde AD</pubmed_authors><pubmed_authors>Caprioli RM</pubmed_authors><pubmed_authors>Patterson NH</pubmed_authors><pubmed_authors>Weiss A</pubmed_authors><pubmed_authors>Cassat JE</pubmed_authors><pubmed_authors>Skaar EP</pubmed_authors></additional><is_claimable>false</is_claimable><name>MicroLESA: Integrating Autofluorescence Microscopy, In Situ Micro-Digestions, and Liquid Extraction Surface Analysis for High Spatial Resolution Targeted Proteomic Studies.</name><description>The ability to target discrete features within tissue using liquid surface extractions enables the identification of proteins while maintaining the spatial integrity of the sample. Here, we present a liquid extraction surface analysis (LESA) workflow, termed microLESA, that allows proteomic profiling from discrete tissue features of ∼110 μm in diameter by integrating nondestructive autofluorescence microscopy and spatially targeted liquid droplet micro-digestion. Autofluorescence microscopy provides the visualization of tissue foci without the need for chemical stains or the use of serial tissue sections. Tryptic peptides are generated from tissue foci by applying small volume droplets (∼250 pL) of enzyme onto the surface prior to LESA. The microLESA workflow reduced the diameter of the sa</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Jun</publication><modification>2026-05-04T01:12:11.772Z</modification><creation>2020-06-21T07:02:43Z</creation></dates><accession>S-EPMC6652190</accession><cross_references><pubmed>31149808</pubmed><doi>10.1021/acs.analchem.8b05889</doi></cross_references></HashMap>