<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ma M</submitter><funding>NIDDK NIH HHS</funding><funding>NIA NIH HHS</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Institute on Aging</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Cancer Institute</funding><funding>NHLBI NIH HHS</funding><funding>U.S. Department of Defense</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Heart, Lung, and Blood Institute</funding><funding>NCI NIH HHS</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases</funding><pagination>7736</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9751300</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13(1)</volume><pubmed_abstract>Accurate, in-depth mapping of proteins on whole-tissue levels provides comprehensive insights into the spatially-organized regulatory processes/networks in tissues, but is challenging. Here we describe a micro-scaffold assisted spatial proteomics (MASP) strategy, based on spatially-resolved micro-compartmentalization of tissue using a 3D-printed micro-scaffold, capable of mapping thousands of proteins across a whole-tissue slice with excellent quantitative accuracy/precision. The pipeline includes robust tissue micro-compartmentalization with precisely-preserved spatial information, reproducible procurement and preparation of the micro-specimens, followed by sensitive LC-MS analysis and map generation by a MAsP app. The mapping accuracy was validated by comparing the MASP-generated maps of</pubmed_abstract><journal>Nature communications</journal><pubmed_title>In-depth mapping of protein localizations in whole tissue by micro-scaffold assisted spatial proteomics (MASP).</pubmed_title><pmcid>PMC9751300</pmcid><funding_grant_id>CA224434</funding_grant_id><funding_grant_id>W81XWH1910805</funding_grant_id><funding_grant_id>R01 AG068168</funding_grant_id><funding_grant_id>AG068168</funding_grant_id><funding_grant_id>R01 CA224434</funding_grant_id><funding_grant_id>DK124020</funding_grant_id><funding_grant_id>HL103411</funding_grant_id><funding_grant_id>R01 HL103411</funding_grant_id><funding_grant_id>U01 DK124020</funding_grant_id><pubmed_authors>An B</pubmed_authors><pubmed_authors>Rasam S</pubmed_authors><pubmed_authors>Ma M</pubmed_authors><pubmed_authors>Qian S</pubmed_authors><pubmed_authors>Xue C</pubmed_authors><pubmed_authors>Huo S</pubmed_authors><pubmed_authors>Qu J</pubmed_authors><pubmed_authors>Pu J</pubmed_authors><pubmed_authors>Zhang M</pubmed_authors><pubmed_authors>Zhu X</pubmed_authors><pubmed_authors>Shen S</pubmed_authors><pubmed_authors>Wang J</pubmed_authors></additional><is_claimable>false</is_claimable><name>In-depth mapping of protein localizations in whole tissue by micro-scaffold assisted spatial proteomics (MASP).</name><description>Accurate, in-depth mapping of proteins on whole-tissue levels provides comprehensive insights into the spatially-organized regulatory processes/networks in tissues, but is challenging. Here we describe a micro-scaffold assisted spatial proteomics (MASP) strategy, based on spatially-resolved micro-compartmentalization of tissue using a 3D-printed micro-scaffold, capable of mapping thousands of proteins across a whole-tissue slice with excellent quantitative accuracy/precision. The pipeline includes robust tissue micro-compartmentalization with precisely-preserved spatial information, reproducible procurement and preparation of the micro-specimens, followed by sensitive LC-MS analysis and map generation by a MAsP app. The mapping accuracy was validated by comparing the MASP-generated maps of</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2026-05-29T04:28:53.686Z</modification><creation>2024-11-13T23:25:48.755Z</creation></dates><accession>S-EPMC9751300</accession><cross_references><pubmed>36517484</pubmed><doi>10.1038/s41467-022-35367-2</doi></cross_references></HashMap>