<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ye Z</submitter><funding>Chinese Academy of Medical Sciences (CAMS)</funding><funding>Novo Nordisk Fonden (Novo Nordisk Foundation)</funding><funding>Novo Nordisk</funding><funding>Vetenskapsrådet (Swedish Research Council)</funding><funding>Innovationsfonden (Innovation Fund Denmark)</funding><pagination>499-509</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11903336</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(3)</volume><pubmed_abstract>Single-cell proteomics (SCP) promises to revolutionize biomedicine by providing an unparalleled view of the proteome in individual cells. Here, we present a high-sensitivity SCP workflow named Chip-Tip, identifying >5,000 proteins in individual HeLa cells. It also facilitated direct detection of post-translational modifications in single cells, making the need for specific post-translational modification-enrichment unnecessary. Our study demonstrates the feasibility of processing up to 120 label-free SCP samples per day. An optimized tissue dissociation buffer enabled effective single-cell disaggregation of drug-treated cancer cell spheroids, refining overall SCP analysis. Analyzing nondirected human-induced pluripotent stem cell differentiation, we consistently quantified stem cell marker</pubmed_abstract><journal>Nature methods</journal><pubmed_title>Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomics.</pubmed_title><pmcid>PMC11903336</pmcid><funding_grant_id>2022-00323</funding_grant_id><funding_grant_id>CELFFI-2022-002843</funding_grant_id><funding_grant_id>2023-RC180-03</funding_grant_id><funding_grant_id>2022-I2M-2-004, 2023-I2M-2-005</funding_grant_id><funding_grant_id>NNF14CC0001</funding_grant_id><funding_grant_id>ERA-PerMed-JTC2022-OVA-PDM</funding_grant_id><funding_grant_id>NNF22OC0076899</funding_grant_id><funding_grant_id>NNF21OC0072070</funding_grant_id><pubmed_authors>Seth A</pubmed_authors><pubmed_authors>Joshi HJ</pubmed_authors><pubmed_authors>Guzman UH</pubmed_authors><pubmed_authors>Rodin S</pubmed_authors><pubmed_authors>Horning OB</pubmed_authors><pubmed_authors>van der Hoeven L</pubmed_authors><pubmed_authors>Huang H</pubmed_authors><pubmed_authors>Huang M</pubmed_authors><pubmed_authors>Sabatier P</pubmed_authors><pubmed_authors>Bache N</pubmed_authors><pubmed_authors>Lechner MY</pubmed_authors><pubmed_authors>Ye Z</pubmed_authors><pubmed_authors>Phlairaharn T</pubmed_authors><pubmed_authors>Li X</pubmed_authors><pubmed_authors>Olsen JV</pubmed_authors><pubmed_authors>Liu Z</pubmed_authors><pubmed_authors>Hartlmayr D</pubmed_authors><pubmed_authors>Grinnemo KH</pubmed_authors><pubmed_authors>Bekker-Jensen DB</pubmed_authors><pubmed_authors>Izaguirre F</pubmed_authors></additional><is_claimable>false</is_claimable><name>Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomics.</name><description>Single-cell proteomics (SCP) promises to revolutionize biomedicine by providing an unparalleled view of the proteome in individual cells. Here, we present a high-sensitivity SCP workflow named Chip-Tip, identifying >5,000 proteins in individual HeLa cells. It also facilitated direct detection of post-translational modifications in single cells, making the need for specific post-translational modification-enrichment unnecessary. Our study demonstrates the feasibility of processing up to 120 label-free SCP samples per day. An optimized tissue dissociation buffer enabled effective single-cell disaggregation of drug-treated cancer cell spheroids, refining overall SCP analysis. Analyzing nondirected human-induced pluripotent stem cell differentiation, we consistently quantified stem cell marker</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2025-04-03T23:56:53.035Z</modification><creation>2025-04-03T23:56:53.035Z</creation></dates><accession>S-EPMC11903336</accession><cross_references><pubmed>39820750</pubmed><doi>10.1038/s41592-024-02558-2</doi></cross_references></HashMap>