<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Shan Q</submitter><funding>Strategic Priority Research Program of the Chinese Academy of Sciences</funding><funding>Joint Innovation Team for Clinical &amp; Basic Research</funding><funding>National Key R&amp;D Program of China</funding><funding>Major Project of Guangzhou National Laboratory</funding><funding>National Natural Science Foundation of China</funding><funding>National Key Research and Development Program of China</funding><funding>Youth Innovation Promotion Association of the Chinese Academy of Sciences</funding><pagination>e07293</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12910429</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(10)</volume><pubmed_abstract>The heterogeneity of pulmonary cells affects their response to inhaled fine particles. However, the most critical responder cells in particle exposure still remain controversial, and their functional heterogeneity warrants detailed exploration. Herein, a gold nanoparticle model dual-labeled with sulfo-cyanine3 and Tag RNAs is developed, aiming to capture prominent fine particle-responsive cell subpopulations using fluorescence-activated cell sorting and single-cell RNA sequencing. Alveolar macrophages (AMs), recruited macrophages (recMacs), and interstitial macrophages (IMs) exhibited the strongest responsiveness to particles, among which 14 subsets are identified with partially overlapping yet distinct functions. Notably, AMs_3, AMs_7, and recMacs_4 subsets are highlighted in the particle</pubmed_abstract><journal>Small (Weinheim an der Bergstrasse, Germany)</journal><pubmed_title>Deciphering the Heterogeneity of Pulmonary Macrophages in Response to Fine Particles.</pubmed_title><pmcid>PMC12910429</pmcid><funding_grant_id>22406113</funding_grant_id><funding_grant_id>22021003</funding_grant_id><funding_grant_id>2024YFA1210902</funding_grant_id><funding_grant_id>22422610</funding_grant_id><funding_grant_id>2022042</funding_grant_id><funding_grant_id>XDB0750000</funding_grant_id><funding_grant_id>202407</funding_grant_id><funding_grant_id>GZNL2024A01028</funding_grant_id><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Ren J</pubmed_authors><pubmed_authors>Dong Z</pubmed_authors><pubmed_authors>Qi Y</pubmed_authors><pubmed_authors>Shan Q</pubmed_authors><pubmed_authors>Xu F</pubmed_authors><pubmed_authors>Ma J</pubmed_authors><pubmed_authors>Liu S</pubmed_authors><pubmed_authors>Zhang S</pubmed_authors><pubmed_authors>Li N</pubmed_authors><pubmed_authors>Zhou Z</pubmed_authors><pubmed_authors>Liu W</pubmed_authors></additional><is_claimable>false</is_claimable><name>Deciphering the Heterogeneity of Pulmonary Macrophages in Response to Fine Particles.</name><description>The heterogeneity of pulmonary cells affects their response to inhaled fine particles. However, the most critical responder cells in particle exposure still remain controversial, and their functional heterogeneity warrants detailed exploration. Herein, a gold nanoparticle model dual-labeled with sulfo-cyanine3 and Tag RNAs is developed, aiming to capture prominent fine particle-responsive cell subpopulations using fluorescence-activated cell sorting and single-cell RNA sequencing. Alveolar macrophages (AMs), recruited macrophages (recMacs), and interstitial macrophages (IMs) exhibited the strongest responsiveness to particles, among which 14 subsets are identified with partially overlapping yet distinct functions. Notably, AMs_3, AMs_7, and recMacs_4 subsets are highlighted in the particle</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Feb</publication><modification>2026-07-16T00:44:37.844Z</modification><creation>2026-07-09T10:25:53.6Z</creation></dates><accession>S-EPMC12910429</accession><cross_references><pubmed>41504080</pubmed><doi>10.1002/smll.202507293</doi></cross_references></HashMap>