<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Vannan A</submitter><funding>NHLBI NIH HHS</funding><funding>NHGRI NIH HHS</funding><pubmed_abstract>The human lung is structurally complex, with a diversity of specialized epithelial, stromal and immune cells playing specific functional roles in anatomically distinct locations, and large-scale changes in the structure and cellular makeup of this distal lung is a hallmark of pulmonary fibrosis (PF) and other progressive chronic lung diseases. Single-cell transcriptomic studies have revealed numerous disease-emergent/enriched cell types/states in PF lungs, but the spatial contexts wherein these cells contribute to disease pathogenesis has remained uncertain. Using sub-cellular resolution image-based spatial transcriptomics, we analyzed the gene expression of more than 1 million cells from 19 unique lungs. Through complementary cell-based and innovative cell-agnostic analyses, we characteri</pubmed_abstract><journal>bioRxiv : the preprint server for biology</journal><pagination>2023.12.15.571954</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10760144</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Image-based spatial transcriptomics identifies molecular niche dysregulation associated with distal lung remodeling in pulmonary fibrosis.</pubmed_title><pmcid>PMC10760144</pmcid><funding_grant_id>R01 HG011886</funding_grant_id><funding_grant_id>R01 HL126176</funding_grant_id><funding_grant_id>K08 HL143051</funding_grant_id><funding_grant_id>R01 HL168556</funding_grant_id><funding_grant_id>T32 HL094296</funding_grant_id><funding_grant_id>P01 HL092870</funding_grant_id><funding_grant_id>R01 HL158906</funding_grant_id><funding_grant_id>R01 HL145372</funding_grant_id><pubmed_authors>Ware LB</pubmed_authors><pubmed_authors>Blackwell TS</pubmed_authors><pubmed_authors>Williams AL</pubmed_authors><pubmed_authors>Serezani AP</pubmed_authors><pubmed_authors>Kropski JA</pubmed_authors><pubmed_authors>Nichols DS</pubmed_authors><pubmed_authors>Negretti NM</pubmed_authors><pubmed_authors>McCall AS</pubmed_authors><pubmed_authors>McCarthy DJ</pubmed_authors><pubmed_authors>Vannan A</pubmed_authors><pubmed_authors>Walia R</pubmed_authors><pubmed_authors>Shim H</pubmed_authors><pubmed_authors>Calvi CL</pubmed_authors><pubmed_authors>Gokey JJ</pubmed_authors><pubmed_authors>Mee ED</pubmed_authors><pubmed_authors>Hirsh S</pubmed_authors><pubmed_authors>Taylor CJ</pubmed_authors><pubmed_authors>Sucre JM</pubmed_authors><pubmed_authors>Shaver CM</pubmed_authors><pubmed_authors>Hirsh J</pubmed_authors><pubmed_authors>Polosukhin VV</pubmed_authors><pubmed_authors>Bacchetta MJ</pubmed_authors><pubmed_authors>Banovich NE</pubmed_authors><pubmed_authors>Lyu R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Image-based spatial transcriptomics identifies molecular niche dysregulation associated with distal lung remodeling in pulmonary fibrosis.</name><description>The human lung is structurally complex, with a diversity of specialized epithelial, stromal and immune cells playing specific functional roles in anatomically distinct locations, and large-scale changes in the structure and cellular makeup of this distal lung is a hallmark of pulmonary fibrosis (PF) and other progressive chronic lung diseases. Single-cell transcriptomic studies have revealed numerous disease-emergent/enriched cell types/states in PF lungs, but the spatial contexts wherein these cells contribute to disease pathogenesis has remained uncertain. Using sub-cellular resolution image-based spatial transcriptomics, we analyzed the gene expression of more than 1 million cells from 19 unique lungs. Through complementary cell-based and innovative cell-agnostic analyses, we characteri</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Dec</publication><modification>2026-04-07T16:18:48.813Z</modification><creation>2026-04-07T15:15:07.976Z</creation></dates><accession>S-EPMC10760144</accession><cross_references><pubmed>38168317</pubmed><doi>10.1101/2023.12.15.571954</doi></cross_references></HashMap>