<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liang NE</submitter><funding>NIDDK NIH HHS</funding><pagination>540</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11273435</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13(7)</volume><pubmed_abstract>Foreign body response (FBR) is a universal reaction to implanted biomaterial that can affect the function and longevity of the implant. A few studies have attempted to identify targets for treating FBR through the use of single-cell RNA sequencing (scRNA-seq), though the generalizability of these findings from an individual study may be limited. In our study, we perform a meta-analysis of scRNA-seq data from all available FBR mouse studies and integrate these data to identify gene signatures specific to FBR across different models and anatomic locations. We identify subclusters of fibroblasts and macrophages that emerge in response to foreign bodies and characterize their signaling pathways, gene ontology terms, and downstream mediators. The fibroblast subpopulations enriched in the settin</pubmed_abstract><journal>Biology</journal><pubmed_title>Understanding the Foreign Body Response via Single-Cell Meta-Analysis.</pubmed_title><pmcid>PMC11273435</pmcid><funding_grant_id>K08 DK134871</funding_grant_id><pubmed_authors>Longaker MT</pubmed_authors><pubmed_authors>Liang NE</pubmed_authors><pubmed_authors>Parker JB</pubmed_authors><pubmed_authors>Januszyk M</pubmed_authors><pubmed_authors>Wan DC</pubmed_authors><pubmed_authors>Griffin M</pubmed_authors><pubmed_authors>Lu JM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Understanding the Foreign Body Response via Single-Cell Meta-Analysis.</name><description>Foreign body response (FBR) is a universal reaction to implanted biomaterial that can affect the function and longevity of the implant. A few studies have attempted to identify targets for treating FBR through the use of single-cell RNA sequencing (scRNA-seq), though the generalizability of these findings from an individual study may be limited. In our study, we perform a meta-analysis of scRNA-seq data from all available FBR mouse studies and integrate these data to identify gene signatures specific to FBR across different models and anatomic locations. We identify subclusters of fibroblasts and macrophages that emerge in response to foreign bodies and characterize their signaling pathways, gene ontology terms, and downstream mediators. The fibroblast subpopulations enriched in the settin</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jul</publication><modification>2026-04-08T19:21:21.053Z</modification><creation>2025-04-19T13:10:57.877Z</creation></dates><accession>S-EPMC11273435</accession><cross_references><pubmed>39056733</pubmed><doi>10.3390/biology13070540</doi></cross_references></HashMap>