<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE346nnn/GSE346097/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Equus caballus</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE346097</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Circulating Cell-Free RNA Reflects Immune-Associated and Airway Remodeling Signatures in Equine Asthma</name><description>This study presents the first comprehensive transcriptomic analysis of plasma cell-free RNA (cfRNA) in equine asthma (EA), a clinically relevant translational model for human asthma. We profiled cfRNA from 16 EA cases (including mastocytic, neutrophilic, and paucigranulocytic phenotypes) and 12 healthy controls using cfRNA-stabilized blood collection and UMI-based total RNA-seq optimized for low-input samples. For comparative molecular profiling, we sequenced bronchoalveolar lavage (BAL) fluid RNA (n=12: 7 EA, 5 controls) and whole blood RNA (n=11: 6 EA, 5 controls) from partially matched individuals, with 9 horses providing complete three-compartment sampling. RNA-seq libraries were prepared using the SMARTer Stranded Total RNA-Seq Pico Input Kit with UMIs (Takara Bio, v3/v4) and sequenced as paired-end 150 bp reads on an Illumina NovaSeq X platform. Our analysis revealed that cfRNA captures biologically relevant inflammatory and airway remodeling signatures characteristic of asthma, including altered immune cell composition and upregulation of key alarmins and remodeling-associated transcripts. These results establish cfRNA as a sensitive complementary approach for characterizing molecular perturbations in asthma pathogenesis and highlight its potential for biomarker discovery across inflammatory and allergic airway diseases.</description><dates><publication>2026/09/04</publication></dates><accession>GSE346097</accession><cross_references><GSM>GSM10024570</GSM><GSM>GSM10024571</GSM><GSM>GSM10024572</GSM><GSM>GSM10024573</GSM><GSM>GSM10024563</GSM><GSM>GSM10024564</GSM><GSM>GSM10024565</GSM><GSM>GSM10024566</GSM><GSM>GSM10024600</GSM><GSM>GSM10024567</GSM><GSM>GSM10024568</GSM><GSM>GSM10024601</GSM><GSM>GSM10024569</GSM><GSM>GSM10024580</GSM><GSM>GSM10024581</GSM><GSM>GSM10024582</GSM><GSM>GSM10024583</GSM><GSM>GSM10024584</GSM><GSM>GSM10024574</GSM><GSM>GSM10024575</GSM><GSM>GSM10024576</GSM><GSM>GSM10024577</GSM><GSM>GSM10024578</GSM><GSM>GSM10024579</GSM><GSM>GSM10024590</GSM><GSM>GSM10024591</GSM><GSM>GSM10024592</GSM><GSM>GSM10024593</GSM><GSM>GSM10024594</GSM><GSM>GSM10024551</GSM><GSM>GSM10024595</GSM><GSM>GSM10024585</GSM><GSM>GSM10024586</GSM><GSM>GSM10024587</GSM><GSM>GSM10024588</GSM><GSM>GSM10024589</GSM><GSM>GSM10024560</GSM><GSM>GSM10024561</GSM><GSM>GSM10024562</GSM><GSM>GSM10024596</GSM><GSM>GSM10024552</GSM><GSM>GSM10024597</GSM><GSM>GSM10024553</GSM><GSM>GSM10024554</GSM><GSM>GSM10024598</GSM><GSM>GSM10024599</GSM><GSM>GSM10024555</GSM><GSM>GSM10024556</GSM><GSM>GSM10024557</GSM><GSM>GSM10024558</GSM><GSM>GSM10024559</GSM><GPL>36047</GPL><GSE>346097</GSE><taxon>Equus caballus</taxon><PMID>[42644703]</PMID></cross_references></HashMap>