<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/GSE97nnn/GSE97141/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Mus musculus</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=GSE97141</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Deciphering the dynamic transcriptional and post-transcriptional networks of macrophages in the healthy heart and after myocardial injury [RNA-seq]</name><description>Macrophage plasticity has been studied in vitro, but transcriptional regulation upon injury is poorly understood. In this study, we generated a data set for genome-wide transcriptome and miRNome analysis of macrophages in the healthy heart and after myocardial injury.</description><dates><publication>2018/04/03</publication></dates><accession>GSE97141</accession><cross_references><GSM>GSM2552213</GSM><GSM>GSM2552202</GSM><GSM>GSM2552212</GSM><GSM>GSM2552211</GSM><GSM>GSM2552210</GSM><GSM>GSM2552206</GSM><GSM>GSM2552205</GSM><GSM>GSM2552204</GSM><GSM>GSM2552203</GSM><GSM>GSM2552209</GSM><GSM>GSM2552208</GSM><GSM>GSM2552207</GSM><GPL>11002</GPL><SRA>SRP102617</SRA><GSE>97141</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>