<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/GSE305nnn/GSE305525/</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=GSE305525</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Ly6C monocyte subsets transcriptome analysis from control and diabetes mice</name><description>Monocytes (MC) can be classified as inflammatory and anti-inflammatory subsets. Inflammatory MC subset polarization is a hallmark of systemic and tissue inflammatory in diabetes. The underlying molecular mechanism remains unclear. This study aims to explore molecule targets and signaling which determinate immunological features in MC subsets. C57/BL6 and diabetes mice (n=5) were fed a normal chow diet. C57/BL6 mice on rodent chaw were used as CT, C57/BL6 mice treated with streptozotocin (STZ, intraperitoneally, 50mg/kg per day for 5 successive days at the age of 8 weeks) as T1DM, and db/db mice with homozygous mutation of leptin receptor as T2DM. Animals were sacrificed at 20-22 weeks of age for blood collection after euthanization. Blood Ly6Chigh and Ly6Clow MC subsets from control and diabetes mice were isolated by flow cytometry sorting and subjected for bulk high-throughput RNA-sequencing.</description><dates><publication>2026/05/27</publication></dates><accession>GSE305525</accession><cross_references><GSM>GSM9178750</GSM><GSM>GSM9178745</GSM><GSM>GSM9178746</GSM><GSM>GSM9178743</GSM><GSM>GSM9178744</GSM><GSM>GSM9178749</GSM><GSM>GSM9178747</GSM><GSM>GSM9178748</GSM><GPL>21103</GPL><GPL>19057</GPL><GSE>305525</GSE><taxon>Mus musculus</taxon><PMID>[42183265]</PMID></cross_references></HashMap>