<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/GSE347nnn/GSE347182/</Other></files><type>primary</type></body><statusCodeValue>200</statusCodeValue><statusCode>OK</statusCode></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=GSE347182</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Gradient-Free Isolation of Murine Pancreatic Islets for Single-Cell RNA Sequencing</name><description>Pancreatic islet isolation for single-cell RNA sequencing (scRNA-seq) requires extensive enzymatic and mechanical processing that may affect cell recovery and transcriptional state. We evaluated a practical gradient-free workflow for murine pancreatic islets from diabetic BKS.Cg-Dock7^m +/+ Lepr^db/J mice. The protocol combined intraductal collagenase perfusion, controlled digestion, stereomicroscope-guided manual islet selection without density-gradient purification, and gentle Accutase/EDTA dissociation. Compared with Ficoll-based purification, the gradient-free workflow omitted density-gradient preparation, gradient centrifugation, additional wash centrifugations, and associated transfer steps while yielding viable cells suitable for scRNA-seq. The resulting library met the applied QC criteria and retained the major endocrine populations. Stress-associated transcriptional differences between the two pooled libraries were descriptive only. Overall, the gradient-free workflow represents a feasible alternative to Ficoll-based purification for preparing murine pancreatic islets for scRNA-seq.</description><dates><publication>2026/09/30</publication></dates><accession>GSE347182</accession><cross_references><GSM>GSM10047090</GSM><GSM>GSM10047091</GSM><GPL>24247</GPL><GSE>347182</GSE><taxon>Mus musculus</taxon><PMID>[42776689]</PMID></cross_references></HashMap>