<HashMap><database>iProX</database><scores/><additional><omics_type>Proteomics</omics_type><submitter>Cheng Li</submitter><species>Mus Musculus</species><full_dataset_link>http://www.iprox.org/page/project.html?id=IPX0011427000</full_dataset_link><submitter_email>cheng_li@pku.edu.cn</submitter_email><submitter_affiliation>Peking University</submitter_affiliation><sample_protocol></sample_protocol><repository>iProX</repository><data_protocol></data_protocol></additional><is_claimable>false</is_claimable><name>Single-cell proteome atlas of aging mouse microglia</name><description>In this study, we established a high-throughput workflow for unbiased, simultaneous profiling of the single-cell proteome and cellular morphology, achieving high sensitivity and reproducibility. Using this workflow, we analyzed male mouse microglia sorted from hippocampus and prefrontal cortex at three distinct ages including 2, 14, and 24 months, generating a high-quality proteomic dataset (3,184 single cells after quality control; average of 1,339 protein groups per cell) with robust consistency.</description><dates><publication>Thu Mar 27 00:00:00 GMT 2025</publication></dates><accession>PXD062434</accession><cross_references><TAXONOMY>10090</TAXONOMY></cross_references></HashMap>