<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/GSE348nnn/GSE348131/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</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=GSE348131</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>A deep cellular atlas of the human ventral substantia nigra in Parkinson's identifies a genetic and molecular overlap with insulin resistance [ipsc-DaNs]</name><description>Parkinson’s disease (PD) is a complex neurodegenerative disorder characterised by selective neuronal loss. We integrate deep full-length single-nuclei sequencing of the human substantia nigra with novel genome-wide association studies (GWAS) identifying genetic and cellular drivers of PD. Genetic risk converges on AGTR1+ dopaminergic neurons and perineuronal oligodendrocytes (pODCs), both reduced in PD, as well as oligodendrocyte precursor cells, enriched among disease-disrupted intercellular interactions. AGTR1+ neurons represent a metabolically stressed state, characterised by renin-angiotensin system (RAS) and MAPK activation, oxidative stress, and mitochondrial dysfunction, rather than a distinct subtype. AGTR1+ neurons and pODCs link PD risk to metabolic traits; in pODCs, this association reflects insulin resistance with downregulated PI3K–AKT signalling.</description><dates><publication>2026/09/24</publication></dates><accession>GSE348131</accession><cross_references><GSM>GSM10066952</GSM><GSM>GSM10066953</GSM><GSM>GSM10066950</GSM><GSM>GSM10066951</GSM><GSM>GSM10066954</GSM><GSM>GSM10066955</GSM><GPL>24676</GPL><GSE>348131</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>