<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/GSE328nnn/GSE328024/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Genomics</omics_type><species>Homo sapiens</species><gds_type>Non-coding RNA profiling by high throughput sequencing</gds_type><gds_type> Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE328024</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>A multi-omic dataset of cellular and microRNA profiles in human breast milk across a spectrum of gestational ages</name><description>Breast milk composition dynamically adapts to factors like gestational age at birth. This multi-omics dataset integrates single‑cell RNA sequencing and exosomal miRNA profiles from the same breast milk samples, capturing cellular and molecular transformations that meet the developmental needs of preterm and term infants. It provides a unique resource for investigating maternal‑neonatal interactions, personalized nutrition, and infant development across cellular and regulatory dimensions.</description><dates><publication>2026/04/15</publication></dates><accession>GSE328024</accession><cross_references><GSM>GSM9670469</GSM><GSM>GSM9670479</GSM><GSM>GSM9670468</GSM><GSM>GSM9670478</GSM><GSM>GSM9670467</GSM><GSM>GSM9670477</GSM><GSM>GSM9670476</GSM><GSM>GSM9670475</GSM><GSM>GSM9670474</GSM><GSM>GSM9670473</GSM><GSM>GSM9670472</GSM><GSM>GSM9670471</GSM><GSM>GSM9670470</GSM><GSM>GSM9670480</GSM><GPL>24676</GPL><GPL>23227</GPL><GSE>328024</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>