<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/GSE321nnn/GSE321693/</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><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE321693</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Diagnostic performance comparison of SE-SPTM-PCR and miRNA deep sequencing using 2-fold gradient dilutions of simulated HCMV viral infection samples</name><description>MicroRNAs are promising liquid biopsy biomarkers, but their clinical translation is hindered by detection challenges, including low abundance, high sequence similarity, and background interference. We developed SE-SPTM-PCR, a detection platform integrating selective miRNA enrichment using locked nucleic acid probes with specific probe terminal-mediated RT-qPCR. To evaluate the ability of the SE-SPTM-PCR platform to discriminate samples with only slight differences in load, we tested simulated specimens with two-fold serial dilutions using both SE-SPTM-PCR and miRNA sequencing. These simulated specimens were prepared by spiking HCMV viral culture supernatant (propagated in MRC5 cells) into plasma samples obtained from three groups of age- and sex-matched healthy donors (n=10 per group). The results demonstrated that the diagnostic performance of the SE-SPTM-PCR platform significantly outperformed that of miRNA sequencing.</description><dates><publication>2026/03/04</publication></dates><accession>GSE321693</accession><cross_references><GSM>GSM9549666</GSM><GSM>GSM9549688</GSM><GSM>GSM9549667</GSM><GSM>GSM9549689</GSM><GSM>GSM9549668</GSM><GSM>GSM9549669</GSM><GSM>GSM9549684</GSM><GSM>GSM9549685</GSM><GSM>GSM9549663</GSM><GSM>GSM9549664</GSM><GSM>GSM9549686</GSM><GSM>GSM9549687</GSM><GSM>GSM9549665</GSM><GSM>GSM9549680</GSM><GSM>GSM9549681</GSM><GSM>GSM9549682</GSM><GSM>GSM9549683</GSM><GSM>GSM9549677</GSM><GSM>GSM9549678</GSM><GSM>GSM9549679</GSM><GSM>GSM9549673</GSM><GSM>GSM9549674</GSM><GSM>GSM9549675</GSM><GSM>GSM9549676</GSM><GSM>GSM9549691</GSM><GSM>GSM9549692</GSM><GSM>GSM9549670</GSM><GSM>GSM9549671</GSM><GSM>GSM9549672</GSM><GSM>GSM9549690</GSM><GPL>24676</GPL><GSE>321693</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>