<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/GSE319nnn/GSE319926/</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=GSE319926</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>SERIPH: A Two-Step Extraction Protocol for Selective Enrichment of Semi-Extractable RNAs</name><description>Conventional RNA extraction with acid guanidinium thiocyanate–phenol–chloroform (AGPC) reagents incompletely recovers a subset of transcripts, termed semi-extractable RNAs (seRNAs). This underrepresented RNA population includes architectural RNAs (arcRNAs), which scaffold membraneless organelles, as well as stress-induced downstream-of-gene readthrough transcripts (DoGs). Although our previously developed “improved” AGPC protocol incorporating physical disruption enhances seRNA recovery, it also co-extracts abundant, readily extractable RNAs, yielding mixed populations that hinder precise characterization of seRNAs. Here, we present SERIPH (Semi-Extractable RNA Isolation from the InterPHase), a simple two-step protocol that selectively enriches seRNAs by separating them from readily extractable RNA species. By depleting abundant extractable RNAs, SERIPH increases detection sensitivity, enabling the capture of weakly semi-extractable transcripts, including those of low abundance, that were overlooked by previous approaches. This increased sensitivity expands the detectable seRNA repertoire and reveals a broader genomic extent of DoG transcription than previously appreciated. Together, SERIPH provides a robust framework for high-resolution analysis of seRNA populations, advancing studies of RNA processing, transcriptional regulation, and RNA-mediated nuclear organization in stress responses and disease</description><dates><publication>2026/06/27</publication></dates><accession>GSE319926</accession><cross_references><GSM>GSM9529444</GSM><GSM>GSM9529445</GSM><GSM>GSM9529446</GSM><GSM>GSM9529447</GSM><GSM>GSM9529436</GSM><GSM>GSM9529437</GSM><GSM>GSM9529448</GSM><GSM>GSM9529438</GSM><GSM>GSM9529449</GSM><GSM>GSM9529439</GSM><GSM>GSM9529450</GSM><GSM>GSM9529440</GSM><GSM>GSM9529451</GSM><GSM>GSM9529441</GSM><GSM>GSM9529442</GSM><GSM>GSM9529443</GSM><GPL>34281</GPL><GSE>319926</GSE><taxon>Homo sapiens</taxon><PMID>[42350076]</PMID></cross_references></HashMap>