Omics · study · 2026
SERIPH: A Two-Step Extraction Protocol for Selective Enrichment of Semi-Extractable RNAs
Listed in NCBI GEO
Conventional RNA extraction with acid guanidinium thiocyanate–phenol–chloroform (AGPC) reagents incompletely recovers a subset of transcripts, termed semi-extractable RNAs (seRNAs).
Description
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.
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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
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE319nnn/GSE319926 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE319926 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1425536 ncbi.nlm.nih.gov/bioproject/PRJNA1425536 ↗
project · from NCBI GEO
- PubMed 42350076 pubmed.ncbi.nlm.nih.gov/42350076 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Disease 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE319926 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |