Evidence map›Paper›PMID 42350076›Full record

ArticleRNA (New York, N.Y.)2026

SERIPH: a two-step extraction protocol for selective enrichment of semi-extractable RNAs.

Naoko Fujiwara, Junichi Iwakiri, Chao Zeng, Daiki Kohsho, Kiyoshi Asai, Michiaki Hamada, Tetsuro Hirose

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RNA (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Naoko FujiwaraGraduate School of Frontier Biosciences, The University of Osaka, Suita 565-0871, Japan.ORCID http://orcid.org/0000-0003-2366-9076
Junichi IwakiriGraduate School of Frontier Sciences, The University of Tokyo, Kashiwa 277-8562, Japan.ORCID http://orcid.org/0000-0002-4611-2142
Chao ZengFaculty of Science and Engineering, Waseda University, Tokyo 169-8555, Japan.ORCID http://orcid.org/0000-0002-6130-2438
Daiki KohshoGraduate School of Frontier Biosciences, The University of Osaka, Suita 565-0871, Japan.
Kiyoshi AsaiGraduate School of Frontier Sciences, The University of Tokyo, Kashiwa 277-8562, Japan.ORCID http://orcid.org/0000-0003-0909-4982
Michiaki HamadaFaculty of Science and Engineering, Waseda University, Tokyo 169-8555, Japan.ORCID http://orcid.org/0000-0001-9466-1034
Tetsuro HiroseGraduate School of Frontier Biosciences, The University of Osaka, Suita 565-0871, Japan hirose.tetsuro.fbs@osaka-u.ac.jp.ORCID http://orcid.org/0000-0003-1068-5464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 AGPC extraction method incorporating physical disruption, such as heating or needle shearing, enhances seRNA recovery, it also co-extracts abundant, readily extractable RNAs, resulting in mixed populations that hinder precise characterization. Here, we present SERIPH (

Indexed as

RNAAnimalsChloroformGuanidinesHumansPhenolRNA, MessengerSequence Analysis, RNAThiocyanatesChloroformGuanidinesguanidine thiocyanatePhenolRNARNA, MessengerThiocyanatesAGPCarchitectural RNAsmembraneless organellesreadthrough transcriptssemi-extractable RNAsstress responses

Identifiers

PMID42350076
PMCPMC13492121

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.