Evidence map›Paper›PMID 35614335›Full record

ArticleCommunications biology2022

Quantifying telomeric lncRNAs using PNA-labelled RNA-Flow FISH (RNA-Flow).

Iria González-Vasconcellos, María A Cobos-Fernández, Michael J Atkinson, José Fernandez-Piqueras, Javier Santos

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 42% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Mammalian telomeric RNA (TERRA) can be translated to produce valine-arginine and glycine-leucine dipeptide repeat proteins.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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

5 authors at 3 institutions in 2 countries.

Iria González-Vasconcellos *Genome Dynamics and Function Programme, Genome Decoding Research Unit, Centro de Biología Molecular Severo Ochoa (CBMSO), Madrid, Spain. iria.gonzalez@cbm.csic.es.ORCID 0000-0002-4688-5508
María A Cobos-Fernández *Genome Dynamics and Function Programme, Genome Decoding Research Unit, Centro de Biología Molecular Severo Ochoa (CBMSO), Madrid, Spain.
Michael J AtkinsonChair of Radiation Biology, Technical University of Munich, 81675, Munich, Germany.
José Fernandez-PiquerasGenome Dynamics and Function Programme, Genome Decoding Research Unit, Centro de Biología Molecular Severo Ochoa (CBMSO), Madrid, Spain.
Javier SantosGenome Dynamics and Function Programme, Genome Decoding Research Unit, Centro de Biología Molecular Severo Ochoa (CBMSO), Madrid, Spain.
Centro de Biología Molecular Severo Ochoa · ESHospital Universitario Fundación Jiménez Díaz · ESTechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we present a method to detect and quantify long non-coding RNAs, in particular those related to telomeres. By coupling the specificity of a peptide nucleic acid (PNA) probe with flow cytometry we have quantified cellular levels of TERRA and TERC lncRNAs in culture cell lines and PBMCs. This easy-to-use method appointed RNA-Flow allows reliable lncRNA quantification with broad applications in basic research and clinical diagnostics. In addition, the staining protocol presented here was proven useful for the detection and quantification of such lncRNAs on unfixed cells using confocal microscopy.

Indexed as

Peptide Nucleic AcidsRNA, Long NoncodingFlow CytometryTelomerePeptide Nucleic AcidsRNA, Long Noncoding

Identifiers

PMID35614335
PMCPMC9132901
OpenAlexW4281480826

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.