Evidence map›Paper›PMID 34160802›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Quantitation of Long Noncoding RNA Using Digital PCR.

Yu Ota, Irene K Yan, Tushar Patel

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
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

3 authors at 2 institutions in 1 country.

Yu OtaMayo Clinic, Jacksonville, FL, USA.
Irene K YanMayo Clinic, Jacksonville, FL, USA.
Tushar PatelMayo Clinic, Jacksonville, FL, USA.
Jacksonville College · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long noncoding RNAs (lncRNAs) are implicated in many physiological or disease processes and alterations in their expression may contribute to the development of various diseases. Accurate quantitation of lncRNA can be useful in measuring changes in expression in different settings such as in the circulation where the measurement of lncRNA may be useful as a biomarker of disease. However, the low levels of lncRNA expression require the use of highly sensitive detection technologies for accurate quantitation. Digital polymerase chain reaction (dPCR) is a sensitive method for absolute quantification of lncRNA and can be useful for measurement of gene expression when transcript levels are low. By providing a direct measurement without normalization, the use of dPCR may provide advantages for quantitation of low-abundance targets.

Indexed as

Gene ExpressionReal-Time Polymerase Chain ReactionBiomarkersCell Line, TumorData AnalysisGene Expression RegulationHumansRNA, Long NoncodingBiomarkersRNA, Long NoncodingDigital PCRGene expressionLong noncoding RNA

Identifiers

PMID34160802
OpenAlexW3177040915

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.