Evidence map›Paper›PMID 37719076›Full record

ArticleBio-protocol2023

Expression Stability Analysis of Candidate References for Normalization of RT-qPCR Data Using RefSeeker R package.

Patrick H D Petersen, Joanna Lopacinska-Jørgensen, Claus K Høgdall, Estrid V Høgdall

Abstract read
In one paragraph

Article in Bio-protocol, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Patrick H D PetersenDepartment of Pathology, Herlev Hospital, University of Copenhagen, Herlev, Denmark.
Joanna Lopacinska-JørgensenDepartment of Pathology, Herlev Hospital, University of Copenhagen, Herlev, Denmark.
Claus K HøgdallDepartment of Gynecology, The Juliane Marie Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Estrid V HøgdallDepartment of Pathology, Herlev Hospital, University of Copenhagen, Herlev, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When performing expression analysis either for coding RNA (e.g., mRNA) or non-coding RNA (e.g., miRNA), reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) is a widely used method. To normalize these data, one or more stable endogenous references must be identified. RefFinder is an online web-based tool using four almost universally used algorithms for assessing candidate endogenous references-delta-Ct, BestKeeper, geNorm, and Normfinder. However, the online interface is presently cumbersome and time consuming. We developed an R package, RefSeeker, which performs easy and straightforward RefFinder analysis by enabling raw data import and calculation of stability from each of the algorithms and provides data output tools to create graphs and tables. This protocol uses RefSeeker R package for fast and simple RefFinder stability analysis. Key features Perform stability analysis using five algorithms: Normfinder, geNorm, delta-Ct, BestKeeper, and RefFinder. Identification of endogenous references for normalization of RT-qPCR data. Create publication-ready graphs and tables output. Step-by-step guide dialog window for novice R users.

Indexed as

Coding and non-coding RNA expressionExpression stabilityNormalizationRefFinderR packageRT-qPCR

Identifiers

PMID37719076
PMCPMC10501918

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.