Evidence map›Paper›PMID 27877186›Full record

ArticleFrontiers in plant science2016

Selection of Reference Genes for RT-qPCR Analysis in

Chunxiao Yang, Evan L Preisser, Hongjun Zhang, Yong Liu, Liangying Dai, Huipeng Pan, Xuguo Zhou

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Selection and Validation of Stable Reference Genes for RT-qPCR inInternational journal of molecular sciences · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Chunxiao YangCollege of Plant Protection, Hunan Agricultural UniversityHunan, China; Institute of Plant Protection, Hunan Academy of Agricultural SciencesHunan, China; Department of Entomology, University of Kentucky, LexingtonKY, USA.
Evan L PreisserDepartment of Biological Sciences, University of Rhode Island, Kingston RI, USA.
Hongjun ZhangDepartment of Entomology, University of Kentucky, LexingtonKY, USA; Institute for the Control of Agrochemicals, Ministry of AgricultureBeijing, China.
Yong LiuInstitute of Plant Protection, Hunan Academy of Agricultural Sciences Hunan, China.
Liangying DaiCollege of Plant Protection, Hunan Agricultural University Hunan, China.
Huipeng PanDepartment of Entomology, University of Kentucky, LexingtonKY, USA; Department of Entomology, South China Agricultural University, Key Laboratory of Bio-Pesticide Innovation and Application of Guangdong ProvinceGuangzhou, China.
Xuguo ZhouDepartment of Entomology, University of Kentucky, Lexington KY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of genetically engineered plants that employ RNA interference (RNAi) to suppress invertebrate pests opens up new avenues for insect control. While this biotechnology shows tremendous promise, the potential for both non-target and off-target impacts, which likely manifest via altered mRNA expression in the exposed organisms, remains a major concern. One powerful tool for the analysis of these un-intended effects is reverse transcriptase-quantitative polymerase chain reaction, a technique for quantifying gene expression using a suite of reference genes for normalization. The seven-spotted ladybeetle

Indexed as

Coccinella septempunctataenvironmental risk assessmentplant incorporated protectantreference geneRNAi transgenic plantsRT-qPCR

Identifiers

PMID27877186
PMCPMC5099537

What OpenQuestion holds

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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.