Evidence map›Paper›PMID 35592479›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2022

Identification of suitable reference genes for quantitative reverse transcription PCR in

Gangjun Zhao, Meng Wang, Yaqin Gan, Hao Gong, Junxing Li, Xiaoming Zheng, Xiaoxi Liu, Siying Zhao, Jianning Luo, Haibin Wu

Open access · greenAbstract read
In one paragraph

Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Gangjun ZhaoVegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China.
Meng WangGuangdong Key Laboratory for New Technology Research of Vegetables, Guangzhou, 510640 China.
Yaqin GanGuangdong Key Laboratory for New Technology Research of Vegetables, Guangzhou, 510640 China.
Hao GongVegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China.
Junxing LiVegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China.
Xiaoming ZhengVegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China.
Xiaoxi LiuVegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China.
Siying ZhaoGuangdong Key Laboratory for New Technology Research of Vegetables, Guangzhou, 510640 China.
Jianning LuoVegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China.
Haibin WuVegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China.ORCID 0000-0003-0491-1226
Guangdong Academy of Agricultural Sciences · CNKey Laboratory of Guangdong Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reverse transcription real-time quantitative PCR is widely used to quantify gene expression. Reference genes are usually used as internal controls to measure the target gene expression level. To date, there is no consensus on the use of systematically validated reference genes in different tissues of Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-022-01182-8.

Indexed as

LuffaPP2AReference genesRT-qPCRSex determinationSponge gourd

Identifiers

PMID35592479
PMCPMC9110621
OpenAlexW4225292436

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.