Evidence map›Paper›PMID 28050855›Full record

ArticleAMB Express2017

Selection of reference genes from Shiraia bambusicola for RT-qPCR analysis under different culturing conditions.

Chen Zhang, Tong Li, Cheng-Lin Hou, Xiao-Ye Shen

Open access · goldAbstract read
In one paragraph

Article in AMB Express, 2017. 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
0.7field-weighted citation impact, top 32% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Chen ZhangCollege of Life Science, Capital Normal University, Beijing, 100048, People's Republic of China.
Tong LiCollege of Life Science, Capital Normal University, Beijing, 100048, People's Republic of China.
Cheng-Lin HouCollege of Life Science, Capital Normal University, Beijing, 100048, People's Republic of China. houchenglincn@yahoo.com.
Xiao-Ye ShenCollege of Life Science, Capital Normal University, Beijing, 100048, People's Republic of China. shenxiaoye2009@cnu.edu.cn.
Capital Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stable reference genes are necessary to analyse quantitative real-time reverse transcription PCR (qRT-PCR) data and determine the reliability of the final results. For further studies of the valuable fungus Shiraia bambusicola, the identification of suitable reference genes has become increasingly urgent. In this study, three conventional reference genes and nine novel candidates were evaluated under different light conditions (all-dark, all-light and 12-h light/dark) and in different media (rice medium, PD medium, and Czapek-Dox medium). Three popular software programs (geNorm, NormFinder and BestKeeper) were used to analyse these genes, and the final ranking was determined using RefFinder. SbLAlv9, SbJsn1, SbSAS1 and SbVAC55 displayed the best stability among the genes, while SbFYVE and SbPKI showed the worst. These emerging genes exhibited significantly better properties than the three existing genes under almost all conditions. Furthermore, the most reliable reference genes were identified separately under different nutrient and light conditions, which would help accessible to make the most of the existing data. In summary, a group of novel housekeeping genes from S. bambusicola with more stable properties than before was explored, and these results could also provide a practical approach for other filamentous fungi.

Indexed as

qRT-PCRReference genesReliabilityShiraia bambusicola

Identifiers

PMID28050855
PMCPMC5209326
OpenAlexW2563165342

What OpenQuestion holds

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LicenceCC BY
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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.