Evidence map›Paper›PMID 41751621›Full record

ArticleGenes2026

Transcriptome-Based Selection and Validation of Reference Genes for Gene Expression Analysis in

Qianyun Luo, Yue Liu, Yifan Wang, Guanghao Zhang, Jiafen Liu, Hongxin Li, Zhen Liang, Ying Liu, Long Bai, Sijia Liu

Abstract read
In one paragraph

Article in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qianyun LuoDepartment of Grassland Science, College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China.
Yue LiuDepartment of Grassland Science, College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China.
Yifan WangDepartment of Grassland Science, College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China.
Guanghao ZhangDepartment of Grassland Science, College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China.
Jiafen LiuDepartment of Grassland Science, College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China.
Hongxin LiDepartment of Grassland Science, College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China.
Zhen LiangDepartment of Grassland Science, College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China.
Ying LiuDepartment of Grassland Science, College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China.
Long BaiDepartment of Grassland Science, College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China.
Sijia LiuDepartment of Grassland Science, College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China.ORCID 0000-0002-3203-880X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgrounds

methodsIt is necessary to select and validate appropriate reference genes (RGs) for gene expression normalization by qRT-PCR in order to decipher the stress tolerance mechanism of this grass species. Therefore, eight candidate RGs were identified from transcriptome data of

resultsThe results showed that

conclusionOur study provided the first systematic evaluation of the most stable RG selection for qRT-PCR normalization in

Indexed as

Gene Expression ProfilingPoaceaeStress, PhysiologicalTranscriptomeDrought ResistanceDroughtsGene Expression Regulation, PlantPlant ProteinsReference StandardsPlant Proteinsdrought stressgene expressionqRT-PCR normalizationreference genesRoegneria ciliaris ‘Liao sheng’

Identifiers

PMID41751621
PMCPMC12940341

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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.