Evidence map›Paper›PMID 36899781›Full record

ArticleAnimals : an open access journal from MDPI2023

Transcriptome-Based Evaluation of Optimal Reference Genes for Quantitative Real-Time PCR in Yak Stomach throughout the Growth Cycle.

Qi Min, Lu Yang, Yu Wang, Yili Liu, Mingfeng Jiang

Full text read
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Qi MinInstitute of Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu 610041, China.ORCID 0000-0003-1270-0461
Lu YangCollege of Animal and Veterinary Sciences, Southwest Minzu University, Chengdu 610041, China.
Yu WangCollege of Animal and Veterinary Sciences, Southwest Minzu University, Chengdu 610041, China.
Yili LiuCollege of Animal and Veterinary Sciences, Southwest Minzu University, Chengdu 610041, China.
Mingfeng JiangCollege of Animal and Veterinary Sciences, Southwest Minzu University, Chengdu 610041, China.

Funding

Natural Science Foundation of Sichuan Province;The Sichuan Science and Technology Program 2021YFYZ0001;2021YFYZ0001;2021YFN0001
6 · The paper itself

Abstract

Efficient nutritional assimilation and energy metabolism in the stomachs of yaks contribute to their adaption to harsh environments. Accurate gene expression profile analysis will help further reveal the molecular mechanism of nutrient and energy metabolism in the yak stomach. RT-qPCR is regarded as an accurate and dependable method for analyzing gene expression. The selection of reference genes is essential to obtain meaningful RT-qPCR results, especially in longitudinal gene expression studies of tissues and organs. Our objective was to select and validate optimal reference genes from across the transcriptome as internal controls for longitudinal gene expression studies in the yak stomach. In this study, 15 candidate reference genes (CRGs) were determined according to transcriptome sequencing (RNA-seq) results and the previous literature. The expression levels of these 15 CRGs were quantified using RT-qPCR in the yak stomach, including the rumen, reticulum, omasum and abomasum at five stages: 0 days, 20 days, 60 days, 15 months and three years old (adult). Subsequently, the expression stabilities of these 15 CRGs were evaluated via four algorithms: geNorm, NormFinder, BestKeeper and the comparative C

Indexed as

reference geneRT-qPCRstomachtranscriptome-wideyak

Identifiers

PMID36899781
PMCPMC10000025

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read18
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.