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Identification of reference genes suitable for RT-qPCR studies of murine gastrulation and patterning

Overview of attention for article published in Mammalian Genome, August 2018
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Title
Identification of reference genes suitable for RT-qPCR studies of murine gastrulation and patterning
Published in
Mammalian Genome, August 2018
DOI 10.1007/s00335-018-9769-0
Pubmed ID
Authors

Kristen S. Barratt, Koula E. M. Diamand, Ruth M. Arkell

Abstract

Quantitative reverse transcriptase PCR (RT-qPCR), a powerful and efficient means of rapidly comparing gene expression between experimental conditions, is routinely used as a phenotyping tool in developmental biology. The accurate comparison of gene expression across multiple embryonic stages requires normalisation to reference genes that have stable expression across the time points to be examined. As the embryo and its constituent tissues undergo rapid growth and differentiation during development, reference genes known to be stable across some time points cannot be assumed to be stable across all developmental stages. The immediate post-implantation events of gastrulation and patterning are characterised by a rapid expansion in cell number and increasing specialisation of cells. The optimal reference genes for comparative gene expression studies at these specific stages have not been experimentally identified. In this study, the expression of five commonly used reference genes (H2afz, Ubc, Actb, Tbp and Gapdh) was measured across murine gastrulation and patterning (6.5-9.5 dpc) and analysed with the normalisation tools geNorm, Bestkeeper and Normfinder. The results, validated by RT-qPCR analysis of two genes with well-documented expression patterns across these stages, indicated the best strategy for RT-qPCR studies spanning murine gastrulation and patterning utilises the concurrent reference genes H2afz and Ubc.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 41%
Student > Master 4 24%
Researcher 2 12%
Professor 1 6%
Student > Bachelor 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 59%
Agricultural and Biological Sciences 3 18%
Immunology and Microbiology 1 6%
Medicine and Dentistry 1 6%
Unknown 2 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 August 2018.
All research outputs
#15,016,514
of 23,099,576 outputs
Outputs from Mammalian Genome
#914
of 1,131 outputs
Outputs of similar age
#198,800
of 331,391 outputs
Outputs of similar age from Mammalian Genome
#12
of 21 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,131 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.