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Gene expression differences between PAXgene and Tempus blood RNA tubes are highly reproducible between independent samples and biobanks

Overview of attention for article published in BMC Research Notes, March 2017
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Title
Gene expression differences between PAXgene and Tempus blood RNA tubes are highly reproducible between independent samples and biobanks
Published in
BMC Research Notes, March 2017
DOI 10.1186/s13104-017-2455-6
Pubmed ID
Authors

Anne Heidi Skogholt, Einar Ryeng, Sten Even Erlandsen, Frank Skorpen, Svanhild A. Schønberg, Pål Sætrom

Abstract

Gene expression profiling from blood is sensitive to technology choices. For example, the main blood RNA collection systems-the PAXgene and Tempus tubes-differently influence RNA expression signatures. The aim of this study was to establish a common RNA isolation protocol for these two systems and investigate if it could reduce the differences in gene expression between them. We collected identical blood samples on the PAXgene and Tempus systems and retrieved blood samples from two independent biobanks-NOWAC and HUNT3-which are based on PAXgene and Tempus, respectively. High-quality RNA was extracted from both sampling systems by using their original protocols and our common modified protocol, and were profiled on Illumina microarrays. Regardless of the protocol used, we found most of the measured transcripts to be differently affected by the two sampling systems. However, our modified protocol reduced the number of transcripts that were significantly differentially expressed between PAXgene and Tempus by approximately 50%. Expression differences between PAXgene and Tempus were highly reproducible both between protocols and between different independent sample sets (Pearson correlation 0.563-0.854 across 47323 probes). Moreover, the modified protocol increased the microRNA output of the system with lowest microRNA yield, the PAXgene system. Most transcripts are affected by the choice of sampling system, but these effects are highly reproducible between independent samples. We propose that by running a control experiment with samples on both systems in parallel with biologically relevant samples, researchers may adjust for technical differences between the sampling systems.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Master 8 16%
Student > Ph. D. Student 8 16%
Other 4 8%
Professor 3 6%
Other 6 12%
Unknown 10 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 24%
Medicine and Dentistry 8 16%
Neuroscience 4 8%
Agricultural and Biological Sciences 3 6%
Immunology and Microbiology 3 6%
Other 5 10%
Unknown 16 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 March 2017.
All research outputs
#20,411,380
of 22,961,203 outputs
Outputs from BMC Research Notes
#3,578
of 4,282 outputs
Outputs of similar age
#269,561
of 309,217 outputs
Outputs of similar age from BMC Research Notes
#42
of 49 outputs
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