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The Impact of Hemolysis on Cell-Free microRNA Biomarkers

Overview of attention for article published in Frontiers in Genetics, January 2013
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  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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2 X users
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3 patents
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1 peer review site

Citations

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295 Dimensions

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277 Mendeley
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Title
The Impact of Hemolysis on Cell-Free microRNA Biomarkers
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2013.00094
Pubmed ID
Authors

Michaela B. Kirschner, J.James B. Edelman, Steven C-H. Kao, Michael P. Vallely, Nico van Zandwijk, Glen Reid

Abstract

Cell-free microRNAs in plasma and serum have become a promising source of biomarkers for various diseases. Despite rapid progress in this field, there remains a lack of consensus regarding optimal quantification methods, reference genes, and quality control of samples. Recent studies have shown that hemolysis occurring during blood collection has substantial impact on the microRNA content in plasma/serum. To date, the impact of hemolysis has only been investigated for a limited number of microRNAs, mainly the red blood cell (RBC)-enriched miRs-16 and -451. In contrast, the effect of hemolysis on other microRNAs - in particular those proposed as biomarkers - has not been addressed. In this study we profiled the microRNA content of hemolyzed and non-hemolyzed plasma as well as RBCs to obtain a profile of microRNAs in the circulation affected or unaffected by hemolysis. Profiling by TaqMan Array Microfluidic Cards was used to compare three pairs of hemolyzed and non-hemolyzed plasma (with varying degrees of hemolysis) and one RBC sample. A total of 136 microRNAs were detectable in at least two of the samples, and of those 15 were at least twofold elevated in all three hemolyzed samples. This number increased to 88 microRNAs for the sample with the highest level of hemolysis, with all of these also detected in the RBC profile. Thus these microRNAs represent a large proportion of detectable microRNAs and those most likely to be affected by hemolysis. Several of the hemolysis-susceptible microRNAs (e.g., miRs-21, -106a, -92a, -17, -16) have also been previously proposed as plasma/serum biomarkers of disease, highlighting the importance of rigorous quality control of plasma/serum samples used for measurement of circulating microRNAs. As low-level hemolysis is a frequent occurrence during plasma/serum collection it is critical that this is taken into account in the measurement of any candidate circulating microRNA.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 277 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Austria 1 <1%
United Kingdom 1 <1%
Belgium 1 <1%
Denmark 1 <1%
Unknown 272 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 21%
Researcher 53 19%
Student > Bachelor 31 11%
Student > Master 30 11%
Student > Doctoral Student 15 5%
Other 38 14%
Unknown 52 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 78 28%
Agricultural and Biological Sciences 50 18%
Medicine and Dentistry 41 15%
Veterinary Science and Veterinary Medicine 6 2%
Pharmacology, Toxicology and Pharmaceutical Science 6 2%
Other 36 13%
Unknown 60 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 March 2021.
All research outputs
#6,069,883
of 22,903,988 outputs
Outputs from Frontiers in Genetics
#1,733
of 11,949 outputs
Outputs of similar age
#64,408
of 281,410 outputs
Outputs of similar age from Frontiers in Genetics
#74
of 319 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 11,949 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 281,410 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.