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Comparison of MicroRNA Deep Sequencing of Matched Formalin-Fixed Paraffin-Embedded and Fresh Frozen Cancer Tissues

Overview of attention for article published in PLOS ONE, May 2013
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Title
Comparison of MicroRNA Deep Sequencing of Matched Formalin-Fixed Paraffin-Embedded and Fresh Frozen Cancer Tissues
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0064393
Pubmed ID
Authors

Wei Meng, Joseph P. McElroy, Stefano Volinia, Jeff Palatini, Sarah Warner, Leona W. Ayers, Kamalakannan Palanichamy, Arnab Chakravarti, Tim Lautenschlaeger

Abstract

MicroRNAs regulate several aspects of tumorigenesis and cancer progression. Most cancer tissues are archived formalin-fixed and paraffin-embedded (FFPE). While microRNAs are a more stable form of RNA thought to withstand FFPE-processing and degradation there is only limited evidence for the latter assumption. We examined whether microRNA profiling can be successfully conducted on FFPE cancer tissues using SOLiD ligation based sequencing. Tissue storage times (2-9 years) appeared to not affect the number of detected microRNAs in FFPE samples compared to matched frozen samples (paired t-test p>0.7). Correlations of microRNA expression values were very high across microRNAs in a given sample (Pearson's r = 0.71-0.95). Higher variance of expression values among samples was associated with higher correlation coefficients between FFPE and frozen tissues. One of the FFPE samples in this study was degraded for unknown reasons with a peak read length of 17 nucleotides compared to 21 in all other samples. The number of detected microRNAs in this sample was within the range of microRNAs detected in all other samples. Ligation-based microRNA deep sequencing on FFPE cancer tissues is feasible and RNA degradation to the degree observed in our study appears to not affect the number of microRNAs that can be quantified.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Russia 1 2%
Denmark 1 2%
Australia 1 2%
Unknown 59 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 27%
Student > Ph. D. Student 10 16%
Student > Bachelor 8 13%
Other 4 6%
Student > Master 4 6%
Other 11 17%
Unknown 9 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 29%
Agricultural and Biological Sciences 17 27%
Medicine and Dentistry 10 16%
Veterinary Science and Veterinary Medicine 4 6%
Chemical Engineering 1 2%
Other 4 6%
Unknown 9 14%
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 29 May 2013.
All research outputs
#15,272,611
of 22,711,242 outputs
Outputs from PLOS ONE
#130,175
of 193,913 outputs
Outputs of similar age
#120,778
of 195,181 outputs
Outputs of similar age from PLOS ONE
#3,137
of 4,999 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,913 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 4,999 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.