Plasma processing conditions substantially influence circulating microRNA biomarker levels.
Circulating, cell-free microRNAs (miRNAs) are promising candidate biomarkers, but optimal conditions for processing blood specimens for miRNA measurement remain to be established. Our previous work showed that the majority of plasma miRNAs are likely blood cell-derived. In the course of profiling lu...
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doaj-fd1a599a5df941fa8dff043b91cc94a32020-11-25T00:23:25ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0186e6479510.1371/journal.pone.0064795Plasma processing conditions substantially influence circulating microRNA biomarker levels.Heather H ChengHye Son YiYeonju KimEvan M KrohJason W ChienKeith D EatonMarc T GoodmanJonathan F TaitMuneesh TewariColin C PritchardCirculating, cell-free microRNAs (miRNAs) are promising candidate biomarkers, but optimal conditions for processing blood specimens for miRNA measurement remain to be established. Our previous work showed that the majority of plasma miRNAs are likely blood cell-derived. In the course of profiling lung cancer cases versus healthy controls, we observed a broad increase in circulating miRNA levels in cases compared to controls and that higher miRNA expression correlated with higher platelet and particle counts. We therefore hypothesized that the quantity of residual platelets and microparticles remaining after plasma processing might impact miRNA measurements. To systematically investigate this, we subjected matched plasma from healthy individuals to stepwise processing with differential centrifugation and 0.22 µm filtration and performed miRNA profiling. We found a major effect on circulating miRNAs, with the majority (72%) of detectable miRNAs substantially affected by processing alone. Specifically, 10% of miRNAs showed 4-30x variation, 46% showed 30-1,000x variation, and 15% showed >1,000x variation in expression solely from processing. This was predominantly due to platelet contamination, which persisted despite using standard laboratory protocols. Importantly, we show that platelet contamination in archived samples could largely be eliminated by additional centrifugation, even in frozen samples stored for six years. To minimize confounding effects in microRNA biomarker studies, additional steps to limit platelet contamination for circulating miRNA biomarker studies are necessary. We provide specific practical recommendations to help minimize confounding variation attributable to plasma processing and platelet contamination.http://europepmc.org/articles/PMC3676411?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Heather H Cheng Hye Son Yi Yeonju Kim Evan M Kroh Jason W Chien Keith D Eaton Marc T Goodman Jonathan F Tait Muneesh Tewari Colin C Pritchard |
spellingShingle |
Heather H Cheng Hye Son Yi Yeonju Kim Evan M Kroh Jason W Chien Keith D Eaton Marc T Goodman Jonathan F Tait Muneesh Tewari Colin C Pritchard Plasma processing conditions substantially influence circulating microRNA biomarker levels. PLoS ONE |
author_facet |
Heather H Cheng Hye Son Yi Yeonju Kim Evan M Kroh Jason W Chien Keith D Eaton Marc T Goodman Jonathan F Tait Muneesh Tewari Colin C Pritchard |
author_sort |
Heather H Cheng |
title |
Plasma processing conditions substantially influence circulating microRNA biomarker levels. |
title_short |
Plasma processing conditions substantially influence circulating microRNA biomarker levels. |
title_full |
Plasma processing conditions substantially influence circulating microRNA biomarker levels. |
title_fullStr |
Plasma processing conditions substantially influence circulating microRNA biomarker levels. |
title_full_unstemmed |
Plasma processing conditions substantially influence circulating microRNA biomarker levels. |
title_sort |
plasma processing conditions substantially influence circulating microrna biomarker levels. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2013-01-01 |
description |
Circulating, cell-free microRNAs (miRNAs) are promising candidate biomarkers, but optimal conditions for processing blood specimens for miRNA measurement remain to be established. Our previous work showed that the majority of plasma miRNAs are likely blood cell-derived. In the course of profiling lung cancer cases versus healthy controls, we observed a broad increase in circulating miRNA levels in cases compared to controls and that higher miRNA expression correlated with higher platelet and particle counts. We therefore hypothesized that the quantity of residual platelets and microparticles remaining after plasma processing might impact miRNA measurements. To systematically investigate this, we subjected matched plasma from healthy individuals to stepwise processing with differential centrifugation and 0.22 µm filtration and performed miRNA profiling. We found a major effect on circulating miRNAs, with the majority (72%) of detectable miRNAs substantially affected by processing alone. Specifically, 10% of miRNAs showed 4-30x variation, 46% showed 30-1,000x variation, and 15% showed >1,000x variation in expression solely from processing. This was predominantly due to platelet contamination, which persisted despite using standard laboratory protocols. Importantly, we show that platelet contamination in archived samples could largely be eliminated by additional centrifugation, even in frozen samples stored for six years. To minimize confounding effects in microRNA biomarker studies, additional steps to limit platelet contamination for circulating miRNA biomarker studies are necessary. We provide specific practical recommendations to help minimize confounding variation attributable to plasma processing and platelet contamination. |
url |
http://europepmc.org/articles/PMC3676411?pdf=render |
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