Featured Research

from universities, journals, and other organizations

Mean New MicroRNA Data Analysis Method Gives Sharper Results

Date:
June 15, 2009
Source:
BioMed Central
Summary:
Our understanding of the importance of microRNAs in regulating gene expression is expanding, and with it our requirement for robust methods to measure their expression levels. Now a new method helps researchers to better understand the delicate interplay between differences in microRNA expression levels and their target genes.

Our understanding of the importance of microRNAs in regulating gene expression is expanding, and with it our requirement for robust methods to measure their expression levels. Now a new method published in Genome Biology helps researchers to better understand the delicate interplay between differences in microRNA expression levels and their target genes.

Following their highly cited method for the analysis of reverse transcription quantitative PCR (RT-qPCR) expression data for mRNA transcripts, published in Genome Biology in 2007, Jo Vandesompele of the Center for Medical Genetics, Ghent University Hospital, Belgium and colleagues have created an innovative, straightforward and universally applicable method for quantitative RT-PCR data normalization for microRNAs. The researchers also provide a workflow for proper data normalization of both large scale (whole miRNome) and small-scale microRNA profiling experiments in their paper.

Vandesompele's team profiled 430 microRNAs along with 18 small RNA controls for a number of independent tissue sample sets. They assessed the use of the mean expression value of all expressed microRNAs in a given sample as a normalization factor for microRNA real-time quantitative PCR data, and then compared this method with the currently adopted approach of relying on one or two small RNA controls.

The mean expression value outperforms the current normalization strategy by better reducing technical variation and more accurately appreciating biological changes. Furthermore, normalization using microRNAs that resemble the mean expression value is platform independent and closely mimics normalization using the mean expression value.

"The mean expression value of all expressed microRNAs performs better than one based on only those microRNAs that are expressed in all samples," says Vandesompele. "This suggests a more accurate representation of input RNA fluctuations when all microRNAs are considered."

"Changes in microRNA expression are often very subtle but biologically relevant," says Pieter Mestdagh, working on the method in Vandesompele's lab. "Because microRNAs regulate genes acting in different pathways, deregulated microRNA expression can trigger a cascade of events that alter the biology of the cell. As a consequence, a proper normalization strategy that enables the detection of small changes is of utmost importance, especially when dealing with heterogeneous patient samples."

Reverse transcription quantitative PCR (RT-qPCR) has become the method of choice for measuring gene expression levels in terms of accuracy and specificity, both for coding and non-coding RNAs. However, result accuracy is largely dependent on effective data normalization.


Story Source:

The above story is based on materials provided by BioMed Central. Note: Materials may be edited for content and length.


Journal Reference:

  1. Pieter Mestdagh, Pieter Van Vlierberghe, An De Weer, Daniel Muth, Frank Westermann, Frank Speleman and Jo Vandesompele. A novel and universal method for microRNA RT-qPCR data normalization. Genome Biology, (in press) [link]

Cite This Page:

BioMed Central. "Mean New MicroRNA Data Analysis Method Gives Sharper Results." ScienceDaily. ScienceDaily, 15 June 2009. <www.sciencedaily.com/releases/2009/06/090615203102.htm>.
BioMed Central. (2009, June 15). Mean New MicroRNA Data Analysis Method Gives Sharper Results. ScienceDaily. Retrieved September 22, 2014 from www.sciencedaily.com/releases/2009/06/090615203102.htm
BioMed Central. "Mean New MicroRNA Data Analysis Method Gives Sharper Results." ScienceDaily. www.sciencedaily.com/releases/2009/06/090615203102.htm (accessed September 22, 2014).

Share This



More Health & Medicine News

Monday, September 22, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Sierra Leone in Lockdown to Control Ebola

Sierra Leone in Lockdown to Control Ebola

AP (Sep. 21, 2014) Sierra Leone residents remained in lockdown on Saturday as part of a massive effort to confine millions of people to their homes in a bid to stem the biggest Ebola outbreak in history. (Sept. 20) Video provided by AP
Powered by NewsLook.com
Sierra Leone's Nationwide Ebola Curfew Underway

Sierra Leone's Nationwide Ebola Curfew Underway

Newsy (Sep. 20, 2014) Sierra Leone is locked down as aid workers and volunteers look for new cases of Ebola. Video provided by Newsy
Powered by NewsLook.com
Changes Found In Brain After One Dose Of Antidepressants

Changes Found In Brain After One Dose Of Antidepressants

Newsy (Sep. 19, 2014) A study suggest antidepressants can kick in much sooner than previously thought. Video provided by Newsy
Powered by NewsLook.com
Could Grief Affect The Immune Systems Of Senior Citizens?

Could Grief Affect The Immune Systems Of Senior Citizens?

Newsy (Sep. 19, 2014) The study found elderly people are much more likely to become susceptible to infection than younger adults going though a similar situation. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins