qPCR NEWS - July 2012 - focus on microRNA
qPCR NEWS - July 2012 - focus on microRNA
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Dear researcher,
dear Gene Quantification page reader,
Our newsletter informs about the latest news in quantitative real-time PCR =
(qPCR and RT-qPCR), which are compiled and summarised on the=20
Gene Quantification homepage. The focus of this newsletter issue is:
* Update on integrated analysis of microRNA and mRNA expression - http://in=
tegrated-analysis.Gene-Quantification.info
* Update of new microRNA reviews and interesting microRNA normalisation pap=
ers - http://microRNA.Gene-Quantification.info
* Second announcement qPCR & NGS Symposium in March 2013 - http://www.qPCR-=
NGS-2013.net=20
* GenEx - a powerful tool For qPCR data analysis - download a free trial ve=
rsion - http://GenEx.gene-quantification.info
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If this newsletter is not displayed correctly by your email client, please=
use following http://qPCRnews.gene-quantification.info
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Quantification of miRNA-mRNA interactions
Muniategui A, Nogales-Cadenas R, V=C3=A1zquez M, L Aranguren X, Agirre X, L=
uttun A, Prosper F, Pascual-Montano A, Rubio A.
Group of Bioinformatics, CEIT and TECNUN, University of Navarra, San Sebast=
ian, Spain.
PLoS One. 2012;7(2):e30766. Epub 2012 Feb 14.
There is also a web-based tool for human miRNAs at http://talasso.cnb.csic.=
es
miRNAs are small RNA molecules (' 22nt) that interact with their correspond=
ing target mRNAs inhibiting the translation of the mRNA into proteins and c=
leaving the target mRNA. This second effect diminishes the overall expressi=
on of the target mRNA. Several miRNA-mRNA relationship databases have been =
deployed, most of them based on sequence complementarities. However, the nu=
mber of false positives in these databases is large and they do not overlap=
completely. Recently, it has been proposed to combine expression measureme=
nt from both miRNA and mRNA and sequence based predictions to achieve more =
accurate relationships. In our work, we use LASSO regression with non-posit=
ive constraints to integrate both sources of information. LASSO enforces th=
e sparseness of the solution and the non-positive constraints restrict the =
search of miRNA targets to those with down-regulation effects on the mRNA e=
xpression. We named this method TaLasso (miRNA-Target LASSO).We used TaLass=
o on two public datasets that have paired expression levels of human miRNAs=
and mRNAs. The top ranked interactions recovered by TaLasso are especially=
enriched (more than using any other algorithm) in experimentally validated=
targets. The functions of the genes with mRNA transcripts in the top-ranke=
d interactions are meaningful. This is not the case using other algorithms.=
TaLasso is available as Matlab or R code. There is also a web-based tool fo=
r human miRNAs at http://talasso.cnb.csic.es
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Joint analysis of miRNA and mRNA expression data
Muniategui A, Pey J, Planes F, Rubio A.
Brief Bioinform. 2012 Jun 12.
miRNAs are small RNA molecules ('22=E2=80=89nt) that interact with their ta=
rget mRNAs inhibiting translation or/and cleavaging the target mRNA. This i=
nteraction is guided by sequence complentarity and results in the reduction=
of mRNA and/or protein levels. miRNAs are involved in key biological proce=
sses and different diseases. Therefore, deciphering miRNA targets is crucia=
l for diagnostics and therapeutics. However, miRNA regulatory mechanisms ar=
e complex and there is still no high-throughput and low-cost miRNA target s=
creening technique. In recent years, several computational methods based on=
sequence complementarity of the miRNA and the mRNAs have been developed. H=
owever, the predicted interactions using these computational methods are in=
consistent and the expected false positive rates are still large. Recently,=
it has been proposed to use the expression values of miRNAs and mRNAs (and=
/or proteins) to refine the results of sequence-based putative targets for =
a particular experiment. These methods have shown to be effective identifyi=
ng the most prominent interactions from the databases of putative targets. =
Here, we review these methods that combine both expression and sequence-bas=
ed putative targets to predict miRNA targets.
More papers about the integrated analysis of microRNA and mRNA expression =
=3D> http://integrated-analysis.Gene-Quantification.info
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New microRNA reviews
Technology features, pitfalls and recommendations for microRNA expression p=
rofiling
http://microRNA.Gene-Quantification.info
- MicroRNA profiling: approaches and considerations
- The widespread regulation of microRNA biogenesis, function and decay
- Strengths and limitations of laboratory procedures for microRNA detection
- Editorial - Studying microRNAs in the brain: technical lessons learned fr=
om the first ten years
- Pitfalls and recommendations for microRNA expression analysis using qPCR
- Potential pitfalls in microRNA profiling
- Technolgy Feature - MicroRNA profiling: separating signal from noise
- How Do MicroRNAs Regulate Gene Expression?
- Normalization strategies for microRNA profiling experiments: a 'normal' w=
ay to a hidden layer of complexity?
- The microcosmos of cancer
- miRNAs in human cancer
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New interesting microRNA normalisation papers
http://microRNA.Gene-Quantification.info
- Overview and workflow in microRNA normalisation
- Whole-Genome RT-qPCR MicroRNA Expression Profiling
- Profound Effect of Profiling Platform and Normalization Strategy on Detec=
tion of Differentially Expressed MicroRNAs - A Comparative Study
- Identification of reference microRNAs and suitability of archived hemopoi=
etic samples for robust microRNA expression profiling
- Identification of suitable reference genes for qPCR analysis of serum mic=
roRNA in gastric cancer patients
- Suitable reference genes for relative quantification of miRNA expression =
in prostate cancer
- Comprehensive human adipose tissue mRNA and microRNA endogenous control s=
election for quantitative real-time-PCR normalization
- MicroRNA expression profiling to identify and validate reference genes fo=
r relative quantification in colorectal cancer
- miRNA expression profiling - from reference genes to global mean normaliz=
ation
- Identification by Real-time PCR of 13 mature microRNAs differentially exp=
ressed in colorectal cancer and non-tumoral tissues
- Expression profiling of microRNA using real-time quantitative PCR, how to=
use it and what is available
- A novel and universal method for microRNA RT-qPCR data normalization
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Second announcement qPCR & NGS Symposium in Freising-Weihenstephan
18-22 March 2013
http://www.qPCR-NGS-2013.net
Download the latest Event Flyer =3D> http://tinyurl.com/qPCR-NGS-2013
On behalf of the Organisation Committee and the Scientific Board it is a gr=
eat pleasure to invite you to the 6th International qPCR & NGS 2013 Event. =
The event is divided in a 3-day scientific Symposium with an Industrial Exh=
ibition and various 2-day Application Workshop to be held at the Center of =
Life Science in Freising Weihenstephan, Technische Universit=C3=A4t M=C3=BC=
nchen (Germany). The great international interest in the previous meetings =
( qPCR 2004 to qPCR 2011 ) led us to the decision to repeat the Symposium i=
n spring 2013. We expect 500-600 participants coming from all over the worl=
d, in 2011 we could welcome participants from 56 contries, and roughly 30-4=
0 international companies in the qPCR Industrial Exhibition.
We have set the date for the qPCR & NGS 2013 Event to 18th - 22nd March 201=
3. The event location is the central lecture hall complex and the foyer at =
TUM (Technical University of Munich) in Freising Weihenstephan, Germany (Go=
ogle Maps link or Google Earth link). The TUM and the Biotech region around=
Munich is part of the largest Biotech cluster in Europe, located close to =
the Munich airport in the heart of Bavaria.
The focus of the qPCR & NGS 2013 Event will be on: Next Generation Thinki=
ng in Molecular Diagnostics
Leading academic researchers and industrial contributors in the field will =
participate in the symposium, which will be an arena for fruitful discussio=
ns between researchers of different backgrounds. The Symposium Talks, Poste=
r Sessions, Industrial Exhibition and associated qPCR & NGS Application Wor=
kshops offer an overview of the present knowledge and future developments i=
n qPCR, next generation sequencing and gene expression measurement technolo=
gy and its wide applications in research.
The symposium will focus on 70 lectures and a huge poster exhibition will b=
e presented by internationally recognised experts in their field. The empha=
sis will be on unbiased, didactic information exchange. Internationally ren=
own speakers will be participating in a lively and exciting programme enabl=
ing the valuable exchange of information in the qPCR and Next Generation Se=
quencing field. One third of the talks will be presented by selected invite=
d speakers, one third will be selected from the submitted abstracts and one=
third will be presented by qPCR & NGS related company R&D representatives.=
All scientific contributions will be published in the Symposium Proceeding=
s (ISBN to be announced).
Full papers from selected invited academic and industrial speakers and appl=
ication notes from industrial speakers will be published in a METHODS speci=
al issue =E2=80=9CTranscriptional Biomarkers=E2=80=9D edited by Michael W.=
Pfaffl (published January 2013). At the meeting all participants will get=
a free hard cover of this special Methods issue. Please have a look to ou=
r previous issue =3D> =E2=80=9CThe ongoing evolution of qPCR=E2=80=9D METH=
ODS special qPCR Vol 50 issue 4 (April 2010)
Please register using the Internet based ConfTool registration and submissi=
on platform =3D> http://registration.qPCR-NGS-2013.net
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Symposium Talk and Poster sessions:
http://sessions.qpcr-ngs-2013.net/
- Main Topic: Molecular diagnostics
- Main Topic: Next Generation Sequencing (NGS)
- Main Topic: Transcriptional Biomarkers
- High throughput analysis in qPCR
- Systems biology
- Single-cells diagnostics
- MIQE & QM strategies in qPCR
- non-coding RNAs - microRNA, siRNA, long non-coding RNAs
- Digital PCR & Nano-fluidics
- Pre-analytical Steps
- BioStatistics & BioInformatics
- qPCR & NGS data analysis
- Lunch Seminars:
- qBASEplus - data analysis lunch seminar
- GenEx - data analysis lunch seminar
- NGS data analysis lunch seminars
- more to be announced........
View our qPCR 2011 event trailer on YouTube =3D> http://www.youtube.com/wat=
ch?v=3Dcp8WwPyLW8Y
Download the latest Event Flyer =3D> http://tinyurl.com/qPCR-NGS-2013
Please register using the Internet based ConfTool registration and submissi=
on platform =3D> http://registration.qPCR-NGS-2013.net
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GenEx 5 - A Powerful Tool For qPCR Data Analysis
Download a free trail version here =3D> http://GenEx.gene-quantification.in=
fo
GenEx is a popular software for qPCR data processing and analysis. Built in=
a modular fashion GenEx provides a multitude of functionalities for the qP=
CR community, ranging from basic data editing and management to advanced cu=
tting-edge data analysis. View our webpage =3D> http://GenEx.gene-quantific=
ation.info
Basic data editing and management
Arguably the most important part of qPCR experiments is to pre-process the =
raw data into shape for subsequent statistical analyses. The pre-processing=
steps need to be performed consistently in correct order and with confiden=
ce. GenEx Standard=E2=80=99s streamlined and user-friendly interface ensure=
s mistake-free data handling. Intuitive and powerful presentation tools all=
ow professional illustrations of even the most complex experimental designs=
..
Advanced cutting-edge data analysis
When you need more advanced analyses GenEx Enterprise is the product for yo=
u. Powerful enough to demonstrate feasibility it often proves sufficient fo=
r most users demands. Current features include parametric and non-parametri=
c statistical tests, Principal Component Analysis, and Artificial Neural Ne=
tworks. New features are continuously added to GenEx with close attention t=
o customers=E2=80=99 needs.
New features
Sample handling and samples individual biology often contribute to confound=
ing experimental variability. By using the new nested ANOVA feature in GenE=
x version 5 user will be able to evaluate variance contributions from each =
step in the experimental procedure. With a good knowledge of the variance c=
ontributions, an appropriate distribution of experimental replicates can be=
selected to minimize confounding variance and maximize the power of the ex=
perimental design! For experiments with complex features, such as for examp=
le multifactorial diseases, analytical relationships and classifications ma=
y not readily be available. The support vector machine feature in the new v=
ersion of GenEx is so easy to use that it will make this advanced supervise=
d classification method easily available to novice users, while providing a=
ccess to advanced parameters for experts.
Download a free trail version here =3D> http://GenEx.gene-quantification.in=
fo
GenEx PDF user guides:
* GenEx user guide=20
* GenEx user guide - Exiqon Wizard=20
* GenEx user guide - Roche Wizard
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to further scientists and friends who are interested in qPCR !
Best regards,
Michael W. Pfaffl
responsible Editor of the Gene Quantification Pages
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The qPCR NEWS and the Gene Quantification Pages are educational sites with =
the only purpose of facilitating access to qPCR related information on the =
internet. The qPCR NEWS and the Gene Quantification Pages are edited by Mic=
hael W. Pfaffl.
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