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New Transcripts Identified for S. cerevisiae, S. pombe and Drosophila Using Novel cDNA Cloning
Les Hoffman, Janina Gornemann, Erica Rodriguez and David Brow

Unannotated transcripts, including antisense, noncoding, intergenic, and potential regulatory RNAs, were identified in three different eukaryotic model organisms by cDNA cloning and sequencing. A rapid double-stranded cDNA generation system will be described.

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Preliminary Report: The Geriatric Propamed Study: Prospective pharmacopgenetics in geriatrics
Dr LS Griffith, Dr L Chialda and Dr A Pahl

In a worldwide first proscpective phamacogenetic study preliminary results show reduction of adverse drug reactions and hospitilisation stays for geriatric patients after pharmacogenetic testing and medication interaction analysis to fit the medicine to the patient.

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Expression Profiling of Receptor-like Cytoplasmic Protein Kinase (class VI) of Arabidopsis
Manuela Elena Jurca and Attila Feher

Gene expression pattern of 14 members of RLCK class VI in Arabidopsis is described. qRT-PCR was used to determine the transcript levels in the various organs of plant as well as under a series of abiotic stress/hormone treatments in seedlings.

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Changes in the Gene Expression of mRNA Transcripts for Insulin like Growth Factor, their receptor and Facilitative Glucose Transporter in IVM Oocytes
S.C. Gupta, Neelam Gupta and Alok Pandey

The cDNA libraries from single oocytes and pre-implantation buffalo embryos from 2 cell stage to blastocyst were established. Relative expression studied with RT-PCR of IGF-I showed an increase at 12h and decline at 24h of IVM oocytes. IGF-IR was expressed at cleavage stages to blastocyts. Glut-I was expressed in IVM oocytes and SCNT embryos at all stages. Gene expression of IGF-I, IGF-IR and Glut-I plays an important role in SCNT embryo production.

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DNA Methylation Analysis – Reliable Cell Characterization in Regenerative Medicine
Uli Hoffmueller, Stephen Rapko, Udo Baron, Georg Wieczorek, Alexander Hellwag, Cornelia Krüger, Stefan Kärst, Leslie Wolfe and Sven Olek

We demonstrate that DNA methylation patterns can serve as characteristic markers to distinguish different cell types. We have identified panels of methylation markers that are specific to mesenchymal stem cells or various differentiated cell types in the mesenchymal lineage. This method of cell type identification has a number of advantages over conventional markers in that it is robust, is both qualitative and quantitative.

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EM Algorithm for Gene Copy Number Estimation Using TaqMan® Assays
Catalin Barbacioru, Kelly Li, Caifu Chen and Raymond Samaha

Recently, TaqMan® assays have been developed for detection of genetic variation at gene level using primers and probes designed for genomic DNA sequences. The R package TaqGCN contains classes and methods that can be used for data reading and plotting, and for predicting gene copy number.

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EasyBeacons™ - new Probes Ideal for Realtime PCR Detection of Methylation Status of Single CpG Duplets and SNPs
K. Skadhauge, C. Nielsen & U.B. Christensen

The EasyBeacons™ presented here are based on the novel technology Intercalating Nucleic Acid, INA®, linked to a fluorophore and a quencher. INA® is composed of normal DNA nucleotides and Intercalating Pseudo Nucleotides (IPNs). The fact that the EasyBeacons™ are mostly composed of normal DNA nucleotides means that in many respects EasyBeacons™ behave like DNA based probes, allowing use of standard buffers, primers and enzymes and hence reduces the optimisation efforts.

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Real-time PCR Gene Expression Profiling
Mikael Kubista, José Manuel Andrade, Björn Sjögreen and Amin Forootan

Correct interpretation of real-time PCR data requires appropriate experimental design, accurate data pre-processing and analysis of the data using proper statistical and multivariate methods. For this process we have developed the GenEx software.

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Sensitive and Specific Detection of microRNAs
Martin Kreutz, James Qin, Holger Engel, Po-Jen Shih, Peter Hahn, Martin Schlumpberger, Subrahmanyam Yerramilli and Eric Lader

MicroRNAs are endogenous, 21–22 nt, noncoding RNAs that mediate post transcriptional gene regulation. miRNAs are involved in regulation of gene expression during development, differentiation, cell proliferation, and apoptosis. Misregulation of miRNA expression is associated with several cancers and other diseases. We have developed the miScript System for real-time PCR analysis of hundreds of miRNAs, sno RNAs, piRNAs, other small noncoding RNAs.

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Scientific News
Top 10 Life Science Innovations of 2016
2016 has seen the release of some truly innovative products. To help you digest these developments, The Scientist have listed their top picks for the year.
Using Cancer Cells' Mass to Predict Treatment Response
A device has been developed that can detect changes in cell mass at a minute scale.
NVIDIA Awards $400k to Trailblazers in Cancer Research
NVIDIA Foundation furthers research that could lead to new and more targeted treatments with investments.
Malaria Parasite Evades Rapid Test Detection in Children
A study at the University of North Carolina found that gene deletion poses a threat to Malaria eradication efforts.
Working With Advanced Nanoimagers
Oxford Nanoimaging report on the work of early-adopters for their Nanoimager technology at the MRC Centre for Molecular Bacteriology and Infection.
History of Cells Told Through MEMOIR
MEMOIR technique developed by CalTech researchers enables the life history of cells to be read.
Nanoscale ‘Muscles’ Powered by DNA
Scientists have developed nanoscale "muscles" to integrate with custom DNA, that can force the material to bend, curl and flip.
Dissecting Bacterial Infections at the Single-Cell Level
Researchers have used single-cell analysis technology to provide new insight into the Salmonella infection process.
Peer Review is in Crisis, But Should be Fixed, Not Abolished
After the time to get the science done, peer review has become the slowest step in the process of sharing studies, and some scientists have had enough.
Cancer Stem Cells Fuel Tumor Growth
Mass. General, Broad Institute team finds strong evidence that cancer stem cells are important drivers of tumors in patients.
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