|Caveolin-1 Expression as a Possible Biomarker in Pancreatic Cancer Diagnosis|
C. Tanase, E. Raducan, L. Albulescu, E. Codorean, M.I. Nicolescu, D.I. Popescu, M.L. Cruceru and A.C. Popa
Caveolin1 (Cav-1) function either as a tumor supressor or as a promoter of metastasis. Overexpresion of cav-1 was correlated with: tumoral grading, proliferration markers (Ki67, p53), serum tumor markers (CEA, CA19.9) and angiogenic markers (VEGF, bFGF).
|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.
|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.
|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.
|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.
|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.
|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.
|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.
|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.