Finally, by real-time quantitative PCR, we found that mRNA expression of NOTCH3 was up-regulated in FR alpha over-expressing cells. In summary, our

data suggests that FR alpha regulates pituitary tumor cell proliferation and mechanistically may involve the NOTCH pathway. Potentially, this finding Could be exploited to develop new, innovative molecular targeted treatment for human NF pituitary adenomas. (C) 2009 Elsevier Inc. All rights reserved.”
“c-Met is a receptor tyrosine kinase (RtK) with a critical role in many fundamental cellular processes, including cell proliferation Bcl 2 inhibitor and differentiation. Deregulated c-Met signaling has been implicated in both the initiation and progression of human cancers and therefore represents an attractive target for anticancer therapy. Monitoring the phosphorylation status of relevant tyrosine residues provides an important method of assessing c-Met kinase activity. this report describes a novel assay to monitor c-Met phosphorylation in cells using Amplified Luminescent proximity homogeneous Assay (AlphaScreen.) technology. Using AlphaScreen., the authors were able to detect both global and site-specific phosphorylation of c-Met in transformed cell lines. Data obtained from the AlphaScreen.

assay were compared to data obtained from a high-content imaging (HCI) method developed in parallel to monitor c-Met phosphorylation SB273005 molecular weight at the single cell level. the AlphaScreen. assay was miniaturized to a 384-well format with acceptable signal-to-background

ratio (S/B) and Z’ statistics and was employed to measure c-Met kinase activity in situ after treatment with potent c-Met-specific kinase inhibitors. the authors discuss the utility of quantifying endogenous cellular c-Met phosphorylation in lead optimization and how the modular design of the AlphaScreen. assay allows its adaptation to measure cellular activity of other kinases. (Journal of Biomolecular Screening 2009:404-411)”
“The DNA data bank of Japan (DDBJ, http://www.ddbj.nig.ac.jp) maintains a primary nucleotide sequence database and provides analytical resources for biological information to researchers. This database content is exchanged with the US National Center for Biotechnology Information (NCBI) and the European Bioinformatics Institute Z-DEVD-FMK (EBI) within the framework of the International Nucleotide Sequence Database Collaboration (INSDC). Resources provided by the DDBJ include traditional nucleotide sequence data released in the form of 27 316 452 entries or 16 876 791 557 base pairs (as of June 2012), and raw reads of new generation sequencers in the sequence read archive (SRA). A Japanese researcher published his own genome sequence via DDBJ-SRA on 31 July 2012. To cope with the ongoing genomic data deluge, in March 2012, our computer previous system was totally replaced by a commodity cluster-based system that boasts 122.5 TFlops of CPU capacity and 5 PB of storage space.