Synthesis of CuII-RuII-CuII trinuclear complexes via redox reaction of copperI across thiosemicarbazones coordinated to rutheniumII.

Pyridine-2-carbaldehyde thiosemicarbazones [C5H4N1-C(H)N2-N3H-C(S)-N4HR, R = H, L1H2; CH3, L2H2-Me; CH2CH3, L3H2-Et] with Ru(PPh3)3Cl2 have formed mononuclear RuII precursors for the generation of trinuclear complexes. The reaction of 2 mol each of L1H2, L2H2-Me, or L3H2-Et with Ru(PPh3)3Cl2 in the presence of Et3N has yielded mononuclear complexes [Ru(N3,S-L1H)2(PPh3)2] (1), [Ru(N3,S-L2H-Me)2(PPh3)2] (2), and [Ru(N3,S-L3H)2(PPh3)2] (3). The addition of 2 equiv of copperI chloride solution to complex 1 in acetonitrile has formed a novel trinuclear complex, (Ph3P)2RuII(L1)2CuII2Cl2 (4), in which the pendant amino group (-N4H2) loses one hydrogen along with the oxidation of CuI to CuII.

The physiology analysis system: an integrated approach for warehousing, management and analysis of time-series physiology data.

The physiology analysis system (PAS) was developed as a resource to support the efficient warehousing, management, and analysis of physiology data, particularly, continuous time-series data that may be extensive, of variable quality, and distributed across many files. The PAS incorporates time-series data collected by many types of data-acquisition devices, and it is designed to free users from data management burdens. This Web-based system allows both discrete (attribute) and time-series (ordered) data to be manipulated, visualized, and analyzed via a client's Web browser.

Diagnostic markers of ovarian cancer by high-throughput antigen cloning and detection on arrays.

A noninvasive screening test would significantly facilitate early detection of epithelial ovarian cancer. This study used a combination of high-throughput selection and array-based serologic detection of many antigens indicative of the presence of cancer, thereby using the immune system as a biosensor. This high-throughput selection involved biopanning of an ovarian cancer phage display library using serum immunoglobulins from an ovarian cancer patient as bait.

Onto-Tools: an ensemble of web-accessible, ontology-based tools for the functional design and interpretation of high-throughput gene expression experiments.

The Onto-Tools suite is composed of an annotation database and five seamlessly integrated web-accessible data mining tools: Onto-Express (OE), Onto-Compare (OC), Onto-Design (OD), Onto-Translate (OT) and Onto-Miner (OM). OM is a new tool that provides a unified access point and an application programming interface for most annotations available. Our database has been enhanced with more than 120 new commercial microarrays and annotations for Rattus norvegicus, Drosophila melanogaster and Carnorhabditis elegans.