BACKGROUND Modification of proteins by the small ubiquitin like modifier (SUMO) is an essential process in mammalian cells. SUMO is covalently attached to lysines in target proteins via an enzymatic cascade which consists of E1 and E2, SUMO activating and conjugating enzymes. There is also a variable requirement for non-enzymatic E3 adapter like proteins, which can increase the efficiency and s...

Freeze-fracture techniques have been used to maintain chemical heterogeneity of frozen-hydrated mammalian cells for static TOF-SIMS imaging. The effects the fracture plane has on scanning electron microscopy and dynamic SIMS images of cells have been studied, but the implications this preparation method has on static SIMS have not been addressed to date. Interestingly, the chemical specificity ...

diffusion of nitrogen in plasma nitrided iron and structural evolution during the nitriding process were evaluated by several characterization techniques including optical microscopy (om), microhardness depth profiling (hdp), scanning electron microscopy (sem), x-ray diffraction (xrd), glow discharge optical emission spectroscopy (gdoes), and secondary ion mass spectroscopy (sims). plasma nitri...

Covalent modification of surfaces with carbohydrates (glycans) is a prerequisite for a variety of glycomics-based biomedical applications, including functional biomaterials, glycoarrays, and glycan-based biosensors. The chemistry of glycan immobilization plays an essential role in the bioavailability and function of the surface bound carbohydrate moiety. However, the scarcity of analytical meth...

We demonstrate the effects of protein orientation and trehalose on a quantitative analysis of surface-immobilized proteins by using time-of-flight secondary ion mass spectrometry (TOF-SIMS). As our model protein, streptavidin (SA) was quantitatively immobilized on a solid surface at different configurations by random or oriented immobilization and subsequently treated with trehalose. The result...

The rapid adoption of social media by billions of people from all over the world has unleashed unprecedented opportunities for marketers and cognitive scientists to better understand why some message become popular while other die quickly. We designed a novel technique for automatically learning to differentiate popular tweets from unpopular ones and to predict how popular a given tweet will be...

S OF REPORTS FROM BSA VACATION