Combined Layer/Particle Approaches in Surface Molecular Imprinting of Proteins: Signal Enhancement and Competition

Herein we report novel approaches to the molecular imprinting of proteins utilizing templates sizing around 10 nm and some 100 nm. The first step comprised synthesizing nanoparticles of molecularly imprinted polymers (MIP) towards bovine serum albumin (BSA) and characterizing them according to size and binding capacity. In a second step, they were utilized as templates. Quartz crystal microbalances (QCM) coated with MIP thin films based on BSA MIP nanoparticles lead to a two-fold increase in sensor responses, compared with the case of directly using the protein as the template. This also established that individual BSA molecules exhibit different “epitopes” for molecular imprinting on their outer surfaces. In light of this knowledge, a possible MIP-based biomimetic assay format was tested by exposing QCM coated with BSA MIP thin films to mixtures of BSA and imprinted and non-imprinted polymer (NIP) nanoparticles. At high protein concentrations (1000 ppm) measurements revealed aggregation behavior, i.e., BSA binding MIP NP onto the MIP surface. This increased sensor responses by more than 30% during proof of concept measurements. At lower a BSA concentration (500 ppm), thin films and particles revealed competitive behavior

From building information models to simplified geometries for energy performance simulation

A major future challenge in the building industry is to reduce primary energy use of buildings. EU law now requires energy performance certificates to be issued for all buildings. Hence, energy performance simulation becomes an increasingly important topic. Accurate, yet efficient simulation depends on simple building models. Most of the required data can be found in Building Information Models (BIM), following the buildingSMART alliance's Industry Foundation Classes (IFC) schema. IFC has become an ISO standard and enjoys increasing support by CAD software. However, typical IFC models contain a lot of irrelevant data, in particular geometric representations, which are too detailed for energy performance simulation. Therefore, an algorithm is proposed for extracting input models for simulations directly from IFC models in a semi-automatic process, to overcome the current situation where simple models are manually built from scratch. The key aspect of the algorithm is geometry simplification subject to semantic and functional groups; more specifically, the 3D representations of walls, slabs, windows, doors, etc. are reduced to a collection of surfaces describing the building's thermal shell on one hand, and the material layers associated with it on the other hand. Test models from simple fictitious houses to complex models of real-world buildings have been provided to guide the development of the algorithm in an incremental manner. This paper presents the resulting algorithm and the current status of prototype software implementing it

Persistent Inflammation Leads to Proliferative Neoplasia and Loss of Smooth Muscle Cells in a Prostate Tumor Model12

In prostate cancers, epidemiological data suggest a link between prostate inflammation and subsequent cancer development, but proof for this concept in a tumor model is lacking. A constitutively active version of IκB kinase 2 (IKK2), which is activated by many inflammatory stimuli, was expressed specifically in the prostate epithelium. Constitutive activation of the IKK2/nuclear factor κB axis was insufficient for prostate transformation. However, in combination with heterozygous loss of phosphatase and tensin homolog, IKK2 activation led to an increase in tumor size, formation of cribriform structures, and increase in fiber in the fibroblastic stroma. This phenotype was coupled with persistent inflammation evoked by chemokine expression in the epithelium and stroma. The hyperplastic and dysplastic epithelia correlated with changes evoked by decreased androgen receptor activation. Conversely, inflammation correlated with stromal changes highlighted by loss of smooth muscle cells around prostate ducts. Despite the loss of the smooth muscle barrier, tumors were rarely invasive in a C57BL/6 background. Data mining revealed that smooth muscle markers are also downregulated in human prostate cancers, and loss of these markers in primary tumors is associated with subsequent metastasis. In conclusion, our data show that loss of smooth muscle and invasiveness of the tumor are not coupled in our model, with inflammation leading to increased tumor size and a dedifferentiated stroma

Combined Layer/Particle Approaches in Surface Molecular Imprinting of Proteins: Signal Enhancement and Competition

Herein we report novel approaches to the molecular imprinting of proteins utilizing templates sizing around 10 nm and some 100 nm. The first step comprised synthesizing nanoparticles of molecularly imprinted polymers (MIP) towards bovine serum albumin (BSA) and characterizing them according to size and binding capacity. In a second step, they were utilized as templates. Quartz crystal microbalances (QCM) coated with MIP thin films based on BSA MIP nanoparticles lead to a two-fold increase in sensor responses, compared with the case of directly using the protein as the template. This also established that individual BSA molecules exhibit different “epitopes” for molecular imprinting on their outer surfaces. In light of this knowledge, a possible MIP-based biomimetic assay format was tested by exposing QCM coated with BSA MIP thin films to mixtures of BSA and imprinted and non-imprinted polymer (NIP) nanoparticles. At high protein concentrations (1000 ppm) measurements revealed aggregation behavior, i.e., BSA binding MIP NP onto the MIP surface. This increased sensor responses by more than 30% during proof of concept measurements. At lower a BSA concentration (500 ppm), thin films and particles revealed competitive behavior.© 2018 by the author