Visual Molecular Dynamics Investigations of the Impact of Hydrophobic Nanoparticles on Prognosis of Alzheimer’s Disease and Cancers

The possible impact of hydrophobic lectin nanoparticles on the prognosis and progression of Alzheimer's disease (AD) and cancers was investigated by Visual Molecular Dynamics (VMD) computer modeling programs available from the Beckmann Advanced Research Institute at the University of Illinois at Urbana. Our results indicate the possibility of impeding pathological aggregation of certain proteins such as modified tau- or beta-amyloid that are currently being considered as possible causes of Alzheimer's disease. VMD programs serve as useful tools for investigation hydrophobic protein aggregation that may play a role in aging of human populations

Novel Techniques and Their Applications to Health Foods, Agricultural and Medical Biotechnology: Functional Genomics and Basic Epigenetic Controls in Plant and Animal Cells

Selected applications of novel techniques for analyzing Health Food formulations, as well as for advanced investigations in Agricultural and Medical Biotechnology aimed at defining the multiple connections between functional genomics and epigenomic, fundamental control mechanisms in both animal and plant cells are being reviewed with the aim of unraveling future developments and policy changes that are likely to open new niches for Biotechnology and prevent the shrinking or closing of existing markets. Amongst the selected novel techniques with applications in both Agricultural and Medical Biotechnology are: immobilized bacterial cells and enzymes, microencapsulation and liposome production, genetic manipulation of microorganisms, development of novel vaccines from plants, epigenomics of mammalian cells and organisms, and biocomputational tools for molecular modeling related to disease and Bioinformatics. Both fundamental and applied aspects of the emerging new techniques are being discussed in relation to their anticipated, marked impact on future markets and present policy changes that are needed for success in either Agricultural or Medical Biotechnology. The novel techniques are illustrated with figures presenting the most important features of representative and powerful tools which are currently being developed for both immediate and long term applications in Agriculture, Health Food formulation and production, pharmaceuticals and Medicine. The research aspects are naturally emphasized in our review as they are key to further developments in Biotechnology; however, the course adopted for the implementation of biotechnological applications, and the policies associated with biotechnological applications are clearly the determining factors for future Biotechnology successes, be they pharmaceutical, medical or agricultural

Novel NIR Spectroscopy Correlation Approach to Amino Acid Analysis of Soybean Proteins for Composition Improvements. (Version 2.0)

Amino acid NIR calibrations were developed in our Physical Chemistry of Foods Laboratory of the University of Illinois at Urbana for three selected amino acid groups that include essential amino acids for identified soybean accessions. Conventional “wet chemistry” analytical methods are time-consuming and costly. As a result, soybean breeders and researchers have an imperative need to utilize faster and less expensive methods. NIR Spectroscopy is a rapid and inexpensive method for composition analysis for academia and industry. Recent advancements in instrumentation design, such as the application of the Diode Array (DA) technique and the Fourier Transform (FT) IR and NIR techniques, have significantly improved overall instrument performance and advancement in the field of grain analysis. 

Novel results are presented for amino acid calibrations for US soybean accessions relevant to the food and agricultural industry.
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Novel NIR Spectroscopy Correlation Approach to Amino Acid Analysis of Soybean Proteins for Composition Improvements. (v.3)

Amino acid NIR calibrations were developed in our Physical Chemistry of Foods Laboratory of the University of Illinois at Urbana for three selected amino acid groups that include essential amino acids for identified soybean accessions. Conventional “wet chemistry” analytical methods are time-consuming and costly. As a result, soybean breeders and researchers have an imperative need to utilize faster and less expensive methods. NIR Spectroscopy is a rapid and inexpensive method for composition analysis for academia and industry. Recent advancements in instrumentation design, such as the application of the Diode Array (DA) technique and the Fourier Transform (FT) IR and NIR techniques, have significantly improved overall instrument performance and advancement in the field of grain analysis. 

Novel results are presented for amino acid calibrations for US soybean accessions relevant to the food and agricultural industry.
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Determination of Soybean Oil, Protein and Amino Acid Residues in Soybean Seeds by High Resolution Nuclear Magnetic Resonance (NMRS) and Near Infrared (NIRS)

A detailed account is presented of our high resolution nuclear magnetic resonance (HR-NMR) and near infrared (NIR) calibration models, methodologies and validation procedures, together with a large number of composition analyses for soybean seeds. NIR calibrations were developed based on both HR-NMR and analytical chemistry reference data for oil and twelve amino acid residues in mature soybeans and soybean embryos. This is our first report of HR-NMR determinations of amino acid profiles of proteins from whole soybean seeds, without protein extraction from the seed. It was found that the best results for both oil and protein calibrations were obtained with a Partial Least Squares Regression (PLS-1) analysis of our extensive NIR spectral data, acquired with either a DA7000 Dual Diode Array (Si and InGaAs detectors) instrument or with several Fourier Transform NIR (FT-NIR) spectrometers equipped with an integrating sphere/InGaAs detector accessory. In order to extend the bulk soybean samples calibration models to the analysis of single soybean seeds, we have analized in detail the component NIR spectra of all major soybean constituents through spectral deconvolutions for bulk, single and powdered soybean seeds. Baseline variations and light scattering effects in the NIR spectra were corrected, respectively, by calculating the first-order derivatives of the spectra and the Multiplicative Scattering Correction (MSC). The single soybean seed NIR spectra are broadly similar to those of bulk whole soybeans, with the exception of minor peaks in single soybean NIR spectra in the region from 950 to 1,000 nm. Based on previous experience with bulk soybean NIR calibrations, the PLS-1 calibration model was selected for protein, oil and moisture calibrations that we developed for single soybean seed analysis. In order to improve the reliability and robustness of our calibrations with the PLS-1 model we employed standard samples with a wide range of soybean constituent compositions: from 34% to 55% for protein, from 11% to 22% for oil and from 2% to 16% for moisture. Such calibrations are characterized by low standard errors and high degrees of correlation for all major soybean constituents. Morever, we obtained highly resolved NIR chemical images for selected regions of mature soybean embryos that allow for the quantitation of oil and protein components. Recent developments in high-resolution FT-NIR microspectroscopy extend the NIR sensitivity range to the picogram level, with submicron spatial resolution in the component distribution throughout intact soybean seeds and embryos. Such developments are potentially important for biotechnology applications that require rapid and ultra- sensitive analyses, such as those concerned with high-content microarrays in Genomics and Proteomics research. Other important applications of FT-NIR microspectroscopy are envisaged in biomedical research aimed at cancer prevention, the early detection of tumors by NIR-fluorescence, and identification of single cancer cells, or single virus particles in vivo by super-resolution microscopy/ microspectroscopy

Transition, Integration and Convergence. The Case of Romania

This volume comprises several studies and papers published in the last decades. They have been selected and ranged so that to provide a minimum of coherence concerning the phases which Romania has crossed in her way to the advanced socio-economic system of European type: transition to the market economy, accession to the EU, the economic convergence in the three fundamental domains: institutions, real economy, and nominal economy. The readers may find in this volume a description of debates, difficulties and solutions adopted for building-up the market economy by a state being in a profound transformation from weak transition institutions towards hard democratic institutions. Because the transition to the market economy and the association of Romania with the EU and then the integration presenting strategic political decisions, I have included in this work two studies devoted to the political forces state and political parties that elaborated and applied these strategic decisions underlining their structure, role and function and their transformation. Integration into the EU of a country like Romania, which emerged from a different system comparing with the West-European one, has proved to be difficult and lasting many years because of the structural transformations. In five chapters I am referring to the essential characteristics of the integration process, such as: market liberalization, competitiveness of the local (national) firms on the national and EU markets, institutional reforms so that the institutions of candidate countries have to become compatible with those of the EU and finally the perspective assessment to find out the real and nominal convergence. Putting into practice the EU competitivity and cohesion principles, Romania has good prospects to close, in a reasonable time, the economic gap and to be admitted into the Euro Zone. Although the real convergence of Romania with the EU requires higher growth rates for the former, a new approach is compulsory to take into consideration the environment quality, the natural resources and the equity between the present and the future generations as natural resource consumers. Just these problems have determined me to include in this volume the last two chapters which, on the one hand, try to prove the necessity of the economy growth harmonization with the environment evolution as well as the saving of the energy resources, and, on the other hand, to point out the main ways to be followed and instruments to be used

Complex Biological Systems Analysis of Cell Cycling Models in Carcinogenesis: I. The essential roles of modifications in the c-Myc, TP53/p53, p27 and hTERT modules in Cancer Initiation and Progression

A new approach to the integration of results from a modular, complex biological systems analysis of nonlinear dynamics in cell cycling network transformations that are leading to carcinogenesis is proposed. Carcinogenesis is a complex process that involves dynamically inter-connected biomolecules in the intercellular, membrane, cytosolic, nuclear and nucleolar compartments that form numerous inter-related pathways referred to as networks. One such network module contains the cell cyclins whose functions are essential to cell cycling and division. Cyclins are proteins that also link to several critical pro-apoptotic and other cell cycling/division components, such as: c-Myc, p27, the tumor suppressor gene TP53 and its product-- the p53 protein with key roles in controlling DNA repair, inducing apoptosis and activating p21 (which can depress cell cyclins if activated), mdm2(with its biosynthesis activated by p53 and also, in its turn, inhibiting p53), p21, the Thomsen-Friedenreich antigen(T- antigen),Rb,Bax, Bad and Bcl-2. These key network components were reported to play major roles in the carcinogenesis of many types of cancer. Our novel theoretical analysis is based on recently published studies of intra-cellular cyclin signaling, with special emphasis being placed on the roles of cyclins D1 and E. This novel analysis suggests strategies for successful clinical trials and rational therapies of cancer through re-establishment of the cell cycling inhibition in metastatic cancer cells. Cyclins are proteins that are often found to be over-expressed in cancerous cells (Dobashi et al., 2004). Cyclin-dependent kinases (CDK), their respective cyclins, and inhibitors of CDKs (CKIs) were identified as central, highly-connected components of the cell cycle-regulating machinery. In mammalian cells the complexes of cyclins D1, D2, D3, A and E with CDKs are considered to be the 'motors that drive' cells to enter and pass through the G2 to the S and M phases of the cell cycle. Specific cell cycle regulation mechanisms determine both the cell division and tissue proliferation; thus the cell cycle was reported to be finely regulated by the interactions of cyclins with CDKs and CKIs, among other molecules (Morgan et al., 1995), such as p27 and p21 that when activated are capable of deppressing or completely inhibiting the cell cycling. The Genetic database I (DSI, Paris, France) sequence for Cyclin-D1 can be found and downloaded at the PDB website:=http://www.dsi.univ-paris5.fr/genatlas/fiche.php?symbol=CCND1. The signaling pathways in cells that are thought to be involved in Carcinogenesis in humans and mice are extensively, but not completely, documented at the CGAP website supported by the National Cancer Institute(NCI)of the NIH in the USA. Extensive tumor genomics data sets are also available at this CGAP web site and also at several other web sites supported in the USA by NCI, such as those of the existing National Integrative Complex Systems Cancer Biology Program and the Fred Hutchinson Cancer Center. Urgent progress with Proteomics and Cell Interactomics high-quality, high throughput/ high-speed data acquisition for separated, human tumor cell lines is needed in order to design and implement rational, individualized cancer therapy strategies and successful clinical trials at Cancer Centers