Fast classification and compositional analysis of cornstover fractions using Fourier transform near-infrared techniques

The objectives of this research were to determine the variation of chemical composition across botanical fractions of cornstover, and to probe the potential of Fourier transform near-infrared (FT-NIR) techniques in qualitatively classifying separated cornstover fractions and in quantitatively analyzing chemical compositions of cornstover by developing calibration models to predict chemical compositions of cornstover based on FT-NIR spectra. Large variations of cornstover chemical composition for wide calibration ranges, which is required by a reliable calibration model, were achieved by manually separating the cornstover samples into six botanical fractions, and their chemical compositions were determined by conventional wet chemical analyses, which proved that chemical composition varies significantly among different botanical fractions of cornstover. Different botanic fractions, having total saccharide content in descending order, are husk, sheath, pith, rind, leaf, and node. Based on FT-NIR spectra acquired on the biomass, classification by Soft Independent Modeling of Class Analogy (SIMCA) was employed to conduct qualitative classification of cornstover fractions, and partial least square (PLS) regression was used for quantitative chemical composition analysis. SIMCA was successfully demonstrated in classifying botanical fractions of cornstover. The developed PLS model yielded root mean square error of prediction (RMSEP %w/w) of 0.92, 1.03, 0.17, 0.27, 0.21, 1.12, and 0.57 for glucan, xylan, galactan, arabinan, mannan, lignin, and ash, respectively. The results showed the potential of FT-NIR techniques in combination with multivariate analysis to be utilized by biomass feedstock suppliers, bioethanol manufacturers, and bio-power producers in order to better manage bioenergy feedstocks and enhance bioconversion.     

Evidence for the complexity of microRNA-mediated regulation in ovarian cancer: a systems approach

MicroRNAs (miRNAs) are short (～22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer. Previous studies have shown that miRNAs inhibit the translation and facilitate the degradation of their targeted messenger RNAs (mRNAs) making them attractive candidates for use in cancer therapy. However, the potential clinical utility of miRNAs in cancer therapy rests heavily upon our ability to understand and accurately predict the consequences of fluctuations in levels of miRNAs within the context of complex tumor cells. To evaluate the predictive power of current models, levels of miRNAs and their targeted mRNAs were measured in laser captured micro-dissected (LCM) ovarian cancer epithelial cells (CEPI) and compared with levels present in ovarian surface epithelial cells (OSE). We found that the predicted inverse correlation between changes in levels of miRNAs and levels of their mRNA targets held for only ～11% of predicted target mRNAs. We demonstrate that this low inverse correlation between changes in levels of miRNAs and their target mRNAs in vivo is not merely an artifact of inaccurate miRNA target predictions but the likely consequence of indirect cellular processes that modulate the regulatory effects of miRNAs in vivo. Our findings underscore the complexities of miRNA-mediated regulation in vivo and the necessity of understanding the basis of these complexities in cancer cells before the therapeutic potential of miRNAs can be fully realized.     

Lenalidomide overcomes suppression of human natural killer cell anti-tumor functions by neuroblastoma microenvironment-associated IL-6 and TGFβ1

Background

Treatment for children with high-risk neuroblastoma with anti-disialoganglioside mAb ch14.18, IL-2, and GM-CSF plus 13-cis-retinoic acid after myeloablative chemotherapy improves survival, but 40 % of patients still relapse during or after this therapy. The microenvironment of high-risk neuroblastoma tumors includes macrophages, IL-6, and TGFβ1. We hypothesized that this microenvironment suppresses anti-tumor functions of natural killer (NK) cells and that lenalidomide, an immune-modulating drug, could overcome suppression.

Methods

Purified NK cells were cultured with IL-2, neuroblastoma/monocyte-conditioned culture medium (CM), IL-6, TGFβ1, and lenalidomide in various combinations and then characterized using cytotoxicity (direct and antibody-dependent cell-mediated cytotoxicity), cytokine, flow cytometry, and Western blotting assays. Anti-tumor activity of NK cells with lenalidomide, ch14.18, or both was evaluated with a xenograft model of neuroblastoma.

Results

CM from neuroblastoma/monocyte co-cultures contains IL-6 and TGFβ1 that suppress IL-2 activation of NK cell cytotoxicity and IFNγ secretion. IL-6 and TGFβ1 activate the STAT3 and SMAD2/3 pathways in NK cells and suppress IL-2 induction of cytotoxicity, granzymes A and B release, perforin expression, and IFNγ secretion. Lenalidomide blocks IL-6 and TGFβ1 activation of these signaling pathways and inhibits their suppression of NK cells. Neuroblastoma cells in NOD/SCID mice exhibit activated STAT3 and SMAD2/3 pathways. Their growth is most effectively inhibited by co-injected peripheral blood mononuclear cells (PBMC) containing NK cells when mice are treated with both ch14.18 and lenalidomide.

Conclusion

Immunotherapy with anti-tumor cell antibodies may be improved by lenalidomide, which enhances activation of NK cells and inhibits their suppression by IL-6 and TGFβ1.     

SNP-SNP Interactions Discovered by Logic Regression Explain Crohn's Disease Genetics

In genome-wide association studies (GWAS), the association between each single nucleotide polymorphism (SNP) and a phenotype is assessed statistically. To further explore genetic associations in GWAS, we considered two specific forms of biologically plausible SNP-SNP interactions, ‘SNP intersection’ and ‘SNP union,’ and analyzed the Crohn''s Disease (CD) GWAS data of the Wellcome Trust Case Control Consortium for these interactions using a limited form of logic regression. We found strong evidence of CD-association for 195 genes, identifying novel susceptibility genes (e.g., ISX, SLCO6A1, TMEM183A) as well as confirming many previously identified susceptibility genes in CD GWAS (e.g., IL23R, NOD2, CYLD, NKX2-3, IL12RB2, ATG16L1). Notably, 37 of the 59 chromosomal locations indicated for CD-association by a meta-analysis of CD GWAS, involving over 22,000 cases and 29,000 controls, were represented in the 195 genes, as well as some chromosomal locations previously indicated only in linkage studies, but not in GWAS. We repeated the analysis with two smaller GWASs from the Database of Genotype and Phenotype (dbGaP): in spite of differences of populations and study power across the three datasets, we observed some consistencies across the three datasets. Notable examples included TMEM183A and SLCO6A1 which exhibited strong evidence consistently in our WTCCC and both of the dbGaP SNP-SNP interaction analyses. Examining these specific forms of SNP interactions could identify additional genetic associations from GWAS. R codes, data examples, and a ReadMe file are available for download from our website: http://www.ualberta.ca/~yyasui/homepage.html.     

Hollow fiber liquid phase microextraction followed by high performance liquid chromatography for determination of ultra-trace levels of Se(IV) after derivatization in urine,plasma and natural water samples

In the present work, a simple and high sensitive method based on hollow fiber liquid phase microextraction (HF-LPME) was developed followed by high performance liquid chromatography (HPLC) for determination of ultra-trace amounts of Se(IV) after derivatization in biological and natural water samples. Se(IV) was complexed with o-phenylenediamine to form piazselenol. The formed piazselenol was extracted into 20 μL of 1-octanol located in the lumen of a hollow fiber and the solution was injected into HPLC-UV for analysis. Using the Taguchi method, an orthogonal array design (OAD), OA₁₆ (4⁵) was employed to optimize the HF-LPME of piazselenol. The effect of five experimental factors (each factor at four levels) including the volume of the organic phase, extraction time, pH of the solution, stirring rate and ionic strength on the extraction efficiency of piazselenol was studied and optimized. The maximum extraction efficiency of piazselenol was obtained at 20 μL of 1-octanol as the extracting solvent, 30 min extraction time, pH 2, stirring rate of 500 rpm and 30% (w/v) NaCl. Under the optimum conditions, preconcentration factors up to 130 were achieved and the relative standard deviation (%RSD) of the method was <3.7% for different concentrations of Se(IV). The calibration curves were obtained in the ranges of 0.2–100 and 0.05–10 μg L^?1 for the 11 and 50 mL of the sample volumes with reasonable linearity, respectively (r² > 0.995). The limits of detection (LOD) were 0.1 and 0.02 μg L^?1 for the 11 and 50 mL sample volumes, respectively (S/N = 3). Finally, the applicability of the proposed method was evaluated by the extraction and determination of Se(IV) in the plasma, urine and water samples.     

Inhibition of phosphatidylinositol 3'-kinase induces preferentially killing of PTEN-null T leukemias through AKT pathway

We examined the functional role of the phosphatidylinositol 3'-kinase pathway in the growth and survival of cell lines of T-cell origin. Pharmacological inhibition of PI3'-kinase using LY294002 resulted in apoptosis of acute lymphoblastic T-cell leukemia (T-ALL) cell lines including CEM, Jurkat, and MOLT-4. On the other hand, the cutaneous T-cell lymphoma cell line HUT-78 was found to be refractory to LY294002- inducible apoptosis. Sensitivity or resistance to pharmacological inhibitors of PI3'-kinase correlated with tumor suppressor PTEN gene expression, as sensitive T-ALL cells do not express PTEN and have high level of activated AKT, in contrast to HUT-78 cells. Our data demonstrate that inhibition of PI3'-kinase results in dephosphorylation of AKT and partial inhibition of Bcl-xL expression in T-ALL cells, but not in HUT-78 cells. Interestingly, HUT-78 cells were also found to express higher levels of Bcl-xL protein as compared to T-ALL cells. Inhibition of PI3'-kinase also induces release of cytochrome c from mitochondria and activation of caspase-3 and PARP in all T-ALL cell lines tested, but not in HUT-78 cells. Taken altogether, our data demonstrate that the PI3'-kinase/AKT pathway plays a major role in the growth and survival of PTEN-null T-ALL cells, and identify this cascade as promising target for therapeutic intervention in acute T-cell leukemias.