Enhanced catalytic activity of layered double hydroxides via in-situ reconstruction for conversion of glucose/food waste to methyl lactate in biorefinery.

Conversion of food waste into valuable chemicals under mild conditions has attracted increasing attention. Herein, a series of nano-sized MgAl layered double hydroxides (LDHs) were firstly developed as solid base catalyst for the methyl lactate (MLA) production directly from glucose/food waste. Glucose, which could be easily obtained from cellulose or starch-rich food waste via hydrolysis, was thus selected as the model compound. It is inspiring to find that the metal hydroxide layer in prepared LDHs was highly stable and suitable enlarged interlayer distance was reconstructed owing to in-situ intercalation of formed aromatics during the reaction, which was demonstrated by 27Al magic angle spinning nuclear magnetic resonance and time-of-flight secondary ion mass spectrometry analysis. As a result, in-situ activation of the catalysts along with gradually enhanced catalytic activity was obtained in the recycling runs and the highest MLA yield of 47.6% from glucose was achieved over LDHs (5:1) after 5 runs at 150 °C. Most importantly, the scope was further extended to other typical substrates (e.g. Chinese cabbage and rice) and the results demonstrated the effectiveness of present conversion system for real food waste.

[Effect of baicalin on expression of fibrogenic factors TGF-ß1, mmp2 and timp2 in tissue of mice with pulmonary fibrosis].

To investigate the effect of baicalin extracted from Qinbai Qingfei Concentrated Pills on the expressions of TGF-ß1, mmp2 and timp2 in mice with pulmonary fibrosis induced by bleomycin. The Biacore technique was used to detect the specific binding between Qinbai Qingfei Concentrated Pills and TGF-ß1, and the affinity components were enriched, regenerated and recovered by Biacore fishing. Then ultra-performance liquid chromatography and quadrupole time of flight mass spectrometry(UPLC-Q-TOF-MS) were used to determine whether the monomer was baicalin. Biacore was used to verify the affinity kinetics of baicalin, which was validated by pharmacodynamics in vivo. Totally 30 BALB/C mice were randomly divided into three groups: baicalin group, blank group and model group. The blank group was given sodium chloride injection(0.08 mL·kg~(-1)), while the model group and the baicalin group were injected with 4 mg·kg~(-1) bleomycin. The localization of TGF-ß1, mmp2 and timp2 protein in the cells and the mRNA expressions of TGF-ß1, mmp2 and timp2 were detected by RT-PCR 14 days later. The results of Biacore affinity analysis showed that the peak of binding response between Qinbai Qingfei Concentrated Pills and TGF-ß1 protein reached 1 524.0 RU, with specific binding. The affinity constant K_D of baicalin and TGF-ß1 was 1.620 06 µmol·L~(-1), which was determined by SPR kinetic analysis, suggesting a stable binding between baicalin and TGF-ß1, which verified the results of angulation. The results of immunohistochemistry showed that the deposition of cellulose in baicalin group was significantly less than that in model group, the mRNA expressions of TGF-ß1, mmp2 and timp2 were decreased in baicalin solution compared with the model group. Baicalin combined with TGF-ß1 could inhibit the expressions of mmp2 and timp2 and delay the progress of pulmonary fibrosis.

[Effect of Dilong on expression of fibrogenic factors TGF-ß1 and α-SMA in lung tissue of mice with pulmonary fibrosis].

The aim of this paper was to investigate the effect of Dilong( geosaurus) on the expressions of fibrotic factors TGF-ß1 and α-SMA in bleomycin-induced pulmonary fibrosis mice. The binding ability of Dilong to fibrotic factor TGF-ß1 was initially detected by Biacore technology and verified by in vivo pharmacodynamics. A total of 60 SPF C57 mice were randomly divided into 6 groups. Except the blank group( injecting 0. 08 m L·kg-1 sodium chloride in the trachea),the other five groups were given bleomycin( 4 mg·kg-1) to replicate the pulmonary fibrosis model. After 14 days of drug treatment,the expressions of TGF-ß1 and α-SMA were detected by Masson staining,immunohistochemistry and RT-PCR. The results of Biacore experiment showed that the extract of Dilong was well bound to TGF-ß1 protein in vitro,and the binding value reached 619. 3. Compared with the model group,Masson's results showed that cellulose deposition in high-dose,medium-dose and low-dose Dilong groups decreased to varying degrees. RT-PCR results showed that different doses of Dilong could reduce protein and mRNA expressions of TGF-ß1 and α-SMA to a certain extent in a dose-dependent manner. In conclusion,Dilong could delay the process of pulmonary fibrosis by binding to target protein TGF-ß1 and inhibiting the expression of α-SMA.

WEGO 2.0: a web tool for analyzing and plotting GO annotations, 2018 update.

WEGO (Web Gene Ontology Annotation Plot), created in 2006, is a simple but useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results. Owing largely to the rapid development of high-throughput sequencing and the increasing acceptance of GO, WEGO has benefitted from outstanding performance regarding the number of users and citations in recent years, which motivated us to update to version 2.0. WEGO uses the GO annotation results as input. Based on GO's standardized DAG (Directed Acyclic Graph) structured vocabulary system, the number of genes corresponding to each GO ID is calculated and shown in a graphical format. WEGO 2.0 updates have targeted four aspects, aiming to provide a more efficient and up-to-date approach for comparative genomic analyses. First, the number of input files, previously limited to three, is now unlimited, allowing WEGO to analyze multiple datasets. Also added in this version are the reference datasets of nine model species that can be adopted as baselines in genomic comparative analyses. Furthermore, in the analyzing processes each Chi-square test is carried out for multiple datasets instead of every two samples. At last, WEGO 2.0 provides an additional output graph along with the traditional WEGO histogram, displaying the sorted P-values of GO terms and indicating their significant differences. At the same time, WEGO 2.0 features an entirely new user interface. WEGO is available for free at http://wego.genomics.org.cn.