Polluting characteristics, sources, cancer risk, and cellular toxicity of PAHs bound in atmospheric particulates sampled from an economic transformation demonstration area of Dongguan in the Pearl River Delta, China.

The Songshan Lake Science and Technology Industrial Park is a national economic transition demonstration area, which centers at a traditional industrial region, in Dongguan, China. We were interested in the involved atmospheric particulates-bound PAHs regarding their sources, cancer risk, and related cellular toxicity for those in other areas under comparable conditions. In this study, the daily concentrations of TSP, PM10, and PM2.5 were averaged 127.95, 95.91, and 67.62 µg/m3, and the bound PAHs were averaged 1.31, 1.22, and 0.77 ng/m3 in summer and 12.72, 20.51 and 40.27 ng/m3 in winter, respectively. The dominant PAHs were those with 5-6 rings, and 4-6 rings in summer and winter, respectively. The incremental lifetime cancer risk (ILCR) (90th percentile probability) of total PAHs was above 1.00E-06 in each age group, particularly high in adolescents. Sensitivity analysis indicated that slope factor and body weight had greater impact than exposure duration and inhalation rate on the ILCR. Moreover, treatment of human bronchial epithelial BEAS-2B cells with mixed five indicative PAHs increased the formation of ROS, DNA damage (elevation in γ-H2AX), and protein levels of CAR, PXR, CYP1A1, 1A2, 1B1, while reduced the AhR protein, with the winter mixture more potent than summer. For the sources of PAHs, the stable carbon isotope ratio analysis and diagnostic ratios consistently pointed to petroleum and fossil fuel combustion as major sources. In conclusion, our findings suggest that particulates-bound PAHs deserve serious concerns for a cancer risk in such environment, and the development of new power sources for reducing fossil fuel combustion is highly encouraged.

SIRT1 regulated hexokinase-2 promoting glycolysis is involved in hydroquinone-enhanced malignant progression in human lymphoblastoid TK6 cells.

Reprogramming of cellular metabolism is a vital event during tumorigenesis. The role of glycolysis in malignant progression promoted by hydroquinone (HQ), one of the metabolic products of benzene, remains to be understood. Recently, we reported the overexpression of sirtuin 1 (SIRT1) in HQ-enhanced malignant progression of TK6 cells and hypothesized that SIRT1 might contribute to glycolysis and favor tumorigenesis. Our data showed that acute exposure of TK6 cells to HQ for 48 h inhibited glycolysis, as indicated by reduction in glucose consumption, lactate production, hexokinase activity, and the expression of SIRT1 and glycolytic enzymes, including HIF-1α, hexokinase-2 (HK-2), ENO-1, glucose transporter 1 (Glut-1), and lactic dehydrogenase A (LDHA). Knockdown of SIRT1 or inhibition of glycolysis using the glycolytic inhibitor 2-deoxy-D-glucose (2-DG) downregulated the levels of SIRT1 and glycolytic enzymes and significantly enhanced HQ-induced cell apoptosis, although knockdown of SIRT1 or 2-DG alone had little effect on apoptosis. Furthermore, immunofluorescence and Co-IP assays demonstrated that SIRT1 regulated the expression of HK-2, and HQ treatment caused a decrease in SIRT1 and HK-2 binding to mitochondria. Importantly, we found that glycolysis was promoted with increasing HQ treatment weeks. Long-term HQ exposure increased the expression of SIRT1 and several glycolytic enzymes and promoted malignant cell progression. Moreover, compared with the PBS group, glucose consumption and lactate production increased after 10 weeks of HQ exposure, and the protein levels of SIRT1 and HK-2 were increased after 15 weeks of HQ exposure, while those of Glut-1, ENO-1, and LDHA were elevated. In addition, SIRT1 knockdown HQ 19 cells exhibited decreased lactate production, glucose consumption, glycolytic enzymes expression, cell growth, and tumor formation in nude mice. Our findings identify the high expression of SIRT1 as a strong oncogenic driver that positively regulates HK-2 and promotes glycolysis in HQ-accelerated malignant progression of TK6 cells.

Combination of atmospheric and room temperature plasma (ARTP) mutagenesis, genome shuffling and dimethyl sulfoxide (DMSO) feeding to improve FK506 production in Streptomyces tsukubaensis.

FK506 is a clinically important macrocyclic polyketide with immunosuppressive activity produced by Streptomyces tsukubaensis. However, the production capacity of the strain is very low. To improve production, atmospheric and room temperature plasma (ARTP) mutagenesis was adopted to get the initial strains used in genome shuffling (GS). After three rounds of GS, S. tsukubaensis R3-C4 was the most productive strain, resulting in a FK506 concentration of 335 µg/mL, 2.6 times than that of the original wild-type strain. Moreover, exogenous DMSO 4% (v/v) addition could induce efflux of FK506 and increased FK506 production by 27.9% to 429 µg/mL. Finally, analyses of the differences in morphology, fermentation characteristics and specific gene expression levels between S. tsukubaensis R3-C4 and the wild-type strain revealed that R3-C4 strain: has hampered spore differentiation, thicker mycelia and more red pigment, which are likely related to the downregulation of bldD and cdgB expression. In addition, the expression levels of fkbO, fkbP, dahp, pccB and prpE all showed up-regulation at diverse degrees compared to the wild-type S. tsukubaensis. Overall, these results show that a combined approach involving classical random mutation and exogenous feeding can be applied to increase FK506 biosynthesis and may be applied also to the improvement of other important secondary metabolites.

Amplification of lmbB1 gene in Streptomyces lincolnensis improves quantity and quality of lincomycin A fermentation.

As a lincosamide antibiotic, lincomycin is still important for treating diseases caused by Gram-positive bacteria. Manufacturing of lincomycin needs efforts to, e.g. maximize desirable species and minimizing unwanted fermentation byproducts. Analysis of the lincomycin biosynthetic gene cluster of Streptomyces lincolnensis, lmbB1, was shown to catalyze the conversion of L-dopa but not of L-tyrosine and then further generated the precursor of lincomycin A. Based on the principle of directed breeding, a strain termed as S. lincolnensis 24-2, was obtained in this work. By overexpressing the lmbB1 gene, this strain produces efficacious lincomycin A and suppresses melanin generation, whereas contains unwanted lincomycin B. The good fermentation performance of the mutant-lmbB1 (M-lmbB1) was also confirmed in a 15 L-scale bioreactor, which increased the lincomycin A production by 37.6% compared with control of 6435 u/mL and reduced the accumulation of melanin by 29.9% and lincomycin B by 73.4%. This work demonstrated that the amplification of lmbB1 gene mutation and metabolic engineering could promote lincomycin biosynthesis and might be helpful for reducing the production of other industrially unnecessary byproduct.

Method of thickness measurement for transparent specimens with chromatic confocal microscopy.

In this paper, a new method for measuring the thickness of transparent specimens using chromatic confocal microscopy (CCM) is presented. The conventional CCM thickness measurement model relies on capturing the focal points on the upper and lower surfaces of a transparent specimen. This model has strict specimen placement tolerance and a limited measurement range. In order to overcome these limitations, a new thickness measurement model was developed by adding an auxiliary reflector below the specimen. The thickness of the specimen can be determined by comparing the wavelengths of light focused on the auxiliary reflector before and after placing the measurement specimen. Theoretical analysis and simulation showed that the proposed method has twice the measurement range of the conventional model. In order to verify the proposed CCM measurement model, a laboratory thickness measurement system was developed by the authors' team. A commercial laser scanning confocal microscope (Carl Zeiss LSM780) was used as the reference system. A set of quartz glasses was measured using both the proposed system and the reference system. Experimental comparison showed that the proposed method was able to achieve a measurement accuracy of 0.25 µm. In addition, repeated measurements conducted at different heights showed negligible variation. Thus, it can be concluded that the specimen placement tolerance was improved significantly compared with the conventional model.

Influence of Al3+ on the titer of spiramycin and effective components in fermentor.

Spiramycin is a multicomponent antibiotic, and different components have different antibacterial activities. In Streptomyces spiramyceticus 16-10-2, spiramycin II and spiramycin III (SPMII and SPMIII) are the main components, while spiramycin I (SPMI) needs to be controlled below 12%. Based on this, the influences of Al3+ on total spiramycin titer and components were investigated in this work. Those experiments were mainly performed in 15 L fermentor and Al3+ made a great improvement in spiramycin titer. The optimal adding concentration and adding time of Al3+ were 0.32 g/L at 12 hr. Under this condition, spiramycin titer was increased by 19.51% compared with the control. Moreover, the percentage of SPMII and SPMIII was increased by 7.14%. At the same time, the time of mycelia autolysis was lengthened. In addition, the specific activities of acetyl-CoA synthetase, acetate kinase, acetylphosphotransferase, and acylating enzyme were much higher than those of control. The content of acetic acid and succinic acid was beyond 3 and 4.5 times than that of control, respectively.

Improvement of lincomycin production by mutant selection and metabolic regulation.

Lincomycin is a lincosamide antibiotic produced by Streptomyces lincolnensis. Through mutagenesis by ethylmethansulfonate (EMS) and ultraviolet (UV) irradiation repeatedly, M2 was picked out in plate with glutamine and propylproline orderly. In 50-L stirred bioreactor, the production of lincomycin, fermented by M2, was increased to 8136 u/ml under the optimal condition as compared to original strain S. lincolnensis 07-5 (6634 u/ml). Two-dimensional gel electrophoresis (2-D GE) and mass spectrometry (MS)-shown LmbG, LmbI, and acetohydroxy acid isomeroreductase were remarkably synthesized in M2. The gene lmbG and lmbI are responsible for methylation in the lincomycin biosynthetic cluster, while acetohydroxy acid isomeroreductase contributes to stronger metabolic capability. Finally, we obtained a better strain for industrial production.

Automatic detection system for steel skeleton size based on machine vision.

Currently, most buildings are constructed using prefabricated concrete slabs supported by a steel skeleton that is generally tied and welded manually. However, if the overall size of the skeleton is incorrect and this error is not noticed before the concrete is poured, then a huge waste is incurred by having to scrap all the prefabricated slabs. Therefore, we propose an automatic system for measuring the frame size needed for prefabricated slabs made of reinforced concrete using LabVIEW and the NI Vision library of machine-vision functions to perform image processing and machine-vision detection. A charge-coupled device camera obtained an overall image, and then, LabVIEW processed the image and extracted its features. The system compared the measured size with the design size and issued a warning if the two differ by more than 0.5 cm. From experimental comparison and verification, the maximum measurement error between the test results and the actual size was 2.7% and the root mean square error was 0.66%. This meets the requirements of actual site construction and provides a scientific reference for realizing the automatic detection of the skeleton size for reinforced-concrete precast slabs.

Identification and dynamic monitoring of electrospinning jet assisted by coaxial laser.

The accurate and rapid detection and recognition of jet features are key to dynamic monitoring and online control of the electrospinning process. In this study, a real-time recognition system based on OpenCV was introduced into a coaxial laser-assisted electrospinning system to solve the difficulties of accurate jet recognition and to promote an image processing algorithm response. The jet images with laser assistance were more clearly visible than those without laser assistance, and a significant contrast in grayscale levels existed in the jet image to help distinguish jet features. Subsequently, separate algorithms were designed for the jet visible length calculation, and the recognized visible length of the jet and algorithm running speed were compared. The average visible length of the jet with laser assistance was 11.49 mm, which increased by 1.59 mm compared to that without laser assistance. In addition, the running time of the algorithm with laser assistance was 24.89 ms, reduced by 14.84 ms compared to that without laser assistance, indicating the effectiveness of laser assistance to promote the accuracy and running speed of the jet image recognition process. Additionally, real-time detection of the jet angles was achieved to identify instances of excessive deflection during the electrospinning process. Overall, this study has significant potential to promote the dynamic monitoring of an electrospinning jet.

[Reform and reflection of teaching microbiology in English].

Microbiology is a key basic professional course for all the students specializing in biology, biotechnology and related majors. To date, microbiology is mainly taught in Chinese within colleges and universities in China. Development of a microbiology course that is taught in English may satisfy the diversified learning needs of the students and promote the "Double First-Class" initiative. We started to teach the microbiology course in English at the East China University of Science and Technology since 2016. This practice was associated with reform and innovation in the teaching methods and contents. The microbiology course taught in English greatly attracted the interest of the attending students and helped improve their professional English learning as well as scientific research. This course provided important support for fostering innovative professional first-class undergraduates under the context of the "Double First-Class" initiative.

miR-574-5p mediates epithelial-mesenchymal transition in small cell lung cancer by targeting vimentin via a competitive endogenous RNA network.

Numerous studies have suggested that non-coding RNAs mediate tumorigenesis via the epithelial-mesenchymal transition (EMT). However, whether the long non-coding RNA (lncRNA) HOXA transcript at the distal tip (HOTTIP) plays a role in the EMT of small cell lung cancer (SCLC) remains unclear. The results of the present study suggest that HOTTIP-knockdown may lead to a significant increase in E-cadherin expression and a decrease in vimentin (VIM) expression; these proteins are two key markers of EMT. Furthermore, a notable morphological change in SCLC cells with HOTTIP-knockdown was observed: After upregulation of microRNA (miR)-574-5p, the cells exhibited a long, fusiform morphology. Investigating these phenomena further revealed that HOTTIP may participate in EMT by binding to miR-574-5p. In addition, using bioinformatics technology and a dual luciferase reporter assay, it was found that miR-574-5p inhibited VIM expression via direct binding and interaction. In summary, the present results indicate that HOTTIP may be involved in the EMT of SCLC by binding to miR-574-5p, and that miR-574-5p may act through VIM, which is a key marker of EMT.

Prediction Biomarkers Associated with Lymph Node Metastasis and Prognosis were Identified in Papillary Thyroid Carcinoma via Integrated Bioinformatics Analysis.

BACKGROUND: Prediction biomarkers associated with prognosis and lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) are needed to facilitate clinicians in choosing appropriate therapies. OBJECTIVE: We hope to identify key genes associated with LNM and prognosis in PTC. METHODS: GSE29265, GSE33630, GSE3467, GSE3678 and GSE58545 gene expression profiles were acquired from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) between PTC tissues and normal thyroid tissues were selected with the GEO2R tool, and common DEGs among the five datasets were integrated with Venn software online. A proteinprotein interaction (PPI) network of the common DEGs was visualized. We analyzed the PPI network and determined core genes using the Cytoscape software. Furthermore, we employed UALCAN to verify the expression and promoter methylation status of the core genes in thyroid carcinoma (THCA). Additionally, the Kaplan-Meier plotter online tool was used to analyze the relationship between overall survival and core gene expressions in THCA. RESULTS: TNS3, DUSP6, DUSP4 and PTPRE were identified as core genes. Expression of these 4 genes and the promoter methylation status of DUSP4 and PTPRE were strongly associated with LNM (P<0.05). High expression of 3 genes (DUSP6, DUSP4 and PTPRE) was related to a significantly better survival than low expression of the 3 genes in THCA. In contrast, high TNS3 expression was related to significantly worse survival (P<0.05). CONCLUSION: TNS3, DUSP6, DUSP4, PTPRE and DUSP4 and PTPRE promoter methylation status might be useful predictive biomarkers of LNM in PTC. Additionally, these genes may be prognostic biomarkers in PTC.

Identification of key differentially expressed genes between ER-positive/HER2-negative breast cancer and ER-negative/HER2-negative breast cancer using integrated bioinformatics analysis.

BACKGROUND: Treatment strategies for various subtypes of breast cancer (BC) are different based on their distinct molecular characteristics. Therefore, it is very important to identify key differentially expressed genes (DEGs) between ER-positive/HER2-negative BC and ER-negative/HER2-negative BC. METHODS: Gene expression profiles of GSE22093 and GSE23988 were obtained from the Gene Expression Omnibus database. There were 74 ER-positive/HER2-negative BC tissues and 85 ER-negative/HER2-negative BC tissues in the two profile datasets. DEGs between ER-positive/HER2-negative tissues and ER-negative/HER2-negative BC tissues were identified by the GEO2R tool. The common DEGs among the two datasets were detected with Venn software online. Next, we made use of the Database for Annotation, Visualization and Integrated Discovery to analyze enriched Kyoto Encyclopedia of Gene and Genome (KEGG) pathways and gene ontology terms. Then, the protein-protein interactions (PPIs) of these DEGs were visualized by Cytoscape with the Search Tool for the Retrieval of Interacting Genes. Of the proteins in the PPI network, Molecular Complex Detection plug-in analysis identified nine core upregulated genes and one core downregulated gene. UALCAN and Gene Expression Profiling Interactive Analysis were applied to determine the expression of these 10 genes in BC. Furthermore, for the analysis of overall survival among those genes, the Kaplan-Meier method was implemented. RESULTS: Ninety-three common DEGs (63 upregulated and 30 downregulated) were identified. KEGG pathway enrichment analysis showed that upregulated DEGs were particularly enriched in the progesterone-mediated oocyte maturation pathway. In addition, PGR might be a prognostic biomarker for ER-positive/HER2-negative BC. CCND1 is a poor prognostic biomarker for ER-positive/HER2-negative BC and ER-negative/HER2-negative BC. Moreover, TFF1, AGR2 and EGFR might be predictive biomarkers of node metastasis in ER-positive/HER2-negative BC and ER-negative/HER2-negative BC. CONCLUSIONS: CCND1, AGR2, PGR, TFF1 and EGFR are the key DEGs between ER-positive/HER2-negative BC and ER-negative/HER2-negative BC. Further studies are required to confirm the functions of the identified genes.

New insights into long non-coding RNAs in non-small cell lung cancer.

Lung cancer is a malignant tumor that seriously threatens human life and health. Non-small cell lung cancer (NSCLC) accounts for 85 % of all lung cancer cases, and its global 5-year survival rate is only approximately 5%. Thus, the identification of new prognostic biomarkers has become one of the most urgent challenges in NSCLC research. Long noncoding RNAs (LncRNAs) are a kind of noncoding RNA whose length exceeds 200 nucleotides (nt). LncRNAs are transcribed by RNA pol II and can be subjected to posttranscriptional modifications such as blocking, polyadenylation and splicing; moreover, their expression profiles are more specific than those of mRNAs. Emerging evidence confirms that lncRNAs are associated with the occurrence and development of NSCLC and play an important role in NSCLC drug resistance. The purpose of this review was to describe the roles of lncRNAs in the development, diagnosis and prognosis of NSCLC and to explore new evidence of lncRNAs in the treatment of NSCLC drug resistance. This review provides a new perspective of lncRNAs in the treatment of NSCLC.

Key genes involved in cell cycle arrest and DNA damage repair identified in anaplastic thyroid carcinoma using integrated bioinformatics analysis.

BACKGROUND: Since anaplastic thyroid carcinoma (ATC) has rapid progression and a poor outcome, identification of the key genes and underlying mechanisms of ATC is required. METHODS: Gene expression profiles of GSE29265 and GSE33630 were available from the Gene Expression Omnibus database. The two profile datasets included 19 ATC tissues, 55 normal thyroid tissues and 59 papillary thyroid cancer (PTC) tissues. Differentially expressed genes (DEGs) between ATC tissues and normal thyroid tissues as well as ATC tissues and PTC tissues were identified using the GEO2R tool. Common DEGs between the two datasets were selected via Venn software online. Then, we applied the Database for Annotation, Visualization and Integrated Discovery for Kyoto Encyclopedia of Gene and Genome pathway and gene ontology (GO) analyses. Additionally, protein-protein interactions (PPIs) of these DEGs were visualized via Cytoscape with Search Tool for the Retrieval of Interacting Genes. In the PPI networks analyzed by the Molecular Complex Detection plug-in, all 54 upregulated core genes were selected. Furthermore, Kaplan-Meier analysis was applied to analyze overall survival based on these 54 genes. Then, we used the DrugBank database to identify drug relationships for the 54 genes. Additionally, we validated the correlations between genes enriched in pathways and genes identified as prognosis biomarkers of THCA by Gene Expression Profiling Interactive Analysis. RESULTS: Four genes (CCNB1, CCNB2, CDK1 and CHEK1) involved cell cycle arrest and DNA repair were significantly enriched in the G2/M phase of the cell cycle pathway and before G2 phase arrest of the P53 pathway. Inhibitors of CHEK1, CDK1 and TOP2A were identified in the DrugBank database. ANLN, DEPDC1, KIF2C, CENPN, TACC3 CCNB2 and CDC6 were hypothesized to be prognostic biomarkers of ATC. Furthermore, CCNB1, CCNB2, CDK1 and CHEK1 were significantly positively associated with these prognosis genes. CONCLUSIONS: CCNB1, CCNB2, CDK1 and CHEK1 may be key genes involved cell cycle arrest and DNA damage repair in ATC. Further studies are required to confirm the contributions of the identified genes to ATC progression and survival.

Lincomycin, rational selection of high producing strain and improved fermentation by amino acids supplementation.

Based on the report that the introduction of the biosynthetic precursor of lincomycin, propylproline, could increase the production of lincomycin (Bruce et al. in US Patent 3,753,859, 1973), a mutant strain pro10-20, with resistance of feedback suppression of proline (an analog of propylproline) was thus selected and lincomycin production increased by 10%. The addition of three amino acids (L-proline, L-tyrosine, L-alanine) which are the precursors of propylproline to the fermentation medium was found to enhance the accumulation of L-dopa through different pathways and was favorable to lincomycin biosynthesis. The production of lincomycin was increased by 23, 10, 13%, respectively, with the addition of 0.05 g L(-1) L-proline at 60 h, 0.005 g L(-1) L-tyrosine and 0.1 g L(-1) L-alanine directly in the medium.

Effects of precursors on kitasamycin production in streptomyces kitasatoensis / Efeitos dos precursores na produção de kitasamicina em Streptomyces kitasatoensis

To improve kitasamycin biosynthesis by Streptomyces kitasatoensis Z-7, the addition of two precursors, sodium acetate and ethyl acetate, to the fermentation medium was evaluated. Ethyl acetate was the most effective precursor compared with control conditions; In a 15-L fermentor, the kitasamycin titer was 21% higher when 0.48% ethyl acetate was added compared to control conditions. Content of the A5 component increased by 5.1%, and the A4 content decreased slightly compared to that of the control. During kitasamycin synthesis, intracellular and extracellular concentrations of acetic acid were higher for S. kitasatoensis Z-7 supplemented with ethyl acetate than for the non-supplemented strain, and the activities of acyl-CoA synthetases, acyl-phosphotransferases, and acyl-kinases were also significantly increased, suggesting that increased acetyl-CoA levels can explain the high kitasamycin titer. These findings may improve the industrial-scale production of kitasamycin for clinical use, and the addition of 0.48% ethyl acetate as precursors in the medium at the beginning of cultivation was a new method to mitigate the negative influence on the cell growth of excess precursor.

Para melhorar a biossíntese de kitasamicina por Streptomyces kitasatoensis Z-7, a adição de dois precursores, acetato de sódio e acetato de etila, ao meio de fermentação foi avaliada. O acetato de etila foi o precursor mais efetivo em comparação com as condições de controle; Em um fermentador de 15 L, o título de kitasamicina foi 21% maior quando 0,48% de acetato de etila foi adicionado em comparação com as condições de controle. O conteúdo do componente A5 aumentou 5,1%, e o conteúdo A4 diminuiu ligeiramente em comparação com o do controle. Durante a síntese de kitasamicina, as concentrações intracelulares e extracelulares de ácido acético foram maiores para S. kitasatoensis Z-7 suplementado com acetato de etila do que para a cepa não suplementada, e as atividades de acil-CoA sintetases, acil-fosfotransferases e acil-cinases também foram significativamente aumentadas, sugerindo que níveis aumentados de acetil-CoA podem explicar o alto título de kitasamicina. Esses achados podem melhorar a produção em escala industrial da kitasamicina para uso clínico, e a adição de 0,48% de acetato de etila como precursores no meio no início do cultivo foi um novo método para mitigar a influência negativa no crescimento celular do excesso de precursor.