DataSheet1_Heterogeneity and Contribution of Microplastics From Industrial and Domestic Sources in a Wastewater Treatment Plant in Xiamen, China.docx

Plastic-related industrial discharge is suspected as a significant source of microplastics (MPs) in the influent of wastewater treatment plants (WWTPs). However, little is known about the characteristics of MPs in industrial wastewater. Taking the Haicang WWTP in Xiamen, China, as an example, this study compared MPs in industrial wastewater with the domestic one in terms of abundance, particle size, polymer type, shape and color. Wentworth modulus, grain size parameters and principal component analysis (PCA) were performed to describe the MP difference between those two. It was found that the abundance of MPs in industrial wastewater was more than twice that in domestic wastewater, and the flux of MPs discharged into the aquatic environment through industrial wastewater was about 3.2 times that of domestic wastewater. The main shapes of MPs in industrial wastewater and domestic wastewater were fiber and granule, respectively. The proportion of polyester (PES) and polyethylene terephthalate (PET) in industrial wastewater was higher than that in domestic wastewater, related to the type of factories served by the WWTP. Compared with domestic wastewater, the rough surface of MPs in industrial wastewater was more complex and diverse, which might have a high capability of adsorbing other pollutants, thereby causing more significant harm to the environment. Our results supported that industrial sources of MPs are the priority areas in environmental management, and immediate action is taken to prevent industrial-sources MPs from entering the environment.</p

DataSheet_1_Kruppel homolog 1 modulates ROS production and antimicrobial peptides expression in shrimp hemocytes during infection by the Vibrio parahaemolyticus strain that causes AHPND.doc

Shrimp aquaculture has been seriously affected by acute hepatopancreatic necrosis disease (AHPND), caused by a strain of Vibrio parahaemolyticus that carries the Pir toxin plasmids (V. parahaemolyticus(AHPND)). In this study, the transcription factor, Kruppel homolog 1-like of Peneaus vannamei (PvKr-h1), was significantly induced in shrimp hemocytes after V. parahaemolyticus(AHPND) challenge, suggesting that PvKr-h1 is involved in shrimp immune response. Knockdown of PvKr-h1 followed by V. parahaemolyticus(AHPND) challenge increased bacterial abundance in shrimp hemolymph coupled with high shrimp mortality. Moreover, transcriptome and immunofluorescence analyses revealed that PvKr-h1 silencing followed by V. parahaemolyticus(AHPND) challenge dysregulated the expression of several antioxidant-related enzyme genes, such as Cu-Zu SOD, GPX, and GST, and antimicrobial peptide genes, i.e., CRUs and PENs, and reduced ROS activity and nuclear translocation of Relish. These data reveal that PvKr-h1 regulates shrimps’ immune response to V. parahaemolyticus(AHPND) infection by suppressing antioxidant-related enzymes, enhancing ROS production and promoting nuclei import of PvRelish to stimulate antimicrobial peptide genes expression.</p

Additional file 4 of A transcriptomic map of EGFR-induced epithelial-to-mesenchymal transition identifies prognostic and therapeutic targets for head and neck cancer

Additional file 4: Supplementary Table 3. Gene expression correlation with ITGB4 in the HPV-negativeTCGA cohort. Batch correlation analysis identified correlations of geneexpression with integrin beta 4 (ITGB4). Gene ID, Spearman correlation, andp-value are indicated for the top ten positively (co-regulated) and negativelycorrelated genes (counterregulated)

Additional file 1 of A transcriptomic map of EGFR-induced epithelial-to-mesenchymal transition identifies prognostic and therapeutic targets for head and neck cancer

Additional file 1: SupplementaryFigure 1. Copy number variation and expression of EGFR in Kyse30and FaDu cells. Supplementary Figure 2. GSEA of EGF- and EpEX-treated Kyse30and FaDu cells. Supplementary Figure 3. Over-representation analysis of genesof the EGFR-mediated EMT signature. SupplementaryFigure 4. Comparison ofEGFR-mediated EMT, pEMT, and EMT signatures. Supplementary Figure 5. Comparisonof EMT signatures for prognostic purposes.Supplementary Figure 6. ITGB4,ITGA6, LAMA3, LAMB3, and LAMC2 expression in HNSCC. Supplementary Figure 7. ITGB4expression in malignant and non-malignant single cells in different cancerentities. Supplementary Figure 8. ITGA6 expression in malignant andnon-malignant single cells in different cancer entities. Supplementary Figure 9. LAMA3expression in malignant and non-malignant single cells in different cancerentities. Supplementary Figure 10. LAMB3 expression in malignant andnon-malignant single cells in different cancer entities. Supplementary Figure 11. LAMC2expression in malignant and non-malignant single cells in different cancerentities. Supplementary Figure 12. ITGB4 expression in knockdown clonesof Kyse30 and FaDu cells. Supplementary Figure 13. Wound healing capacity of control andITGB4-knockdown cell lines. SupplementaryFigure 14. Tumor buddingintensities in HNSCC

Additional file 2 of A transcriptomic map of EGFR-induced epithelial-to-mesenchymal transition identifies prognostic and therapeutic targets for head and neck cancer

Additional file 2: Supplementary Table 1. EGFR-mediated EMT

Additional file 3 of A transcriptomic map of EGFR-induced epithelial-to-mesenchymal transition identifies prognostic and therapeutic targets for head and neck cancer

Additional file 3: Supplementary Table 2. TCGA HPV- HNSC cohort

Additional file 5 of A transcriptomic map of EGFR-induced epithelial-to-mesenchymal transition identifies prognostic and therapeutic targets for head and neck cancer

Additional file 5: Supplementary Table 4. SCC1 cell line: DEGs overlapping with EGFR-mediated EMT signature