Adaptive channel selection in IEEE 802.15.4 TSCH networks

Additional files 6: Table S5. Four conjugative transposon gene clusters in the Chryseobacterium indologenes J31 genome

Additional file 1 of Peptide-based PROTAC degrader of FOXM1 suppresses cancer and decreases GLUT1 and PD-L1 expression

Additional file 1: Supplementary Fig. 1. Analysis of peptide screening results and molecular docking. A, Second round result of screening FOXM1 targeted peptides using an in vitro phage display. B, Third round result of screening FOXM1 targeted peptides using an in vitro phage display. C, Peptide characteristic analysis. d, Molecular docking of FIP-1 and FOXM1-PROTAC with Pymol. Supplementary Fig. 2. Western blotting results. A, MS detection of FIP-1 and FOXM1-PROTAC. B, Western blotting examination for FoxM1 of HepG2 cells treated with 20 μM FIP-1 for different time (0, 3, 6, 12, 24, 48 h). C, Western blotting test for FoxM1 of HepG2 cells treated for 24 h with increasing concentrations of FIP-1 (0, 2, 5, 10, 20, 30, 50 μM). Supplementary Fig. 3. FOXM1-PROTAC inhibits proliferation of HepG2 and MDA-MB-231 cells in vitro. A, The raw data of DNA content of HepG2 and MDA-MB-231cells on a Flow cytometer, treated with FIP-1 and FOXM1-PROTAC for 24 h and stained with propidium iodide. B, The examination of CDK1, CyclinB1 and CDC25B level of HepG2 and MDA-MB-231 cells, treated with FIP-1 and FOXM1-PROTAC for 48 h, using Western blotting. Supplementary Fig. 4. Toxicity test of FOXM1-PROTAC in vivo. A, Changes of tumor volume and statistical diagram of tumor weight. B, Changes of body weight of nude mice after caudal vein injection. C, Immunohistochemistry of Heart, Liver, Spleen, Lung and Kidney Treated by FIP-1 and FOXM1-PROTAC for 14 Days (20 mg/kg) . D, E, Activities of serum aspartic acid transferase (AST), creatinine and Blood urea nitrogen did not elevate or reduce significantly both in mice injecting with HepG2 and MDA-MB-231 cells. Supplementary Fig. 5. The uptake of 2-NBDG in HepG2 cells. A, The raw data of 2-NBDG fluorescence intensity in HepG2 cells on a Flow cytometer. Cells were treated with FIP-1 and FOXM1-PROTAC for 24 h and 2-NBDG for 30 min. B, The fluorescence of 2-NBDG in HepG2 cells imaged with the fluorescent Con-focal microscope. Cells were treated with FIP-1 and FOXM1-PROTAC for 24 h and 2-NBDG for 30 min. C, The PD-L1 on the membrane of HepG2 cells, treated with FIP-1 or FOXM1-PROTAC, was determined by flow cytometry

Persistence of Extracellular DNA in River Sediment Facilitates Antibiotic Resistance Gene Propagation

The propagation of antibiotic resistance genes (ARGs) represents a global threat to both human health and food security. Assessment of ARG reservoirs and persistence is therefore critical for devising and evaluating strategies to mitigate ARG propagation. This study developed a novel, internal standard method to extract extracellular DNA (eDNA) and intracellular DNA (iDNA) from water and sediments, and applied it to determine the partitioning of ARGs in the Haihe River basin in China, which drains an area of intensive antibiotic use. The concentration of eDNA was higher than iDNA in sediment samples, likely due to the enhanced persistence of eDNA when associated with clay particles and organic matter. Concentrations of <i>sul1</i>,<i> sul2</i>,<i> tetW</i>, and <i>tetT</i> antibiotic resistance genes were significantly higher in sediment than in water, and were present at higher concentrations as eDNA than as iDNA in sediment. Whereas ARGs (frequently located on plasmid DNA) were detected for over 20 weeks, chromosomally encoded 16S rRNA genes were undetectable after 8 weeks, suggesting higher persistence of plasmid-borne ARGs in river sediment. Transformation of indigenous bacteria with added extracellular ARG (i.e., kanamycin resistance genes) was also observed. Therefore, this study shows that extracellular DNA in sediment is a major ARG reservoir that could facilitate antibiotic resistance propagation