ZBTB7A governs 2-DG-inhibited glycolysis by regulating GLUT1 in nasopharyngeal carcinoma

Our previous studies suggested a potential interaction between the POK erythroid myeloid ontogenic factor ZBTB7A and glucose transporter 1(GLUT1)in nasopharyngeal carcinoma(NPC).This study was designed to confirm the interaction and further evaluate the precise mechanism by which ZBTB7A and GLUT1 regulate NPC development.The binding sites between ZBTB7A and the promoter of GLUT1 were predicted by bioinformatics.Gene expression was measured by quantitative real-time polymerase chain reaction(qPCR),western blotting,and immunohistochemistry.The activities of key glycolysis enzymes,including hexokinase(HK),pyruvate kinase(PK),lactate dehydrogenase(LDH),and lactate,were detected using specific enzyme-linked immunosorbent assay kits.The connection between ZBTB7A and GLUT1 was analyzed by dual-luciferase reporter assay and chromatin immunoprecipitation-qPCR.The vitality,proliferation,and tumorigenicity of the cells expressing different levels of ZBTB7A were tested by adding the glycolysis inhibitor 2-deoxy-D-glucose(2-DG),followed by MTT,colorimetric focus forming,and xenograft assays,respectively.Our results showed that high expression of GLUT1 was associated with late-stage NPC.After constructing stably transfected cells with lentiviruses,ZBTB7A was effectively knocked down in 5-8F cells(RNAi-5-8F)and overexpressed in 6-10B cells(ZBTB7A-6-10B).The up-or downregulation of GLUT1 secondary to ZBTB7A changes was also limited.The vitality and proliferation of the cells expressing low ZBTB7A were notably blocked by 2-DG.The cells expressing high ZBTB7A were not very sensitive to 2-DG.The growth of RNAi-5-8F xenografts was strongly suppressed by 2-DG.The activities of HK,PK,and LDH were suppressed by 2-DG in the cells expressing low ZBTB7A.RNAi-5-8F cells had the lowest 2-DG-induced lactate production.ZBTB7A directly suppressed the promoter region of GLUT1 to regulate GLUT1 expression.Thus,ZBTB7A controls the 2-DG-induced inhibition of glycolysis by affecting GLUT1.

Application of wastewater-based epidemiological monitoring of COVID-19 for disease surveillance in the city

Wastewater-based surveillance serves as a supplementary approach to clinical surveillance of COVID-19 during the epidemic.This study aimed to track the prevalence of the disease and the viral genetic variability through wastewater-based surveillance in the post-epidemic era.Between January to December 2023,samples were collected from the influent lines of two wastewater treatment plants(WWTPs),concentrated using PEG8000,and subjected to detection of the target genes ORF 1ab and N of SARS-CoV-2 via reverse transcriptional quantitative PCR(RT-qPCR).For next-generation sequencing(NGS),high-quality samples from both wastewater and clinical patients were selected.Weekly analysis were performed using R software to evaluate the correlation between the SARSCoV-2 RNA concentrations in wastewater and positive rate of reported cases,indicating a positive correlation.Genetic diversity patterns of SARS-CoV-2 in wastewater resembled those in the patient source based on Principal Coordinates Analysis(PCoA)with three clusters for different stages.The rise of RNA concentration in wastewater indicates the growth of cases and the emergence of new variants,serving as an early warning of potential viral mutations,disease outbreaks even possible epidemics.Furthermore,the genomic surveillance of wastewater could help identify new variants that may not be captured through population monitoring,especially when sample sizes are insufficient.Consequently,surveillance of SARS-CoV-2 in municipal wastewater has emerged as a reliable,earlywarning monitoring system for COVID-19 in the post-epidemic era.

An aggregate flow based scheduler in multi-task cooperated UAVs network

Unmanned Aerial Vehicles(UAVs)cooperative multi-task system has become the research focus in recent years.However,the existing network frameworks of UAVs are not flexible and efficient enough to deal with the complex multi-task scheduling,because they are not able to perceive the different features.In this paper,a novel cooperated UAVs network framework for multi-task scheduling is proposed.It is a three-layer network including a core layer,an aggregation layer and an execution layer,which enhances the efficiency of multi-task distribution,aggregation and transmission.Furthermore,an Aggre Gate Flow(AGFlow)based scheduler is dedicatedly designed to maximize the task completion rate,whose key point is to aggregate flows belonging to one task during the multi-task transmission of UAVs network and to allocate priority by calculating the urgency-level of each AGFlow.Simulation results demonstrate that,compared with that of state-of-the-art scheduler,the average task completion rate of AGFlow based scheduler is raised by 0.278.