Regulatory T cells（Tregs） play a pivotal role in the pathological development of hypertension.Helios,a transcription factor from the Ikaros family,was recently reported to be a bona fide marker for natural Tregs or ...Regulatory T cells（Tregs） play a pivotal role in the pathological development of hypertension.Helios,a transcription factor from the Ikaros family,was recently reported to be a bona fide marker for natural Tregs or activated Tregs with suppression function,however,little has been known about its role in hypertension.This study was aimed to find whether Helios＋ Tregs really play a vital role in hypertension.A total of 60 hypertension patients,and 46 normotension subjects were enrolled in this study.Frequencies of different Tregs subsets in peripheral blood were measured by flow cytometry.Plasma cytokine level was determined by ELISA.The m RNA expression of Foxp3 and Helios in purified CD4＋ T cells was detected by RT-PCR.Proportion of CD4＋Foxp3＋Helios＋ Tregs was decreased significantly in patients with hypertension（62.52%±1.18% vs.71.89%±1.03%,P〈0.01）,and it was correlated with plasma level of IL-10 positively（r=0.505,P〈0.05） and plasma level of IFN-gamma negatively（r=–0.551,P〈0.05）.The m RNA expression of Foxp3（7.23±1.00 vs.10.58±0.54,P〈0.05） and Helios（8.47±0.95 vs.15.52±2.0,P〈0.05） was decreased in CD4＋ T cells from patients with hypertension.Helios＋ Tregs were decreased in patients with hypertension and may play a protective role in hypertension progression.展开更多
Within the OECD/NEA Benchmarking of Thermal-Hydraulic Loop Models for Lead-Alloy Cooled Advanced Nuclear Energy Systems （LACANES）, the Institute for Neutron Physics and Reactor Technology takes part in the validatio...Within the OECD/NEA Benchmarking of Thermal-Hydraulic Loop Models for Lead-Alloy Cooled Advanced Nuclear Energy Systems （LACANES）, the Institute for Neutron Physics and Reactor Technology takes part in the validation process of system codes and the characterization of the thermal-hydraulic behavior of an experimental loop operated with liquid lead-bismuth-eutectics. To confirm the calculations, the results were compared to experimental data obtained from the HELIOS facility at the Seoul National University and to the results of other benchmark participants. The comparison showed that the calculations are within measurement tolerance but nevertheless discrepancies among the participants exist. The pressure drop estimation is determined by a variety of empirical correlations for the friction and the form loss coefficients. Hence, uncertainty and sensitivity measures were applied to find out which parameter is more relevant for the overall pressure drop. In the frame of this investigation, the system code TRACE and the software system for uncertainty and sensitivity, SUSA, were used. The results show that the total pressure drop varies between -30 and ＋15% related to the reference case.展开更多
Deep learning and multimodal remote and proximal sensing are widely used for analyzing plant and crop traits,but many of these deep learning models are supervised and necessitate reference datasets with image annotati...Deep learning and multimodal remote and proximal sensing are widely used for analyzing plant and crop traits,but many of these deep learning models are supervised and necessitate reference datasets with image annotations.Acquiring these datasets often demands experiments that are both labor-intensive and time-consuming.Furthermore,extracting traits from remote sensing data beyond simple geometric features remains a challenge.To address these challenges,we proposed a radiative transfer modeling framework based on the Helios 3-dimensional(3D)plant modeling software designed for plant remote and proximal sensing image simulation.The framework has the capability to simulate RGB,multi-/hyperspectral,thermal,and depth cameras,and produce associated plant images with fully resolved reference labels such as plant physical traits,leaf chemical concentrations,and leaf physiological traits.Helios offers a simulated environment that enables generation of 3D geometric models of plants and soil with random variation,and specification or simulation of their properties and function.This approach differs from traditional computer graphics rendering by explicitly modeling radiation transfer physics,which provides a critical link to underlying plant biophysical processes.Results indicate that the framework is capable of generating high-quality,labeled synthetic plant images under given lighting scenarios,which can lessen or remove the need for manually collected and annotated data.Two example applications are presented that demonstrate the feasibility of using the model to enable unsupervised learning by training deep learning models exclusively with simulated images and performing prediction tasks using real images.展开更多
Background:Malignant pleural effusion(MPE)is a complicated condition of patients with advanced tumors.Further dissecting the microenvironment of infiltrated immune cells and malignant cells are warranted to understand...Background:Malignant pleural effusion(MPE)is a complicated condition of patients with advanced tumors.Further dissecting the microenvironment of infiltrated immune cells and malignant cells are warranted to understand the immune-evasion mechanisms of tumor development and progression.Methods:The possible involvement of microRNAs(miRNAs)in malignant pleural fluid was investigated using small RNA sequencing.Regulatory T cell(Treg)markers(CD4,CD25,forkhead box P3),and Helios(also known as IKAROS Family Zinc Finger 2[IKZF2])were detected using flow cytometry.The expression levels of IKZF2 and miR-4772-3p were measured using quantitative real-time reverse transcription polymerase chain reaction.The interaction between miR-4772-3p and Helios was determined using dual-luciferase reporter assays.The effects of miR-4772-3p on Helios expression were evaluated using an in vitro system.Correlation assays between miR-4772-3p and functional molecules of Tregs were performed.Results:Compared with non-malignant controls,patients with non-small cell lung cancer had an increased Tregs frequency with Helios expression in the MPE and peripheral blood mononuclear cells.The verified downregulation of miR-4772-3p was inversely related to the Helios*Tregs frequency and Helios expression in the MPE.Overexpression of miR-4772-3p could inhib让Helios expression in in vitro experiments.However,ectopic expression of Helios in induced Tregs reversed the effects induced by miR-4772-3p overexpression.Additionally,miR-4772-3p could regulate Helios expression by directly targeting IKZF2 mRNA.Conclusion:Downregulation of miR-4772-3p,by targeting Helios,contributes to enhanced Tregs activities in the MPE microenvironment.展开更多
基金supported by the National Natural Science Foundation of China(No.81370324)
文摘Regulatory T cells（Tregs） play a pivotal role in the pathological development of hypertension.Helios,a transcription factor from the Ikaros family,was recently reported to be a bona fide marker for natural Tregs or activated Tregs with suppression function,however,little has been known about its role in hypertension.This study was aimed to find whether Helios＋ Tregs really play a vital role in hypertension.A total of 60 hypertension patients,and 46 normotension subjects were enrolled in this study.Frequencies of different Tregs subsets in peripheral blood were measured by flow cytometry.Plasma cytokine level was determined by ELISA.The m RNA expression of Foxp3 and Helios in purified CD4＋ T cells was detected by RT-PCR.Proportion of CD4＋Foxp3＋Helios＋ Tregs was decreased significantly in patients with hypertension（62.52%±1.18% vs.71.89%±1.03%,P〈0.01）,and it was correlated with plasma level of IL-10 positively（r=0.505,P〈0.05） and plasma level of IFN-gamma negatively（r=–0.551,P〈0.05）.The m RNA expression of Foxp3（7.23±1.00 vs.10.58±0.54,P〈0.05） and Helios（8.47±0.95 vs.15.52±2.0,P〈0.05） was decreased in CD4＋ T cells from patients with hypertension.Helios＋ Tregs were decreased in patients with hypertension and may play a protective role in hypertension progression.
文摘Within the OECD/NEA Benchmarking of Thermal-Hydraulic Loop Models for Lead-Alloy Cooled Advanced Nuclear Energy Systems （LACANES）, the Institute for Neutron Physics and Reactor Technology takes part in the validation process of system codes and the characterization of the thermal-hydraulic behavior of an experimental loop operated with liquid lead-bismuth-eutectics. To confirm the calculations, the results were compared to experimental data obtained from the HELIOS facility at the Seoul National University and to the results of other benchmark participants. The comparison showed that the calculations are within measurement tolerance but nevertheless discrepancies among the participants exist. The pressure drop estimation is determined by a variety of empirical correlations for the friction and the form loss coefficients. Hence, uncertainty and sensitivity measures were applied to find out which parameter is more relevant for the overall pressure drop. In the frame of this investigation, the system code TRACE and the software system for uncertainty and sensitivity, SUSA, were used. The results show that the total pressure drop varies between -30 and ＋15% related to the reference case.
基金supported,in whole or in part,by the Bill&Melinda Gates Foundation INV-0028630USDA NIFA Hatch project 7003146.
文摘Deep learning and multimodal remote and proximal sensing are widely used for analyzing plant and crop traits,but many of these deep learning models are supervised and necessitate reference datasets with image annotations.Acquiring these datasets often demands experiments that are both labor-intensive and time-consuming.Furthermore,extracting traits from remote sensing data beyond simple geometric features remains a challenge.To address these challenges,we proposed a radiative transfer modeling framework based on the Helios 3-dimensional(3D)plant modeling software designed for plant remote and proximal sensing image simulation.The framework has the capability to simulate RGB,multi-/hyperspectral,thermal,and depth cameras,and produce associated plant images with fully resolved reference labels such as plant physical traits,leaf chemical concentrations,and leaf physiological traits.Helios offers a simulated environment that enables generation of 3D geometric models of plants and soil with random variation,and specification or simulation of their properties and function.This approach differs from traditional computer graphics rendering by explicitly modeling radiation transfer physics,which provides a critical link to underlying plant biophysical processes.Results indicate that the framework is capable of generating high-quality,labeled synthetic plant images under given lighting scenarios,which can lessen or remove the need for manually collected and annotated data.Two example applications are presented that demonstrate the feasibility of using the model to enable unsupervised learning by training deep learning models exclusively with simulated images and performing prediction tasks using real images.
基金grants from the Precision Medicine Research of the National Key Research and Development Plan of China(No.2016YFC0905800)National Natural Science Foundation of China(Nos.81970031,81700028)+4 种基金National Science Foundation of Jiangsu Province(Nos.BK20171501,BK20171080,BK20181497)Jiangsu Province's Young Medical Talent Program,China(No.QNRC2016600)Jiangsu Provincial Health and Family Planning Commission Foundation(No.Q2017001)Taizhou Municipal Science and Technology Bureau(No.TS201726)Jiangsu Provincial Medical Youth Talent(No.QNRC2016508).
文摘Background:Malignant pleural effusion(MPE)is a complicated condition of patients with advanced tumors.Further dissecting the microenvironment of infiltrated immune cells and malignant cells are warranted to understand the immune-evasion mechanisms of tumor development and progression.Methods:The possible involvement of microRNAs(miRNAs)in malignant pleural fluid was investigated using small RNA sequencing.Regulatory T cell(Treg)markers(CD4,CD25,forkhead box P3),and Helios(also known as IKAROS Family Zinc Finger 2[IKZF2])were detected using flow cytometry.The expression levels of IKZF2 and miR-4772-3p were measured using quantitative real-time reverse transcription polymerase chain reaction.The interaction between miR-4772-3p and Helios was determined using dual-luciferase reporter assays.The effects of miR-4772-3p on Helios expression were evaluated using an in vitro system.Correlation assays between miR-4772-3p and functional molecules of Tregs were performed.Results:Compared with non-malignant controls,patients with non-small cell lung cancer had an increased Tregs frequency with Helios expression in the MPE and peripheral blood mononuclear cells.The verified downregulation of miR-4772-3p was inversely related to the Helios*Tregs frequency and Helios expression in the MPE.Overexpression of miR-4772-3p could inhib让Helios expression in in vitro experiments.However,ectopic expression of Helios in induced Tregs reversed the effects induced by miR-4772-3p overexpression.Additionally,miR-4772-3p could regulate Helios expression by directly targeting IKZF2 mRNA.Conclusion:Downregulation of miR-4772-3p,by targeting Helios,contributes to enhanced Tregs activities in the MPE microenvironment.
