Objective:Through integrated bioinformatics analysis,the goal of this work was to find new,characterised N7-methylguanosine modification-related long non-coding RNAs(m7G-lncRNAs)that might be used to predict the progn...Objective:Through integrated bioinformatics analysis,the goal of this work was to find new,characterised N7-methylguanosine modification-related long non-coding RNAs(m7G-lncRNAs)that might be used to predict the prognosis of laryngeal squamous cell carcinoma(LSCC).Methods:The clinical data and LSCC gene expression data for the current investigation were initially retrieved from the TCGA database&sanitised.Then,using co-expression analysis of m7G-associated mRNAs&lncRNAs&differential expression analysis(DEA)among LSCC&normal sample categories,we discovered lncRNAs that were connected to m7G.The prognosis prediction model was built for the training category using univariate&multivariate COX regression&LASSO regression analyses,&the model’s efficacy was checked against the test category data.In addition,we conducted DEA of prognostic m7G-lncRNAs among LSCC&normal sample categories&compiled a list of co-expression networks&the structure of prognosis m7G-lncRNAs.To compare the prognoses for individuals with LSCC in the high-&low-risk categories in the prognosis prediction model,survival and risk assessments were also carried out.Finally,we created a nomogram to accurately forecast the outcomes of LSCC patients&created receiver operating characteristic(ROC)curves to assess the prognosis prediction model’s predictive capability.Results:Using co-expression network analysis&differential expression analysis,we discovered 774 m7G-lncRNAs and 551 DEm7G-lncRNAs,respectively.We then constructed a prognosis prediction model for six m7G-lncRNAs(FLG−AS1,RHOA−IT1,AC020913.3,AC027307.2,AC010973.2 and AC010789.1),identified 32 DEPm7G-lncRNAs,analyzed the correlation between 32 DEPm7G-lncRNAs and 13 DEPm7G-mRNAs,and performed survival analyses and risk analyses of the prognosis prediction model to assess the prognostic performance of LSCC patients.By displaying ROC curves and a nomogram,we finally checked the prognosis prediction model's accuracy.Conclusion:By creating novel predictive lncRNA signatures for clinical diagnosis&therapy,our findings will contribute to understanding the pathogenetic process of LSCC.展开更多
Background:Cancer cells selectively promote the translation of oncogenic tran-scripts to stimulate cancer progression.Although growing evidence has revealed that tRNA modifications and related genes participate in thi...Background:Cancer cells selectively promote the translation of oncogenic tran-scripts to stimulate cancer progression.Although growing evidence has revealed that tRNA modifications and related genes participate in this process,their roles in head and neck squamous cell carcinoma(HNSCC)remain largely unchar-acterized.Here,we sought to investigate the function and mechanisms of the transfer RNA(tRNA)N7-methylguanosine(m'G)modification in regulating the occurrence and development of HNSCC.Methods:Cell lost of-function and gain-of function assays,xenograft models,conditional knockout and knockin mouse models were used to study the physi-ological functions of tRNA m'G modification in HNSCC tumorigenesis.tRNA modification and expression profiling,mRNA translation profiling and res-cue assays were performed to uncover the underlying molecular mechanisms.Single-cell RNA sequencing(scRNA seq)was conducted to explore the tumor microenvironment changes.Results:The tRNA.m7G methyltransferase complex components Methyltransferase-like 1(METTL1)/WD repeat domain 4(WDR4)were upregulated in HNSCC and associated with a poor prognosis.Functionally,METTL1/WDR4 promoted HNSCC progression and metastasis in cell-based and transgenic mouse models.Mechanistically,ablation of METTL1 reduced the m'G levels of 16 tRNAS,inhibiting the translation of a subset of oncogenic transcripts,including genes related to the phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin(PI3K/AKT/mTOR)signaling pathway.In addition,chemical modulators of the PI3K/Akt/mTOR signaling pathway reversed the effects of Mettll in mouse HNSCC.Furthermore,scRNA-seq results revealed that Mettll knockout in mouse tumor cells altered the immune landscape and cell-cell interaction between the tumor and stromal compartment.Conclusions:The tRNA m?G methyltransferase METTLI was found to promote the development and malignancy of HNSCC through regulating global mRNA translation,including the PI3K/AKT/mTOR signaling pathway,and found to alter immune landscape.METTLI could be a promising treatment target for HNSCC patients.展开更多
Interferon regulatory factor 7 plays a crucial role in the innate immune response.However,whether interferon regulatory factor 7-mediated signaling contributes to Parkinson's disease remains unknown.Here we report...Interferon regulatory factor 7 plays a crucial role in the innate immune response.However,whether interferon regulatory factor 7-mediated signaling contributes to Parkinson's disease remains unknown.Here we report that interferon regulatory factor 7 is markedly up-regulated in a 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced mouse model of Parkinson's disease and co-localizes with microglial cells.Both the selective cyclic guanosine monophosphate adenosine monophosphate synthase inhibitor RU.521 and the stimulator of interferon genes inhibitor H151 effectively suppressed interferon regulatory factor 7 activation in BV2 microglia exposed to 1-methyl-4-phenylpyridinium and inhibited transformation of mouse BV2 microglia into the neurotoxic M1 phenotype.In addition,si RNA-mediated knockdown of interferon regulatory factor 7 expression in BV2 microglia reduced the expression of inducible nitric oxide synthase,tumor necrosis factorα,CD16,CD32,and CD86 and increased the expression of the anti-inflammatory markers ARG1 and YM1.Taken together,our findings indicate that the cyclic guanosine monophosphate adenosine monophosphate synthase-stimulator of interferon genes-interferon regulatory factor 7 pathway plays a crucial role in the pathogenesis of Parkinson's disease.展开更多
棉田虫害的快速检测与准确识别是预防棉田虫害、提高棉花品质的重要前提。针对真实棉田环境下昆虫相似度高、背景干扰严重的问题,该研究提出一种ECSF-YOLOv7棉田虫害检测模型。首先,采用EfficientFormerV2作为特征提取网络,以加强网络...棉田虫害的快速检测与准确识别是预防棉田虫害、提高棉花品质的重要前提。针对真实棉田环境下昆虫相似度高、背景干扰严重的问题,该研究提出一种ECSF-YOLOv7棉田虫害检测模型。首先,采用EfficientFormerV2作为特征提取网络,以加强网络的特征提取能力并减少模型参数量;同时,将卷积注意力模块(convolution block attention module,CBAM)嵌入到模型的主干输出端,以增强模型对小目标的特征提取能力并削弱背景干扰;其次,使用GSConv卷积搭建Slim-Neck颈部网络结构,在减少模型参数量的同时保持模型的识别精度;最后,采用Focal-EIOU(focal and efficient IOU loss,Focal-EIOU)作为边界框回归损失函数,加速网络收敛并提高模型的检测准确率。结果表明,改进的ECSF-YOLOv7模型在棉田虫害测试集上的平均精度均值(mean average precision,mAP)为95.71%,检测速度为69.47帧/s。与主流的目标检测模型YOLOv7、SSD、YOLOv5l和YOLOX-m相比,ECSF-YOLOv7模型的mAP分别高出1.43、9.08、1.94、1.52个百分点,并且改进模型具有参数量更小、检测速度更快的优势,可为棉田虫害快速准确检测提供技术支持。展开更多
基金supported by a grant Hebei Provincial Health Commission project from the Foundation of Basic Research(No.20191843).
文摘Objective:Through integrated bioinformatics analysis,the goal of this work was to find new,characterised N7-methylguanosine modification-related long non-coding RNAs(m7G-lncRNAs)that might be used to predict the prognosis of laryngeal squamous cell carcinoma(LSCC).Methods:The clinical data and LSCC gene expression data for the current investigation were initially retrieved from the TCGA database&sanitised.Then,using co-expression analysis of m7G-associated mRNAs&lncRNAs&differential expression analysis(DEA)among LSCC&normal sample categories,we discovered lncRNAs that were connected to m7G.The prognosis prediction model was built for the training category using univariate&multivariate COX regression&LASSO regression analyses,&the model’s efficacy was checked against the test category data.In addition,we conducted DEA of prognostic m7G-lncRNAs among LSCC&normal sample categories&compiled a list of co-expression networks&the structure of prognosis m7G-lncRNAs.To compare the prognoses for individuals with LSCC in the high-&low-risk categories in the prognosis prediction model,survival and risk assessments were also carried out.Finally,we created a nomogram to accurately forecast the outcomes of LSCC patients&created receiver operating characteristic(ROC)curves to assess the prognosis prediction model’s predictive capability.Results:Using co-expression network analysis&differential expression analysis,we discovered 774 m7G-lncRNAs and 551 DEm7G-lncRNAs,respectively.We then constructed a prognosis prediction model for six m7G-lncRNAs(FLG−AS1,RHOA−IT1,AC020913.3,AC027307.2,AC010973.2 and AC010789.1),identified 32 DEPm7G-lncRNAs,analyzed the correlation between 32 DEPm7G-lncRNAs and 13 DEPm7G-mRNAs,and performed survival analyses and risk analyses of the prognosis prediction model to assess the prognostic performance of LSCC patients.By displaying ROC curves and a nomogram,we finally checked the prognosis prediction model's accuracy.Conclusion:By creating novel predictive lncRNA signatures for clinical diagnosis&therapy,our findings will contribute to understanding the pathogenetic process of LSCC.
基金National Natural Science Foundation of China,Grant/Award Numbers:81872409,82173362Natural Science Foundation of Guangdong Province,Grant/Award Numbers:2018A030313610,2019A1515110110,2020A1515010291+1 种基金The Open Funding of the State Key Laboratory of Oral Diseases,Grant/Award Number:SKLOD2021OF02and the use was approved by the Institutional Review Board of the First Affiliated Hospital of Sun Yat-Sen University(2016074).The nude mouse experi-ments performed were approved by the Laboratory Ani-mal Center of Sun Yat-SenUniversity(SYSU-IACUC-2021-000092).The transgenic mouse experiments performed were approved by the Laboratory Animal Center of Sun Yat-Sen University(SYSU-IACUC-2020-000569).
文摘Background:Cancer cells selectively promote the translation of oncogenic tran-scripts to stimulate cancer progression.Although growing evidence has revealed that tRNA modifications and related genes participate in this process,their roles in head and neck squamous cell carcinoma(HNSCC)remain largely unchar-acterized.Here,we sought to investigate the function and mechanisms of the transfer RNA(tRNA)N7-methylguanosine(m'G)modification in regulating the occurrence and development of HNSCC.Methods:Cell lost of-function and gain-of function assays,xenograft models,conditional knockout and knockin mouse models were used to study the physi-ological functions of tRNA m'G modification in HNSCC tumorigenesis.tRNA modification and expression profiling,mRNA translation profiling and res-cue assays were performed to uncover the underlying molecular mechanisms.Single-cell RNA sequencing(scRNA seq)was conducted to explore the tumor microenvironment changes.Results:The tRNA.m7G methyltransferase complex components Methyltransferase-like 1(METTL1)/WD repeat domain 4(WDR4)were upregulated in HNSCC and associated with a poor prognosis.Functionally,METTL1/WDR4 promoted HNSCC progression and metastasis in cell-based and transgenic mouse models.Mechanistically,ablation of METTL1 reduced the m'G levels of 16 tRNAS,inhibiting the translation of a subset of oncogenic transcripts,including genes related to the phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin(PI3K/AKT/mTOR)signaling pathway.In addition,chemical modulators of the PI3K/Akt/mTOR signaling pathway reversed the effects of Mettll in mouse HNSCC.Furthermore,scRNA-seq results revealed that Mettll knockout in mouse tumor cells altered the immune landscape and cell-cell interaction between the tumor and stromal compartment.Conclusions:The tRNA m?G methyltransferase METTLI was found to promote the development and malignancy of HNSCC through regulating global mRNA translation,including the PI3K/AKT/mTOR signaling pathway,and found to alter immune landscape.METTLI could be a promising treatment target for HNSCC patients.
基金supported by the National Natural Science Foundation of China,Nos.82171429,81771384a grant from Wuxi Municipal Health Commission,No.1286010241190480(all to YS)。
文摘Interferon regulatory factor 7 plays a crucial role in the innate immune response.However,whether interferon regulatory factor 7-mediated signaling contributes to Parkinson's disease remains unknown.Here we report that interferon regulatory factor 7 is markedly up-regulated in a 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced mouse model of Parkinson's disease and co-localizes with microglial cells.Both the selective cyclic guanosine monophosphate adenosine monophosphate synthase inhibitor RU.521 and the stimulator of interferon genes inhibitor H151 effectively suppressed interferon regulatory factor 7 activation in BV2 microglia exposed to 1-methyl-4-phenylpyridinium and inhibited transformation of mouse BV2 microglia into the neurotoxic M1 phenotype.In addition,si RNA-mediated knockdown of interferon regulatory factor 7 expression in BV2 microglia reduced the expression of inducible nitric oxide synthase,tumor necrosis factorα,CD16,CD32,and CD86 and increased the expression of the anti-inflammatory markers ARG1 and YM1.Taken together,our findings indicate that the cyclic guanosine monophosphate adenosine monophosphate synthase-stimulator of interferon genes-interferon regulatory factor 7 pathway plays a crucial role in the pathogenesis of Parkinson's disease.
文摘棉田虫害的快速检测与准确识别是预防棉田虫害、提高棉花品质的重要前提。针对真实棉田环境下昆虫相似度高、背景干扰严重的问题,该研究提出一种ECSF-YOLOv7棉田虫害检测模型。首先,采用EfficientFormerV2作为特征提取网络,以加强网络的特征提取能力并减少模型参数量;同时,将卷积注意力模块(convolution block attention module,CBAM)嵌入到模型的主干输出端,以增强模型对小目标的特征提取能力并削弱背景干扰;其次,使用GSConv卷积搭建Slim-Neck颈部网络结构,在减少模型参数量的同时保持模型的识别精度;最后,采用Focal-EIOU(focal and efficient IOU loss,Focal-EIOU)作为边界框回归损失函数,加速网络收敛并提高模型的检测准确率。结果表明,改进的ECSF-YOLOv7模型在棉田虫害测试集上的平均精度均值(mean average precision,mAP)为95.71%,检测速度为69.47帧/s。与主流的目标检测模型YOLOv7、SSD、YOLOv5l和YOLOX-m相比,ECSF-YOLOv7模型的mAP分别高出1.43、9.08、1.94、1.52个百分点,并且改进模型具有参数量更小、检测速度更快的优势,可为棉田虫害快速准确检测提供技术支持。
