该文研究了microRNA-10(miR-10)家族miR-10a/b在斑马鱼胚胎发育时期神经管的表达及其对神经元发育的影响。通过斑马鱼胚胎整体原位杂交及Taq Man PCR技术分析研究miR-10a/b在斑马鱼胚胎期神经管的表达情况。利用吗啡啉(morpholino,Mo)...该文研究了microRNA-10(miR-10)家族miR-10a/b在斑马鱼胚胎发育时期神经管的表达及其对神经元发育的影响。通过斑马鱼胚胎整体原位杂交及Taq Man PCR技术分析研究miR-10a/b在斑马鱼胚胎期神经管的表达情况。利用吗啡啉(morpholino,Mo)修饰的反义寡核苷酸敲低技术建立miR-10a/b下调的斑马鱼模型,研究miR-10a/b下调后神经元发育异常的表型,并分析鉴定miR-10调控神经元发育的下游靶点。结果发现,受精后24 h(24 hours post fertilization,24 hpf)和48 hpf,miR-10a和miR-10b在斑马鱼神经管中高表达;miR-10a/b-Mo下调miR-10a/b的表达后,背神经管中神经元数量明显变少;下调Mib1(mindbomb E3 ubiquitin protein ligase 1)能挽救miR-10下调引起的神经元表型异常;miR-10a/b下调后胚胎神经管中Mib1表达显著上调。上述结果表明,miR-10a/b通过抑制Mib1的表达来影响斑马鱼神经元的发育。展开更多
OBJECTIVE To investigate the effect of microR NA-10a on the development of granulosa cells tumor(GCT).METHODS FISH was used to detect the miR-10a expression in tissues from GCT patients.Several functional assays were ...OBJECTIVE To investigate the effect of microR NA-10a on the development of granulosa cells tumor(GCT).METHODS FISH was used to detect the miR-10a expression in tissues from GCT patients.Several functional assays were performed to investigate the effect of miR-10a on proliferation,migration,invasion,spheroid formation and repressed anticancer drug-induced apoptosis of GCT in vitro.CRISPR-Cas9 system mediated miR-10a knockout in cancer GC and two mice GCT models were constructed to show the knockdown effect of miR-10a on cancer GC both in vitro and in vivo.RNA-seq,Western blot,luciferase reporter assay and FISH were used to identify potential direct functional targets and related pathways of miR-10a in cancer GC.RESULTS Strong miR-10a signal was detected in tissues from malignant GCT patients.And amplification of miR-10a negatively correlated with overall survival rate of ovarian cancer patients.In addition,ectopic expression of miR-10a significantly promoted cell proliferation,migration,invasion,spheroid formation and repressed anticancer drug-induced apoptosis in vitro.CRISPR-Cas9 system mediated miR-10a knockout in cancer GC showed opposite phenotype compared to miR-10a overexpressed cancer GC.By using xenograft and orthotropic models,the oncogenic role of miR-10a was further confirmed in vivo.RNA-seq,Western blot,luciferase reporter assay and FISH were used to identified PTEN/TET2 as direct functional targets of miR-10a in cancer GC;Akt and Wnt were found as two associated signaling pathways of miR-10a in cancer GC.CONCLUSION Taken together,our results demonstrate that the miR-10a is positively involved indevelopment of GCT.展开更多
针对玉米杂草识别过程中因光照变化导致识别精确度低及漏检问题,该研究以幼苗期玉米及其伴生杂草为研究对象,设计一种基于WEED-YOLOv10的玉米杂草检测方法。首先,通过无人机快速采集田间高分辨率图像构建了玉米杂草数据集;其次,以YOLOv...针对玉米杂草识别过程中因光照变化导致识别精确度低及漏检问题,该研究以幼苗期玉米及其伴生杂草为研究对象,设计一种基于WEED-YOLOv10的玉米杂草检测方法。首先,通过无人机快速采集田间高分辨率图像构建了玉米杂草数据集;其次,以YOLOv10n为基线网络,将骨干网络替换为ConvNeXtV2以增强特征提取能力;继而,为避免因模块拼接可能带来的信息冗余或丢失问题提升对光照干扰的鲁棒性,嵌入CBAM注意力机制;然后,引入SlimNeck结构优化网络计算效率,有效平衡了模型计算资源消耗与特征表征能力;最后,使用Focaler-EIoU损失函数进一步提高模型定位精度。试验结果表明,WEED-YOLOv10在精确率、召回率、mAP@50、mAP@50:95和F1分数上分别达到85.4%、88.1%、90.9%、48.5%和86.7%,较基准模型分别提升了2.4、2.9、3.5、7.0、2.6个百分点,各项精度指标均优于其他对比模型,部署在NVIDIA Jetson orin NX上的图片推理速度达到28.7帧/s,实现了检测速度与精度的平衡。进一步地,基于WEED-YOLOv10开发对靶喷药系统,该系统实时捕捉并解析来自模型的识别信号,实现对除草喷施装置的精准调控。田间试验结果显示,对靶喷药系统施药准确率为93.7%,喷洒覆盖率为90.5%,对靶偏差为1.45cm,杂草实时检测速度为20.1帧/s,实现了自动化的玉米田间除草作业。该研究为复杂光照场景下农田杂草治理提供了可靠的技术方案,对推动农业智能化作业具有重要意义。展开更多
文摘该文研究了microRNA-10(miR-10)家族miR-10a/b在斑马鱼胚胎发育时期神经管的表达及其对神经元发育的影响。通过斑马鱼胚胎整体原位杂交及Taq Man PCR技术分析研究miR-10a/b在斑马鱼胚胎期神经管的表达情况。利用吗啡啉(morpholino,Mo)修饰的反义寡核苷酸敲低技术建立miR-10a/b下调的斑马鱼模型,研究miR-10a/b下调后神经元发育异常的表型,并分析鉴定miR-10调控神经元发育的下游靶点。结果发现,受精后24 h(24 hours post fertilization,24 hpf)和48 hpf,miR-10a和miR-10b在斑马鱼神经管中高表达;miR-10a/b-Mo下调miR-10a/b的表达后,背神经管中神经元数量明显变少;下调Mib1(mindbomb E3 ubiquitin protein ligase 1)能挽救miR-10下调引起的神经元表型异常;miR-10a/b下调后胚胎神经管中Mib1表达显著上调。上述结果表明,miR-10a/b通过抑制Mib1的表达来影响斑马鱼神经元的发育。
基金supported by Natural Science Foundation of Anhui Province for Young Scholars(1708085QH200)
文摘OBJECTIVE To investigate the effect of microR NA-10a on the development of granulosa cells tumor(GCT).METHODS FISH was used to detect the miR-10a expression in tissues from GCT patients.Several functional assays were performed to investigate the effect of miR-10a on proliferation,migration,invasion,spheroid formation and repressed anticancer drug-induced apoptosis of GCT in vitro.CRISPR-Cas9 system mediated miR-10a knockout in cancer GC and two mice GCT models were constructed to show the knockdown effect of miR-10a on cancer GC both in vitro and in vivo.RNA-seq,Western blot,luciferase reporter assay and FISH were used to identify potential direct functional targets and related pathways of miR-10a in cancer GC.RESULTS Strong miR-10a signal was detected in tissues from malignant GCT patients.And amplification of miR-10a negatively correlated with overall survival rate of ovarian cancer patients.In addition,ectopic expression of miR-10a significantly promoted cell proliferation,migration,invasion,spheroid formation and repressed anticancer drug-induced apoptosis in vitro.CRISPR-Cas9 system mediated miR-10a knockout in cancer GC showed opposite phenotype compared to miR-10a overexpressed cancer GC.By using xenograft and orthotropic models,the oncogenic role of miR-10a was further confirmed in vivo.RNA-seq,Western blot,luciferase reporter assay and FISH were used to identified PTEN/TET2 as direct functional targets of miR-10a in cancer GC;Akt and Wnt were found as two associated signaling pathways of miR-10a in cancer GC.CONCLUSION Taken together,our results demonstrate that the miR-10a is positively involved indevelopment of GCT.
文摘针对玉米杂草识别过程中因光照变化导致识别精确度低及漏检问题,该研究以幼苗期玉米及其伴生杂草为研究对象,设计一种基于WEED-YOLOv10的玉米杂草检测方法。首先,通过无人机快速采集田间高分辨率图像构建了玉米杂草数据集;其次,以YOLOv10n为基线网络,将骨干网络替换为ConvNeXtV2以增强特征提取能力;继而,为避免因模块拼接可能带来的信息冗余或丢失问题提升对光照干扰的鲁棒性,嵌入CBAM注意力机制;然后,引入SlimNeck结构优化网络计算效率,有效平衡了模型计算资源消耗与特征表征能力;最后,使用Focaler-EIoU损失函数进一步提高模型定位精度。试验结果表明,WEED-YOLOv10在精确率、召回率、mAP@50、mAP@50:95和F1分数上分别达到85.4%、88.1%、90.9%、48.5%和86.7%,较基准模型分别提升了2.4、2.9、3.5、7.0、2.6个百分点,各项精度指标均优于其他对比模型,部署在NVIDIA Jetson orin NX上的图片推理速度达到28.7帧/s,实现了检测速度与精度的平衡。进一步地,基于WEED-YOLOv10开发对靶喷药系统,该系统实时捕捉并解析来自模型的识别信号,实现对除草喷施装置的精准调控。田间试验结果显示,对靶喷药系统施药准确率为93.7%,喷洒覆盖率为90.5%,对靶偏差为1.45cm,杂草实时检测速度为20.1帧/s,实现了自动化的玉米田间除草作业。该研究为复杂光照场景下农田杂草治理提供了可靠的技术方案,对推动农业智能化作业具有重要意义。
