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| 1 | SP1 governs primordial folliculogenesis by regulating pregranulosa cell development in mice显示文摘Establishment of the primordial follicle(PF)pool is pivotal for the female reproductive lifespan;however,the mechanism of primordial folliculogenesis is poorly understood.Here,the transcription factor SP1 was shown to be essential for PF formation in mice.Our results showed that SP1 is present in both oocytes and somatic cells during PF formation in the ovary.Knockdown of Sp1 expression,especially in pregranulosa cells,significantly suppressed nest breakdown,oocyte apoptosis,and PF formation,suggesting that SP1 expressed by somatic cells functions in the process of primordial folliculogenesis.We further demonstrated that SP1 governs the recruitment and maintenance of Forkhead box L2-positive(FOXL2^+)pregranulosa cells using an Lgr5-EGFP-IRES-CreER^T2(Lgr5-KI)reporter mouse model and a FOXL2^+ cell-specific knockdown model.At the molecular level,SP1 functioned mainly through manipulation of NOTCH2 expression by binding directly to the promoter of the Notch2 gene.Finally,consistent with the critical role of granulosa cells in follicle survival in vitro,massive loss of oocytes in SP1 knockdown ovaries was evidenced before puberty after the ovaries were tranSP1anted under the renal capsules.Conclusively,our results reveal that SP1 controls the establishment of the ovarian reserve by regulating pregranulosa cell development in the mammalian ovary. | Han Cai Bingying Liu Huarong Wang Guanghong Sun Lizhao Feng Ziqi Chen Jiaqi Zhou Jiawei Zhang Tuo Zhang Meina He Tingting Yang Qirui Guo Zhen Teng Qiliang Xin Bo Zhou Hua Zhang Guoliang Xia Chao Wang | 2020 | Journal of Molecular Cell Biology2020，12，3： | 3 |
| 2 | M^(2)LC-Net: A Multi-Modal Multi-Disease Long-Tailed Classification Network for Real Clinical Scenes显示文摘Leveraging deep learning-based techniques to classify diseases has attracted extensive research interest in recent years.Nevertheless,most of the current studies only consider single-modal medical images,and the number of ophthalmic diseases that can be classified is relatively small.Moreover,imbalanced data distribution of different ophthalmic diseases is not taken into consideration,which limits the application of deep learning techniques in realistic clinical scenes.In this paper,we propose a Multimodal Multi-disease Long-tailed Classification Network(M^(2)LC-Net)in response to the challenges mentioned above.M^(2)LC-Net leverages ResNet18-CBAM to extract features from fundus images and Optical Coherence Tomography(OCT)images,respectively,and conduct feature fusion to classify 11 common ophthalmic diseases.Moreover,Class Activation Mapping(CAM)is employed to visualize each mode to improve interpretability of M^(2)LC-Net.We conduct comprehensive experiments on realistic dataset collected from a Grade III Level A ophthalmology hospital in China,including 34,396 images of 11 disease labels.Experimental results demonstrate effectiveness of our proposed model M^(2)LC-Net.Compared with the stateof-the-art,various performance metrics have been improved significantly.Specifically,Cohen’s kappa coefficient κ has been improved by 3.21%,which is a remarkable improvement. | Zhonghong Ou Wenjun Chai Lifei Wang Ruru Zhang Jiawen He Meina Song Lifei Yuan Shengjuan Zhang Yanhui Wang Huan Li Xin Jia Rujian Huang | 2021 | China Communications2021，18，9： | 0 |
| 3 | Super-resolution imaging of the dynamic cleavage of intercellular tunneling nanotubes显示文摘As a new method of cell-cell communication,tunneling nanotubes(TNTs)play important roles in cell-cell signaling and mass exchanges.However,a lack of powerful tools to visualize dynamic TNTs with high temporal/spatial resolution restricts the exploration of their formation and cleavage,hindering the complete understanding of its mechanism.Herein,we present the first example of using stochastic optical reconstruction microscopy(STORM)to observe the tube-like structures of TNTs linking live cells with an easily prepared fluorescent dye.Because of this new imaging microscopy,the cleavage process of TNTs was observed with a high spatial resolution. | Wanjun GONG Wenhui PAN Ying HE Meina HUANG Jianguo ZHANG Zhenyu GU Dan ZHANG Zhigang YANG Junie QU | 2020 | Frontiers of Optoelectronics2020，13，4： | 0 |
| 4 | Research Report on the Effect of Network Teaching Mode of Art Courses under the Concept of Ideological and Political Education显示文摘Since the National Conference on ideological and political work in Colleges and Universities,the Party Committee of Beijing United University has closely focused on the fundamental problem of“what kind of person to train,how to train and for whom to train”,and regards the course of ideological and political thinking as the fundamental measure to carry out the fundamental task of building up people by virtue.In 2020,in the event of the new epidemic situation,the school actively implemented the work plan of“stopping classes and not stopping learning”in Beijing,and opened the historic revolution of the whole school network teaching in education and teaching.In recent years,Beijing Union University in the“curriculum ideological and political”construction is constantly open up.In order to promote teaching practice and teaching research,the school teacher teaching development center set up the first teaching promoters of Beijing United University in 2019.The project team was set up by the school teaching promoters to study the effect of the online teaching mode of art courses under the concept of ideological and political education. | Meina Mao Jianxin Ma Hang Xia Yifan He | 2021 | Review of Educational Theory2021，4，1： | 0 |
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