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| 1 | The RNA-binding protein Musashi2 governs osteoblast-adipocyte lineage commitment by suppressing PPARγsignaling显示文摘Osteoporosis caused by aging is characterized by reduced bone mass and accumulated adipocytes in the bone marrow cavity. How the balance between osteoblastogenesis and adipogenesis from bone marrow mesenchymal stem cells(BMSCs) is lost upon aging is still unclear. Here, we found that the RNA-binding protein Musashi2(Msi2) regulates BMSC lineage commitment. Msi2 is commonly enriched in stem cells and tumor cells. We found that its expression was downregulated during adipogenic differentiation and upregulated during osteogenic differentiation of BMSCs. Msi2 knockout mice exhibited decreased bone mass with substantial accumulation of marrow adipocytes, similar to aging-induced osteoporosis. Depletion of Msi2 in BMSCs led to increased adipocyte commitment. Transcriptional profiling analysis revealed that Msi2 deficiency led to increased PPARγ signaling.RNA-interacting protein immunoprecipitation assays demonstrated that Msi2 could inhibit the translation of the key adipogenic factor Cebpα, thereby inhibiting PPAR signaling. Furthermore, the expression of Msi2 decreased significantly during the aging process of mice, indicating that decreased Msi2 function during aging contributes to abnormal accumulation of adipocytes in bone marrow and osteoporosis. Thus, our results provide a putative biochemical mechanism for aging-related osteoporosis, suggesting that modulating Msi2 function may benefit the treatment of bone aging. | Jinlong Suo Sihai Zou Jinghui Wang Yujiao Han Lingli Zhang Chenchen Lv Bo Jiang Qian Ren Long Chen Lele Yang Ping Ji Xianyou Zheng Ping Hu Weiguo Zou | 2022 | Bone Research2022，10，3： | 5 |
| 2 | Calculation method of proppant embedment depth in hydraulic fracturing显示文摘For the issue of proppant embedment in hydraulic fracturing,a new calculation method of embedment depth considering elastic-plastic deformation was proposed based on the mechanism of proppant embedment into rocks by combining proppant embedment constitutive equations and contact stresses on the rock-proppant system.And factors affecting embedment depth of proppant were analyzed using the new method.Compared with the elastic embedment model,the results calculated by the new method match well with the experimental data,proving the new method is more reliable and more convenient to make theoretical calculation and analysis.The simulation results show the process of proppant embedment into rocks is mainly elastic-plastic.The embedment depth of monolayer proppants decreases with higher proppant concentration.Under multi-layer distribution conditions,increasing the proppant concentration will not change its embedment depth.The larger the proppant embedment ratio,the more the stress-bearing proppants,and the smaller the embedment depth will be.The embedment depth under higher closure stress is more remarkable.The embedment depth increased with the drawdown of fluid pressure in the fracture.Increasing proppant radius or the ratio of proppant Young’s modulus to rock Young’s modulus can reduce the proppant embedment depth. | CHEN Ming ZHANG Shicheng LIU Ming MA Xinfang ZOU Yushi ZHOU Tong LI Ning LI Sihai | 2018 | Petroleum Exploration and Development2018，45，1： | 0 |
| 3 | A custom-designed panel sequencing study in 201 Chinese patients with craniosynostosis revealed novel variants and distinct mutation spectra显示文摘Craniosynostosis is a rare disease in which one or more of the cranial sutures in an infant skull prematurely fuses by turning into bone,with a prevalence of 1 in 2,000—2,500 individuals from reports in Western countries(Wilkie et al.,2017).It may restrict the growth of the brain,leading to some degree of morphological and functional abnormalities,and may affect the neurocognitive function of infants(Lattanzi et al.,2017).Genetic variants underlying craniosynostosis have been identified in cohort studies in Western populations. | Yingzhi Wu Meifang Peng Jieyi Chen Jinlong Suo Sihai Zou Yanqing Xu Andrew O.M.Wilkie Weiguo Zou Xiongzheng Mu Sijia Wang | 2021 | Journal of Genetics and Genomics2021，48，2： | 0 |
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