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| 1 | Phosphorylated E2F1 ts stabilized by nuclear USPll to drive PeglO gene expression and activate lung epithelial cells显示文摘 | Dan Wang Jing Zhao Shuang Li Jianxin Wei Ling Nan Rama K. Mallampalli Nathaniel M. Weathington Haichun Ma Yutong Zhao | 2018 | Journal of Molecular Cell Biology2018，10，1： | 3 |
| 2 | Predictive factors for radi- ation-indueed pulmonary toxicity after three-dimensional conform- al chemoradiation in locally advanced non-small-cell lung cancer 显示文摘 | Moreno M Aristu J Ramas LI | 2007 | Clin Transl Oncol2007，9，9： | 1 |
| 3 | HTR2A agonists play a therapeutic role by restricting ILC2 activation in papain-induced lung inflammation显示文摘Group 2 innate lymphoid cells(ILC2s)are a category of heterogeneous cells that produce the cytokines IL-5 and IL-13,which mediate the type 2 immune response.However,specific drug targets on lung ILC2s have rarely been reported.Previous studies have shown that type 2 cytokines,such as IL-5 and IL-13,are related to depression.Here,we demonstrated the negative correlation between the depression-associated monoamine neurotransmitter serotonin and secretion of the cytokines IL-5 and IL-13 by ILC2s in individuals with depression.Interestingly,serotonin ameliorates papain-induced lung inflammation by suppressing ILC2 activation.Our data showed that the serotonin receptor HTR2A was highly expressed on ILC2s from mouse lungs and human PBMCs.Furthermore,an HTR2A selective agonist(DOI)impaired ILC2 activation and alleviated the type 2 immune response in vivo and in vitro.Mice with ILC2-specific depletion of HTR2A(Il5^(cre/+)·Htr2a^(flox/flox)mice)abolished the DOI-mediated inhibition of ILC2s in a papain-induced mouse model of inflammation.In conclusion,serotonin and DOI could restrict the type 2 lung immune response,indicating a potential treatment strategy for type 2 lung inflammation by targeting HTR2A on ST2+ILC2s. | Zhishuo Wang Chenghua Yan Qizhen Du Yuying Huang Xuezhen Li Dan Zeng Ruizhi Mao Rama Krishna Gurram Shipeng Cheng Wangpeng Gu Lin Zhu Weiguo Fan Liyan Ma Zhiyang Ling Ju Qiu Dangsheng Li Enmei Liu Yaguang Zhang Yiru Fang Jinfang Zhu Bing Sun | 2023 | Cellular & Molecular Immunology2023，20，4： | 1 |
| 4 | Highly efficient large volume flow electmporation 显示文摘 | Li L H Rama S Steohanie F | 2002 | Technology in Cancer Research and Treatmerit2002，1，5： | 1 |
| 5 | Encapsulation of 2-amino-2-methyl-l-propanol with tetraethyl orthosilicate for C02 capture显示文摘Carbon capture is widely recognised as an essential strategy to meet global goals for climate protection.Although various C02 capture technologies including absorption,adsorption and membrane exist,they are not yet mature for post-combustion power plants mainly due to high energy penalty.Hence researchers are concentrating on developing non-aqueous solvents like ionic liquids,C 02-binding organic liquids,nanoparticle hybrid materials and microencapsulated sorbents to minimize the energy consumption for carbon capture.This research aims to develop a novel and efficient approach by encapsulating sorbents to capture C02 in a cold environment.The conventional emulsion technique was selected for the microcapsule formulation by using 2-amino-2-methyl-l-propanol(AMP)as the core sorbent and silicon dioxide as the shell.This paper reports the findings on the formulated microcapsules including key formulation parameters,microstructure,size distribution and thermal cycling stability.Furthermore,the effects of microcapsule quality and absorption temperature on the C02 loading capacity of the microcapsules were investigated using a self-developed pressure decay method.The preliminary results have shown that the AMP microcapsules are promising to replace conventional sorbents. | Sidra Rama Yan Zhang Fideline Tchuenbou-Magaia Yulong Ding Yongliang Li | 2019 | Frontiers of Chemical Science and Engineering2019，13，4： | 1 |
| 6 | Tumor Necrosis Factor-α Mediates Cardiac Remodeling and Ventricular Dysfunction After Pressure Overload State显示文摘 | Mei Sun Manyin Chen Fayez Dawood Urszula Zurawska Jeff Y. Li Thomas Parker Zamaneh Kassiri Lorrie A. Kirshenbaum Malcolm Arnold Rama Khokha Peter P. Liu | 2007 | Circulation2007，，11： | 1 |
| 7 | Tumor Necrosis Factor-α Mediates Cardiac Remodeling and Ventricular Dysfunction After Pressure Overload State显示文摘 | Mei Sun Manyin Chen Fayez Dawood Urszula Zurawska Jeff Y. Li Thomas Parker Zamaneh Kassiri Lorrie A. Kirshenbaum Malcolm Arnold Rama Khokha Peter P. Liu | 2007 | Circulation2007，，11： | 1 |
| 8 | Author Correction:Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic Piezoresponse Force Spectroscopy显示文摘The original version of this Article did not acknowledge Rama K.Vasudevan(vasudevanrk@ornl.gov)as a corresponding author.This has now been corrected in both the PDF and HTML versions of the Article. | Kyle P.Kelley Linglong Li Yao Ren Yoshitaka Ehara Hiroshi Funakubo Suhas Somnath Stephen Jesse Ye Cao Ramakrishnan Kannan Rama K.Vasudevan Sergei V.Kalinin | 2020 | npj Computational Materials2020，，1： | 0 |
| 9 | Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic Piezoresponse Force Spectroscopy显示文摘Spatially resolved time and voltage-dependent polarization dynamics in PbTiO3 thin films is explored using dynamic piezoresponse force microscopy(D-PFM)in conjunction with interferometric displacement sensing.This approach gives rise to 4D data sets containing information on bias-dependent relaxation dynamics at each spatial location without long-range electrostatic artifacts.To interpret these data sets in the absence of defined physical models,we employ a non-negative tensor factorization method which clearly presents the data as a product of simple behaviors allowing for direct physics interpretation.Correspondingly,we perform phase-field modeling finding the existence of‘hard’and‘soft’domain wall edges.This approach can be extended to other multidimensional spectroscopies for which even exploratory data analysis leads to unsatisfactory results due to many components in the decomposition. | Kyle P.Kelley Linglong Li Yao Ren Yoshitaka Ehara Hiroshi Funakubo Suhas Somnath Stephen Jesse Ye Cao Ramakrishnan Kannan Rama K.Vasudevan Sergei V.Kalinin | 2020 | npj Computational Materials2020，，1： | 0 |
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