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        Identification of Nucleolin as a Lipid-Raft-Dependent Beta1-Integrin-Interacting Protein in A375 Cell Migration

        Jiajia Bi,Xianlu Zeng,Ruifei Wang,Yue Zhang,Xiaoqing Han,Khamal Kwesi Ampah,Wenguang Liu 한국분자세포생물학회 2013 Molecules and cells Vol.36 No.6

        Lipid rafts are related to cell surface receptor function. Integrin is a major surface receptor protein in cell adhesion and migration on the extracellular matrix (ECM). Here, we showed that lipid rafts played a critical role in human melanoma A375 cell spreading and migration on fibronectin; an important component of the ECM that interacts with 1 integrin. We found that the disruption of lipid rafts did not markedly inhibit the expression and activation of 1 integrin. By coimmunoprecipitation and mass spectrometry, we investigated the influence of lipid rafts on the 1 integrin complex and identified nucleolin as a potential lipid-raft-dependent 1-integrin-interacting protein. Upon confirmation of the interaction between 1 integrin and nucleolin, further studies revealed that nucleolin colocalized with 1 integrin in lipid rafts and raft disruption interrupted their association. In addition, knockdown of nucle-olin markedly attenuated A375 cell spreading and migration on fibronectin. Taken together, we demonstrated that nucleolin is a critical lipid-raft-dependent 1-integrin-inte-racting protein in A375 cell spreading and migration on fibronectin.

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        Parameterized Modeling of Spatially Varying PSF for Lens Aberration and Defocus

        Wang Chao,Chen Juan,Jia Hongguang,Shi Baosong,Zhu Ruifei,Wei Qun,Yu Linyao,Ge Mingda 한국광학회 2015 Current Optics and Photonics Vol.19 No.2

        Image deblurring by a deconvolution method requires accurate knowledge of the blur kernel. Existingpoint spread function (PSF) models in the literature corresponding to lens aberrations and defocus are eitherparameterized and spatially invariant or spatially varying but discretely defined. In this paper, aparameterized model is developed and presented for a PSF which is spatially varying due to lens aberrationsand defocus in an imaging system. The model is established from the Seidel third-order aberrationcoefficient and the Hu moment. A skew normal Gauss model is selected for parameterized PSF geometrystructure. The accuracy of the model is demonstrated with simulations and measurements for a defocusedinfrared camera and a single spherical lens digital camera. Compared with optical software Code V, thevisual results of two optical systems validate our analysis and proposed method in size, shape and direction. Quantitative evaluation results reveal the excellent accuracy of the blur kernel model

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