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作 者:徐昊[1] 陈创[2] 刘春梅[1] 彭俊[1] 李雁[2] 张志凌[1] 唐宏武[1]
机构地区:[1]武汉大学化学与分子科学学院生物医学分析化学教育部重点实验室,湖北武汉430072 [2]武汉大学中南医院肿瘤科,肿瘤生物学行为湖北省重点实验室,湖北武汉430071
出 处:《光谱学与光谱分析》2009年第12期3216-3219,共4页Spectroscopy and Spectral Analysis
基 金:国家自然科学基金项目(10874135);国家自然科学基金创新群体项目(20621502)资助
摘 要:自行研制的多功能阿达玛变换光谱成像显微系统具有获取微小组织样品的高分辨荧光光谱和荧光图像的能力。由于量子点具有激发区域宽、可以一元激发多元发射、荧光峰形狭窄、亮度高、抗光漂白能力强等特点,非常适合作为荧光标记物应用于光谱显微成像分析领域。采用荧光发射波长为610nm的量子点荧光探针分别免疫标记乳腺癌标志物人表皮生长因子受体2(HER2)和雌激素受体(ER),通过激光诱导荧光法和荧光原位光谱成像法分析癌组织中HER2和ER的光谱特征和定量信息,采用阿达玛变换光谱显微成像系统对阳性乳腺癌组织与阴性正常乳腺组织进行对比分析,其结果表明该仪器可有效用于肿瘤标志物在癌组织内的定量研究,是定量检测乳腺癌HER2和ER分布的新技术。该技术建立的针对肿瘤标志物的半定量和定量分析方法,所得结果优于常规的定性分析方法。Multi-functional Hadamard transform spectral microscopic imaging system was employed to provide high-resolutional fluorescence spectrum and image of tiny samples such as single cells and tissues.Semiconductor quantum dots(QDs)have several photo-physical advantages such as broad excitation spectrum,multi-color fluorescence with one single wavelength light source,narrow fluorescence emission peak,high photostability and long fluorescence lifetime,which make QDs good markers of the fluorescence spectral imaging microscopic analysis in biomedical applications.Based on immunostaining with quantum dots(QDs)emitting at 610 nm to tag and trace two breast cancer biomarkers human epidermal growth factor receptor 2(HER2)and estrogen receptor(ER)in human breast cancer tissue with in situ fluorescence imaging,sensitive spectra and images were obtained.Moreover,by comparing the differences of fluorescence spectra and 4D images between positive samples,(the human breast cancer tissues)and negative control,(the normal human breast tissues)by Hadamard transform spectral microscopic imaging system,a method to evaluate tumor malignancy of breast cancer tissues based on the analysis of distribution of HER2 and ER was proposed.The results show that the Hadamard system can be applied to visualize and quantitatively measure the subcellular proteins such as HER2 and ER inside the tumor tissues.The method developed with the above technique can be applied to quantitatively evaluate tumor malignancy and is advantageous over conventional method.
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