Mujat Claudia, Greiner Cherry, Baldwin Amy, Levitt Jonathan M, Tian Fenghua, Stucenski Lee A, Hunter Martin, Kim Young L, Backman Vadim, Feld Michael, Münger Karl, Georgakoudi Irene
Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Int J Cancer. 2008 Jan 15;122(2):363-71. doi: 10.1002/ijc.23120.
Cellular transformation is associated with a number of phenotypic, cell biological, biochemical and metabolic alterations. The detection and classification of morphological cellular abnormalities represents the foundation of classical histopathology and remains an important mainstay in the clinic. More recently, significant effort is being expended towards the development of noninvasive modalities for the detection of cancer at an early stage, when therapeutic interventions are highly successful. Methods that rely on the detection of optical signatures represent one class of such approaches that have yielded promising results. In our study, we have applied two spectroscopic imaging approaches to systematically identify in a quantitative manner the fluorescence and light scattering signatures of subcellular abnormalities that are associated with cellular transformation. Notably, we find that tryptophan images reveal not only intensity but also localization differences between normal and human papillomavirus immortalized cells, possibly originating from changes in the expression, 3D packing and organization of proteins and protein-rich subcellular organelles. Additionally, we detect alterations in cellular metabolism through quantitative evaluation of the NADH, FAD fluorescence and the corresponding redox ratio. Finally, we use light scattering spectroscopy to identify differences in nuclear morphology and subcellular organization that occur from the nanometer to the micrometer scale. Thus, these optical approaches provide complementary biomarkers based on endogenous fluorescence and scattering cellular changes that occur at the molecular, biochemical and morphological level. Since they obviate the need for staining and tissue removal and can be easily combined, they provide desirable options for further clinical development and assessment.
细胞转化与许多表型、细胞生物学、生化和代谢改变相关。形态学细胞异常的检测和分类是经典组织病理学的基础,并且仍然是临床中的一个重要支柱。最近,人们正在投入大量精力开发早期检测癌症的非侵入性方法,此时治疗干预非常成功。依赖于光学特征检测的方法代表了一类已取得有希望结果的此类方法。在我们的研究中,我们应用了两种光谱成像方法,以定量方式系统地识别与细胞转化相关的亚细胞异常的荧光和光散射特征。值得注意的是,我们发现色氨酸图像不仅揭示了正常细胞与人乳头瘤病毒永生化细胞之间的强度差异,还揭示了定位差异,这可能源于蛋白质和富含蛋白质的亚细胞细胞器的表达、三维堆积和组织的变化。此外,我们通过对NADH、FAD荧光和相应氧化还原比的定量评估来检测细胞代谢的改变。最后,我们使用光散射光谱来识别从纳米到微米尺度发生的核形态和亚细胞组织的差异。因此,这些光学方法基于分子、生化和形态水平上发生的内源性荧光和散射细胞变化提供了互补的生物标志物。由于它们无需染色和组织切除,并且可以轻松组合,因此为进一步的临床开发和评估提供了理想的选择。