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拉曼微光谱技术对口腔鳞状细胞癌细胞的成像研究。

Imaging of Oral SCC Cells by Raman Micro-Spectroscopy Technique.

机构信息

Division of Dentistry and Oral Surgery, Fukui General Hospital, Egami, Fukui 910-8561, Japan.

Department of Rehabilitation Medicine, Fukui College of Health Sciences, Egami, Fukui 910-3190, Japan.

出版信息

Molecules. 2021 Jun 15;26(12):3640. doi: 10.3390/molecules26123640.

DOI:10.3390/molecules26123640
PMID:34203597
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8232100/
Abstract

We used Raman micro-spectroscopy technique to analyze the molecular changes associated with oral squamous cell carcinoma (SCC) cells in the form of frozen tissue. Previously, Raman micro-spectroscopy technique on human tissue was mainly based on spectral analysis, but we worked on imaging of molecular structure. In this study, we evaluated the distribution of four components at the cell level (about 10 μm) to describe the changes in protein and molecular structures of protein belonging to malignant tissue. We analyzed ten oral SCC samples of five patients without special pretreatments of the use of formaldehyde. We obtained cell level images of the oral SCC cells at various components (peak at 935 cm: proline and valine, 1004 cm: phenylalanine, 1223 cm: nucleic acids, and 1650 cm: amide I). These mapping images of SCC cells showed the distribution of nucleic acids in the nuclear areas; meanwhile, proline and valine, phenylalanine, and amide I were detected in the cytoplasm areas of the SCC cells. Furthermore, the peak of amide I in the cancer area shifts to the higher wavenumber side, which indicates the α-helix component may decrease in its relative amounts of protein in the β-sheet or random coil conformation. Imaging of SCC cells with Raman micro-spectroscopy technique indicated that such a new observation of cancer cells is useful for analyzing the detailed distribution of various molecular conformation within SCC cells.

摘要

我们使用拉曼微光谱技术分析了冷冻组织中与口腔鳞状细胞癌(SCC)细胞相关的分子变化。以前,拉曼微光谱技术主要基于光谱分析,但我们致力于分子结构的成像。在这项研究中,我们评估了细胞水平(约 10 μm)的四个成分的分布,以描述属于恶性组织的蛋白质和分子结构的变化。我们分析了五名患者的十份口腔 SCC 样本,没有对福尔马林的特殊预处理。我们获得了各种成分的口腔 SCC 细胞的细胞水平图像(935 cm 处的峰:脯氨酸和缬氨酸,1004 cm 处的峰:苯丙氨酸,1223 cm 处的峰:核酸,1650 cm 处的峰:酰胺 I)。这些 SCC 细胞的映射图像显示了核酸在核区域的分布;同时,在 SCC 细胞的细胞质区域中检测到脯氨酸和缬氨酸、苯丙氨酸和酰胺 I。此外,癌症区域的酰胺 I 峰向较高波数侧移动,这表明α-螺旋成分在β-折叠或无规卷曲构象中的蛋白质相对含量可能减少。拉曼微光谱技术对 SCC 细胞的成像表明,这种对癌细胞的新观察结果有助于分析 SCC 细胞内各种分子构象的详细分布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/5529db559e46/molecules-26-03640-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/9051d0245cb9/molecules-26-03640-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/069e5c56dc29/molecules-26-03640-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/91d8727c2dcd/molecules-26-03640-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/f972b5b9d61f/molecules-26-03640-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/303f6e8c57cf/molecules-26-03640-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/5529db559e46/molecules-26-03640-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/9051d0245cb9/molecules-26-03640-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/069e5c56dc29/molecules-26-03640-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/91d8727c2dcd/molecules-26-03640-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/f972b5b9d61f/molecules-26-03640-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/303f6e8c57cf/molecules-26-03640-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46a/8232100/5529db559e46/molecules-26-03640-g006.jpg

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J Med Imaging (Bellingham). 2019 Jul;6(3):036001. doi: 10.1117/1.JMI.6.3.036001. Epub 2019 Aug 9.
3
Investigation on the Cancer Invasion and Metastasis of Skin Squamous Cell Carcinoma by Raman Spectroscopy.
拉曼光谱研究皮肤鳞状细胞癌的侵袭和转移。
Molecules. 2019 May 30;24(11):2059. doi: 10.3390/molecules24112059.
4
Current Advances in the Application of Raman Spectroscopy for Molecular Diagnosis of Cervical Cancer.拉曼光谱在宫颈癌分子诊断中的应用研究进展
Biomed Res Int. 2015;2015:561242. doi: 10.1155/2015/561242. Epub 2015 Jun 9.
5
Raman spectroscopy for the detection of cancers and precancers.用于检测癌症和癌前病变的拉曼光谱学。
J Biomed Opt. 1996 Jan;1(1):31-70. doi: 10.1117/12.227815.
6
Micro-Raman spectroscopy for optical pathology of oral squamous cell carcinoma.用于口腔鳞状细胞癌光学病理学研究的显微拉曼光谱技术
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7
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