人肺鱗癌細(xì)胞SK-MES-1介電頻譜特性研究
本文選題:介電譜 切入點:肺鱗癌細(xì)胞 出處:《寧波大學(xué)》2015年碩士論文
【摘要】:目的:作為一項成熟的,具備完善測量手段和分析方法的頻譜技術(shù),介電譜的應(yīng)用范圍已經(jīng)從最初的物理學(xué)領(lǐng)域擴(kuò)展到生物學(xué)和醫(yī)學(xué)等學(xué)科。本論文以細(xì)胞懸浮液中人肺癌細(xì)胞的生物學(xué)變化對應(yīng)的介電響應(yīng)為主要研究內(nèi)容,探討將生物介電譜測量和分析技術(shù)應(yīng)用到人肺癌癥篩查,診斷,以及癌細(xì)胞分型等臨床需求中的可行性。方法:本論文首先在100 Hz~100 MHz交變電場頻率范圍內(nèi),使用安捷倫4294A阻抗分析儀和兩電極的測量池,對人正常肺上皮細(xì)胞BEAS-2B和人肺鱗癌細(xì)胞SK-MES-1兩種細(xì)胞不同細(xì)胞體積分?jǐn)?shù)的懸浮液進(jìn)行介電測量。然后結(jié)合三項式Cole-Cole方程和單殼物理模型對測量得到的介電譜進(jìn)行分析,應(yīng)用非線性最小二乘曲線擬合技術(shù)提取ColeCole模型參數(shù)和細(xì)胞形態(tài)學(xué)參數(shù)。最后通過分析BEAS-2B和SK-MES-1的介電譜特征參數(shù)和解析模型參數(shù)差異,探討在實驗條件下實現(xiàn)肺癌細(xì)胞與正常細(xì)胞分型的可行性和具體實施細(xì)節(jié)。本論文還嘗試從生物物理學(xué)角度為人肺鱗癌細(xì)胞的病理學(xué)研究提供輔助信息,并結(jié)合細(xì)胞電鏡和光鏡照片討論介電譜差異與細(xì)胞形態(tài)學(xué)變化之間的關(guān)系。結(jié)果:1肺鱗癌細(xì)胞的介電常數(shù)較正常細(xì)胞的介電常數(shù)低(5.81%),但肺鱗癌細(xì)胞的電導(dǎo)率較正常細(xì)胞的電導(dǎo)率高(12.25%)。2 BEAS-2B和SK-MES-1細(xì)胞懸浮液的介電譜、電導(dǎo)率譜、復(fù)平面圖和介電損耗譜均表現(xiàn)有細(xì)胞懸浮液體積分?jǐn)?shù)依存性。3 BEAS-2B和SK-MES-1細(xì)胞懸浮液在100 Hz~100 MHz頻率范圍均包含α和β兩個介電弛豫。4對BEAS-2B和SK-MES-1細(xì)胞懸浮液的介電譜進(jìn)行Cole-Cole模型分析,需要使用三項式Cole-Cole方程以獲得滿足精度要求的擬合結(jié)果。這表明兩類細(xì)胞懸浮液的介電譜均對應(yīng)三個特征頻率,分別表征了不同頻率段的外加電場激發(fā)產(chǎn)生的雙電層中對離子極化,以及細(xì)胞膜和核膜處的界面極化。5應(yīng)用Cole-Cole模型分析細(xì)胞懸浮液的介電譜得到的三個特征頻率(fc1,fc2,fc3)不受細(xì)胞體積分?jǐn)?shù)的影響。統(tǒng)計學(xué)分析結(jié)果顯示特征頻率可以作為區(qū)分BEAS-2B和SKMES-1的依據(jù)。6應(yīng)用單殼球形細(xì)胞物理模型對兩類細(xì)胞的介電譜進(jìn)行解析,得到的物理模型參數(shù)差異不僅可以體現(xiàn)兩細(xì)胞的介電譜差異,而且結(jié)合兩細(xì)胞的電鏡和光鏡照片結(jié)果,可以解釋細(xì)胞癌變后形態(tài)學(xué)變化與介電差異的關(guān)系。結(jié)論:本論文的結(jié)果表明人正常肺上皮細(xì)胞BEAS-2B和人肺鱗癌細(xì)胞SK-MES-1的介電譜具有明顯差異;贑ole-Cole模型和物理模型,結(jié)合曲線擬合技術(shù)可以提取特征頻率等模型參數(shù),特征化了兩類細(xì)胞的介電譜差異,可以用做細(xì)胞分型的重要依據(jù),為基于生物介電譜技術(shù)的人肺癌細(xì)胞分型等應(yīng)用提供了有力的證明。
[Abstract]:Objective: as a mature spectrum technology with perfect means of measurement and analysis, The application of dielectric spectroscopy has been extended from physics to biology and medicine. In this thesis, the dielectric response of human lung cancer cells in cell suspensions is the main research content. To explore the feasibility of applying biological dielectric spectrum measurement and analysis technology to the clinical requirements of human lung cancer screening, diagnosis, and cancer cell typing. Methods: in this paper, the frequency of 100 Hz~100 MHz AC electric field was first measured. Using the Agilent 4294A impedance analyzer and a two-electrode measuring cell, The dielectric properties of human normal lung epithelial cells (BEAS-2B) and human lung squamous cell carcinoma (SK-MES-1) cells with different cell volume fraction were measured. The dielectric spectra were analyzed by using trinomial Cole-Cole equation and single-shell physical model. The nonlinear least square curve fitting technique is used to extract the parameters of ColeCole model and cell morphology. Finally, the difference of dielectric spectrum characteristic parameters and analytical model parameters between BEAS-2B and SK-MES-1 is analyzed. To explore the feasibility and practical details of the classification of lung cancer cells from normal cells under experimental conditions. This paper also attempts to provide auxiliary information for the pathological study of human lung squamous cell carcinoma cells from the perspective of biophysics. The relationship between the difference of dielectric spectrum and the morphological changes of lung squamous cell carcinoma cells was discussed by means of electron microscope and light microscope. Results the dielectric constant of lung squamous cell carcinoma cells was lower than that of normal cells by 5.81%, but the electrical conductivity of lung squamous cell carcinoma cells was more positive. The electrical conductivity of normal cells is high 12.25%. The dielectric spectra of BEAS-2B and SK-MES-1 cell suspensions, Conductivity spectrum, The complex plane and dielectric loss spectra showed that the cell suspension volume fraction dependence was 3. 3 BEAS-2B and the SK-MES-1 cell suspension included 偽 and 尾 in the frequency range of 100 Hz~100 MHz. The dielectric spectra of BEAS-2B and SK-MES-1 cell suspensions were analyzed by Cole-Cole model, and the dielectric spectra of BEAS-2B and SK-MES-1 cell suspensions were analyzed by Cole-Cole model. It is necessary to use the trinomial Cole-Cole equation to obtain the fitting results which meet the precision requirements. This indicates that the dielectric spectra of the two cell suspensions correspond to three characteristic frequencies. The polarization of the ions in the two-layer induced by the external electric field at different frequencies was characterized, respectively. And the interfacial polarization of cell membrane and nuclear membrane. 5. The three characteristic frequencies obtained by using Cole-Cole model to analyze the dielectric spectrum of cell suspensions were not affected by the cell volume fraction. The results of statistical analysis showed that the characteristic frequency could be used as a kind of characteristic frequency. The dielectric spectra of BEAS-2B and SKMES-1 were analyzed by using the physical model of single-shell spherical cells. The difference of physical model parameters can not only reflect the difference of dielectric spectrum of two cells, but also combine with the results of electron microscope and light microscope photos of the two cells. Conclusion: the results of this paper indicate that there are significant differences in dielectric spectra between human normal lung epithelial cells (BEAS-2B) and human lung squamous cell carcinoma cells (SK-MES-1) based on Cole-Cole model and physical model. The characteristic frequency and other model parameters can be extracted by the curve fitting technique, and the dielectric spectrum difference between the two kinds of cells can be characterized, which can be used as an important basis for cell typing. It provides a powerful proof for the application of human lung cancer cell typing based on biological dielectric spectroscopy.
【學(xué)位授予單位】:寧波大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:R734.2
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