OBJECTIVE To identify metastasis-related biomarkers in humanovarian cancer cell lines and in serum.METHODS We isolated total protein from cell lysis solutionsand cultured supernatants from 2 human ovarian cancer cell ...OBJECTIVE To identify metastasis-related biomarkers in humanovarian cancer cell lines and in serum.METHODS We isolated total protein from cell lysis solutionsand cultured supernatants from 2 human ovarian cancer cell linesand used SELDI-TOF-MS to detect the differential expressionof the proteins in the 2 cell lines.The proteomic spectra weregenerated using weak cation exchange chips.The biomarkerswere validated by analyzing serum proteins or peptides in ovariancancer patients,relapsed ovarian cancer patients,patients withbenign ovarian tumors,and healthy people.RESULTS Four proteins in the culture supernatant fromHO-8910PM cells were up-regulated,relative to the culturesupernatant of HO-8910 cells.One protein (3,144 Da m/z value)was up-regulated in both the cell lysis solution and in the culturesupernatant of HO-8910PM cells.In addition,expression of the3,144 Da m/z protein differed significantly between serum fromthe 26 ovarian cancer patients,from the 22 relapsed ovarianpatients and from the 37 healthy women (P<0.01).However,therewas no difference between patients with benign ovarian tumorsand healthy people (P>0.5).CONCLUSION Ovarian cancer cell lines with high or lowmetastatic potential have distinct protein profiles.Protein 3,144Da m/z could be a useful biomarker for diagnosing ovarian cancermetastasis.展开更多
目的应用液体蛋白芯片飞行时间质谱系统分析2型糖尿病性视网膜病变的血清蛋白质表达谱,寻找具有潜在诊断意义的血清标志物,以便于糖尿病视网膜病变的早期诊断。方法收集2型糖尿病但不伴糖尿病视网膜病变的患者24例,2型糖尿病合并糖尿病...目的应用液体蛋白芯片飞行时间质谱系统分析2型糖尿病性视网膜病变的血清蛋白质表达谱,寻找具有潜在诊断意义的血清标志物,以便于糖尿病视网膜病变的早期诊断。方法收集2型糖尿病但不伴糖尿病视网膜病变的患者24例,2型糖尿病合并糖尿病视网膜病变的患者21例血清样本,通过Clin Prot磁珠纯化、飞行时间质谱分析、Clin Pro Tools生物信息学方法研究糖尿病视网膜病变的血清蛋白表达谱。结果质荷比(m/z)为1945.53的蛋白峰能较好地鉴别糖尿病性视网膜病变。其识别率和预测能力分别为88.57%和82.08%。结论以液体蛋白芯片飞行时间质谱系统工具研究蛋白表达谱,筛选得到的质荷比为1945.53的蛋白可能为潜在的2型糖尿病性视网膜病变的血清标志物。展开更多
目的 探讨用蛋白质芯片技术筛选少精子症患者精浆中蛋白质表达谱,寻找精浆中的标志性蛋白.方法 采用表面增强激光解离飞行时间质谱技术(surface-enharlced Iaser desorption/ionization time of flight mass spectrometry,SELDI-TOF-MS)...目的 探讨用蛋白质芯片技术筛选少精子症患者精浆中蛋白质表达谱,寻找精浆中的标志性蛋白.方法 采用表面增强激光解离飞行时间质谱技术(surface-enharlced Iaser desorption/ionization time of flight mass spectrometry,SELDI-TOF-MS),运用IMAC3蛋白质芯片检测70例少精子症患者和60例正常对照组精浆中蛋白质谱,获得的蛋白质谱采用Biomarker Wizard软件分析,初步筛选蛋白质峰,结合生物信息学的支持向量机(support vector machines,SVM)方法建立少精子症患者的蛋白质指纹图谱模型并鉴定其成分.结果 在芯片上捕获到168种蛋白质,用质谱仪筛选出少精子症患者与正常对照组相比的18种差异蛋白,从中再次筛选出2种蛋白质组成少精子症的蛋白质谱最优化模型,少精子症患者中质荷比(m/z)分别为6632.8、15105.1的2种蛋白质表达上调.模型经三倍交叉验证后,其敏感性和特异性分别为91.4%和93.3%,阳性预测值为92.3%.结论 蛋白质芯片技术可以快速、有效地筛选出少精子症患者精浆差异蛋白,结合SVM可建立一个由2种蛋白质组成的蛋白质指纹图谱模型,可对少精子症做很好的诊断预测,对这2种蛋白质尤其是m/Z为6632.8的蛋白质进行研究,有助于少精子症病因学进展及诊断标记物的发现.展开更多
基金supported by grants from the Medical Scientific Research Foundation and Bureau of Health Care for Senior Officials of Zhejiang Province,China (No.2007B026)the National Natural Science Foundation of China (No.0471819)
文摘OBJECTIVE To identify metastasis-related biomarkers in humanovarian cancer cell lines and in serum.METHODS We isolated total protein from cell lysis solutionsand cultured supernatants from 2 human ovarian cancer cell linesand used SELDI-TOF-MS to detect the differential expressionof the proteins in the 2 cell lines.The proteomic spectra weregenerated using weak cation exchange chips.The biomarkerswere validated by analyzing serum proteins or peptides in ovariancancer patients,relapsed ovarian cancer patients,patients withbenign ovarian tumors,and healthy people.RESULTS Four proteins in the culture supernatant fromHO-8910PM cells were up-regulated,relative to the culturesupernatant of HO-8910 cells.One protein (3,144 Da m/z value)was up-regulated in both the cell lysis solution and in the culturesupernatant of HO-8910PM cells.In addition,expression of the3,144 Da m/z protein differed significantly between serum fromthe 26 ovarian cancer patients,from the 22 relapsed ovarianpatients and from the 37 healthy women (P<0.01).However,therewas no difference between patients with benign ovarian tumorsand healthy people (P>0.5).CONCLUSION Ovarian cancer cell lines with high or lowmetastatic potential have distinct protein profiles.Protein 3,144Da m/z could be a useful biomarker for diagnosing ovarian cancermetastasis.
文摘目的应用液体蛋白芯片飞行时间质谱系统分析2型糖尿病性视网膜病变的血清蛋白质表达谱,寻找具有潜在诊断意义的血清标志物,以便于糖尿病视网膜病变的早期诊断。方法收集2型糖尿病但不伴糖尿病视网膜病变的患者24例,2型糖尿病合并糖尿病视网膜病变的患者21例血清样本,通过Clin Prot磁珠纯化、飞行时间质谱分析、Clin Pro Tools生物信息学方法研究糖尿病视网膜病变的血清蛋白表达谱。结果质荷比(m/z)为1945.53的蛋白峰能较好地鉴别糖尿病性视网膜病变。其识别率和预测能力分别为88.57%和82.08%。结论以液体蛋白芯片飞行时间质谱系统工具研究蛋白表达谱,筛选得到的质荷比为1945.53的蛋白可能为潜在的2型糖尿病性视网膜病变的血清标志物。
文摘目的 探讨用蛋白质芯片技术筛选少精子症患者精浆中蛋白质表达谱,寻找精浆中的标志性蛋白.方法 采用表面增强激光解离飞行时间质谱技术(surface-enharlced Iaser desorption/ionization time of flight mass spectrometry,SELDI-TOF-MS),运用IMAC3蛋白质芯片检测70例少精子症患者和60例正常对照组精浆中蛋白质谱,获得的蛋白质谱采用Biomarker Wizard软件分析,初步筛选蛋白质峰,结合生物信息学的支持向量机(support vector machines,SVM)方法建立少精子症患者的蛋白质指纹图谱模型并鉴定其成分.结果 在芯片上捕获到168种蛋白质,用质谱仪筛选出少精子症患者与正常对照组相比的18种差异蛋白,从中再次筛选出2种蛋白质组成少精子症的蛋白质谱最优化模型,少精子症患者中质荷比(m/z)分别为6632.8、15105.1的2种蛋白质表达上调.模型经三倍交叉验证后,其敏感性和特异性分别为91.4%和93.3%,阳性预测值为92.3%.结论 蛋白质芯片技术可以快速、有效地筛选出少精子症患者精浆差异蛋白,结合SVM可建立一个由2种蛋白质组成的蛋白质指纹图谱模型,可对少精子症做很好的诊断预测,对这2种蛋白质尤其是m/Z为6632.8的蛋白质进行研究,有助于少精子症病因学进展及诊断标记物的发现.
