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Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments

机译:血清SELDI-TOF蛋白模式的可重复性:比较不同实验的数据集

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摘要

Motivation: There has been much interest in using patterns derived from surface-enhanced laser desorption and ionization (SELDI) protein mass spectra from serum to differentiate samples from patients both with and without disease. Such patterns have been used without identification of the underlying proteins responsible. However, there are questions as to the stability of this procedure over multiple experiments. Results: We compared SELDI proteomic spectra from serum from three experiments by the same group on separating ovarian cancer from normal tissue. These spectra are available on the web at http://clinicalproteomics.steem.com. In general, the results were not reproducible across experiments. Baseline correction prevents reproduction of the results for two of the experiments. In one experiment, there is evidence of a major shift in protocol mid-experiment which could bias the results. In another, structure in the noise regions of the spectra allows us to distinguish normal from cancer, suggesting that the normals and cancers were processed differently. Sets of features found to discriminate well in one experiment do not generalize to other experiments. Finally, the mass calibration in all three experiments appears suspect. Taken together, these and other concerns suggest that much of the structure uncovered in these experiments could be due to artifacts of sample processing, not to the underlying biology of cancer. We provide some guidelines for design and analysis in experiments like these to ensure better reproducible, biologically meaningfully results.
机译:动机:使用从血清中的表面增强激光解吸和电离(SELDI)蛋白质谱得到的图谱来区分有病和无病患者的样品引起了人们的极大兴趣。在不鉴定负责的基础蛋白质的情况下使用了这种模式。但是,对于该程序在多个实验中的稳定性存在疑问。结果:我们比较了来自同一组的三个实验中从正常组织中分离卵巢癌的血清中SELDI蛋白质组学光谱。这些光谱可从以下网址获得:http://clinicalproteomics.steem.com。通常,结果在整个实验中均不可重现。基线校正会阻止其中两个实验的结果重现。在一个实验中,有证据表明协议中期实验发生了重大变化,这可能会导致结果产生偏差。另外,频谱噪声区域中的结构使我们能够区分正常人和癌症,这表明正常人和癌症的处理方式不同。在一个实验中发现可以很好地区分的特征集不能推广到其他实验。最后,在所有三个实验中的质量校准似乎都令人怀疑。综上所述,这些和其他担忧表明,在这些实验中发现的许多结构可能是由于样品处理的伪影所致,而不是由于癌症的根本生物学所致。我们为此类实验中的设计和分析提供一些指导,以确保获得更好的可重现的,生物学上有意义的结果。

著录项

  • 来源
    《Bioinformatics》 |2004年第5期|p. 777-785|共9页
  • 作者单位

    Department of Biostatistics, U.T. M.D. Anderson Cancer Center, 1515 Holcombe Blvd, Box 447, Houston, TX 77030-4009, USA;

    Department of Biostatistics, U.T. M.D. Anderson Cancer Center, 1515 Holcombe Blvd, Box 447, Houston, TX 77030-4009, USA;

    Department of Biostatistics, U.T. M.D. Anderson Cancer Center, 1515 Holcombe Blvd, Box 447, Houston, TX 77030-4009, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物科学;生物工程学(生物技术);
  • 关键词

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