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相关概念视频

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...

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Quantitative Analysis of Cancer Metastasis using an Avian Embryo Model
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在血清中使用蛋白质组模式来识别卵巢癌.

Emanuel F Petricoin1, Ali M Ardekani, Ben A Hitt

  • 1Food and Drug Administration/National Institutes of Health Clinical Proteomics Program, Department of Therapeutic Proteins/Center for Biologics Evaluation and Research, Food and Drug Administration, Bethesda, MD, USA. petricoin@cber.fda.gov

Lancet (London, England)
|February 28, 2002
PubMed
概括

一个新的生物信息学工具在血清中确定了一个独特的蛋白质组模式,以准确检测早期的卵巢癌. 这种方法显示出高灵敏度和特异性,提供了一个有前途的新查技术.

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科学领域:

  • 生物化学 生物化学
  • 生物信息学是一种生物信息学.
  • 在瘤学瘤学.

背景情况:

  • 早期发现卵巢癌仍然是一个重大的临床挑战.
  • 血清中的蛋白质组变化可能表明卵巢的病理变化.
  • 新型诊断技术对于改善患者的治疗结果至关重要.

研究的目的:

  • 开发和验证一种生物信息学工具,用于识别卵巢癌的血清蛋白质组模式.
  • 使用蛋白质组学分析区分瘤和非瘤卵巢疾病.
  • 评估蛋白质组模式技术作为卵巢癌查工具的潜力.

主要方法:

  • 血清样本使用表面增强激光吸附和离子化质谱分析.
  • 一个代搜索算法在100个样本的训练集中识别了歧视性蛋白质组模式.
  • 鉴定的模式在116个蒙面血清样本的独立组上得到了验证.

主要成果:

  • 在训练组中,蛋白质组模式完全区分了卵巢癌与非癌症.
  • 在蒙面组中,该模式正确识别了所有50个卵巢癌病例 (100%的灵敏度),包括18个I期病例.
  • 该模式正确地分类了66个非恶性病例中的63个 (95%的特异性),显示出高诊断准确度.

结论:

  • 这项研究表明,用于检测卵巢癌的新型蛋白质组模式技术的高精度.
  • 这些发现支持对这项技术作为基于人口的查工具的前性评估.
  • 蛋白质组模式分析对卵巢癌各个阶段的早期检测具有前途.