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相关概念视频

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Cell-Lineage Guided Mass Spectrometry Proteomics in the Developing Frog Embryo
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使用蛋白质组学预测早产

Ivana Marić1, David K Stevenson1, Nima Aghaeepour2

  • 1Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA 94304, USA.

Clinics in perinatology
|May 5, 2024
PubMed
概括
此摘要是机器生成的。

预测自发早产 (PTB) 和孕前是具有挑战性的. 本综述探讨了蛋白质组学特征和复合生物标志物,以改善PTB风险预测,以改善母亲和婴儿的结果.

关键词:
生物标志物 生物标志物生物签名 生物签名复合签名是一个复合签名.计算 计算 计算 计算多种组合的多种组合.俄米克斯 (Omics) 是一个电子游戏.孕前症 孕前症蛋白质组是蛋白质组的组成部分.

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科学领域:

  • 生殖生物学和产科. 生殖生物学和产科.
  • 生物标志物发现和蛋白质组学.
  • 临床预测建模.临床预测建模.

背景情况:

  • 过早分娩 (PTB) 由于各种原因和风险因素而带来复杂的挑战.
  • 准确预测PTB,自发或医疗指示,仍然是一个重要的临床障碍.
  • 孕前是一个主要的并发症,往往导致医学上指示的PTB.

研究的目的:

  • 审查发现的蛋白质学特征预测自发性PTB和孕前的发现.
  • 为了确定潜在的蛋白质组生物标志物候选人用于PTB风险评估.
  • 讨论开发临床准确生物标记物的障碍,并探索复合签名.

主要方法:

  • 描述了蛋白质组学分析技术.
  • 对已识别的蛋白质组学生物标志物候选者的审查.
  • 讨论了结合蛋白质组学和临床数据的复合签名的方法.

主要成果:

  • 已经确定了几个蛋白质组生物标志物候选者用于PTB和孕前的预测.
  • 概述了蛋白质组学生物标志物的临床实施障碍.
  • 复合签名显示了增加预测能力的潜力.

结论:

  • 蛋白质组学对识别生物标志物来预测自发PTB和孕前具有前途意义.
  • 克服目前的障碍对于这些生物标志物的临床转化至关重要.
  • 将临床参数与蛋白质组学数据相结合,可能会提高预测PTB风险的准确性.