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相关概念视频

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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通过随机复合测量有效生成转录形状

Brian Cleary1, Le Cong2, Anthea Cheung2

  • 1Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Computational and Systems Biology Program, MIT, Cambridge, MA, USA.

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|November 21, 2017
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概括

产生基因表达特征是昂贵的. 这项研究引入了随机复合测量,以有效地捕获RNA配置文件,使得基因表达数据的准确重建具有显著较少的测量.

关键词:
压缩传感器基因表达随机组合测量

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科学领域:

  • 基因组学
  • 计算生物学
  • 生物技术

背景情况:

  • 提供细胞和组织状态的洞察力.
  • 产生大规模的基因表达数据目前成本极高.

研究的目的:

  • 使用随机复合测量获得基因表达水平的有效方法.
  • 来证明从有限的测量中重建高维基因表达数据的可行性.

主要方法:

  • 使用随机复合测量,其中基因丰度被组合成随机加权的总和.
  • 利用基因表达数据的稀疏和模块化表示.
  • 在没有先前培训数据的情况下开发基因表达盲恢复方法.

主要成果:

  • 基因表达特征的相似性可以通过很少的复合测量来估计.
  • 高维基因表达水平可以用比基因少100倍的测量恢复.
  • 从复合测量中成功恢复基因表达是可以实现的.

结论:

  • 随机复合测量为高通量基因表达分析的大规模扩展提供了成本效益的方法.
  • 这种方法为解释高维生物数据提供了新的途径.
  • 拟议的压缩方式可以显著降低生成RNA的成本和复杂性.