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Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
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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.
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利基-DE:在空间转录组学数据中的利基差异性基因表达分析识别了依赖上下文的细胞-细胞相互作用.

Kaishu Mason1, Anuja Sathe2, Paul R Hess1

  • 1Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, USA.

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科学领域:

  • 计算生物学 计算生物学
  • 基因组学就是基因组学.
  • 空间转录学 空间转录学

背景情况:

  • 目前的空间转录组学方法主要分析整个组织的全球基因表达模式.
  • 这些方法往往忽略了局部基因表达变异,这些变异是由特定微环境中的细胞-细胞相互作用驱动的.
  • 了解这些局部变化对于破译组织功能和疾病机制至关重要.

研究的目的:

  • 开发新的计算方法,以更精细的分辨率分析空间转录基因数据.
  • 识别细胞类型特定的基因,这些基因在不同的空间中被差异地表达.
  • 阐明这些利基关联基因表达模式的潜在联结体受体信号传递机制.

主要方法:

  • 引入利基差异表达 (NICH-DE) 分析,这是一种检测特定于细胞类型的,与利基相关的基因的统计程序.
  • 开发niche-LR,一种推断接体-受体相互作用的方法,驱动利基差异性基因表达.
  • 这些方法应用于低分辨率的点位数据和高分辨率的单细胞/亚细胞空间转录组数据.

主要成果:

  • Niche-DE成功地识别了具有特定于细胞类型内的特定空间利基的表达模式的基因.
  • 利基LR揭示了潜在的联体受体信号通路,与观察到的利基差异性基因表达相关.
  • 这些方法证明了在不同空间转录组数据分辨率的应用性.

结论:

  • 利基-DE和利基-LR提供了强大的工具,用于剖析局部细胞异质性和细胞-细胞通信在空间转录学.
  • 这些方法使我们能够更细致地了解微环境环境如何影响基因表达和细胞功能.
  • 开发的方法促进了空间转录基因数据的分析,为复杂的生物系统提供了洞察力.