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相关概念视频

Ribosome Profiling02:24

Ribosome Profiling

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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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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Mining Spatial Transcriptomics Datasets using DeepSpaceDB
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从空间转录组学数据绘制映射异型和调节机制,使用SPLISOSM.

Jiayu Su1,2,3, Yiming Qu4, Megan Schertzer5

  • 1Program for Mathematical Genomics, Columbia University, New York, NY, USA. js5756@cumc.columbia.edu.

Nature biotechnology
|January 6, 2026
PubMed
概括
此摘要是机器生成的。

我们开发了SPLISOSM来绘制空间转录组学数据中的转录多样性. 这种方法揭示了大脑中的成千上万个空间变量的拼接事件,与神经精神疾病和癌症有关.

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相关实验视频

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科学领域:

  • 基因组学就是基因组学.
  • 神经科学是一个神经科学.
  • 计算生物学 计算生物学

背景情况:

  • 转录多样性,包括拼接和替代的3'端使用,对于细胞功能至关重要,但其空间调节尚不清楚.
  • 空间转录组学提供了一种在组织环境中研究基因表达的方法.

研究的目的:

  • 开发一种方法来检测空间转录学数据中的异形分辨率模式.
  • 在正常和瘤条件下分析老鼠和人类大脑的空间转录多样性.

主要方法:

  • 介绍了SPLISOSM (空间异形统计建模),一种使用非参数内核进行多变量测试的方法.
  • 将SPLISOSM应用于从小鼠和人类大脑样本 (包括质母细胞瘤) 的空间转录学数据.

主要成果:

  • 在小鼠大脑中识别了超过1000个空间变量转录多样性事件,丰富了与神经精神疾病相关的突触信号通路.
  • 发现了老鼠和人类前额叶皮层之间的保存空间拼接模式.
  • 揭示了人类质母细胞瘤中普遍存在的转录多样性,与抗原呈现和粘附基因以及特定的微环境有关.

结论:

  • SPLISOSM能够对空间转录多样性的强大统计分析,即使数据稀少.
  • 空间转录多样性在大脑功能,神经精神疾病和癌症中发挥着重要作用.
  • 这项研究为健康和疾病中的大脑提供了全面的空间拼接分析.