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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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Regulated mRNA Transport02:22

Regulated mRNA Transport

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In eukaryotes, transcription and translation are compartmentalized; an mRNA is first synthesized in the nucleus and then selectively transported to the cytoplasm for protein synthesis. Before transport, a pre-mRNA undergoes several steps of post-transcriptional modifications including splicing, 5' capping, and the addition of a poly-adenine tail. Various proteins bind to the pre-mRNA during these modifications. The mRNA transport takes place with the help of multiple proteins playing...
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DNA Microarrays02:34

DNA Microarrays

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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Updated: Jul 26, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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扩张空间转录学 扩张空间转录学

Yuhang Fan1, Žaneta Andrusivová2, Yunming Wu3

  • 1Department of Bioengineering, Stanford University, Stanford, CA, USA.

Nature methods
|June 22, 2023
PubMed
概括
此摘要是机器生成的。

扩张空间转录增强组织清除和扩张,用于更高分辨率的基因表达分析. 这种方法克服了数组密度的限制,改善了像老鼠大脑这样的样本的空间转录学准确性.

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科学领域:

  • 分子生物学分子生物学
  • 基因组学就是基因组学.
  • 神经科学是一个神经科学.

背景情况:

  • 空间转录组学方法在组织环境中分析基因表达.
  • 目前基于数组的方法由于数组密度而面临空间分辨率的限制.

研究的目的:

  • 引入和验证扩张空间转录学.
  • 克服现有方法的空间分辨率限制.
  • 为了实现更高的分辨率,同时保持高图书馆质量.

主要方法:

  • 组织清除和扩张技术.
  • 获取整个多基化转录基因组的增强协议.
  • 用于小鼠大脑样本进行验证的应用.

主要成果:

  • 与传统方法相比,实现了更高的空间分辨率.
  • 在整个过程中维护了图书馆的高质量.
  • 在复杂组织样本上成功展示了该技术.

结论:

  • 扩展空间转录学在解决更高空间细节的基因表达方面取得了重大进展.
  • 增强的协议提供了一种强大的方法,用于对转录组的详细空间分析.
  • 这种技术对未来在组织生物学和疾病研究方面的发现充满希望.