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相关概念视频

Ribosome Profiling02:24

Ribosome Profiling

3.5K
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...
3.5K
RNA-seq03:21

RNA-seq

10.0K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.0K
DNA Microarrays02:34

DNA Microarrays

17.4K
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...
17.4K
Regulated mRNA Transport02:22

Regulated mRNA Transport

6.3K
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...
6.3K

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相关实验视频

Updated: Jul 9, 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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绘制转录组:实现空间数据分析的全部潜力

Eleftherios Zormpas1, Rachel Queen2, Alexis Comber3

  • 1Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.

Cell
|December 8, 2023
PubMed
概括
此摘要是机器生成的。

空间转录组提供高分辨率的全转录组数据,但存在分析挑战. 本研究探讨利用地理科学方法有效分析RNA测序数据中的空间信息.

关键词:
地理情况可修改面积单位问题其他空间分析空间自相关性空间数据空间异质性空间转录学

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Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
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iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution
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iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

Published on: April 30, 2011

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相关实验视频

Last Updated: Jul 9, 2025

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

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Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
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iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution
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科学领域:

  • 生物信息学
  • 基因组学
  • 空间分析

背景情况:

  • 在现场的RNA测序提供了高分辨率,空间分辨率的全转录组数据.
  • 分析这些空间转录数据带来了重要的生物信息学挑战.
  • 现有的方法往往不能充分利用固有的空间信息.

研究的目的:

  • 解决空间转录数据的分析挑战.
  • 探索地理科学方法的应用到转录组分析.
  • 在RNA测序数据集中提高空间信息的有效利用.

主要方法:

  • 讨论空间维度数据的独特特性.
  • 对空间数据的统计和推断考虑.
  • 审查地理科学中开发的空间数据分析方法.

主要成果:

  • 识别了利用空间信息用于转录数据的挑战.
  • 突出了地理科学方法的空间转录组分析潜力.
  • 提出将空间分析技术整合到转录学研究中的框架.

结论:

  • 空间转录数据需要专门的分析方法.
  • 地理科学为分析空间转录数据提供了有价值的工具.
  • 采用这些方法可以释放空间解析的转录信息的全部潜力.