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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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General Transcription Factors01:30

General Transcription Factors

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Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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Regulated mRNA Transport02:22

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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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Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
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相关实验视频

Updated: May 30, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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在空间转录组学中统计识别特定于细胞类型的空间变量基因.

Lulu Shang1, Peijun Wu2,3, Xiang Zhou4,5

  • 1Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Nature communications
|January 26, 2025
PubMed
概括
此摘要是机器生成的。

塞丽娜在组织中识别了细胞类型特定的空间变量基因 (ct-SVGs). 这种方法准确地捕获基因表达模式,为空间转录学研究提供了强大的见解.

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科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 生物统计学 生物统计学

背景情况:

  • 识别空间变量基因 (SVGs) 在空间转录组学中至关重要.
  • 现有的方法在细胞类型特定的模式和点分辨率数据方面存在困难.

研究的目的:

  • 引入Celina,一种用于检测细胞类型特异性SVGs (ct-SVGs) 的新统计方法.
  • 为单细胞和点分辨率空间转录组学提供有效的解决方案.

主要方法:

  • 塞丽娜采用一个空间变化的系数模型.
  • 这个模型捕捉了基因表达模式与细胞类型分布相对.
  • 确保了强大的I型错误控制和高统计能力.

主要成果:

  • 在单细胞分辨率数据方面,Celina的性能优于现有的方法.
  • 它是现场分辨率空间转录学唯一有效的方法.
  • 应用于五个数据集,Celina确定了与肺癌进展,癌细胞增殖和免疫反应以及阿尔茨海默病病理学相关的ct-SVGs.

结论:

  • 塞琳娜是一种强大而通用的工具,用于发现细胞类型特定的空间基因表达.
  • 该方法在各种疾病和研究模型中提供了重要的生物学见解.