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相关概念视频

Regulated mRNA Transport02:22

Regulated mRNA Transport

7.3K
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...
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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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Reporter Genes02:11

Reporter Genes

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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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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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scBSP:一个快速而准确的工具,用于从空间转录基因数据中识别空间变量基因.

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    此摘要是机器生成的。

    scBSP是一个新的软件包,可以在大型空间转录组数据集中有效地识别空间变量基因. 它为分析复杂的基因表达模式提供了快速计算和内存效率.

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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
    • 生物信息学是一种生物信息学.

    背景情况:

    • 空间解析的转录学能够在二维和三维空间中绘制基因表达的映射.
    • 越来越多的数据规模和稀疏性带来了重大的计算挑战.
    • 识别空间变量基因 (SVGs) 对于理解组织结构和功能至关重要.

    研究的目的:

    • 介绍scBSP,这是一个开源包,用于高效的SVG识别.
    • 解决大规模空间转录学中的计算瓶问题.
    • 为各种空间转录学数据提供一个用户友好的工具.

    主要方法:

    • scBSP利用稀疏矩阵运算来提高计算效率.
    • 该包是为高清空间转录组学数据设计的.
    • 为二维和三维空间转录组数据集进行了优化.

    主要成果:

    • scBSP在不到10秒的时间内处理大型数据集 (19,950个基因,181,367个点).
    • 显示了计算时间和内存使用的显著改进.
    • 在各种测序技术和分辨率中准确识别SVG.

    结论:

    • scBSP提供了一种计算效率高的解决方案,用于分析大型空间转录数据集.
    • 能够在标准硬件上准确和快速识别空间变量基因.
    • 促进对空间基因表达模式和生物系统的更深入的洞察.