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相关概念视频

Master Transcription Regulators02:23

Master Transcription Regulators

Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a  complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...
Transcription Attenuation in Prokaryotes02:42

Transcription Attenuation in Prokaryotes

Transcriptional attenuation occurs when RNA transcription is prematurely terminated due to the formation of a terminator mRNA hairpin structure.  Bacteria use these hairpins to regulate the transcription process and control the synthesis of several amino acids including histidine, lysine, threonine, and phenylalanine. Transcription attenuation takes place in the non-coding regions of mRNA.
There are several different mechanisms used to attenuate transcription. In ribosome mediated...
RNA-seq03:21

RNA-seq

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 microarray-based...
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Master Transcription Regulators02:23

Master Transcription Regulators

Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a  complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability

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相关实验视频

Updated: May 8, 2026

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

30.1K

单细胞转录组中缺少的数据显示了转录变化

Ruizhe Chen, Yu-Che Chung, Beth Kelly

    bioRxiv : the preprint server for biology
    |September 2, 2025
    PubMed
    概括

    一种新的评分方法通过分析缺少的数据来识别不同的单细胞转录组,帮助细胞优先排序,并揭示Dictyostelium discoideum发育中的代谢转变.

    科学领域:

    • 单细胞基因组学
    • 计算生物学
    • 发育生物学

    背景情况:

    • 单细胞RNA测序 (scRNA-seq) 能够进行大规模的转录组分析.
    • 由于技术差异和复杂的数据结构,下游分析的细胞优先级具有挑战性.
    • 现有的方法经常被聚类,规范化和缩小维度的技术所混.

    研究的目的:

    • 开发一种新的评分方法,
    • 根据缺失的数据模式识别不同的转录组,独立于常见的scRNA-seq处理步骤.
    • 为后续分析提供强大的特征选择.

    主要方法:

    • 使用单细胞转录组中缺失的数据模式开发了评分方法.
    • 该方法的设计是独立于聚类,规范化和缩小维度的策略.
    • 该方法用于分析Dictyostelium discoideum的转录组数据.

    主要成果:

    • 该评分方法在数据集中成功识别了不同的转录组.
    • 实现了不偏的细胞优先级和特征选择.
    • 对Dictyostelium discoideum的分析显示,与发育状态转变相关的显著代谢转变.

    更多相关视频

    Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
    10:12

    Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

    Published on: January 10, 2019

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    An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
    06:02

    An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level

    Published on: November 2, 2020

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    相关实验视频

    Last Updated: May 8, 2026

    Transcriptome Analysis of Single Cells
    07:27

    Transcriptome Analysis of Single Cells

    Published on: April 25, 2011

    30.1K
    Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
    10:12

    Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

    Published on: January 10, 2019

    18.7K
    An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
    06:02

    An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level

    Published on: November 2, 2020

    5.8K

    结论:

    • 开发的评分方法为单细胞转录学中的细胞优先级提供了强大而公正的方法.
    • 这种技术克服了数据处理步骤的传统方法的局限性.
    • 在Dictyostelium discoideum的发现突出了该方法在发现生物见解,如发育代谢变化的有用性.