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相关概念视频

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...
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...

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Selective Am(III)/Eu(III) Separation by Asymmetric Phenanthroline Derivatives with Lateral Phosphonate and Pyrazole Groups.

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Building an Interoperable Rare Disease Multi-omic Resource: The GREGoR Data Model and Dataset.

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DAESC + : high-performance, integrated software for single-cell allele-specific expression data.

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相关实验视频

Updated: Jul 23, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

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DAESC+:高性能,集成软件,用于单细胞等位基因特异性表达数据.

Tengfei Cui, Guanghao Qi

    bioRxiv : the preprint server for biology
    |September 18, 2025
    PubMed
    概括

    我们开发了DAESC+,这是一款用于分析单细胞等位基因特定表达 (ASE) 的新软件包. DAESC+准确地处理scRNA-seq数据,并有效地识别免疫细胞中的差异基因调节.

    科学领域:

    • 基因组学就是基因组学.
    • 生物信息学是一种生物信息学.
    • 免疫学 免疫学 免疫学

    背景情况:

    • 单细胞等位基因特异表达 (ASE) 提供了对基因调节的洞察.
    • 现有的单细胞ASE分析计算工具是有限的.
    • 需要准确和可扩展的工具来处理和分析多重scRNA-seq数据.

    研究的目的:

    • 引入DAESC+,一个用于单细胞ASE分析的全面软件包.
    • 为获得ASE计数提供一个用户友好的预处理管道 (DAESC-P).
    • 开发一个可扩展的,GPU驱动的工具 (DAESC-GPU) 用于差异ASE分析.

    主要方法:

    • DAESC-P:一个生物信息管道用于处理多重scRNA-seq数据以生成ASE计数.
    • DAESC-GPU:用于可扩展的差分ASE分析的图形处理单元加速工具.
    • 适用于OneK1K队列数据,用于识别免疫细胞中的差异基因调节.

    主要成果:

    • 与SALSA管道相比,DAESC-P显示了更高的准确性.
    • DAESC-GPU实现了显著的速度改进和可扩展性到超过一百万个单元.
    • 在CD4+T细胞中鉴定了15个具有不同调节模式的基因,在B细胞中鉴定了2个基因.

    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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    Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH
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    Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH

    Published on: September 20, 2020

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    相关实验视频

    Last Updated: Jul 23, 2026

    A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
    09:34

    A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

    Published on: October 25, 2018

    7.1K
    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

    19.0K
    Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH
    06:26

    Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH

    Published on: September 20, 2020

    3.5K

    结论:

    • DAESC+为单细胞ASE分析提供了一个准确,高效和可扩展的解决方案.
    • 该软件有助于发现免疫细胞群中的基因调节差异.
    • DAESC+推进了单细胞ASE的实用性,以了解基因调节.