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相关概念视频

Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

906
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
906
Regulation of Metabolism01:19

Regulation of Metabolism

9.4K
Cellular needs and conditions vary from cell to cell and change within individual cells over time. For example, the required enzymes and energetic demands of stomach cells are different from those of fat storage cells, skin cells, blood cells, and nerve cells. Furthermore, a digestive cell works much harder to process and break down nutrients during the time that closely follows a meal compared with many hours after a meal. As these cellular demands and conditions vary, so do the amounts and...
9.4K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

3.0K
3.0K
Combinatorial Gene Control02:33

Combinatorial Gene Control

8.3K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
8.3K
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

6.3K
Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
6.3K
Carbohydrate Metabolism01:36

Carbohydrate Metabolism

11.1K
Carbohydrates are polymers composed of molecules containing atoms of carbon, hydrogen and oxygen. One gram of carbohydrate can provide four kilo-calories of energy, which makes it the most efficient instant energy source.
Starch accounts for approximately 60% of the carbohydrates consumed by humans. Since amylase enzymes cannot function in the stomach's acidic environment, starch can only be digested in the mouth and small intestine. Simple sugars are found naturally in milk and fruits in...
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相关实验视频

Updated: Jul 1, 2025

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

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优先考虑玉米代谢基因调节器通过多欧米网络集成.

Fabio Gomez-Cano, Jonas Rodriguez, Peng Zhou

    bioRxiv : the preprint server for biology
    |March 11, 2024
    PubMed
    概括

    这项研究整合了多种数据类型,以在植物中构建转录因子 (TF) 目标网络. 这种方法揭示了新的TF功能,并有助于理解改善作物特征的基因调节.

    科学领域:

    • 植物系统生物学 植物系统生物学
    • 基因组学就是基因组学.
    • 分子生物学分子生物学

    背景情况:

    • 基因调控网络通过转录因子 (TF) 和基因相互作用来控制植物的表型特征.
    • 了解这些网络对于植物系统生物学和作物改进至关重要.

    研究的目的:

    • 通过整合各种生物数据集,构建全面的TF目标网络.
    • 功能性地注释TF并确定植物生物过程中的新型监管作用.

    主要方法:

    • 整合了46个共同表达网络,283个蛋白质-DNA相互作用 (PDI) 测定和1600万个SNP用于表达定量特征位置 (eQTL) 分析.
    • 产生了四种类型的TF目标网络:联合表达,PDI,跨eQTL和与PDI结合的cis-eQTL.
    • 采用了三种网络集成策略,并使用TF功能丧失突变和随机网络分析进行了评估.

    主要成果:

    • 通过分析大约460万次交互,成功构建了集成的TF-target网络.
    • 确定了植物多种生物过程的转录调节剂.
    • 使用网络拓学发现了潜在的功能冗余TF对应器.
    • 验证了已知的TF函数和发现的新功能,为未来的研究提供了洞察力.

    更多相关视频

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    A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

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    相关实验视频

    Last Updated: Jul 1, 2025

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    Published on: June 17, 2012

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    A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
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    A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

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    High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.
    05:55

    High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.

    Published on: June 16, 2018

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    结论:

    • 多原子数据整合方法为剖析植物基因调控网络提供了一个强大的框架.
    • 这种方法可以应用于玉米和其他植物系统,以更深入地了解基因功能和调节.
    • 结果为设计未来实验和潜在地改善作物特征提供了有价值的信息.