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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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Polygenic Traits01:18

Polygenic Traits

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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

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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...
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相关实验视频

Updated: Jun 11, 2025

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
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使用不同的基因子集,基于转录基因组预测大米中的多基因特征.

Ryokei Tanaka1, Tsubasa Kawai2, Taiji Kawakatsu3

  • 1Institute of Crop Sciences, National Agriculture & Food Research Organization, Tsukuba, Ibaraki, 305-8518, Japan. tanakar015@affrc.go.jp.

BMC genomics
|October 1, 2024
PubMed
概括

使用基因表达数据预测复杂的植物特征具有挑战性. 研究人员发现,根据组织表达和功能选择特定的基因子集,可以提高大米多基因特征的预测准确度.

关键词:
核心集合 核心集合 核心集合RNA-seq,基因组预测大米 大米 大米 大米 大米根类现象型 根类现象型基于转录组的预测.

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mRNA Interactome Capture from Plant Protoplasts
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相关实验视频

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科学领域:

  • 植物遗传学和基因组学
  • 系统生物学 系统生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 基于转录基因组的预测将遗传变异与复杂的表型联系起来.
  • 由于未知的因果基因,难以预测多基因特征.
  • 这项研究探讨了为改善多基因特征预测选择基因子集.

研究的目的:

  • 用转录丰富度评估选择基因子集用于预测多基因特征的有效性.
  • 为了确定基因水平的特征是否可以提高与使用所有基因相比的预测能力.

主要方法:

  • 利用了来自57个大米加入的表型和转录基因数据.
  • 开发了使用叶子和根转录的预测模型.
  • 采用组织特异性,本体学注释和共同表达模块来选择基因子集.

主要成果:

  • 叶子转录更好地预测了发芽特征 (例如,植物高度);根转录更好地预测了根特征 (例如,冠根长度).
  • 一些精选的基因子集改善了对特定特征的预测能力,比如冠根直径 (10%以上的增加).
  • 与"吉伯酸敏感性"相关的基因增强了根干重的预测.

结论:

  • 从转录数据中选择适当的基因子集用于多基因特征预测是可行的,但具有挑战性.
  • 为了实现最佳的基因组选择,需要进一步整合多样化的生物信息和改进基因表征.