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相关概念视频

Structure of a Gene01:30

Structure of a Gene

12.6K
A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...
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Reporter Genes02:11

Reporter Genes

11.3K
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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What is Gene Expression?01:36

What is Gene Expression?

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A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then...
8.5K
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...
17.4K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

4.6K
4.6K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
53

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相关实验视频

Updated: Jun 29, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
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Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

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预TSA:对时间和空间基因表达模式的计算高效建模.

Haotian Zhuang1, Zhicheng Ji1

  • 1Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.

bioRxiv : the preprint server for biology
|April 8, 2024
PubMed
概括

在大型单细胞和空间转录组学数据集中,PreTSA有效地模拟基因表达模式. 这种计算方法与最先进的结果相匹配,显著减少了数百万个细胞的处理时间.

科学领域:

  • 计算生物学是一种计算生物学.
  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 在大规模单细胞和空间转录组学数据中建模基因表达模式在计算上要求很高.
  • 现有的方法与含有数百万个细胞的数据集作斗争,限制了生物发现.

研究的目的:

  • 介绍PreTSA,这是一个计算高效的方法,用于建模基因表达模式.
  • 为了证明PreTSA对包含数百万个细胞的大规模单细胞和空间转录组学数据集的适用性.

主要方法:

  • PreTSA采用了一种高效的建模方法,适用于高通量转录组学数据.
  • 该方法旨在处理数百万个单元的数据集,解决可扩展性问题.

主要成果:

  • PreTSA的结果与现有的最先进的方法相美.
  • 该方法显著减少了建模基因表达模式所需的计算时间.
  • 在单细胞和空间转录组学数据中,PreTSA有效.

结论:

  • PreTSA提供了一种计算效率高的解决方案,用于分析大量数据集中的基因表达模式.
  • 允许在规模上研究复杂的生物系统的新可能性.

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An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

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  • 促进在大型单细胞和空间转录组学中研究基因表达动态.