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相关概念视频

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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Regulated mRNA Transport02:22

Regulated mRNA Transport

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In eukaryotes, transcription and translation are compartmentalized; an mRNA is first synthesized in the nucleus and then selectively transported to the cytoplasm for protein synthesis. Before transport, a pre-mRNA undergoes several steps of post-transcriptional modifications including splicing, 5' capping, and the addition of a poly-adenine tail. Various proteins bind to the pre-mRNA during these modifications. The mRNA transport takes place with the help of multiple proteins playing...
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Labeling DNA Probes03:31

Labeling DNA Probes

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DNA probes are fragments of DNA labeled with a reporter tag to enable their detection or purification. The resulting labeled DNA probes can then hybridize to target nucleic acid sequences through complementary base-pairing, and may be used to recover or identify these regions.
Radioisotopes, fluorophores, or small molecule binding partners like biotin or digoxigenin, are the most widely used reporter tags for labeling DNA probes. These labels can be attached to the probe DNA molecule via...
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RNA-seq03:21

RNA-seq

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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. 
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Nuclear Localization Signals and Import01:46

Nuclear Localization Signals and Import

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Proteins targeted to the nucleus carry short stretches of amino acid sequences called the nuclear localization signal or NLS. Classical nuclear localization signals are of two types: monopartite and bipartite NLS. Monopartite classical NLS (cNLS) consists of a single cluster of 4-8 amino acids. Bipartite cNLS consists of two clusters of  2-3 amino acids and a 9-12 residue long proline-rich linker bridging the two clusters. Signal clusters are rich in positively charged amino acids such as...
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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...
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LncTracker:一个统一的多道框架,用于多标签 lncRNA 定位.

Yi Hao, Xudong Guo, Zixu Ran

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    概括
    此摘要是机器生成的。

    LncTracker使用序列和结构准确地预测长非编码RNA (lncRNA) 细胞下定位. 这种深度学习工具增强了对细胞调节和疾病中的lncRNA功能的理解.

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    科学领域:

    • 分子生物学分子生物学
    • 生物信息学是一种生物信息学.
    • 基因组学就是基因组学.

    背景情况:

    • 长非编码RNAs (lncRNAs) 是生物过程的关键调节者.
    • lncRNA亚细胞定位决定了它们的功能,对于理解细胞调节和疾病至关重要.
    • 现有的预测方法经常忽略结构信息,并与多标签分类作斗争.

    研究的目的:

    • 开发一个高效的深度学习框架,LncTracker,用于lncRNA亚细胞定位的多标签预测.
    • 整合序列和二次结构信息,以提高预测准确度.
    • 为 LncTracker 可访问性提供一个用户友好的 Web 服务器.

    主要方法:

    • 开发了LncTracker,这是一个多道深度学习框架.
    • 集成的初级序列和二级结构信息,将结构转换为属性图.
    • 利用联合序列结构表示来预测七个隔间的本地化.

    主要成果:

    • 与最先进的方法相比,LncTracker表现出更高的性能,特别是对于不平衡的数据集.
    • 该框架有效地确定了对本地化有贡献的序列动图和关键子结构.
    • 实现了lncRNA亚细胞局部化的强大而准确的多标签预测.

    结论:

    • 通过整合序列和结构数据,LncTracker提供了一种强大而准确的方法来预测lncRNA亚细胞定位.
    • 该工具增强了对lncRNA功能及其在疾病机制中的作用的研究.
    • 公开可用的Web服务器促进了 lncRNA本地化预测的更广泛的研究和应用.