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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Types of RNA01:20

Types of RNA

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Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in regulating gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
RNA Performs Diverse...
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Organization of Genes02:07

Organization of Genes

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Overview
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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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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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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Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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相关实验视频

Updated: Jun 19, 2025

De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
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De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data

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编码,或非编码,这是一个问题.

Laura Poliseno1,2, Martina Lanza3,4,5, Pier Paolo Pandolfi6,7

  • 1Oncogenomics Unit, Core Research Laboratory, ISPRO, Pisa, Italy. laura.poliseno@cnr.it.

Cell research
|July 25, 2024
PubMed
概括
此摘要是机器生成的。

基因组包含的非编码RNA比编码蛋白质的基因更多. 一些基因可以产生编码和非编码RNA,模糊线条并提供新的治疗点.

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

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De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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科学领域:

  • 基因组学就是基因组学.
  • 分子生物学分子生物学
  • 基因表达 基因表达

背景情况:

  • 高通量测序揭示了非编码RNAs (ncRNAs) 的普遍转录,其数量超过了编码蛋白质的基因.
  • 从非正规的开放阅读框架中翻译的的发现挑战了传统的编码与非编码基因的定义.
  • 研究越来越多地探索ncRNAs的功能作用和基因产品的复杂性质.

研究的目的:

  • 审查表达编码和非编码产品的双功能基因的例子.
  • 讨论双功能基因表达对分子机制和生物结果的影响.
  • 突出研究和利用双功能基因的方法学挑战和治疗机会,特别是用于抗癌疗法.

主要方法:

  • 文献综述专注于研究调查双功能基因的研究.
  • 分析了从多体/核糖体分析和质谱学中获得的数据.
  • 讨论对基因表达调节和治疗开发的影响.

主要成果:

  • 编码与非编码基因分类已经过时,许多基因表现出双功能表达.
  • 双功能基因表达可以导致一致或不一致的分子和生物输出.
  • 研究这些复杂的基因产物存在方法上的挑战.

结论:

  • 双功能基因的复杂性质需要对基因定义和表达进行重新评估.
  • 了解这些复杂的转录为新的治疗策略提供了潜力,特别是在瘤学中.
  • 需要进一步的研究,以充分阐明双功能基因的机制和应用.