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相关概念视频

RNA-seq03:21

RNA-seq

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 microarray-based...
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
Ribosome Profiling02:24

Ribosome Profiling

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 helps...
Leaky Scanning02:28

Leaky Scanning

During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R stands for...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Bacterial Transcription01:53

Bacterial Transcription

RNA polymerase (RNAP) carries out DNA-dependent RNA synthesis in both bacteria and eukaryotes. Bacteria do not have a membrane-bound nucleus. So, transcription and translation occur simultaneously, on the same DNA template.
Transcription can be divided into three main stages, each involving distinct DNA sequences to guide the polymerase. These are:

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相关实验视频

Updated: May 24, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

评论"人类转录组中广泛存在的RNA和DNA序列差异"

Claudia L Kleinman1, Jacek Majewski

  • 1Department of Human Genetics, McGill University, Montreal, Quebec, Canada. claudia.kleinman@mcgill.ca

Science (New York, N.Y.)
|March 17, 2012
PubMed
概括

高通量测序错误,而不是RNA编辑,解释了人类细胞中大多数DNA-RNA差异. 这项研究通过考虑系统测序技术错误,重新审视了RNA编辑要求.

科学领域:

  • 分子生物学分子生物学
  • 基因组学就是基因组学.
  • 生物化学 生物化学

背景情况:

  • 之前的研究由Li等人. 在人类细胞中报告了显著的DNA-RNA差异,这表明了新的RNA编辑机制.
  • 这些报告的差异意味着RNA编辑的前所未有的水平超出了已知的途径.

研究的目的:

  • 重新评估Li等人发现的结果. 关于DNA-RNA差异的研究.
  • 调查高通量测序技术中系统错误在解释这些差异方面的作用.

主要方法:

  • 重新分析现有的高通量测序数据.
  • 识别和量化测序技术中常见的系统错误.
  • 测序错误概况与报告的DNA-RNA差异的比较.

主要成果:

  • 大多数声称的DNA-RNA差异都归因于测序技术中未解决的系统错误.
  • 该研究确定了与已知的测序文物一致的特定错误模式.
  • 在最初的研究中,新型RNA编辑的程度被严重高估了.

结论:

  • 高通量测序技术中的系统性错误是DNA-RNA差异分析的主要混因素.

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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

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相关实验视频

Last Updated: May 24, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library
07:28

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library

Published on: January 10, 2025

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

  • 报告的高水平的新型RNA编辑由Li等人. 在很大程度上可以通过这些技术工件来解释.
  • 进一步的研究必须严格考虑测序错误,以准确评估RNA编辑.