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関連する概念動画

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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関連する実験動画

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

コメント on "ヒトのトランスクリプトームにおける広範囲にわたるRNAとDNA配列の違い"

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
まとめ
この要約は機械生成です。

RNA編集ではなく,高通量配列のエラーが,ヒト細胞のほとんどのDNA-RNAの違いを説明しています. この研究は,体系的なシーケンシング技術上のエラーを考慮することによって,RNA編集の主張を再検討します.

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

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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
12:54

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

Published on: March 7, 2018

関連する実験動画

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
12:54

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

Published on: March 7, 2018

科学分野:

  • 分子生物学は分子生物学である.
  • ゲノミクスゲノミクスとは
  • バイオケミストリー バイオケミストリー

背景:

  • Li et al.による以前の研究. ヒト細胞におけるDNA-RNAの有意な差異が報告され,新たなRNA編集メカニズムが示唆されている.
  • これらの報告された差異は,既知の経路を超えて,前例のないレベルのRNA編集を暗示しています.

研究 の 目的:

  • Li et al.の発見を再評価する. DNA-RNAの違いについて.
  • これらの不一致を説明するために,高スループットシーケンシング技術における体系的なエラーの役割を調査する.

主な方法:

  • 既存の高通量シーケンシングデータの再分析.
  • 配列技術における一般的なシステマティックエラーの特定と定量化.
  • 報告されたDNA-RNAの差異とシーケンシングエラープロフィールの比較.

主要な成果:

  • 主張されたDNA-RNAの差異のほとんどは,配列技術における未解決のシステマティックなエラーに起因しています.
  • この研究では,既知のシーケンシングアーティファクトと一致する特定のエラーパターンを特定しました.
  • 新種のRNA編集の範囲は,元の研究で著しく過大評価されていた.

結論:

  • 高通量配列技術における体系的なエラーは,DNA-RNA差異分析における主要な混乱要因である.
  • Li et al.によって報告された新種のRNA編集の高いレベル. これらの技術的な人工物によって大きく説明されます.
  • RNA編集を正確に評価するために,さらなる研究は,配列のエラーを厳格に考慮する必要があります.