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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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CRISPR and crRNAs02:53

CRISPR and crRNAs

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Bacteria and archaea are susceptible to viral infections just like eukaryotes; therefore, they have developed a unique adaptive immune system to protect themselves. Clustered regularly interspaced short palindromic repeats and CRISPR-associated proteins (CRISPR-Cas) are present in more than 45% of known bacteria and 90% of known archaea.
The CRISPR-Cas system stores a copy of foreign DNA in the host genome and uses it to identify the foreign DNA upon reinfection. CRISPR-Cas has three different...
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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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Ribosomal RNA Synthesis02:53

Ribosomal RNA Synthesis

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Ribosome synthesis is a highly complex and coordinated process involving more than 200 assembly factors. The synthesis and processing of ribosomal components occurs not only in the nucleolus but also in the nucleoplasm and the cytoplasm of eukaryotic cells.
Ribosome biogenesis begins with the synthesis of 5S and 45S pre-rRNAs by distinct RNA polymerases. The primary transcripts are extensively processed and modified before they are bound and folded by ribosomal proteins and assembly factors,...
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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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Leaky Scanning02:28

Leaky Scanning

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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...
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相关实验视频

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Identification of Circular RNAs using RNA Sequencing
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Identification of Circular RNAs using RNA Sequencing

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新发现的编码蛋白质的circRNAs:最近的进展

Xiaotong Shi1,2, Shiyu Liao2, Zhiguo Bi2

  • 1Department of Obstetrics and Gynecology, Beijing Chao-yang Hospital of Capital Medical University, Beijing, China.

Frontiers in genetics
|October 13, 2023
PubMed
概括

循环RNAs (circRNAs) 是稳定的RNA分子. 新发现的circRNA编码的蛋白质显示出疾病诊断和治疗的潜力,提供了新的研究途径.

关键词:
圆形的RNARNA是一个圆形的RNA.疾病的进展 疾病的进展这是一种编码蛋白质.骨质肉瘤病理学 骨质肉瘤病理学监管机制 监管机制

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科学领域:

  • 分子生物学分子生物学
  • 遗传学 是一个遗传学.
  • 生物化学 生物化学

背景情况:

  • 循环RNAs (circRNAs) 是具有稳定,闭环结构的非编码RNA分子.
  • 循环RNAs 作为微RNA (miRNA) 的海绵,调节与疾病相关的miRNAs.
  • 最近的发现显示,circRNAs可以通过小型开放的读取来编码/蛋白质.

研究的目的:

  • 审查自2022年以来发现的circRNA编码蛋白的机制.
  • 总结关于circRNA编码蛋白的研究进展.
  • 讨论 circRNA 功能位点和编码蛋白质的预测模型.

主要方法:

  • 对2022年以来发表的研究的文献综述.
  • 对circRNA衍生蛋白的作用机制的分析.
  • 探索用于预测circRNA函数的计算模型.

主要成果:

  • 环RNA编码的蛋白质在各种疾病机制中起着重要作用.
  • 这些蛋白质在疾病诊断和治疗中具有潜在的应用.
  • 预测模型为识别功能部位和编码的蛋白质提供了洞察力.

结论:

  • 环RNA编码蛋白质在RNA研究中代表了一个具有治疗潜力的新领域.
  • 对circRNA编码的蛋白质及其预测模型的进一步研究是有必要的.
  • 这一领域有望促进疾病理解和治疗策略的发展.