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相关概念视频

Next-generation Sequencing03:00

Next-generation Sequencing

99.9K
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....
99.9K
RNA-seq03:21

RNA-seq

12.3K
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...
12.3K
Sanger Sequencing01:57

Sanger Sequencing

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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
776.3K

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相关实验视频

Updated: Mar 6, 2026

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing RIPiT-Seq
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Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing RIPiT-Seq

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使用InstaNexusus进行可概括的直接蛋白质测序.

Marco Reverenna1, Maike Wennekers Nielsen2, Darian Stephan Wolff3

  • 1Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.

Molecular & cellular proteomics : MCP
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概括
此摘要是机器生成的。

这项研究引入了一种新的人工智能驱动的直接蛋白质测序工作流,克服了治疗蛋白质表征目前方法的局限性. 这种方法可以准确地重建蛋白质序列,推进精密蛋白质组学.

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Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform
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DamID-seq: Genome-wide Mapping of Protein-DNA Interactions by High Throughput Sequencing of Adenine-methylated DNA Fragments
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相关实验视频

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Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing RIPiT-Seq

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科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 生物技术是生物技术.
  • 计算生物学 计算生物学

背景情况:

  • 精确的蛋白质测序对于生物研究和治疗开发至关重要.
  • 像抗体这样的基于蛋白质的疗法不是基因组编码的,这使得使用标准蛋白质组学来描述它们的特征变得复杂.
  • 现有的蛋白质表征方法是间接的,碎片化的,劳动密集的,并且限制了功能洞察力.

研究的目的:

  • 开发一种可通用,端到端的直接蛋白质测序工作流程.
  • 为了能够准确地描述基于蛋白质的治疗药物和其他非基因组蛋白质.
  • 改善功能洞察力和蛋白质分析的常规应用.

主要方法:

  • 简化样本准备用于直接蛋白质测序.
  • 用人工智能驱动的de novo序列为碎片分析.
  • 量身定制的组装算法和用于序列重建的新型复合分数框架.

主要成果:

  • 从各种蛋白质模式中成功重建连续的蛋白质序列.
  • 证明了功能关键蛋白质区域的强大测序.
  • 工作流提高了准确性,并减少了蛋白质序列确定中的模两可.

结论:

  • 提出的工作流提供了精密蛋白质组学的重大进步.
  • 它为直接蛋白质测序提供了可通用和准确的方法.
  • 潜在的应用包括治疗发现,免疫分析和更广泛的蛋白质科学.