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相关概念视频

Mutations in Microorganisms01:18

Mutations in Microorganisms

91
Mutations are heritable changes in an organism’s genome involving alterations in the base sequence of DNA or RNA. These changes can influence cellular processes and phenotypic traits, potentially transforming the unaltered wild type into a mutant form. Such changes, termed forward mutations, are pivotal in shaping the genetic diversity of organisms.RNA viruses exhibit the highest mutation rates due to the absence of robust proofreading mechanisms during genome replication. In contrast,...
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In-vitro Mutagenesis01:16

In-vitro Mutagenesis

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To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.
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Spontaneous and Induced Mutations01:30

Spontaneous and Induced Mutations

163
Spontaneous mutations arise infrequently during DNA replication due to errors in the process. A key factor behind these errors is tautomeric shifts in nitrogenous bases, where bases transition from keto to enol forms or amino to imino forms. This shift can alter base-pairing rules, leading to mutations. Additionally, reactive oxygen species (ROS) arising from aerobic metabolism can damage DNA, resulting in depurination (loss of a purine base) or depyrimidination (loss of a pyrimidine base).
163
Mismatch Repair01:20

Mismatch Repair

5.2K
Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
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Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

10.9K
The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...
10.9K
Ribosome Profiling02:24

Ribosome Profiling

3.6K
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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相关实验视频

Updated: Sep 16, 2025

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
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功能残基学 - - 分析误解突变如何影响细胞系统.

Guangshuo Ou1,2,3,4,5

  • 1Tsinghua-Peking Center for Life Sciences , Tsinghua University, Beijing 100084, China.

Journal of cell science
|July 7, 2025
PubMed
概括

功能残基学研究了氨基酸变化如何影响蛋白质功能,超越了基因突变. 这种方法将小序列变化与细胞和组织特征联系起来,有助于精准医学.

关键词:
功能残留组学 功能残留组学

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科学领域:

  • 生物化学和分子生物学
  • 遗传学和基因组学 遗传学和基因组学
  • 系统生物学 系统生物学

背景情况:

  • 传统遗传学专注于基因水平突变.
  • 功能残留学研究了单个氨基酸残留物改变对蛋白质功能和细胞过程的影响.
  • 了解残留物水平的变化对于破译复杂的生物系统至关重要.

研究的目的:

  • 要突出从基因中心分析到残留中心分析的范式转变,以了解蛋白质功能.
  • 强调功能残基学在将原子尺度变化与细胞和生物现象型联系起来方面的潜力.
  • 讨论残留组学对临床诊断和治疗开发的影响.

主要方法:

  • 在蛋白质组中对错误感应突变的系统检查.
  • 突变发生技术与高通量表型的整合.
  • 应用先进的遗传工具,如和基因组编辑 (SGE) 和多重变异效应测试 (MAVEs).

主要成果:

  • 余量学将小氨基酸序列的变化与有机体动力学和组织表型联系起来.
  • 这种方法弥合了原子层面的变化与宏观生物系统之间的差距.
  • 在SGE和MAVE的进步证明了残基经济学在分析人类遗传变异中的实用性.

结论:

  • 功能残基组学为了解蛋白质功能及其对生物系统的影响提供了一个强大的框架.
  • 它对推进精准医学和开发新型诊断和治疗方法具有重大前景.
  • 基因技术和数据分析的持续创新将进一步释放残留经济学的潜力.