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Mismatch Repair

Mismatch Repair

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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Updated: Jul 28, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

ARMADiLLO:一个用于分析抗体突变概率的Web服务器.

Joshua S Martin Beem¹, Sravani Venkatayogi¹, Barton F Haynes^1,2

¹Duke Human Vaccine Institute, Duke University Medical Center; Durham, NC27710, USA.

Nucleic acids research

|June 1, 2023

概括

一个新的网络服务器,ARMADiLLO,估计了在亲和力成熟期间抗体突变的概率. 该工具有助于免疫学家和疫苗设计人员了解B细胞的进化和开发有效的抗体疗法.

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Analysis of Somatic Hypermutation in the JH4 intron of Germinal Center B cells from Mouse Peyer's Patches

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Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Published on: December 9, 2015

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Last Updated: Jul 28, 2025

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Analysis of Somatic Hypermutation in the JH4 intron of Germinal Center B cells from Mouse Peyer's Patches

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Published on: December 9, 2015

科学领域:

免疫学免疫学免疫学
分子生物学分子生物学
生物信息学是一种生物信息学.

背景情况:

抗体对于病原体防御至关重要,它们的特异性通过亲和力成熟来改进.
身体突变是亲和力成熟的一个关键过程,涉及具有上下文依赖概率的DNA突变.
了解这些突变概率对于B细胞生物学和疫苗开发至关重要.

研究的目的:

介绍ARMADiLLO网络服务器,一个用于分析抗体突变的用户友好的界面.
在抗体序列中提供氨基酸替代的概率估计.
支持B细胞本体发生的研究和广泛中和抗体的设计.

主要方法:

开发抗原受体突变分析仪用于检测低概率事件 (ARMADiLLO) 程序.
实现一个Web服务器界面用于序列分析和概率估计.
模拟体质突变,以确定突变的可能性.

主要成果:

亚马迪洛网络服务器为抗体序列中的所有可能的氨基酸变化提供了概率估计.
人类V基因段和艾滋病毒广泛中和抗体的预计算结果可用.
该工具有助于识别发育速度限制不太可能发生的突变.

结论:

亚马迪洛网络服务器为免疫学家和疫苗设计人员提供了宝贵的资源.
它增强了研究B细胞受体进化和开发向抗体疗法的研究.
该工具有助于理解抗体多样化背后的分子机制.