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Histone Variants at the Centromere02:30

Histone Variants at the Centromere

Histone variants are the histone proteins with structural and sequence variations. These variants may be regarded as “mutant” forms that replace their canonical histone counterparts in the nucleosomes. Specific post-translational modifications on the histone variants enable further chromatin complexity and regulate tissue-specific gene expression. The most common histone variants are from histone H2A, H2B, and linker histone H1 families. However, several variants of histone H3 variants are also...
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific primer.
Since the...
Sanger Sequencing01:57

Sanger Sequencing

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...
Centrosome Duplication02:25

Centrosome Duplication

The primary microtubule organizing center (MTOC) in animal cells is the centrosome. A centrosome has two cylindrical centrioles at its core. Each centriole consists of nine sets of three microtubules held together by proteins. The centrioles are positioned at right angles to each other and surrounded by a shapeless protein cloud called the pericentriolar matrix, or pericentriolar material (PCM).
To ensure that each daughter cell receives a centrosome after cell division, centrosome duplication...
Centrosome Duplication02:25

Centrosome Duplication

The primary microtubule organizing center (MTOC) in animal cells is the centrosome. A centrosome has two cylindrical centrioles at its core. Each centriole consists of nine sets of three microtubules held together by proteins. The centrioles are positioned at right angles to each other and surrounded by a shapeless protein cloud called the pericentriolar matrix, or pericentriolar material (PCM).
To ensure that each daughter cell receives a centrosome after cell division, centrosome duplication...

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相关实验视频

Updated: Jun 7, 2026

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
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用RaMA对中间体进行快速序列对齐.

Pinglu Zhang1,2, Yanming Wei2,3, Qinzhong Tian1,2

  • 1Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China.

Genome research
|February 12, 2025
PubMed
概括

一个新的工具,罕见匹配对齐器 (RaMA),改善了复杂的中心区域的基因组对齐. 它准确地捕捉了基因进化,并加快了分析速度,克服了人类泛基因组研究当前方法的局限性.

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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 人类泛基因组使得研究复杂的基因组区域,如中间体,其中包含超长串联重复 (ETRs).
  • 现有的序列对齐工具很难准确地代表ETRs中的遗传变异.

研究的目的:

  • 开发一种先进的对齐工具,罕见匹配对齐器 (RaMA),用于更好地分析复杂的基因组区域.
  • 为了提高中心基DNA序列对齐的准确性和效率.

主要方法:

  • 开发 RaMA 使用罕见匹配作为和一个两部分的亲缘差距成本模型.
  • 实现并行计算和波算法,以加速发现和对齐.
  • 引入了用于定义可靠对齐区域的新方法.

主要成果:

  • 与现有方法相比,RaMA实现了更精确的对齐,有效地捕捉了模拟和真实数据 (CHM13,CHM1) 中的高阶重复 (HOR) 结构 (CHM13和CHM1).
  • 该工具显示了显著的速度改进 (速度高达13.66倍),并减少了内存使用 (11%的UniAligner).
  • 通过精细的对齐区域定义,提高了中心度对齐统计的准确性.

结论:

  • 拉马为对齐复杂的基因组序列提供了更准确,更有效的解决方案,特别是在中心区域.
  • 该工具推进了ETR中遗传事件的分析,这对于理解人类泛基因组多样性至关重要.
  • 在涉及重复性DNA元素的基因组研究中,RaMA代表了显著的进步.