通过长时间读取的RNA-seq基于蛋白质基因组学的样本特定的单元型解析蛋白质异型特征化.
bioRxiv : the preprint server for biology
|March 16, 2026
概括
这项研究引入了一个新的工作流程,使用长读RNA测序 (lrRNA-seq) 来创建准确的,样本特定的蛋白质数据库. 这改善了质谱 (MS) 分析,使得新型蛋白质异型和遗传变异的检测成为可能.
科学领域:
- 蛋白质基因组学是什么
- 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:
- 基于质谱 (MS) 的蛋白质基因组学依赖于准确的蛋白质数据库.
- 现有的方法往往无法捕捉样本内的全部遗传和转录组多样性.
- 长读RNA测序 (lrRNA-seq) 提供了一种方法,可以同时识别完整的转录结构和遗传变异.
研究的目的:
- 开发一个端到端的工作流程,用于构建和搜索单 haplotype 解析,样本特定的蛋白质组.
- 为了利用匹配的lrRNA-seq和MS数据来改善蛋白质基因组学.
- 为了能够检测异位基因特异性蛋白质异形和相关变体.
主要方法:
- 在PacBio lrRNA-seq数据上对比分级算法.
- 开发Snakemake管道用于变体调用,基于读取的分相,转录发现和蛋白质组构造.
- 针对MS数据进行样本特异性,单 haplotype 解析的蛋白质组的搜索.
主要成果:
- 确定了 lrRNA-seq. 的高精度和完整阶段化方法.
- 证明特定样本的数据库能够检测出变异和拼接,等位基因特定的异构形和由参考蛋白质组遗漏的链接变异.
- 成功地将工作流应用于细胞系和分化时间课程.
结论:
- 基于lrRNA-seq的分相是蛋白质基因组学的一个可行和有效的方法.
- 开发的工作流提供了一个实用的框架,用于对等位基解析蛋白质体的表征.
- 这种方法增强了蛋白质组在动态或与疾病相关的生物环境中的表征.
相关概念视频
02:24Ribosome Profiling
4.3K
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...
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...
4.3K
03:21RNA-seq
12.4K
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...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
12.4K