相关实验视频

Updated: Jun 24, 2026

Novel RNA-Binding Proteins Isolation by the RaPID Methodology

Novel RNA-Binding Proteins Isolation by the RaPID Methodology

Published on: September 30, 2016

DIPAN:从RNA测序数据中检测出个性化的内基聚亚基化衍生的新抗原

Xiaochuan Liu¹, Wen Jin^1,2, Dengyi Bao¹

¹The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.

Computational and structural biotechnology journal

|May 24, 2024

概括

内部多基化 (IPA) 产生瘤新抗原. 我们的DIPAN方法预测了这些IPA衍生的新抗原,发现它们存在于癌细胞上并影响患者的生存.

科学领域:

基因组学就是基因组学.
癌症生物学癌症生物学
免疫学免疫学免疫学

背景情况:

内部多基化 (IPA) 是一种替代性的多基化类型,其中基因使用内部多基化位点.
异常的IPA事件与各种癌症有关,可能产生新的瘤抗原.
IPA可以产生非编码或截断的蛋白质编码转录,改变蛋白质产品.

研究的目的:

开发一种计算方法,用于预测来自内基多基化 (IPA) 事件的新抗原.
研究IPA事件对癌症瘤新抗原谱的贡献.
分析IPA衍生的新抗原的处理和呈现及其临床相关性.

主要方法:

开发了DIPAN,这是一个集成IPA检测,蛋白质碎片化和MHC结合预测的计算工具.
分析了来自乳腺癌细胞系和卵巢癌临床样本的RNA-seq数据.
进行质谱免疫组分析以验证新抗原呈现.

主要成果:

证明IPA活动对新抗原谱系做出了重大贡献.
证实了IPA衍生的新抗原在癌细胞表面上的处理和呈现.
在不同癌症类型中识别了样本特定和共享的IPA衍生的新抗原.
发现IPA衍生的新抗原负担和患者整体存活率之间存在关联.

结论:

IPA事件代表了瘤新抗原的重要来源.
DIPAN方法有效地预测了IPA衍生的新抗原.
来自IPA的新抗原被加工,呈现在癌细胞上,与患者的生存相关,突出了它们作为癌症生物标志物和治疗点的潜力.

关键词:

癌症癌症癌症癌症内部的多基化.质谱测量质量谱测量新抗原是一种新抗原.

更多相关视频

Sequence-specific and Selective Recognition of Double-stranded RNAs over Single-stranded RNAs by Chemically Modified Peptide Nucleic Acids

Sequence-specific and Selective Recognition of Double-stranded RNAs over Single-stranded RNAs by Chemically Modified Peptide Nucleic Acids

Published on: September 21, 2017

A Blood-based Test for the Detection of ROS1 and RET Fusion Transcripts from Circulating Ribonucleic Acid Using Digital Polymerase Chain Reaction

A Blood-based Test for the Detection of ROS1 and RET Fusion Transcripts from Circulating Ribonucleic Acid Using Digital Polymerase Chain Reaction

Published on: April 5, 2018

相关概念视频

RNA-seq

RNA-seq

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...