转录组
生物
计算生物学
免疫系统
RNA序列
DNA测序
核糖核酸
免疫
基因
抗原
深度测序
T细胞
遗传学
蛋白质基因组学
基因组
免疫疗法
免疫受体
受体
人类白细胞抗原
免疫学
人类基因组
作者
Takamasa Ishino,Tomofumi Watanabe,Serina Tokita,Youki Ueda,Katsushige Kawase,Yuka Takano,Yin Min Thu,Yuta Suzuki,Chie Owa,Takashi Inozume,Wenhao Zhou,Joji Nagasaki,Vitaly Kochin,Toshihide Ueno,Shinya Kojima,Akiko Honobe-Tabuchi,Tatsuyoshi Kawamura,Takehiro Ohnuma,Takamitsu Matsuzawa,Yu Kawahara
出处
期刊:Cell Reports
[Cell Press]
日期:2025-12-24
卷期号:45 (1): 116781-116781
标识
DOI:10.1016/j.celrep.2025.116781
摘要
Neoantigens are crucial for antitumor immunity and immune checkpoint inhibitor (ICI) efficacy by triggering strong immune responses. However, conventional methods for identifying neoantigens, such as whole-exon sequencing and short-read RNA sequencing (RNA-seq), appear to be insufficient, and the tumor mutational burden cannot sufficiently predict ICI efficacy. In this study, we employed a proteogenomic approach using long-read RNA-seq with Pacific Biosciences Single-Molecule Real-Time Sequencing technology to analyze full-length transcripts in combination with the human leukocyte antigen ligandome. As a result, many neoantigen candidates were identified, which were unregistered in a comprehensive database, including those from non-coding regions. Additionally, we validated the responses of specific T cell receptors (TCRs) to these candidates and identified several pairs of TCRs and neoantigens. These findings highlight the presence of more diverse neoantigens than expected that cannot be identified by conventional methods.
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