A new proteogenomic approach combined with long-read sequencing and HLA-ligandome to identify novel neoantigens

NIAID Data Ecosystem2026-05-10 收录

肿瘤新抗原

黑色素瘤HLA肽组学

数据链接：

https://www.omicsdi.org/dataset/jpost/PXD056367 数据链接链接失效反馈

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资源简介：

Mass spectrometry data of human melanoma HLA peptidomes

创建时间：

2025-12-26

Neoantigen-2-Non-Normal-Database-Generation

肿瘤新抗原

多组学数据整合

Proteogenomics leverages mass spectrometry (MS)-based proteomics data alongside genomics and transcriptomics data to identify neoantigens—unique peptide sequences arising from tumor-specific mutations

Zenodo2024-12-10 更新70

T cell neoepitope discovery in colorectal cancer by high throughput profiling of somatic mutations in expressed genes. Homo sapiens

肿瘤新抗原

结直肠癌免疫治疗

Patient-specific (unique) tumour antigens, encoded by somatically mutated cancer genes, generate neoepitopes that are implicated in the induction of tumour-controlling T cell responses. We undertook t

NIAID Data Ecosystem70

Immunopeptidomics of colorectal cancer organoids reveals a sparse HLA class I neoantigen landscape and no increase in neoantigens with interferon or MEK-inhibitor treatment

肿瘤新抗原

癌症类器官免疫肽组学

Study EGAS00001003886EGA study EGAS00001003886

NIAID Data Ecosystem30

Targeting the tumor mutanome for personalized vaccination in lung cancer. Targeting the tumor mutanome for personalized vaccination in lung cancer

肿瘤新抗原

个性化肿瘤疫苗

Cancer is characterized by an accumulation of somatic mutations, of which a significant subset can generate cancer-specific neoepitopes that are recognized by autologous T cells. Neoepitopes are emerg

NIAID Data Ecosystem70

Identification of splice-neoepitopes in mouse cancer cell lines treated with RECTAS. Identification of splice-neoepitopes in mouse cancer cell lines treated with RECTAS

肿瘤新抗原

RNA剪接调控

Aberrant pre-mRNA splicing events in tumor cells generate tumor-specific splice junctions, translating potential neoantigens. RNA-seq was performed to examine whether a small molecule compound RECTAS

NIAID Data Ecosystem40

A new proteogenomic approach combined with long-read sequencing and HLA-ligandome to identify novel neoantigens

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