Intron Retention Induced Neoantigen as Biomarkers in Diseases

dc.contributor.advisorYan, Jingwen
dc.contributor.authorDong, Chuanpeng
dc.contributor.otherLiu, Yunlong
dc.contributor.otherHuang, Kun
dc.contributor.otherWan, Jun
dc.contributor.otherLiu, Xiaowen
dc.date.accessioned2022-08-22T17:57:11Z
dc.date.available2022-08-22T17:57:11Z
dc.date.issued2022-08
dc.degree.date2022en_US
dc.degree.discipline
dc.degree.grantorIndiana Universityen_US
dc.degree.levelPh.D.en_US
dc.descriptionIndiana University-Purdue University Indianapolis (IUPUI)en_US
dc.description.abstractAlternative splicing is a regulatory mechanism that generates multiple mRNA transcripts from a single gene, allowing significant expansion in proteome diversity. Disruption of splicing mechanisms has a large impact on the transcriptome and is a significant driver of complex diseases by producing condition-specific transcripts. Recent studies have reported that mis-spliced RNA transcripts can be another major source of neoantigens directly associated with immune responses. Particularly, aberrant peptides derived from unspliced introns can be presented by the major histocompatibility complex (MHC) class I molecules on the cell surface and elicit immunogenicity. In this dissertation, we first developed an integrated computational pipeline for identifying IR-induced neoantigens (IR-neoAg) from RNA sequencing (RNA-Seq) data. Our workflow also included a random forest classifier for prioritizing the neoepitopes with the highest likelihood to induce a T cell response. Second, we analyzed IR neoantigen using RNA-Seq data for multiple myeloma patients from the MMRF study. Our results suggested that the IR-neoAg load could serve as a prognosis biomarker, and immunosuppression in the myeloma microenvironment might offset the increasing neoantigen load effect. Thirdly, we demonstrated that high IR-neoAg predicts better overall survival in TCGA pancreatic cancer patients. Moreover, our results indicated the IR-neoAg load might be useful in identifying pancreatic cancer patients who might benefit from immune checkpoint blockade (ICB) therapy. Finally, we explored the association of IR-induced neo-peptides with neurodegeneration disease pathology and susceptibility. In conclusion, we presented a state-of-art computational solution for identifying IR-neoAgs, which might aid neoantigen-based vaccine development and the prediction of patient immunotherapy responses. Our studies provide remarkable insights into the roles of alternative splicing in complex diseases by directly mediating immune responses.en_US
dc.description.embargo2023-08-16
dc.identifier.urihttps://hdl.handle.net/1805/29838
dc.identifier.urihttp://dx.doi.org/10.7912/C2/2984
dc.language.isoen_USen_US
dc.subjectbiomarkersen_US
dc.subjectIntron retentionen_US
dc.subjectneoantigenen_US
dc.titleIntron Retention Induced Neoantigen as Biomarkers in Diseasesen_US
dc.typeDissertation
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