Author
Hyeongseon Jeon
The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research InstituteORCID 0000-0002-3539-4332Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2022-2026 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 32 mutual co-author links6 papers
Recent·Most cited
- ImmunologybioRxivPreprint
Identification of TAP2 protein variants resistant to inhibition by the HSV1 ICP47 protein
Gregory Nagy, Rebecca Presley, Shruti Dhar…·Jeffrey D. Parvin
The paper identifies TAP2 protein variants resistant to HSV1 ICP47 inhibition, which could lead to new antiviral therapies.
DOI 10.1101/2024.11.18.624061 - Cancer BiologybioRxivPreprint
Multiplexed functional analysis of TAP2 variants in regulating MHC-I cell surface abundance reveals overexpression of PLK1 downregulates antigen presentation.
Gregory Nagy, Rebecca Presley, Hyeongseon Jeon…·Jeffrey D. Parvin
The paper functionally screens TAP2 variants to show PLK1 overexpression reduces MHC-I surface abundance by phosphorylating TAP2, impairing antigen presentation in cancer cells.
2 citations - BioinformaticsbioRxivPreprint
spaDesign: A Statistical Framework to Improve the Design of Sequencing-based Spatial Transcriptomics Experiments
Juan Xie, Hyeongseon Jeon, Won Chang…·Dongjun Chung
spaDesign provides a statistical framework to optimize sequencing depth in spatial transcriptomics experiments by simulating data and estimating required sequencing depth for detecting spatial domains.
- BioinformaticsPLoS Computational BiologyPeer-reviewed
LRT: T Cell Trajectory Inference by Integrative Analysis of Single Cell TCR-seq and RNA-seq data
Juan Xie, Hyeongseon Jeon, Gang Xin…·Dongjun Chung
LRT integrates scTCR-seq and scRNA-seq data to infer T cell trajectories by combining clonal relationships with transcriptomic profiles.
- BioinformaticsbioRxivPreprint
Defining transcriptomic niches in human fibrotic lung with multi-sample spatial transcriptomics analysis using the MAPLE algorithm
Hyeongseon Jeon, Carter Allen, N.D.P. Vanegas…·Dongjun Chung
The paper uses spatial transcriptomics and the MAPLE algorithm to analyze fibrotic lung tissue, identifying spatial biomarkers and fibrotic programs in IPF.
17 citations