Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC

Collectively, integrating T cell-Related Ubiquitination genes through advanced computational analyses, we established a robust prognostic model for OSCC and identified MNAT1 as a promoter of malignant progression, highlighting its therapeutic potential.

Authors

Yu Shi (ORCID: https://orcid.org/0000-0003-2185-9634)
Weiping Yang (ORCID: https://orcid.org/0000-0001-8839-2173)
Jiayao Wang (ORCID: https://orcid.org/0000-0003-4128-8541)
L. Liu
Han Gao (ORCID: https://orcid.org/0009-0002-5782-6818)
Qian Wang (ORCID: https://orcid.org/0000-0003-4531-9499)
Yanfei Wu

Institutions

Huzhou Normal University (CN)
Third People's Hospital of Huzhou (CN)

Publication Details

Journal: Frontiers in Immunology
Published: 2025-10-29
DOI: https://doi.org/10.3389/fimmu.2025.1663487
Primary Topic: Single-cell and spatial transcriptomics
Type: article
Field-Weighted Citation Impact: 0.00

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article

Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC

Yu Shi, Weiping Yang, Jiayao Wang, L. Liu et al.

Oct 29, 2025

Frontiers in Immunology

Single-cell and spatial transcriptomics

article

Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC

Yu Shi, Weiping Yang, Jiayao Wang, L. Liu, Han Gao, Qian Wang, Yanfei Wu

October 29, 2025article en

Abstract

Collectively, integrating T cell-Related Ubiquitination genes through advanced computational analyses, we established a robust prognostic model for OSCC and identified MNAT1 as a promoter of malignant progression, highlighting its therapeutic potential.

Frontiers in ImmunologyVol. 16

Huzhou Normal University (CN), Third People's Hospital of Huzhou (CN)

Openalex Percentile: Top 72%

Single-cell and spatial transcriptomics

DOI Open Access PDF OpenAlex

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Integrating scRNA-seq and machine learning identifies MNAT1 as a therapeutic target in OSCC — Yu Shi, Weiping Yang, et al. · Frontiers in Immunology (2025) | TGRS Research Map | TGRS