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Combining Bulk RNA-seq and scRNA-seq data to identify RNA m5C methyltransferases NSUN1: a rising star as a biomarker for cancer diagnosis, prognosis and therapy

BACKGROUND: RNA 5-methylcytosine (m5C) methyltransferases NSUN1 is a member of the NOP2/SUN (NSUN) RNA methyltransferase family. Studies have found that the expression of NSUN1 is elevated in breast and colon cancer and can predict poor prognosis. However, the NSUN1 gene has only been studied in a f...

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Autores principales: Fang, Zhen, Li, Peijuan, Li, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583010/
https://www.ncbi.nlm.nih.gov/pubmed/37859740
http://dx.doi.org/10.21037/tcr-23-66
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author Fang, Zhen
Li, Peijuan
Li, Fei
author_facet Fang, Zhen
Li, Peijuan
Li, Fei
author_sort Fang, Zhen
collection PubMed
description BACKGROUND: RNA 5-methylcytosine (m5C) methyltransferases NSUN1 is a member of the NOP2/SUN (NSUN) RNA methyltransferase family. Studies have found that the expression of NSUN1 is elevated in breast and colon cancer and can predict poor prognosis. However, the NSUN1 gene has only been studied in a few tumors. METHODS: Single-cell RNA sequencing (scRNA-seq) and Bulk RNA-seq data were used for comprehensive analysis of NSUN1 in cancers. The Human Protein Atlas (HPA) database was used to identify the gene location. Immunofluorescence staining was used to detect NSUN1 subcellular distribution within the nucleus, endoplasmic reticulum (ER), and microtubules of A-431, U-2, U-251 cells. The cBioPortal tool was used to analyze the alteration frequency and mutation type. The epigenetic profile of NSUN1 also was analyzed by using the University of Alabama at Birmingham CANcer data analysis Portal (UCLCAN). Tumor mutation burden (TMB), microsatellite instability (MSI), and immune checkpoint expression in cancers were analyzed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to perform enrichment and visualization. The study was based on online resources and public databases. RESULTS: Elevated NSUN1 expression had been observed in most human cancers. Analysis of scRNA-seq data showed that NSUN1 was highly expressed in immune cells such as T cells, B cells, and dendritic (DC) cells. High NSUN1 expression indicated poor overall survival (OS) and disease-free survival (DFS). The characteristics of genetic alteration, methylation and phosphorylation of NSUN1 were analyzed and higher levels of phosphorylation in tumor tissues were found. In addition, the expression of NSUN1 was closely related to tumor-infiltrating immune cells. At the same time, the expression of NSUN1 was positively correlated with the expression of multiple immune checkpoints. CONCLUSIONS: The gene expression profile, survival status, genetic alteration, methylation, phosphorylation and infiltrating immune cells of NSUN1 in human cancers were comprehensively analyzed. The results herein implied that NSUN1 may be an effective biomarker for early cancer diagnosis, prognosis and therapy.
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spelling pubmed-105830102023-10-19 Combining Bulk RNA-seq and scRNA-seq data to identify RNA m5C methyltransferases NSUN1: a rising star as a biomarker for cancer diagnosis, prognosis and therapy Fang, Zhen Li, Peijuan Li, Fei Transl Cancer Res Original Article BACKGROUND: RNA 5-methylcytosine (m5C) methyltransferases NSUN1 is a member of the NOP2/SUN (NSUN) RNA methyltransferase family. Studies have found that the expression of NSUN1 is elevated in breast and colon cancer and can predict poor prognosis. However, the NSUN1 gene has only been studied in a few tumors. METHODS: Single-cell RNA sequencing (scRNA-seq) and Bulk RNA-seq data were used for comprehensive analysis of NSUN1 in cancers. The Human Protein Atlas (HPA) database was used to identify the gene location. Immunofluorescence staining was used to detect NSUN1 subcellular distribution within the nucleus, endoplasmic reticulum (ER), and microtubules of A-431, U-2, U-251 cells. The cBioPortal tool was used to analyze the alteration frequency and mutation type. The epigenetic profile of NSUN1 also was analyzed by using the University of Alabama at Birmingham CANcer data analysis Portal (UCLCAN). Tumor mutation burden (TMB), microsatellite instability (MSI), and immune checkpoint expression in cancers were analyzed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to perform enrichment and visualization. The study was based on online resources and public databases. RESULTS: Elevated NSUN1 expression had been observed in most human cancers. Analysis of scRNA-seq data showed that NSUN1 was highly expressed in immune cells such as T cells, B cells, and dendritic (DC) cells. High NSUN1 expression indicated poor overall survival (OS) and disease-free survival (DFS). The characteristics of genetic alteration, methylation and phosphorylation of NSUN1 were analyzed and higher levels of phosphorylation in tumor tissues were found. In addition, the expression of NSUN1 was closely related to tumor-infiltrating immune cells. At the same time, the expression of NSUN1 was positively correlated with the expression of multiple immune checkpoints. CONCLUSIONS: The gene expression profile, survival status, genetic alteration, methylation, phosphorylation and infiltrating immune cells of NSUN1 in human cancers were comprehensively analyzed. The results herein implied that NSUN1 may be an effective biomarker for early cancer diagnosis, prognosis and therapy. AME Publishing Company 2023-08-28 2023-09-30 /pmc/articles/PMC10583010/ /pubmed/37859740 http://dx.doi.org/10.21037/tcr-23-66 Text en 2023 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Fang, Zhen
Li, Peijuan
Li, Fei
Combining Bulk RNA-seq and scRNA-seq data to identify RNA m5C methyltransferases NSUN1: a rising star as a biomarker for cancer diagnosis, prognosis and therapy
title Combining Bulk RNA-seq and scRNA-seq data to identify RNA m5C methyltransferases NSUN1: a rising star as a biomarker for cancer diagnosis, prognosis and therapy
title_full Combining Bulk RNA-seq and scRNA-seq data to identify RNA m5C methyltransferases NSUN1: a rising star as a biomarker for cancer diagnosis, prognosis and therapy
title_fullStr Combining Bulk RNA-seq and scRNA-seq data to identify RNA m5C methyltransferases NSUN1: a rising star as a biomarker for cancer diagnosis, prognosis and therapy
title_full_unstemmed Combining Bulk RNA-seq and scRNA-seq data to identify RNA m5C methyltransferases NSUN1: a rising star as a biomarker for cancer diagnosis, prognosis and therapy
title_short Combining Bulk RNA-seq and scRNA-seq data to identify RNA m5C methyltransferases NSUN1: a rising star as a biomarker for cancer diagnosis, prognosis and therapy
title_sort combining bulk rna-seq and scrna-seq data to identify rna m5c methyltransferases nsun1: a rising star as a biomarker for cancer diagnosis, prognosis and therapy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583010/
https://www.ncbi.nlm.nih.gov/pubmed/37859740
http://dx.doi.org/10.21037/tcr-23-66
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