PXD036773

PXD036773 is an original dataset announced via ProteomeXchange.

Title	Identification and evaluation of oxidative phosphorylation-related genes regulated by METTL3 in gastric cancer based on proteomics and m6A methylomes
Description	METTL3-mediated RNA N6-methyladenosine (m6A) is the most prevalent modification participates in tumor initiation and progression via regulating expression of their target genes in cancers. However, its role in tumor cell metabolism remains poorly appreciated. In this study, we conducted a multi-omics analysis including m6A microarray and quantitative proteomics to explore the potential effect and mechanism of METTL3 on the metabolism in gastric cancer cells. Our results found that significant alterations in the protein and m6A modification profile which induced by METTL3 overexpression in GC cells. Gene Ontology (GO) enrichment results showed that down-regulated proteins were significantly enriched in intracellular mitochondrial oxidative phosphorylation (OXPHOS), and the Protein-Protein Interaction (PPI) network analysis found that these differentially expressed proteins were significantly associated with OXPHOS. Subsequently, a prognostic model constructed based on the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, and the high-risk group showed a worse prognosis in GC patients. Meanwhile, the Gene Set Enrichment Analysis (GSEA) showed a significant enrichment in the energy metabolism signaling pathway. Then, combined with the results of the m6A microarray analysis, the intersection molecules of DEPs and differential methylation genes (DMGs) were significantly correlated with the genes involved in OXPHOS. Besides, there were also significant differences in prognosis and GSEA enrichment between the two clusters of GC patients classified according to consensus clustering algorithm. Finally, we focused on highly expressed, highly methylated molecules regulated by METTL3 and identified three (AVEN, DAZAP2, DNAJB1) genes that were significantly associated with poor prognosis in patients with GC. These results indicated that METTL3-regulated DEPs in GC cells were significantly associated with OXPHOS. After combined with m6A microarray analysis, the results suggested that these proteins might be involved in cell energy metabolism through m6A modifications thus influencing the prognosis of GC patients. Overall, our study revealed that METTL3 involved in cell metabolism through an m6A-dependent mechanism in GC cells, and indicated a potential biomarker for prognostic prediction in GC.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:29:47.442.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Gui Peng
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monomethylated residue
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2022-09-17 02:27:22	ID requested
1	2023-03-10 11:15:15	announced
⏵ 2	2023-11-14 08:29:48	announced	2023-11-14: Updated project metadata.

Peng G, Chen S, Zheng N, Tang Y, Su X, Wang J, Dong R, Wu D, Hu M, Zhao Y, Liu M, Wu H, Integrative proteomics and m6A microarray analyses of the signatures induced by METTL3 reveals prognostically significant in gastric cancer by affecting cellular metabolism. Front Oncol, 12():996329(2022) [pubmed]

submitter keyword: Gastric cancer, oxidative phosphorylation,METTL3, m6A, prognosis

Wu HZ
contact affiliation	Bengbu medical college
contact email	whzhang1025@163.com
lab head
Gui Peng
contact affiliation	Bengbu medical college
contact email	1363105923@qq.com
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD036773
     1. Label: PRIDE project
     2. Name: Identification and evaluation of oxidative phosphorylation-related genes regulated by METTL3 in gastric cancer based on proteomics and m6A methylomes