Aller au contenu principal
Accès ouvert déclaré 2024 article

Single-cell transcriptomic profiling uncovers cellular complexity and microenvironment in gastric tumorigenesis associated with Helicobacter pylori

45Citations signalées, ce qui n’est pas une note de qualité
4Institutions déclarées
2Pays d’affiliation déclarés

Rattachement africain : cn, us. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Graphical summary of cellular heterogeneity and microenvironment along the consecutive gastric carcinogenesis associated with H. pylori. (A) Cellular heterogeneity along the histological cascade of gastric carcinogenesis with or without H. pylori infection. (B) The DEGs between H. pylori −positive and −negative cell types. GS, gastritis; IM, intestinal metaplasia; GC, gastric cancer. • ScRNA-seq data revealed cellular heterogeneity in gastric tumorigenesis. • Enterocytes, was overwhelmingly abundant in gastric intestinal metaplasia lesion. HNF4G was predicted as the specific transcription factor. • ScRNA-seq unveiled the transcriptional features of distinct cell subtypes in GC. • The differentia expressed genes (DEGs) in epithelial, fibroblasts and myeolid cells associated with H. pylori infection have been identified. • H. pylori -positive specimens exhibited enriched cell-cell communication, with significant active TNF signaling network. Helicobacter pylori ( H. pylori ) infection is the main risk for gastric cancer (GC). However, the cellular heterogeneity and underlying molecular mechanisms in H. pylori -driven gastric tumorigenesis are poorly understood. Here, we generated a single-cell atlas of gastric tumorigenesis comprising 18 specimens of gastritis, gastric intestinal metaplasia (IM) and GC with or without H. pylori infection. Single-cell RNA sequencing (scRNA-seq) was performed. Immunofluorescence, immunohistochemistry and qRT-PCR analysis were applied in a second human gastric tissues cohort for validation. Bioinformatics analyses of public TCGA and GEO datasets were applied. Single-cell RNA profile highlights cellular heterogeneity and alterations in tissue ecology throughout the progression of gastric carcinoma. Various cell lineages exhibited unique cancer-associated expression profiles, such as tumor-like epithelial cell subset (EPC), inflammatory cancer-associated fibroblasts (iCAFs) and Tumor-associated macrophage (TAM). Notably, we revealed that the specific epithelial subset enterocytes from the precancerous lesion GIM, exhibited elevated expression of genes related to lipid metabolism, and HNF4G was predicted as its specific transcription factor. Furthermore, we identified differentially expressed genes in H. pylori -positive and negative epithelial cells, fibroblasts and myeloid cells were identified. Futhermore, H. pylori -positive specimens exhibited enriched cell–cell communication, characterized by significantly active TNF, SPP1, and THY1 signaling networks. Our study provides a comprehensive landscape of the gastric carcinogenesis ecosystem and novel insights into the molecular mechanisms of different cell types in H. pylori -induced GC.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Single-cell transcriptomic profiling uncovers cellular complexity and microenvironment in gastric tumorigenesis associated with Helicobacter pylori
Date Crossref
01/08/2025
Éditeur
Elsevier BV
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Single-cell and spatial transcriptomicsImmune cells in cancerHelicobacter pylori-related gastroenterology studies

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.