Dataset Information

Accessible Homeostatic Gastric Organoids Reveal Secondary Cell Type-Specific Host-Pathogen Interactions in Helicobacter Pylori Infections

ABSTRACT: Despite the high prevalence of gastric diseases like gastric cancer and peptic ulcer disease, largely attributed to Helicobacter pylori infections, an understanding of the underlying mechanisms remains limited. Current in vitro models suffer from poor physiological relevance and limitations in live, long-term observations and experimental access. In this study, we introduce a homeostatic human gastric organoid-on-a-chip system with bilateral access, capable of modelling H. pylori niche establishment and persistent colonization of the gastric epithelium.We show that in physiological apical acidic conditions, the model is able to generate mature pit cells, which are absent in traditionally grown organoids. Upon infection with H. pylori for up to 6 days, these mature pit cells exhibit a distinctive response, contrary to existing paradigms. Beyond its immediate relevance for studying H. pylori infection, this model with structurally and functionally increased relevance holds broader significance by providing a versatile platform to advance our understanding of gastric epithelial cell interactions as well as gastric mucosal immunity and host-pathogen interactions.

ORGANISM(S): Homo sapiens

PROVIDER: GSE255276 | GEO | 2024/12/31

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:In this study, a whole-genome CombiMatrix Custom oligonucleotide tiling microarray with 90000 probes covering six sequenced Helicobacter pylori(H. pylori) genomes was designed and utilized for comparative genomic profiling of eight unsequenced strains isolated from patients with different gastroduodenal diseases in Heilongjiang province of China. Since significant genomic variation were found among these strains, an additional 76 H. pylori stains with different clinical outcomes isolated from various provinces of China were further tested by PCR to demonstrate this distinction. We observed several highly variable regions among strains of gastritis, gastric ulceration and gastric cancer. They are involved in genes associated with bacterial type I, type II and type III R-M system as well as in a virB gene neighboring the well studied cag pathogenic island. Previous studies have reported the diverse genetic characterization of this pathogenic island, but it is conserved in the strains tested by microarray in this study. Moreover, a number of genes involved in the type IV secretion system related to DNA horizontal transfer between H. pylori strains were identified based on the comparative analysis of the strain specific genes. These findings may provide new insights for discovering biomarkers for prediction of gastric diseases. Here we describe the design and use of a high-density oligonucleotide microarray covering six sequenced H. pylori genomes as well as several sequenced plasmids. The performance of this microarray is evaluated, and its utility is illustrated for the hybridization of genomic DNA in order to compare eight uncharacterized H. pylori strains which have not been sequenced with the six known, sequenced strains. We utilize this microarray to identify variable genomic region among H. pylori strains isolated from patients with different gastroduodenal diseases in a Chinese patient population. H. pylori isolates from 2 patients with chronic superficial gastritis, 2 patients with atrophic gastritis, 2 patients with gastric ulcer, and 2 patients with gastric cancer were studied. All eight strains were isolated from Heilongjiang province of China. A number of variable regions with high genetic diversity was identified. 26 selected genes were validated by large scale PCR in both microarray tested strains while an additional 76 strains were isolated from eight provinces.

Dataset Information

Accessible Homeostatic Gastric Organoids Reveal Secondary Cell Type-Specific Host-Pathogen Interactions in Helicobacter Pylori Infections

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets