Metabolomics,Multiomics

Dataset Information

0

A microfluidics-based in vitro model of the gastrointestinal human-microbe interface


ABSTRACT: Changes in the human gastrointestinal microbiome are associated with several diseases. To infer causality, experiments in representative models are essential, but widely used animal models exhibit limitations. Here we present a modular, microfluidics-based model (HuMiX, human–microbial crosstalk), which allows co-culture of human and microbial cells under conditions representative of the gastrointestinal human–microbe interface. We demonstrate the ability of HuMiX to recapitulate in vivo transcriptional, metabolic and immunological responses in human intestinal epithelial cells following their co-culture with the commensal Lactobacillus rhamnosus GG (LGG) grown under anaerobic conditions. In addition, we show that the co-culture of human epithelial cells with the obligate anaerobe Bacteroides caccae and LGG results in a transcriptional response, which is distinct from that of a co-culture solely comprising LGG. HuMiX facilitates investigations of host–microbe molecular interactions and provides insights into a range of fundamental research questions linking the gastrointestinal microbiome to human health and disease.

OTHER RELATED OMICS DATASETS IN: PXD013655PRJNA315665

INSTRUMENT(S): 5975C Series GC/MSD (Agilent)

SUBMITTER: Christian Jaeger 

PROVIDER: MTBLS328 | MetaboLights | 2017-07-28

REPOSITORIES: MetaboLights

altmetric image

Publications


Changes in the human gastrointestinal microbiome are associated with several diseases. To infer causality, experiments in representative models are essential, but widely used animal models exhibit limitations. Here we present a modular, microfluidics-based model (HuMiX, human-microbial crosstalk), which allows co-culture of human and microbial cells under conditions representative of the gastrointestinal human-microbe interface. We demonstrate the ability of HuMiX to recapitulate in vivo transcr  ...[more]

Similar Datasets

2009-07-18 | E-GEOD-12121 | biostudies-arrayexpress
2016-05-05 | GSE79383 | GEO
2019-02-12 | E-MTAB-7072 | biostudies-arrayexpress
2022-10-03 | E-MTAB-11847 | biostudies-arrayexpress
2020-05-23 | GSE127938 | GEO
2023-07-20 | PXD040280 | Pride
2014-10-24 | E-GEOD-60874 | biostudies-arrayexpress
2013-06-15 | E-GEOD-43919 | biostudies-arrayexpress
2015-09-26 | GSE51201 | GEO
2013-09-05 | GSE50601 | GEO