ArticleBMC genomics2026
Transcriptomics-based analysis to explore the effects of culture media and cell models on the function of B. pseudocatenulatum strains of intestinal origin.
Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Comprehensive analysis of synonymous codon usage bias and evolutionary dynamics in the chloroplast genomes of eight Coptis species.Functional & integrative genomics · 2026Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundThe gut microbiota plays a pivotal role in maintaining host health by modulating metabolic pathways and immune functions. Although its biological significance is well recognized, systematic research into the functional characterization of intestinal bacteria remains scarce, particularly concerning the impact of culture environments and host cell model selection on functional assessment. This study focused on a strain of Bifidobacterium pseudocatenulatum isolated from the feces of healthy individuals. The objective was to investigate the regulatory effects of its metabolites, produced under different medium conditions, on gene expression across multiple host cell models.
resultsMetabolomic analysis revealed that the choice of culture medium (BHI vs. GAM) significantly reshaped the metabolic profiles of B. pseudocatenulatum. Transcriptomic data demonstrated that metabolites induced by different media led to markedly distinct gene expression patterns within the same host cell line. Furthermore, even under identical metabolite exposure conditions, the four cell models (MODE-K, NCM460, Henle-407, and HEK-293T) exhibited highly divergent and cell-line-specific regulatory responses.
conclusionsThese findings highlight the decisive influence of both medium composition and cell model selection on the outcomes of functional studies concerning gut commensal bacteria. This research not only provides a scientific basis for optimizing experimental designs in microbial functional studies but also underscores the necessity of rigorously evaluating culture conditions and model suitability in microbiota research.
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