Evaluation of Changes in the Transcriptome of Probiotic Bacteria In Vitro Models

Probiotics are living microorganisms that, when given in sufficient amounts, will bring health benefits to the host. The latest advances in omics tools and sequencing technologies have further deepened our understanding of the function of probiotics and the specific interactions between probiotics and the human host.

Background

Since probiotics can be used not only for treatment but also for prevention, it is important to understand their role under non-pathological challenge conditions to discover their mechanism of action and increase their applications. In the current post-genomic era, gene expression data are good screenshots of probiotics' first exposure to human cells (in vitro). Gene expression may be associated with significant changes in clinical outcomes (in vivo). For this reason, transcriptome analysis of gene expression changes as a predictor of probiotic immunomodulatory effect has been proved to be a powerful tool for studying the molecular interaction between strain and disease.

Method of Transcriptome of Probiotic Bacteria In Vitro Models

Researchers tried to understand the complex dynamics of host microbial crosstalk by using whole-transcriptome analysis of human intestinal epithelial cells exposed to probiotics. The experiment is designed to ferment human cell lines in vitro under various conditions, such as temperature, pH value, NaCl, amino acid, and O2 levels. Samples from these fermentations were analyzed by whole-genome transcriptomics, and physiological characteristics such as maximum growth rate, yield, and organic acid profile were evaluated. Finally, integrating specific fermentation variables with the transcriptome can reconstruct the gene regulatory network involved. This method can identify the transcriptome characteristics based on the physiological variation caused by different fermentation conditions in vitro.

Genomic techniques have been used to characterize the interaction between probiotics and host. Fig.1 Genomic techniques have been used to characterize the interaction between probiotics and host. 1

Evaluation of Changes in the Transcriptome of Probiotic Bacteria Services in Creative Biolabs

With the comprehensive strength of Creative Biolabs' international network in the fields of genome services, drug development, and microbiology, we have established an excellent team of experts and extensive technologies. This unique pattern highlights our approach to providing best practice solutions and common concepts to our clients, including academic institutions and large interdisciplinary operating companies around the world.

Workflow of transcriptome methods. Fig.2 Workflow of transcriptome methods.

In the evaluation of changes in the transcriptome of probiotic, we can provide you with microarray, mRNA sequencing (mRNA-Seq), and quantitative real-time polymerase chain reaction (qRT-PCR) analysis services to perform the most complete transcriptome analysis of your samples. This competitive approach studies and explores potential transcription and regulatory network mechanisms, while providing key insights into interactions and crossover functions from a comprehensive transcriptomics perspective.

Among them, our mRNA-Seq is based on the most advanced technology platform with a paired-end 150 bp sequencing strategy, which can provide:

  • Extensive experience in successfully sequencing thousands of samples.
  • Unparalleled data quality, ensuring Q30 score ≥ 80%.
  • Comprehensive analysis using mainstream software and mature internal pipelines to meet a variety of bioinformatics requirements.

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References

  1. Johnson, Brant R., and Todd R. Klaenhammer. "Impact of genomics on the field of probiotic research: historical perspectives to modern paradigms." Antonie Van Leeuwenhoek 106 (2014): 141-156.
  2. Distributed Under Open Access license CC BY 4.0, without modification.

For Research Use Only. Not intended for use in food manufacturing or medical procedures (diagnostics or therapeutics). Do Not Use in Humans.

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