Sequencing ServicesMetatranscriptomics Sequencing

The (meta)transcriptome constitutes the genes expressed by microbes within any given sample. The study of this through the sequencing and analysis of RNA can give insight into how the microbiome or isolated bacteria behaves under conditions of interest, gaining a deeper understanding of the gene expression and associated functional outcomes.

Given the flexibility afforded by many sample collection kits today, microbiome scientists are becoming increasingly interested in the functional activity of the microbiome under different conditions, disease states, time points and other cohort variations to identify links between microbial functions and a phenotype of interest.

Through optimized RNA-based workflows for a range of different sample types, CosmosID offers (meta)transcriptomic services for both complex samples and microbial isolates for a range of study applications.

The advantages are:

• Direct study of gene expression not simply genetic content
• Untargeted profiling for a laundry list of expressed genes
• Identification of active metabolic pathways
• Combined metagenomic-metatranscriptomics for assessment of microbial activity
• Discover mechanisms behind observed gene expressions

CosmosID’s CLIA-certified, GCP compliant facility accepts samples globally. Regardless of the research area, the lab procedures followed are under the same level of scrutiny, ensuring quality and reproducability for all study types. Upon arrival, your samples will first be barcoded & accessioned into the CosmosID LIMS system for sample tracking and effective project management.

Samples will undergo a validated RNA extraction protocol optimized for shotgun sequencing and customised per sample type. The extracted RNA will undergo an rRNA depletion, where then double-stranded cDNA is then synthesised, ready for sequencing!

Very similarly to metagenomic functional profiling, at CosmosID we query databases such as UniProt to identify functional proteins that have been well annotated. From there, these hits are annotated with MetaCyc reactions (metabolic enzymes) to reconstruct and quantify complete pathways in the microbial community sample. Furthermore, the UniProt gene families are mapped to GO terms. Lastly, to facilitate comparisons across multiple samples with different sequencing depths, the abundance values are normalized using Total-sum scaling (TSS) normalization to produce “Copies per million” (analogous to TPMs in RNA-Seq) units.

Finally, you will have a laundry list of expressed genes within your samples that can be used in downstream analyses such as differential abundance, beta diversity and more! For interest in downstream analysis and statistics or cutom bioinformatics, please enquire below.

For a more comprehensive view on functional potential, metatranscriptomics is a robust method of identifying candidate genes and associating these with traits of interest.

Common applications include but are not limited to:

• Discovery research in human health and disease
• Clinical sample analysis in pharmaceutical and nutritional studies
• Agricultural and environmental research
• Mechanism of Action studies: pre-clinical and clinical
• Probiotic/LBP discovery & characterization

By leveraging metatranscriptomics, we can delve into the complexities of the microbial community by enabling us to understand the expressed functional potential of the microbiome.

Offering a different perspective into microbiome sciences, metatranscriptomics helps facilitate more focused research into the microbiome’s functional capacity within samples, When paired with CosmosID’s state-of-the-art software platforms, which enhances the accessibility and usability of this approach, researchers generate a wealth of data around the gene expressions of organisms.

Metatranscriptomics is a powerful solution that can elucidate the connections within microbial functions, diseases and medical diagnosis, treatment production, environmental conditions, and different physiological states through analysis of the community RNA within a sample. It can help us understand the mechanisms behind observed gene expressions, and guide us to new discoveries in the field of microbiome..