Metatranscriptomic Sequencing

Metatranscriptomic Sequencing is the culture-independent profiling (including protein-coding and non coding DNA) of microbial community-wide gene expression, which is capable of monitoring RNA based regulation and expressed biological signatures of complex bacterial communities in a given sample at a given moment and under specific conditions.

It elucidates three aspects of a microbial community, including gene activity diversity, gene expression abundance, and differential gene expression analysis.

The gene expression analysis can tell which genes exhibit the highest change in expression levels in different conditions  potentially to identify biomarkers and expression signatues.

For more information and quotation, kindly contact us at NGS@biobasic-asia.com

Bioinformatics Analysis

  • Data Quality Control
  • Statistics analysis of data production and quality
  • De novoassembly
  • Gene functional annotation
  • rRNA & mRNA taxonomic analysis
  • Gene expression analysis
  • Differential expression analysis
  • GO enrichment analysis of differentially expressed genes (DEGs)
  • KEGG pathway enrichment analysis of differentially expressed genes(DEGs)
  • Comparative analysis between various samples
(More analysis upon request)

Image Source: Bikel, S., Valdez-Lara, A., Cornejo-Granados, F., Rico, K., Canizales-Quinteros, S., Soberón, X., Del Pozo-Yauner, L., & Ochoa-Leyva, A. (2015). Combining metagenomics, metatranscriptomics and viromics to explore novel microbial interactions: towards a systems-level understanding of human microbiome. Computational and structural biotechnology journal, 13, 390–401. https://doi.org/10.1016/j.csbj.2015.06.001

Advantages

  • A culture-free method to reveal the true extent of microbial diversity
  • Permitting function-based activity screens
  • More targeted than shotgun random sequencing
  • Cost-effective
  • Time-efficient


Image Source: Bikel, S., Valdez-Lara, A., Cornejo-Granados, F., Rico, K., Canizales-Quinteros, S., Soberón, X., Del Pozo-Yauner, L., & Ochoa-Leyva, A. (2015). Combining metagenomics, metatranscriptomics and viromics to explore novel microbial interactions: towards a systems-level understanding of human microbiome. Computational and structural biotechnology journal, 13, 390–401. https://doi.org/10.1016/j.csbj.2015.06.001

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