Metatranscriptome sequencing delivers the whole expression profile by randomly sequencing mRNAs and tracks the dynamics of gene expression patterns in microbial communities over time using next-generation sequencing (NGS). This improves our understanding of the structure, function, and adaptive mechanisms of complex communities.
Applications
- Metatranscriptome sequencing assists in the characterization of functionally active bacteria and community metabolic interaction in microbial ecology research
- Metatranscriptome sequencing contributes towards clinical research by recognizing immune response and triggering autoimmune processes
- Metatranscriptome sequencing provides new opportunities for discovering innovative resources for drug delivery that are not easily accessible today owing to the technical limitations in microbial isolation
- Metatranscriptomics techniques help improve the quality of food and provide data associated with the metabolic behaviors of microbial communities
Benefits
- In profiling transcriptome of a natural communities, without the isolation and cultivation of microbes.
- In identifying novel genes and detecting the changes in complex microbial communities at the transcriptional level.
Specifications: RNA Sample Requirements
| Library Type | Sample Type | Amount | RNA Integrity Number (Agilent 2100) | Purity（NanoDrop) | |
| Meta-transcriptome Library | Total RNA | ≥ 1 μg | ≥ 6.5, smooth base line | A260/280 ≥ 2.0;
A260/230 ≥ 2.0; |
Specifications: Sequencing and Analysis
| Sequencing Platform | Illumina NovaSeq 6000 Sequencing System |
| Read length | Paired-end 150bp |
| Recommended Data Amount | ≥ 20 million read pairs per sample |
| Content of Data Analysis | Data Quality Control
Metatranscriptome Assembly Gene Functional Annotation rRNA& mRNA Taxonomic Analysis Gene expression quantification & Differential expression analysis Enrichment Analysis Functional comparison |
Project Workflow
The first step of the project workflow includes sample quality control (Sample QC) to ensure that your samples meet the criteria of the RNA-Seq technique. Then, the appropriate library is prepared according to your target organism and subsequently tested for its quality (Library QC). Next, a paired-end 150 bp sequencing strategy is used to sequence the samples and the resulting data go quality data control (Data QC) to guarantee the quality of the resulting data. Finally, bioinformatic analyses are performed and publication-ready results are provided. The following flowsheet describes the step-by-step protocol.
