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mRNA Sequencing for Differential Gene Expression Analysis

Use mRNA sequencing to:
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Compare gene expression profiles obtained under different conditions
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Study genetic profiles from transcript to pathway level
Overview
Considerations before starting an mRNA Sequencing project:
- Poly(A) enrichment or ribo depletion?
- Sequencing depth (sensitivity)?
- Read length, single- or paired-end seq. (specificity)?
- Replicates (confidence)?
- Model organism or no reference genome available?
- Library complexity?
Let us guide you – from design to analysis
Example projects using mRNA Sequencing:
- Functional protein and pathway studies
- Disease caused gene expression changes
- Loss, gain and rescue of function experiments
- Part of an omics charcterization
- Functional changes due to species interactions
- Discovery of new genes or non coding regulatory RNA
- RNA variant detections
- Drug testing
Applications related to mRNA Sequencing:
- Reference transcriptome generation
- Shotgun metatranscriptomics
- Small RNA sequencing
Workflow
A typical workflow for a mRNA sequencing project is shown in the graphic below. Please note that our highly-modular processes allow you various entry and opting out options. If you outsource your entire NGS project to Microsynth or only parts of it is up to you.
Results
The results produced by our mRNA sequencing analysis module help answer five main questions of an mRNA Seq experiment.
- Are there different patterns of expression in an experiment? (see Figure 1)
- What are the top differentially expressed genes? (see Figure 2)
- What are the detailed statistics of all measured genes? (see Figure 3)
- Which pathways may influence the observed phenotypes? (complementary pathway analysis, see Figure 4)
- Which of the possible alternative transcripts are expressed at the time of the experiment? (complementary alternative splicing analysis, see Figure 5)

Figure 1: This heatmap is based on the expression patterns of the samples and shows their similarity to each other. Thus helping clarify if the conditions used in the experiment lead to different patterns of expression.
Turnaround Time
- Delivery of data within 25 working days upon sample receipt (includes library preparation and sequencing)
- Additional 5 working days for data analysis (bioinformatics)
- Express service possible on request