Multiomics
Bulk
RNA Sequencing
RNA Sequencing (RNA-Seq) is an indispensable tool for transcriptome-wide analysis of differential gene expression and structural analysis of RNAs.
Mirxes Genomics offers an efficient package for stranded RNA-Seq, with rRNA depletion and the synthesis of cDNA libraries from a wide input range of total RNA, allowing for profiling of coding and non-coding RNA while retaining knowledge of transcript orientation. These libraries are then sequenced using DNBSEQ technology, generating high quality data for comprehensive analysis of gene expression, as well as discovery of alternate splicing events, gene fusions and other transcriptomic variations.
Stranded RNA-Seq
Allow determination of transcript orientation
rRNA Depletion
Profile both coding and non-coding RNA
High Quality Data
Q30 score of >85% for PE150 and PE100
Expert Bioinformatics Support
Custom analysis, with guaranteed data security
rRNA depletion
cDNA library preparation
Sequencing
Bioinformatics analysis
| Suggested Sequencing Depths | Sequencing Platform | Turnaround Time |
|---|---|---|
|
Deep gene expression analysis ≥40M reads (≥12Gb) |
DNBSEQ-T7 |
2-4 weeks for T7 from successful sample QC to data delivery |
|
Novel transcripts, alternative splicing analysis ≥100M reads (≥30Gb) |
| Service | Sample Type | Sample Source | Optimal Input Amount | Volume | Concentration | Purity and Quality |
|---|---|---|---|---|---|---|
| RNA-Seq | Total RNA | Fresh frozen tissue, Cell line, Saliva, Blood | ≥ 500ng | ≥ 20μl | ≥ 20ng/μl | OD260/280 = 1.8 - 2.0 OD 260/230 ≥ 2.0 RIN ≥ 6 |
| Total RNA | FFPE | ≥ 500ng | ≥ 20μl | ≥ 20ng/μl | OD260/280 = 1.8 - 2.0 OD 260/230 ≥ 2.0 DV200 > 50% RIN ≥ 2 | |
| RNA-Seq (Directional) | Total RNA | Fresh frozen tissue, Cell line, Saliva, Blood | ≥ 1μg | ≥ 20μl | ≥ 20ng/μl | OD260/280 = 1.8 - 2.0 OD 260/230 ≥ 2.0 RIN ≥ 6 |
| Total RNA | FFPE | ≥ 1μg | ≥ 20μl | ≥ 20ng/μl | OD260/280 = 1.8 - 2.0 OD 260/230 ≥ 2.0 DV200 > 50% RIN ≥ 2 |
- Data Quality Control: Filtering reads with adapter or low-quality sequence data
- Alignment to reference genome
- Summary statistics
- Gene count matrix
- Differential gene expression
- analysis (DEGs)
- GO enrichment analysis of DEGs
- KEGG enrichment analysis of DEGs
- Data Quality Control: Filtering reads with adapter or low-quality sequence data
- Alignment to reference genome
- Summary statistics
- Gene count matrix
- Gene ontology enrichment
- Biomarker prediction
- Full annotations
- Pathway analysis
- Many other options!