● Exosomal total RNA is used as input material. During purification, miRNA Beads are employed to isolate miRNA.
● Bioinformatic analysis centered around miRNA prediction and their targets.
● Comprehensive bioinformatics analysis: Enabling the identification of both known and novel miRNAs, identification of miRNAs targets, and corresponding functional annotation and enrichment with multiple databases (KEGG, GO).
● Rigorous Quality Control: We implement core control points across all stages, from sample and library preparation to sequencing and bioinformatics. This meticulous monitoring ensures the delivery of consistently high-quality results.
● Post-Sales Support: Our commitment extends beyond project completion with a 3-month after-sale service period. During this time, we offer project follow-up, troubleshooting assistance, and Q&A sessions to address any queries related to the results.
Library |
Platform |
Recommended data |
Data QC |
Exosomal miRNA isolation |
Illumina SE50 |
10M-20M reads |
Q30≥85% |
Nucleotides:
Amount (ng) |
Volume (μL) |
40 |
20 |
Tissue:
Exosome: 100 μL; 40 μg; >10^9 particles/ mL
Serum/plasma: 5 mL
Cell culture supernatant: 100 mL
Urine: 100 mL
Saliva: 15 mL
Nasal discharge: 15 mL
Cerebrospinal fluid: 15 mL
Amniotic fluid: 50 mL
Semen: 5 mL
Bile: 5 mL
Ascites: 50 mL
Milk: 15 mL
Follicular fluid: 15 mL
Fecal supernatant: 50 mL
Microbial culture supernatant: 100 mL
Animal tissue: 3 g
Plant tissue: 1 g
Container: 2 mL centrifuge tube (Tin foil is not recommended)
Sample labeling: Group+replicate e.g. A1, A2, A3; B1, B2, B3.
Shipment:
1. Dry-ice: Samples need to be packed in bags and buried in dry-ice.
2. RNAstable tubes: RNA samples can be dried in RNA stabilization tube(e.g. RNAstable®) and shipped in room temperature.
Bioinformatics
● Raw data quality control
● sRNA classification
● Alignment to a reference genome
● Identification of known and novel miRNA
● Differential miRNA expression analysis
● Functional annotation of miRNA targets
Identification of miRNA: structure and depth
Differential expression of miRNA – hiearchical clustering
Functional annotation of target of differentially expressed miRNAs