1. Profile microRNA in any species – there is no need for probes based on prior sequence or secondary structure information.
  2. Profiling is transcriptome-wide – investigate all microRNAs, of any size, known and unknown, in your sample.
  3. Achieve digital transcript expression analysis – Accurate quantitation of expression levels over 5 orders of magnitude of transcript abundance.
  4. Detect rare transcripts and transcript variants, such as single nucleotide mutations (SNP).

LC Sciences provides a microRNA discovery service using the Illumina high-throughput sequencing technology which enables comprehensive coverage, highly sensitive and specific discovery and profiling of all forms of microRNAs in your sample.

This service is comprehensive – from sample to data, providing advanced technology and years of experience in efficient discovery and profiling of microRNAs.

Our “Total RNA to Data” comprehensive service includes: sample QC, sample preparation (small RNA selection,  library preparation, single molecule clonal amplification), high-throughput sequencing, bioinformatics analysis, and customer data report.

Down-stream profiling of identified (and other customer defined target microRNAs) is also available by custom microarray analysis service.

  • Illumina base-calling and analysis
  • Raw sequencing data – 50bp single-end reads – either FASTA-A or FASTA-Q files with base-calling quality scores
  • LC Sciences analysis and quality filtering. Processed data is reduced to mappable reads.
  • Custom construction of reference database(s) – miRBase, genome, etc and mapping of all quality reads
  • Alignment, classification, & functional annotation of all mapped reads
  • Prediction of possible novel miRs
  • Biostatistical analysis – expression analysis, multi-parameter data analysis, length distribution, transcript copy number comparisons, etc. (biological replicates required – see Technical Note – Biological Replicate Considerations – Differential Expression Analysis)
  • Conservation profile of the identified miRNAs analysis

  • Pre-miRNA clusters
  • miRNA target prediction (optional)
  • miRNA target GO and KEGG enrichment analysis (optional)
  • Customer data report – includes a summary of methods and all statistic analysis

Sample Data