Single-cell RNA-Seq can be used to examine the expression of individual cells and provides a higher resolution of cellular differences as compared to traditional RNA-Seq. Single-cell RNA-Seq enables us to understand the function of an individual cell in the context of its microenvironment.
LC Sciences provides a one-stop solution (i.e. from sample to data) for Single-cell RNA-Seq using the latest in rna sequencing technology. The RNA-Seq services provided by LC Sciences are comprehensive and provide the most complete picture of RNA content in your samples. We can help you set up and conduct a high-quality, well-controlled RNA-Seq experiment based on the latest deep-sequencing technologies.
- Start with as little as 10 pg–10 ng of total RNA
- Library preparation – poly(A) tail selection method
- Illumina Hi-Seq 2000 – 2 x 100bp paired-end sequencing run
- Advanced bioinformatics package
Our Comprehensive Service
LC Sciences provides a transcriptome profiling service using the Illumina high-throughput sequencing technology which enables comprehensive coverage, highly sensitive and specific discovery and profiling of all forms of RNAs in your sample.
This service is comprehensive – from sample to data, providing advanced technology and years of experience in efficient discovery and profiling of RNAs.
Our comprehensive profiling service includes:
- Sample QC
- Sample preparation (reverse transcriptase template switching)
- Library preparation (single molecule clonal amplification)
- High-throughput sequencing (RNA-Seq method, Illumina Next-Gen sequencing technology)
- Bioinformatics analysis
- Customer data report
Data Analysis Includes:
|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 quality filtered data reduced to mappable reads, a list of unique sequences and their copy numbers|
|Genomic mapping of quality sequencing reads|
|Test for differential expression at gene level and transcript level. (biological replicates required – see Technical Note – Biological Replicate Considerations – Differential Expression Analysis)|
|GO and KEGG annotation and enrichment analysis.|
|Customer data report – includes a summary of methods and all statistic analysis|