Whole Transcriptome Sequencing
Our Whole Transcriptome Sequencing products offer a range of solutions tailored to your study's needs. Each product has been optimized to yield the highest quality, most reliable results for its given applications, from differential expression analysis to the discovery and identification of mutations and fusion transcripts, even in FFPE tissue.
Stranded, Long-Insert Whole Transcriptome Get a Quote
- Strand specific sample prep
- Long Insert (~550bp)
- 50 Million Reads
- 250ng RNA input
Strand Specific, Long Insert Whole Transcriptome Sequencing is broadly useful for a range of analyses including differential expression, allele specific mutation detection, and discovery and identification of fusion transcripts and splice junctions. The product combines poly-A selection of mRNA transcripts with a strand-specific cDNA library preparation, resulting in fragments with a mean length of 550bp. Libraries are sequenced on the HiSeq 2500 platform to a minimum depth of 50 million aligned reads.
Transcriptome Capture Get a Quote
- FFPE compatible
- Strand specific
- Hybridization-based mRNA selection
Transcriptome capture is a viable option for generating transcript expression data from RNA derived from potentially degraded samples, including FFPE tissue. The approach first prepares a stranded cDNA library from isolated RNA, then hybridizes the library to a set of DNA oligonucleotide probes to enrich the library for mRNA transcript fragments.
Exome Sequences Completed in 2015
Transcriptome Capture is an alternative to traditional transcript enrichment methods (including polyA selection and ribosomal depletion) that is optimal for low-input and degraded samples including formalin fixed paraffin embedded (FFPE) tissues
Whole Transcriptome Sequencing has become an invaluable tool for performing fundamental research surrounding transcript discovery, genome annotation and expression profiling. Working closely with scientists within and outside the Broad Institute, the Genomics Platform has performed a thorough evaluation of available technologies and optimized processing conditions to provide the highest quality whole transcriptome sequencing products possible.
RNA sequencing has the potential for broad reaching applications in clinical research and clinical diagnostics. Approaches to the generation and analysis of RNA sequencing data has numerous potential endpoints including, but not limited to, the detection of variants, gene fusions, alternative splicing, and expression profiling.