Capture full-length transcripts with no assembly required
The Iso-Seq method employs highly accurate long reads (HiFi reads) to survey transcript diversity, either broadly or in a targeted fashion, providing high-quality genome annotation and gene discovery power.
- Discover novel genes and informs even in well-characterized model organisms
- Characterize alternative start and polyadenylation sites as well as exon skipping events
- Create a reference transcriptome for better RNA-Seq quantification at isoform-level resolution
Workflow: from RNA to full-length transcripts
Sample + library preparation
Prepare full-length transcripts with flexible sample and library workflows.
- Use the SMRTbell prep kit 3.0 to prepare libraries in one day
- Follow the Iso-Seq library protocol using SMRTbell prep kit 3.0
Sequencing
Simplify sample prep workflow and reduce project costs by using the Sequel II and IIe systems. Generate up to 4 million full-length reads per SMRT Cell 8M*
* Read lengths, number of reads, data per SMRT Cell, and other sequencing performance results vary based on sample quality/type and insert size, among other factors.
Data analysis
Output high-quality, full-length transcript sequences; no assembly required.
- Generate highly accurate long reads (HiFi reads) to characterize whole transcriptomes
- Dataset: Universal Human Reference RNA (UHRR)
- Dataset: Alzheimer Brain
- Use the Iso-Seq analysis in SMRT Link to output high-quality, full-length transcript FASTA sequences, with no assembly required, to characterize transcripts and splice variants
- Run Iso-Seq analysis with or without a reference genome. Follow up with community tools for different analyses such as SQANTI3 (transcript classification), tappAS (differential expression analysis), and TAMA (annotation).
Application brief
Long-read RNA sequencing
Learn more about these best practices for long-read RNA sequencing
Spotlight
ISO-SEQ ANALYSIS PROVIDES INSIGHTS INTO FEATS OF PHYSIOLOGY OF HIBERNATING BEARS
Washington State University researchers use Iso-Seq analysis to shed light on the metabolic mystery of brown bears.