Includes Twist RNA Exome, target enrichment for RNA and whole transcriptome sequencing
Twist Bioscience Corporation (NASDAQ: TWST), a company enabling customers to succeed through its offering of high-quality synthetic DNA using its silicon platform, today announced the launch of a portfolio of RNA sequencing tools, which includes the Twist RNA Exome, Twist RNA Library Prep Kit and the Twist Ribosomal RNA (rRNA) & Hemoglobin (Globin) Depletion Kit, as well as custom target enrichment capabilities for RNA and whole transcriptome sequencing. This comprehensive suite of RNA tools can enable targeted or whole transcriptome research across fields including precision medicine, biomarker discovery and immuno-oncology research.
“Twist’s RNA sequencing portfolio builds on our established NGS capabilities in genomic sequencing and methylation detection and expands into gene expression analysis, opening a new and significant market for Twist,” said Emily M. Leproust, Ph.D., CEO and co-founder of Twist Bioscience. “This offering allows our customers to leverage Twist’s leading target enrichment platform to discover and resolve low abundance RNA transcripts in the human transcriptome. Our RNA sequencing workflows are designed specifically for challenging samples. By enriching relevant transcripts, we can enable researchers to get high-quality data from a range of sample types, including damaged RNA.”
Unlike the genome, which is relatively static, the transcriptome changes over time in response to varying disease states and drug therapies. Gene expression levels also differ across tissues and cell types. To fully understand this dynamic quality of RNA, researchers often sequence RNA samples from the same source at multiple time points, incurring additional costs and resource burdens. Each component of the Twist RNA sequencing portfolio is purpose-built to maximize data quality, minimize workflow inefficiency, decrease wasted sequencing reads, and support comprehensive transcriptomic profiling across even low-quality and low-input samples common in oncology.
The Twist RNA sequencing portfolio provides end-to-end workflows that can be used to study total RNA and measure the whole transcriptome, protein coding sequences of messenger RNA (mRNA) or custom targets. These products can also be integrated into customers’ existing workflows. Twist RNA sequencing tools enable minimal hands-on time and increase the scale of samples sequenced through utilizing automation. They are compatible with a wide range of sample inputs, including difficult or low-quality samples. RNA panel designs can also now incorporate Twist’s new exon-aware design algorithm, which reduces bias in detection and can provide an important tool for researchers studying rare gene transcripts that drive tumor biology.
Twist Targeted RNA Sequencing Workflow
Twist target enrichment for RNA leverages the performance, efficiency and sensitivity of Twist target enrichment for sequencing of RNA transcripts of interest across samples and species. It can be used to enrich relevant transcripts with the RNA Exome or in custom RNA panels.
Twist RNA Exome
The Twist RNA Exome with Twist’s exon-aware design algorithm enables targeted sequencing of the protein coding regions of the human transcriptome without bias toward specific combinations of exons. The Twist RNA Exome covers up to 99.9% of protein coding sequencing in Gencode and RefSeq databases. This coverage, along with the exon-aware design approach, could enable researchers to capture important transcripts including those in low input and degraded samples from formalin fixed paraffin embedded (FFPE) sections.
Twist Whole Transcriptome Sequencing Workflow
Twist Whole Transcriptome Sequencing can be used to discover novel transcripts, including low expressing genes and novel isoforms. It can be used with a variety of samples including whole blood, fresh and frozen tissue samples and low quality samples, such as FFPE samples. The Twist rRNA & Globin Depletion Kit can be used with this workflow to deplete rRNA and hemoglobin targets so that researchers can study the rest of the transcriptome. The full workflow can be completed in less than five hours with minimal hands-on time.
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