June 1, 2021  |  

Scalability and reliability improvements to the Iso-Seq analysis pipeline enables higher throughput sequencing of full-length cancer transcripts

The characterization of gene expression profiles via transcriptome sequencing has proven to be an important tool for characterizing how genomic rearrangements in cancer affect the biological pathways involved in cancer progression and treatment response. More recently, better resolution of transcript isoforms has shown that this additional level of information may be useful in stratifying patients into cancer subtypes with different outcomes and responses to treatment.1 The Iso-Seq protocol developed at PacBio is uniquely able to deliver full-length, high-quality cDNA sequences, allowing the unambiguous determination of splice variants, identifying potential biomarkers and yielding new insights into gene fusion events. Recent improvements to the Iso-Seq bioinformatics pipeline increases the speed and scalability of data analysis while boosting the reliability of isoform detection and cross-platform usability. Here we report evaluation of Sequel Iso-Seq runs of human UHRR samples with spiked-in synthetic RNA controls and show that the new pipeline is more CPU efficient and recovers more human and synthetic isoforms while reducing the number of false positives. We also share the results of sequencing the well-characterized HCC-1954 breast cancer and normal breast cell lines, which will be made publicly available. Combined with the recent simplification of the Iso-Seq sample preparation2, the new analysis pipeline completes a streamlined workflow for revealing the most comprehensive picture of transcriptomes at the throughput needed to characterize cancer samples.


June 1, 2021  |  

Library prep and bioinformatics improvements for full-length transcript sequencing on the PacBio Sequel System

The PacBio Iso-Seq method produces high-quality, full-length transcripts of up to 10 kb and longer and has been used to annotate many important plant and animal genomes. Here we describe an improved, simplified library workflow and analysis pipeline that reduces library preparation time, RNA input, and cost. The Iso-Seq V2 Express workflow is a one day protocol that requires only ~300 ng of total RNA input while also reducing the number of reverse transcription and amplification steps down to single reactions. Compared with the previous workflow, the Iso-Seq V2 Express workflow increases the percentage of full-length (FL) reads while achieving a higher average transcript length. At the same time, the Iso-Seq 3 analysis recently released in the SMRT Link 6.0 software is a major improvement over previous versions. Iso-Seq 3 is highly accurate at detecting and removing library artifacts (TSO and RT artifacts) as well as differentiating barcodes on multiplexed samples. Iso-Seq 3 achieves the same output performance in high-quality transcript sequences compared to previous versions while reducing the runtime and memory usage dramatically.


June 1, 2021  |  

Single cell isoform sequencing (scIso-Seq) identifies novel full-length mRNAs and cell type-specific expression

Single cell RNA-seq (scRNA-seq) is an emerging field for characterizing cell heterogeneity in complex tissues. However, most scRNA-seq methodologies are limited to gene count information due to short read lengths. Here, we combine the microfluidics scRNA-seq technique, Drop-Seq, with PacBio Single Molecule, Real-Time (SMRT) Sequencing to generate full-length transcript isoforms that can be confidently assigned to individual cells. We generated single cell Iso-Seq (scIso-Seq) libraries for chimp and human cerebral organoid samples on the Dolomite Nadia platform and sequenced each library with two SMRT Cells 8M on the PacBio Sequel II System. We developed a bioinformatics pipeline to identify, classify, and filter full-length isoforms at the single-cell level. We show that scIso-Seq reveals full-length isoform information not accessible using short reads that can reveal differences between cell types and amongst different species.


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