Long-Read 101: Nanopore Full-Length Transcriptome Sequencing

Overview

Nanopore full-length transcriptome sequencing is an innovative technique that utilizes Oxford Nanopore Technologies’ (ONT) sequencing platform to obtain comprehensive and uninterrupted high-quality full-length sequences of transcripts. This cutting-edge approach enables researchers to accurately identify various structural variations within transcripts, including alternative splicing, gene fusion, selective polyadenylation of alternative polyadenylation sites (APAs), allele-specific expression, and other alterations in transcript structure. This method accurately quantifies expression levels of both mRNA and polyA+ long non-coding RNA (lncRNA).

Nanopore RNA sequencing. (Workman et al., 2019)

Nanopore Sequencing: Enhancing Transcript Expression Quantification

Nanopore full-length transcriptome sequencing offers numerous advantages, enhancing accuracy in quantifying transcript expression over second-generation methods. The following salient factors underscore the superior accuracy of Nanopore sequencing in transcript expression quantification:

• Full-Length Sequencing Capability: A paramount advantage of Nanopore sequencing lies in its inherent capacity to directly sequence full-length transcripts without the need for fragmentation and subsequent assembly. This eradicates potential splicing errors or incomplete splicing that might occur in second-generation sequencing, thereby ensuring a precise and comprehensive representation of entire transcripts.
• Precise Transcript-Level Quantification: It facilitates meticulous quantification of transcript expression at the individual transcript level. As each read spans the entire length of a transcript, it becomes more straightforward to attribute reads to specific transcripts, leading to more refined and precise transcript-level expression quantification.
• Discrimination of Transcript Isoforms: Genes often give rise to multiple transcript isoforms through alternative splicing or other mechanisms, each potentially serving distinct functions. Nanopore sequencing enables the identification and quantification of different transcript isoforms, empowering researchers to grasp the functional diversity and regulatory aspects of genes.

Learn other: pacbio long read sequencing

Detection of Structural Variants of Nanopore Sequencing

• Full-Length Sequencing: Nanopore sequencing allows for direct, unfragmented sequencing of entire transcripts. This ability enables precise identification of full isoform sequences, including exact transcription start and termination sites locations. Short-read NGS, by comparison, often faces challenges in this regard.
• Transcript Isoform Identification: The technology employed by Nanopore excels in determining exon connectivity with unparalleled precision, enabling the identification of intricate transcripts, involving multiple exon jumps and intronic retention. This high level of detail remains elusive with NGS.
• Accurate Fusion Gene Detection: Nanopore sequencing delivers more reliable fusion gene detection outcomes compared to next-generation sequencing. Its longer read lengths and full-length coverage offer a superior ability to pinpoint fusion events, mitigating the difficulties associated with genomic duplications and multiple comparisons.
• Selective Polyadenylation (APA) Detection: Nanopore sequencing effectively captures poly(A) tails in sequencing results, ensuring the dependable identification of APA events. Conversely, next-generation sequencing techniques often necessitate specialized polyA-seq approaches and supplementary experiments to confirm APA positions, introducing the potential for false positives and incomplete detection.
• Low Multi-Comparison Rate: The extended read lengths and reduced multiplexing rate of Nanopore sequencing contribute to a diminished multi-comparison rate when compared to short-read sequencing. This reduction in inaccuracies and biases improves the quantification of transcript levels and enhances the identification of structural variants.
• It provides full-length transcripts from 5’ to 3’ ends, eliminating interruptions and splicing of individual transcripts. Consequently, this methodology ensures a comprehensive and accurate representation of structural variations at the transcript level.”

Nanopore Sequencing: GC Content and Length Preference

Nanopore full-length transcriptome sequencing showcases distinct proclivities concerning GC content and transcript length preference, in contrast to NGS transcriptome sequencing. These variances carry profound ramifications for the precision and fidelity of gene expression quantification and structural variation analysis. Allow us to explore these disparities in greater depth:

• GC Content Preference

a) Nanopore Full-Length Transcriptome Sequencing: Harnessing the long-read capability, It exhibits a remarkable capacity to provide a more equitable representation of GC content across transcripts. Nanopore long-read datasets show reduced GC bias, enhancing accurate gene expression quantification compared to short-read datasets. Such improvements are particularly pronounced when assessing regions with diverse GC-rich or GC-poor compositions.

b) Next-Generation Transcriptome Sequencing: In contrast, short-read sequencing technologies, typified by conventional next-generation cDNA sequencing, have shown a propensity for GC content preference. This proclivity can induce distortions in the quantification of gene expression, especially in genomic loci characterized by extreme GC content. These biases can hinder accurate identification of differentially expressed genes and transcript isoforms, affecting analysis fidelity.

• Length Preference

a) Nanopore Full-Length Transcriptome Sequencing: Capitalizing on its long-read capabilities, it generates datasets spanning the entirety of transcripts. As a result, the observed length bias in nanopore sequencing data is significantly ameliorated when compared to short-read datasets. This represents a substantial advantage, ensuring a comprehensive and representative coverage of transcripts with varying lengths. The technology thereby enables precise quantification of both short and long transcripts, enhancing the overall fidelity of the transcriptome analysis.

b) NGS: Short-read sequencing technologies inherently contend with a length preference bias. Fragmenting transcripts for short read lengths increases the risk of missing long transcripts or extensive segments. This length bias may result in an incomplete understanding of transcript isoforms, affecting the analysis accuracy, especially with complex exons.