Systematic evaluation of long- and short-read RNA-seq for human peripheral blood

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Authors: Sadahiro Iwabuchi, Alessandro Nasti, Hikari Okada, Y. Takeshita, Taka-Aki Sato, Takeshi Urabe, Toshinari Takamura, Takuro Tamura, A. Tajima, Kenichi Matsubara, Shuichi Kaneko
Cited by: 3
References: 40

Abstract

RNA sequencing (RNA-seq) technologies enable comprehensive transcriptomic profiling, yet systematic comparisons using identical biological samples remain limited. Here, we performed a multi-faceted comparison of long-read (PacBio) and short-read (Illumina) RNA-seq using the same RNA from peripheral blood cells of four healthy donors. Unlike prior studies that aggregate datasets from different sources, this study evaluates platform-dependent performance across gene expression, transcript variants, fusion genes, primary microRNAs (pri-miRNAs), and immune receptor complementarity-determining region 3 (CDR3) regions using widely available software, highlighting both reproducibility and accessibility. Long-read sequencing outperformed short-read sequencing in detecting complex alternative splicing events, novel transcript isoforms, and full-length immune receptor sequences, particularly immunoglobulin heavy chains, enhancing clonotype resolution. Both platforms captured largely overlapping pri-miRNAs and CDR3 sequences, but each also detected unique elements, demonstrating that total RNA can serve as a proxy for these specialized features when dedicated kits are not used. Short-read sequencing retained superior quantification accuracy for highly expressed genes and stronger concordance with microarray data. Collectively, our findings reveal the complementary strengths of long- and short-read RNA-seq and provide a practical framework for systematic, side-by-side comparison of transcriptomic features, emphasizing the benefits of using the same input material and standard analysis pipelines.

Fields of Study & Subjects

Cancer-related molecular mechanisms research MicroRNA in disease regulation Single-cell and spatial transcriptomics

Publication details

Journal / source
NAR Molecular Medicine
Publisher
Oxford University Press (OUP)
Volume
3
Issue
1
Pages
ugag006–ugag006
Publication date
1 January 2026
Language
EN