ヒト末梢血のロングリードおよびショートリードRNA-seqの体系的な評価
Sadahiro Iwabuchi1, Alessandro Nasti2, Hikari Okada2
1Department of Bioinformatics and Genomics, Graduate School of Medical Sciences, Kanazawa University, Kanazawa-shi, Ishikawa 920-8640, Japan.
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.
関連する概念動画
RNA-seq
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Uncertainty in Measurement: Reading Instruments
RNA Interference
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
RNA Editing
RNA Stability
Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation


