Evidence map›Paper›PMID 41635783›Full record

ArticleNAR molecular medicine2026

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

Sadahiro Iwabuchi, Alessandro Nasti, Hikari Okada, Yumie Takeshita, Taka-Aki Sato, Takeshi Urabe, Toshinari Takamura, Takuro Tamura, Atsushi Tajima, Kenichi Matsubara and 1 more

Abstract read
In one paragraph

Article in NAR molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Sadahiro IwabuchiDepartment of Bioinformatics and Genomics, Graduate School of Medical Sciences, Kanazawa University, Kanazawa-shi, Ishikawa 920-8640, Japan.ORCID https://orcid.org/0000-0003-0434-3054
Alessandro NastiInformation-Based Medicine Development, Graduate School of Medical Sciences, Kanazawa University, Kanazawa-shi, Ishikawa 920-8640, Japan.ORCID https://orcid.org/0000-0003-2550-2317
Hikari OkadaInformation-Based Medicine Development, Graduate School of Medical Sciences, Kanazawa University, Kanazawa-shi, Ishikawa 920-8640, Japan.ORCID https://orcid.org/0009-0009-7218-9619
Yumie TakeshitaDepartment of Endocrinology and Metabolism, Graduate School of Medical Sciences, Kanazawa University, Kanazawa-shi, Ishikawa 920-8640, Japan.ORCID https://orcid.org/0000-0002-0475-1931
Taka-Aki SatoiLAC Co., Ltd, Tsukuba-shi, Ibaraki 305-8550, Japan.
Takeshi UrabeDepartment of Gastroenterology, Public Central Hospital of Matto, Hakusan-shi, Ishikawa 924-8588, Japan.
Toshinari TakamuraDepartment of Endocrinology and Metabolism, Graduate School of Medical Sciences, Kanazawa University, Kanazawa-shi, Ishikawa 920-8640, Japan.ORCID https://orcid.org/0000-0002-4393-3244
Takuro TamuraResearch and Development Center for Precision Medicine, University of Tsukuba, Tsukuba-shi, Ibaraki 305-8550, Japan.
Atsushi TajimaDepartment of Bioinformatics and Genomics, Graduate School of Medical Sciences, Kanazawa University, Kanazawa-shi, Ishikawa 920-8640, Japan.ORCID https://orcid.org/0000-0001-6808-5491
Kenichi MatsubaraiLAC Co., Ltd, Tsukuba-shi, Ibaraki 305-8550, Japan.
Shuichi KanekoInformation-Based Medicine Development, Graduate School of Medical Sciences, Kanazawa University, Kanazawa-shi, Ishikawa 920-8640, Japan.ORCID https://orcid.org/0000-0001-7113-3319

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID41635783
PMCPMC12862385

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.