Evidence map›Paper›PMID 38806455›Full record

ArticleNature communications2024

Long-read sequencing for 29 immune cell subsets reveals disease-linked isoforms.

Jun Inamo, Akari Suzuki, Mahoko Takahashi Ueda, Kensuke Yamaguchi, Hiroshi Nishida, Katsuya Suzuki, Yuko Kaneko, Tsutomu Takeuchi, Hiroaki Hatano, Kazuyoshi Ishigaki and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Alternative Splicing Regulation in Metabolic Disorders.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  18. Article
  19. Article
  20. 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

13 authors.

Jun InamoDepartment of Genomic Function and Diversity, Medical Research Institute, Tokyo Medical and Dental University (TMDU), Tokyo, 113-8510, Japan.ORCID http://orcid.org/0000-0002-9927-7936
Akari SuzukiLaboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Mahoko Takahashi UedaDepartment of Genomic Function and Diversity, Medical Research Institute, Tokyo Medical and Dental University (TMDU), Tokyo, 113-8510, Japan.ORCID http://orcid.org/0000-0002-3960-0922
Kensuke YamaguchiDepartment of Genomic Function and Diversity, Medical Research Institute, Tokyo Medical and Dental University (TMDU), Tokyo, 113-8510, Japan.
Hiroshi NishidaDepartment of Molecular Systems Bioanalysis, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto, 606-8501, Japan.ORCID http://orcid.org/0000-0001-8833-1901
Katsuya SuzukiDivision of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, 160-8582, Japan.
Yuko KanekoDivision of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, 160-8582, Japan.
Tsutomu TakeuchiDivision of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, 160-8582, Japan.ORCID http://orcid.org/0000-0003-1111-8218
Hiroaki HatanoLaboratory for Human Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Kazuyoshi IshigakiLaboratory for Human Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.ORCID http://orcid.org/0000-0003-2881-0657
Yasushi IshihamaDepartment of Molecular Systems Bioanalysis, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto, 606-8501, Japan.ORCID http://orcid.org/0000-0001-7714-203X
Kazuhiko YamamotoLaboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Yuta KochiDepartment of Genomic Function and Diversity, Medical Research Institute, Tokyo Medical and Dental University (TMDU), Tokyo, 113-8510, Japan. y-kochi.gfd@mri.tmd.ac.jp.ORCID http://orcid.org/0000-0002-8012-5078

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 18H02849
6 · The paper itself

Abstract

Alternative splicing events are a major causal mechanism for complex traits, but they have been understudied due to the limitation of short-read sequencing. Here, we generate a full-length isoform annotation of human immune cells from an individual by long-read sequencing for 29 cell subsets. This contains a number of unannotated transcripts and isoforms such as a read-through transcript of TOMM40-APOE in the Alzheimer's disease locus. We profile characteristics of isoforms and show that repetitive elements significantly explain the diversity of unannotated isoforms, providing insight into the human genome evolution. In addition, some of the isoforms are expressed in a cell-type specific manner, whose alternative 3'-UTRs usage contributes to their specificity. Further, we identify disease-associated isoforms by isoform switch analysis and by integration of several quantitative trait loci analyses with genome-wide association study data. Our findings will promote the elucidation of the mechanism of complex diseases via alternative splicing.

Indexed as

Alternative SplicingGenome-Wide Association StudyProtein IsoformsQuantitative Trait Loci3' Untranslated RegionsAlzheimer DiseaseGenome, HumanHumansMitochondrial Precursor Protein Import Complex Proteins3' Untranslated RegionsMitochondrial Precursor Protein Import Complex ProteinsProtein Isoforms

Identifiers

PMID38806455
PMCPMC11133395

What OpenQuestion holds

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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.