Evidence map›Paper›PMID 42337162›Full record

ArticleCommunications biology2026

Single-cell catalogue of immune cells from Japanese individuals.

Yukie Kashima, Kenichi Makishima, Genta Fujii, Masahide Seki, Yuuta Kuze, Patrick Reteng, Mamiko Sakata-Yanagimoto, Yutaka Suzuki

Abstract read
PubMed Publisher
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yukie Kashima *Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.ORCID http://orcid.org/0009-0005-9819-9146
Kenichi Makishima *Department of Hematology, University of Tsukuba Hospital, Tsukuba, Japan.
Genta Fujii *Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Masahide SekiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.ORCID http://orcid.org/0000-0001-6091-8698
Yuuta KuzeDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Patrick RetengDivision of Collaboration and Education, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Hokkaido, Japan.
Mamiko Sakata-YanagimotoDepartment of Hematology, University of Tsukuba Hospital, Tsukuba, Japan. sakatama@md.tsukuba.ac.jp.ORCID http://orcid.org/0000-0001-7310-8045
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan. ysuzuki@edu.k.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0003-4852-1879

Funding

Japan Agency for Medical Research and Development (AMED) JP23jf0126003MEXT | Japan Science and Technology Agency (JST) JST Moonshot R&D program (JPMJMS2025)MEXT | Japan Society for the Promotion of Science (JSPS) 22H04925 (PAGS)MEXT | Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Early-Career Scientists (JP25K18811)
6 · The paper itself

Abstract

Gene expression in immune cells varies greatly among healthy individuals and may be influenced by the genetic background, age and other factors. However, the molecular mechanisms underlying immune diversity at the single-cell level are not well understood. Here, we generate a single-cell multi-omics dataset of peripheral blood from 105 Japanese individuals. We focus on age-related changes in cellular populations and gene expression levels. In our dataset, age-associated population changes are most pronounced in naïve T cells, memory B cells, and CD56

Indexed as

B-LymphocytesKiller Cells, NaturalSingle-Cell Gene Expression AnalysisT-LymphocytesAdultAgedAged, 80 and overEast Asian PeopleHumansJapanMiddle AgedMultiomicsTranscriptomeYoung Adult

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.