In one paragraphArticle in Nature communications, 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
13 authors.
Dong-Uk Kim *Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID 0000-0003-3908-8698 Bae-Hyeon Moon *Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID 0000-0002-2602-7389 Young-Jun Kim *Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID 0009-0001-9519-6207 Saerom KweonGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID 0009-0004-0192-7622 Hye Jung ParkDepartment of Internal Medicine, Yonsei University College of Medicine, Yonsei Liver Center, Severance Hospital, Seoul, Republic of Korea.
Jae Geun LeeDepartment of Surgery and the Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-6722-0257 Deok-Gie KimDepartment of Surgery and the Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Republic of Korea.
Eun-Ki MinDepartment of Surgery and the Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Republic of Korea.
Myoung Soo KimDepartment of Surgery and the Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Republic of Korea.
Su-Hyung ParkGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID 0000-0001-6363-7736 Jun Yong ParkDepartment of Internal Medicine, Yonsei University College of Medicine, Yonsei Liver Center, Severance Hospital, Seoul, Republic of Korea. drpjy@yuhs.ac.ORCID 0000-0001-6324-2224 Dong Jin JooDepartment of Surgery and the Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Republic of Korea. djjoo@yuhs.ac.ORCID 0000-0001-8405-1531 Eui-Cheol ShinGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea. ecshin@kaist.ac.kr.ORCID 0000-0002-6308-9503 Funding
Korea Health Industry Development Institute (KHIDI) RS-2025-25460003Ministry of Food and Drug Safety (MFDS) RS-2025-02213409National Research Foundation of Korea (NRF) RS-2024-00439160
6 · The paper itselfAbstract
Human γδ T cells are typically divided into Vγ9Vδ2 and non-Vγ9Vδ2 cells, but their detailed heterogeneity remains to be fully elucidated, especially in the liver where they are enriched. Here we analyze liver sinusoidal γδ T cells from healthy donors, with or without latent human cytomegalovirus (HCMV) infection, by performing single-cell RNA sequencing with antibody-derived tags. Vγ9Vδ2 cells are characterized by PLZF expression, and classified into type 1 and type 3 immunity-associated clusters. In contrast, non-Vγ9Vδ2 cells are characterized by Helios expression, and their clusters display naïve-to-effector differentiation processes, which are accelerated by HCMV infection. Notably, among non-Vγ9Vδ2 cells, we identify a novel liver-resident CD56
Indexed as
CytomegalovirusCytomegalovirus InfectionsLiverReceptors, Antigen, T-Cell, gamma-deltaT-LymphocytesCD56 AntigenHumansInterleukin-15Promyelocytic Leukemia Zinc Finger ProteinSingle-Cell AnalysisVirus LatencyCD56 AntigenInterleukin-15Promyelocytic Leukemia Zinc Finger ProteinReceptors, Antigen, T-Cell, gamma-delta
Identifiers
PMID42811027
PMCPMC13623833
What OpenQuestion holds
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