Evidence map›Paper›PMID 41444247›Full record

ArticleScientific data2025

ScRNA profiling of peripheral blood in kidney transplant recipients across rejection responses and treatments.

Dan Wu, Jia You, Hongxia Liu, Kaile Zheng, Yan Zhu, Na Zeng, Hong Sun, Xuebin Wang

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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.

Dan WuCenter for Medical Bioinformatics, Shanghai Engineering Research Center for Big Data in Pediatric Precision Medicine, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, Shanghai, China.
Jia YouDepartment of Pharmacy, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.
Hongxia LiuDepartment of Pharmacy, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, Shanghai, China.
Kaile ZhengDepartment of Pharmacy, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.
Yan ZhuDepartment of Pharmacy, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, Shanghai, China.
Na ZengDepartment of Pharmacy, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, Shanghai, China.
Hong SunCenter for Medical Bioinformatics, Shanghai Engineering Research Center for Big Data in Pediatric Precision Medicine, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, Shanghai, China. shpolor@163.com.
Xuebin WangDepartment of Pharmacy, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, Shanghai, China. binxuewang@sjtu.edu.cn.

Funding

National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 82173900Shanghai Hospital Development Center (SHDC) SHDC2020CR4072
6 · The paper itself

Abstract

Studies have reported diverse functions of immune cells in response against the transplanted kidney, highlighting their significant roles in immunosuppressive response. Peripheral blood analyses showed differences in immune cell composition between kidney transplant recipients and healthy donors, however, the differences in peripheral blood immune landscape between patients with different rejection types and treatment phases remain unclear. Here, we present a single-cell RNA sequencing (scRNA-seq) dataset of peripheral blood cells derived from five participants after kidney transplantation. The dataset comprises 98,595 quality-control passed cells along with clinical metadata, enabling a comparative analysis of immune cell populations before and after immunosuppression treatment as well as between different rejection types. We preliminarily identified major cell types including immune and non-immune cells, and further annotated the immune cell subsets. This transcriptomic data will serve as a resource to explore new cellular biomarkers and microenvironmental changes in peripheral blood of kidney recipients with different reaction types, and to deepen our insights into the role of immunosuppression treatment on graft rejection.

Indexed as

Graft RejectionKidney TransplantationHumansImmunosuppression TherapyImmunosuppressive AgentsRNA-SeqSingle-Cell AnalysisTranscriptomeTransplant RecipientsImmunosuppressive Agents

Identifiers

PMID41444247
PMCPMC12873424

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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.