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Status |
Public on Dec 16, 2021 |
Title |
A single-cell landscape of human liver transplantation reveals a pathogenic immune niche associated with early allograft dysfunction |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Liver transplantation (LT) is the standard therapy for individuals afflicted with end-stage liver disease. Despite notable advancements in LT technology during recent decades, the incidence of early allograft dysfunction (EAD) remains a critical concern, exacerbating the current organ shortage and detrimentally affecting the prognosis of recipients. Unfortunately, the perplexing hepatic heterogeneity has impeded our comprehension of the cellular traits and molecular events that contribute to EAD. Herein, we constructed the pioneering single-cell transcriptomic landscape of human transplanted livers derived from non-EAD and EAD patients, with 12 liver samples from 7 donors collected at the stages of cold perfusion and portal reperfusion. By comparing 75,231 cells of non-EAD and EAD patients, we identified an EAD-associated immune niche comprising MAIT, GZMB+ GZMK+ NK cells, and S100A12+ neutrophils, which were significantly elevated in EAD patients. Moreover, we verified this immune niche and its association with EAD occurrence in two independent cohorts. Our findings clarified the cellular characteristics of transplanted livers and the EAD-associated pathogenic immune niche at the single-cell level, offering valuable insights into the EAD onset. The updated data see FigShare (https://figshare.com/articles/dataset/24521662)
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Overall design |
The complete database comprised the single-cell gene expression for samples taken from four patients, wherein liver grafts berfore LT (Con) were sampled after cold perfusion and liver grafts after LT (IR) were sampled affer 2h portal reperfusion. Four donors were from the healthy after brain death. RNA was extracted from the 8 samples and analyzed using 10X Genomics and Illumina sequencing technology.
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Web link |
https://doi.org/10.1016/j.eng.2023.12.004
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Contributor(s) |
Shao X, Wang K, Xu X, Fan X |
Citation missing |
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Submission date |
Nov 24, 2021 |
Last update date |
Jan 27, 2024 |
Contact name |
Xin Shao |
E-mail(s) |
xin_shao@zju.edu.cn
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Phone |
15267040470
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Organization name |
Zhejiang University
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Street address |
#866 Yuhangtang Rd.
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City |
Hangzhou |
State/province |
Zhejiang |
ZIP/Postal code |
310058 |
Country |
China |
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Platforms (1) |
GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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Samples (8)
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Relations |
BioProject |
PRJNA783345 |
SRA |
SRP347734 |