NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE189539 Query DataSets for GSE189539
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
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)
 
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.
Web link https://doi.org/10.1016/j.eng.2023.12.004
 
Contributor(s) Shao X, Wang K, Xu X, Fan X
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Nov 24, 2021
Last update date Jan 27, 2024
Contact name Xin Shao
E-mail(s) xin_shao@zju.edu.cn
Phone 15267040470
Organization name Zhejiang University
Street address #866 Yuhangtang Rd.
City Hangzhou
State/province Zhejiang
ZIP/Postal code 310058
Country China
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (8)
GSM5703380 Con_1
GSM5703381 Con_2
GSM5703382 Con_3
Relations
BioProject PRJNA783345
SRA SRP347734

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE189539_Filtered_gene_counts_matrix.csv.gz 97.6 Mb (ftp)(http) CSV
GSE189539_Raw_gene_counts_matrix.csv.gz 121.1 Mb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap
External link. Please review our privacy policy.