HCA Data Explorer

Harnessing Expressed Single Nucleotide Variation and Single Cell RNA Sequencing To Define Immune Cell Chimerism in the Rejecting Kidney Transplant

Updated October 23, 2023

BackgroundIn solid organ transplantation, donor-derived immune cells are assumed to decline with time after surgery. Whether donor leukocytes persist within kidney transplants or play any role in rejection is unknown, however, in part because of limited techniques for distinguishing recipient from donor cells.MethodsWhole-exome sequencing of donor and recipient DNA and single-cell RNA sequencing (scRNA-seq) of five human kidney transplant biopsy cores distinguished immune cell contributions from both participants. DNA-sequence comparisons used single nucleotide variants (SNVs) identified in the exome sequences across all samples.ResultsAnalysis of expressed SNVs in the scRNA-seq data set distinguished recipient versus donor origin for all 81,139 cells examined. The leukocyte donor/recipient ratio varied with rejection status for macrophages and with time post-transplant for lymphocytes. Recipient macrophages displayed inflammatory activation whereas donor macrophages demonstrated antigen presentation and complement signaling. Recipient-origin T cells expressed cytotoxic and proinflammatory genes consistent with an effector cell phenotype, whereas donor-origin T cells appeared quiescent, expressing oxidative phosphorylation genes. Finally, both donor and recipient T cell clones within the rejecting kidney suggested lymphoid aggregation. The results indicate that donor-origin macrophages and T cells have distinct transcriptional profiles compared with their recipient counterparts, and that donor macrophages can persist for years post-transplantation.ConclusionsAnalysis of single nucleotide variants and their expression in single cells provides a powerful novel approach to accurately define leukocyte chimerism in a complex organ such as a transplanted kidney, coupled with the ability to examine transcriptional profiles at single-cell resolution.

Benjamin D HumphreysWashington Universityhumphreysbd@wustl.edu
Andrew F Malone1
Haojia Wu1
Catrina Fronick2
Robert Fulton2
Joseph P Gaut1
Benjamin D Humphreys1
1Washington University
2Washington University; McDonnell Genome Institute
Ida Zucchi

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/4ef86852-aca0-4a91-8522-9968e0e54dbe
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INSDC Project Accessions:GEO Series Accessions:

Atlas

KidneyKidney v1.0

Analysis Portals

None

Project Label

ChimerismKidneyTransplantReject

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

kidney

Organ Part

Unspecified

Selected Cell Types

Unspecified

Disease Status (Specimen)

3 disease statuses

Disease Status (Donor)

4 disease statuses

Development Stage

2 development stages

Library Construction Method

2 library construction methods

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

raw_matrix_generation

File Format

3 file formats

Cell Count Estimate

81.1k

Donor Count

6
csv.gz8 file(s)fastq.gz68 file(s)xlsx1 file(s)