Inflammatory Response and Host-Donor Chimerism Defined by Single Cell RNA-Seq of Allograft Biopsy
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA431401 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR6506830_1.fastq.gz | Fastqsanger.gz | |||
| SRR6506830_2.fastq.gz | Fastqsanger.gz | |||
| SRR6506831_1.fastq.gz | Fastqsanger.gz | |||
| SRR6506831_2.fastq.gz | Fastqsanger.gz | |||
| SRR6506832_1.fastq.gz | Fastqsanger.gz |
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Project description:The study comprises various components: Samples TD: We aims to screen out different gene expression profile in donor biopsies after revascularization , We aims to predict renal allograft dysfunction early after transplantation. Samples AR, ATN, Tx: We aim to screen out different gene expression profile in acute rejection on the kidney. We aim to screen out different gene expression profile in acute tubular necrosis on the kidney. Results from the various study components can help to diagnose renal allograft dysfunction with different causes by distinct gene expression profile. Keywords: acute rejection, acute tubular necrosis, donor biopsies, renal allograft dysfunction
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Project description:In deceased donor kidney transplantation, acute kidney injury (AKI) prioir to surgery is a major determinant of delayed graft function (DGF), but AKI is histologically silent and difficult to assess. We hypothesized that a molecular measurement of AKI would add power to conventional risk assessments to predict the early poor allograft function at first week post transplantation. We performed microarrays on implantation biopsies taken during reperfusion in 70 deceased donor kidneys from 53 donors. Early poor function was classified by two definitions on day 7 post-transplantation: serum creatinine greater than 265 umol/L (3 mg/dL) or the requirement for dialysis. Donor age and related risk scores (Irish, Schold, KDRI) associated with worse early function, as expected, but histologic features (glomerulosclerosis; pathology risk scores (Remuzzi, MAPI)) correlated with donor age but not with poor function. However, molecular AKI signal, previously defined in kidneys with early injury, was the best single predictor of poor allograft function. The combination of donor age and the AKI signal improved the prediction of poor function. In addition, asssessments of tissue quality particularly donor age, Banff ct, Irish and KDRI scores, showed negative correlative trend with late graft function, whereas the AKI signal did not. Thus donor age and the molecular AKI signal are the main predictors of early impaired function, but have little impact on survival.
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Project description:The biopsy samples obtained at implantation segregated in 2 distinct groups according to donor origin, with a cluster of 319 unique identified genes higher expressed in DD compared to LD kidneys, and 329 genes lower expressed (false discovery rate <5%). Using pathway analysis software a significant local renal overrepresentation of complement genes in DD implantation biopsies was identified. Complement gene expression in DD kidneys related both to donor death and cold ischemia duration, and was associated with a slower onset of renal allograft function. In post-transplantation protocol biopsies, there was a continued overexpression of complement genes, regardless of donor source. The local renal complement gene expression variability in post-transplantation biopsies correlated with renal graft function. This study demonstrates a significant and clinically relevant local overexpression of complement genes in DD kidneys at engraftment and continuous functionally important regulation of complement gene expression after transplantation, regardless of donor source. Targeted therapy interfering with complement activation is an attractive therapeutic target that deserves further investigation in solid organ transplantation. Keywords: time course, genomics gene expression A total of 95 human renal allograft protocol biopsies were included in this study, 28 biopsies (14 DD, 14 LD) obtained at implantation prior to revascularization and 67 protocol biopsies obtained after transplantation. Whole genome expression profiles were assessed using microarrays. This dataset is part of the TransQST collection.
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