Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1178828 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR31145000.fastq.gz | Fastqsanger.gz | |||
| SRR31145001.fastq.gz | Fastqsanger.gz | |||
| SRR31145002.fastq.gz | Fastqsanger.gz | |||
| SRR31145003.fastq.gz | Fastqsanger.gz | |||
| SRR31145004.fastq.gz | Fastqsanger.gz |
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Project description:Early development of acute rejection after kidney transplantation is associated with diminished long-term graft survival. Predicting early acute rejection (EAR) at the time of transplant is important to risk-stratify patients and titrate immunosuppression accordingly. We performed whole-blood RNA sequencing at the time of transplant in 235 kidney transplant recipients enrolled in a prospective-cohort study [one discovery set (N=81), two validation sets (N=74 and N=80)] and evaluated the relationship with EAR and graft loss. We identified a blood based 23-gene set in recipients at the time of transplant that predicts the risk of EAR and is associated with late AR and allograft loss. This gene set is an important new tool to risk-stratify recipients before kidney transplantation and help guide immunosuppressive therapy accordingly.
2019-10-01 | GSE112927 | GEO
Project description:Background: Hepatitis E Virus (HEV) is a new causative agent of chronic hepatitis in solid organ transplant recipients in Europe. Factors associated with the occurrence and persistence of chronic HEV infection remain largely unknown but chronic evolution seems to be the consequence of hostM-bM-^@M-^Ys immunological factors rather than of viral factors. Method: In a prospective case-control study, we have determined in whole blood of chronically HEV-infected kidney-transplant recipients the host response using microarray technology. Results: Chronically HEV-infected kidney-transplant recipients exhibited a specific transcriptional program, in which interferon effectors were prominent. The intensity of expression of each signatureM-bM-^@M-^Ys gene was significantly lower in patients who were subsequently cleared of HEV than in patients who were not. Furthermore, in patients who were cleared of HEV, a higher expression of these genes was associated with a longer delay until HEV clearance. Conclusions: The specific transcriptional program determined in chronically HEV-infected kidney-transplant recipients suggests an activation of type I interferon response. Intensity of interferon-stimulated genes expression could be useful to forecast the outcome of infection. High expression of interferon-stimulated genes could signify a dysregulation in the interferon response that might favour the persistence of the HEV infection. TrialM-bM-^@M-^Ys registration number: NCT01090232; RegistryM-bM-^@M-^Ys URL: http://clinicaltrials.gov/ct2/show/study/NCT01090232?term=kidney+transplant+recipients&cntry1=EU%3AFR&rank=2 Total RNA was extracted from whole-blood sample or monocytes of kidney-transplant patients with or without chronic hepatitis E (CHE) infection. Control patients were matched up with CHE patients for age, sex, time since kidney transplant and immunosuppressive treatment.
2013-01-29 | E-GEOD-36539 | biostudies-arrayexpress
Project description:Tacrolimus (TAC) is an immunosuppressant widely used in kidney transplantation. TAC displays considerable inter-individual variability in pharmacokinetics (PK). Genetic and clinical factors play important roles in TAC PK. To define genetic factors associated with tacrolimus blood trough concentration, we performed a genome-wide association study of renal transplant samples from 251 Chinese renal transplant recipients. We identified 23 single nucleotide polymorphisms (SNPs) related to TAC PK variability. All 23 genome-wide significant SNPs (p<5E-8) were located on chromosome 7, including rs776746. These findings suggest that these SNPs may be associated with the unexlained TAC PK variability in renal transplant recipients and require further investigation.
2022-02-24 | GSE196772 | GEO
Project description:Transplant recipients spontaneously accepting their grafts in the absence of immunosuppression demonstrate the feasibility of attaining allograft tolerance in humans. Previous studies have identified blood transcriptional and cell phenotypic markers specific for either liver or kidney tolerant recipients, but the two settings have not been directly compared yet employing the same platforms. To identify potential similarities in immune parameters between recipients tolerant to different organs, we analyzed blood samples from tolerant and non-tolerant liver and kidney recipients employing whole genome expression microarrays. Tolerant and non-tolerant liver and kidney recipients differed in their peripheral blood expression patterns, but no significant overlap was observed between the two datasets. This was confirmed at the functional level by employing gene set enrichment analysis.The lack of obvious similarities in immune parameters associated with liver and kidney tolerant recipients implies the involvement of different mechanisms in the two settings and argues against the existence of a common immunological constant of spontaneous operational tolerance in clinical transplantation.
2012-01-01 | GSE22707 | GEO
Project description:Transcriptomic profiling of kidney transplant recipients [RNA-seq]
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Project description:DNA methylation profiling of kidney transplant recipients
| PRJNA1054494 | ENA
Project description:Transplant recipients spontaneously accepting their grafts in the absence of immunosuppression demonstrate the feasibility of attaining allograft tolerance in humans. Previous studies have identified blood transcriptional and cell phenotypic markers specific for either liver or kidney tolerant recipients, but the two settings have not been directly compared yet employing the same platforms. To identify potential similarities in immune parameters between recipients tolerant to different organs, we analyzed blood samples from tolerant and non-tolerant liver and kidney recipients employing whole genome expression microarrays. Tolerant and non-tolerant liver and kidney recipients differed in their peripheral blood expression patterns, but no significant overlap was observed between the two datasets. This was confirmed at the functional level by employing gene set enrichment analysis.The lack of obvious similarities in immune parameters associated with liver and kidney tolerant recipients implies the involvement of different mechanisms in the two settings and argues against the existence of a common immunological constant of spontaneous operational tolerance in clinical transplantation. The complete database comprised the expression measurements of 54,675 genes for liver and kidney trasplant inmunotolerance groups (n=12 for each group).A group of 12 samples from Healthy volunteer are included.
2012-01-01 | E-GEOD-22707 | biostudies-arrayexpress
Project description:The aim of this study was to investigate correlations between early subclinical findings (10 and 90 day histology and gene expression data) and late outcomes (transplant glomerulopathy and graft loss) in positive crossmatch kidney transplants (+XMKTx). Our goal was threefold: first, to confirm that intragraft molecular changes at 12m post-transplant are associated with the observed histologic changes in SLK transplant recipients, compared with KTA transplant recipients; second, to ascertain whether specific molecular pathways/markers that are not accounted for by routine histology are differentially expressed in the kidney allografts of the SLK transplant recipients; and third, to determine whether a molecular signature that is uniquely associated with simultaneous liver transplantation can be identified in kidney allografts. Biopsy samples were from positive and negative crossmatch simultaneous liver-kidney transplant recipients (12 month protocol biopsies) were compared to control patient (positive and negative crossmatch) biopsies obtained at 12 months. This dataset is part of the TransQST collection.
2017-04-14 | E-GEOD-97780 | biostudies-arrayexpress
Project description:Operational tolerance after solid organ transplantation is defined as stable graft acceptance without immunosuppression while maintaining normal immunocompetence against immunological insults. However, it is not clear yet which cellular and molecular pathways are driving tolerance in these patients and how this state can be induced in order to improve graft survival. Several transcriptomic analysis have shown that transcription signatures in blood can reflect the immunological state associated with operational tolerance in kidney transplant. Nonetheless, epigenetic dynamics orchestrating these transcription signatures have not yet been studied. Here, we performed genome-wide analysis of DNA methylation of kidney transplant recipients with chronic rejection and operational tolerance. Our data showed that chronic rejection and operational tolerance recipients have differential DNA methylation in 2737 genes, indicating that each patient group has a specific epigenetic signature associated with transplant outcome. In addition, we observed that operational tolerance is associated with DNA demethylation in genes involved in immune function, including B cell activation (e.g. ST6GAL1, MS4A1 and MEF2C) and the Th17 differentiation program (e.g. LY9 and BATF), while in CR patients is mostly associated intracellular signaling and ubiquitination pathways. Finally, we used weighted gene co-expression network analysis (WGCNA) to select the more defining epigenetic changes associated with operational tolerance. By this method, we select 12 genomic regions specifically hypomethylated (HIVEP2, HOMER1, UTRN, PTPRO, SP100 and JAZF1) or hypermethylated (EMZ8, EZR-AS, WDR20, NADSYN1, TBCD and MED17) in tolerant patients. Analysis of these genes in stable transplant recipients with immunosuppression showed that these patients have a similar methylation signature to operational tolerance recipients. Overall, these results demonstrate that DNA methylation in blood can mirror the immune status associated with kidney transplant outcome and provides a starting point for understanding the epigenetic mechanisms associated with operational tolerance.
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