Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

67993398-3673-4f10-8b26-25c95c3949c8 - samples

ABSTRACT: We analyzed the T-cell receptor (TCR) repertoires from ten kidney transplant recipients. Five out of the ten kidney transplant recipients received ATLG while the other five recipients received basiliximab as induction therapy. TCR repertoires of CD4+ and CD8+ positive T-cells were assessed prior to transplantation and within the first month after transplantation as well as at three- and 12-months post-transplant. In addition, the pre-formed alloreactive TCR repertoire for each kidney transplant recipient was identified using mixed lymphocyte reaction and donor reactive T-cells were subjected to TCR beta sequencing. This dataset comprises a total of 106 samples. NGS TCR beta libraries of all samples were sequenced on an Illumina NextSeq 500 and raw sequencing data (in the form of fastq files) as well assembled clonotypes and their counts (in the form of clonotype tables) are provided.

PROVIDER: EGAD00001008478 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

7f1ebddd-ce9e-489b-90b8-d691a3785168 - samples

Project description:We analyzed the T-cell receptor (TCR) repertoires from twelve kidney transplant recipients. Six out of the twelve kidney transplant recipients experienced a cellular rejection after kidney transplantation. TCR repertoires of CD4+ and CD8+ positive T-cells were assessed prior to transplantation and after transplantation at time of allograft biopsy using RNA based T-cell receptor beta next generation sequencing (NGS). In addition, the pre-formed alloreactive TCR repertoire for each kidney transplant recipient was identified using mixed lymphocyte reaction and donor reactive T-cells were subjected to TCR beta sequencing. In two out of the six patients with cellular rejection the TCR repertoire of graft infiltrating T-cells was additionally captured. This dataset comprises a total of 98 samples. NGS TCR beta libraries of all samples were sequenced on an Illumina NextSeq 500 and raw sequencing data (in the form of fastq files) as well assembled clonotypes and their counts (in the form of clonotype tables) are provided.

| EGAD00001007695 | EGA

Transcriptional trajectories of human kidney injury progression

Project description:RNAseq analysis on protocol biopsies obtained from 42 kidney transplant recipients at 4 time points after kidney transplantation.

2019-02-21 | GSE126805 | GEO

Post-transplant diabetes mellitus after kidney transplantation

Project description:Diabetes mellitus (DM) after transplantation remains a crucial clinical problem in kidney transplantation. To obtain insights into molecular mechanisms underlying the development of post-transplant diabetes mellitus (PTDM) and its early impact on glomerular structures, here we comparatively analyze the proteome of histologically normal appearing glomeruli from patients with PTDM from normoglycemic (NG) transplant recipients, and from recipients with pre-existing type 2 DM (PTDM)

2023-10-24 | PXD042188 | Pride

T cell receptor repertoire profiling of murine skin transplantation in context of PD-1+ cells Ablation therapy

Project description:The purpose of this study was to evaluate the influence of ablating PD-1+ cells on alloreactive T cell repertoires. We established the murine skin transplantation model and obtained the draining lymph nodes (dLNs) T cells from recipients for TCR repertoires sequencing.

2024-01-06 | GSE217002 | GEO

Pretransplant transcriptomic signature in peripheral blood predicts acute rejection and renal allograft loss

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

Molecular changes in kidney allografts after simultaneous liver-kidney compared with solitary kidney transplantation

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

Molecular changes in kidney allografts after simultaneous liver-kidney compared with solitary kidney transplantation

2017-04-14 | GSE97780 | GEO

Microbiota and Complications in Kidney Transplant Recipients

Project description:<p>In this study, we investigated the role of the gut microbiota on the development of complications in kidney transplant recipients. We collected serial fecal specimens from 168 kidney transplant recipients within the first 3 months after transplantation. We performed 16S rRNA gene sequencing of the V4-V5 hypervariable region and examined whether the relative gut abundance of pathogenic bacteria was associated with future development of complications like bacteriuria and urinary tract infections. In a subset of samples, we performed metagenomic sequencing of stool and urine supernatant specimens to determine strain level analysis. </p>

| phs001879 | dbGaP

Kidney transplant recipients

Project description:Kidney transplant recipients

| PRJNA1054489 | ENA

Clonal dynamics of alloreactive T cells in kidney allograft rejection after anti-PD-1 therapy [Non-naive CD8 single-cell]

Project description:Kidney transplant recipients are at particular risk for developing tumors, many of which are now routinely treated with immune checkpoint inhibitors (ICIs); however, ICI therapy can precipitate transplant rejection. We utilized TCR sequencing to identify and track alloreactive T cells in a patient with melanoma who experienced kidney transplant rejection following ICI therapy. ICI therapy was associated with a sharp increase in circulating alloreactive CD8+ T cell clones, many of which were also detected in the rejected kidney but not at tumor sites. Longitudinal and cross-tissue TCR analyses revealed unintended expansion of alloreactive CD8+ T cells induced by ICI therapy for cancer, coinciding with ICI-associated organ rejection.

2023-02-01 | GSE216762 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data