Molecular regulation of acute kidney injury (miRNA)
Ontology highlight
ABSTRACT:
ORGANISM(S): synthetic construct Homo sapiens
PROVIDER: GSE53771 | GEO | 2015/01/15
SECONDARY ACCESSION(S): PRJNA232847
REPOSITORIES: GEO
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Project description:18 zero-hour and 18 selected post-transplant (Tx) biopsy samples from 18 kidney allografts (8 acute kidney injury (AKI), 10 PBx - protocol biopsies - controls) were analyzed by using the Affymetrix GeneChip® Human Gene 2.0 ST Array.
2015-01-15 | GSE53769 | GEO
Project description:18 zero-hour and 18 selected post-transplant (Tx) biopsy samples from 18 kidney allografts (8 acute kidney injury (AKI), 10 PBx - protocol biopsies - controls) were analyzed by using the Affymetrix GeneChipM-BM-. miRNA 3.0 Array. Comparison between control group (protocol biopsies) and indication biopsies with histological lesions of acute tubular necrosis without rejection (ATN).
2015-01-15 | E-GEOD-53771 | biostudies-arrayexpress
Project description:18 zero-hour and 18 selected post-transplant (Tx) biopsy samples from 18 kidney allografts (8 acute kidney injury (AKI), 10 PBx - protocol biopsies - controls) were analyzed by using the Affymetrix GeneChip® Human Gene 2.0 ST Array. comparison between control group (protocol biopsies) and indication biopsies with histological lesions of acute tubular necrosis without rejection (ATN)
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Project description:Sixty-five selected post-transplant biopsy samples (30 acute cellular rejection (AREJ 15 Banff-1, 15 Banff-2), 11 antibody mediated rejection (ABMR), 14 DGF, 10 PBx - protocol management biopsies - controls) were analyzed by using the Affymetrix GeneChip® miRNA Array. comparison between control group (protocol biopsies 3 month after TX) and indication biopsies (AREJ, ABMR and DGF)
2013-06-14 | E-GEOD-30282 | 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:Introduction. Factors contributing to kidney transplant fibrosis remain incompletely understood—particularly in the absence of acute complications. Methods. Baseline and one-year surveillance biopsies from 15 uncomplicated living donor kidney transplants were subjected to microarray and quantitative RT-PCR (qRT-PCR) analyses in order to examine changes in gene expression patterns over time. Biopsy pairs were purposefully selected from allografts with no history of acute complications and were divided into those that were histologically normal (n = 7) and those that had developed subclinical interstitial fibrosis (n = 8) at 1 year. Results. Compared to the paired baseline specimens, expression levels of 3578 probesets were found altered in all the one-year biopsies studied. A large proportion of the upregulated genes in this transplant-associated profile were functionally linked with inflammation, immunity or response to injury. These included components of inflammation-related signaling pathways (integrin, interferon and TLR) as well as individual mediators of inflammatory and immune responses. An additional 2884 probesets demonstrated altered expression in fibrotic grafts only at 1 year. The gene products in this fibrosis-associated profile were also predominantly linked with inflammation and immune function, suggesting exaggerated inflammatory activity within the fibrotic grafts. qRT-PCR analyses confirmed the predicted expression patterns for selected transcripts from the microarray profiles. Conclusions. Transcriptional profiles of histologically normal living donor renal allografts indicate that there is ongoing injury response and inflammation at 1 year compared to the immediate post-transplant period. Subclinical development of interstitial fibrosis during the first post-transplant year is associated with additional upregulation of inflammation-related genes. Keywords: time course, comparative expression We analyzed gene expression from a group of 15 renal transplant patients. All patients had histologically normal time zero biopsy but while 7 remained histologically normal (TxNorm), 8 developed subclinical interstitial fibrosis (GIF/TA) by 1 year. Patient groups were carefully selected to include patients on the same immunosuppresion therapy, transplant type, biopsy histology and absence of overt post-transplant complications (acute rejection, BK, etc). This dataset is part of the TransQST collection.
2007-03-30 | E-GEOD-7392 | biostudies-arrayexpress
Project description:Microarray analysis of human kidneys with acute kidney injury (AKI) has been limited because such kidneys are seldom biopsied. However, all kidney transplants experience AKI, and early kidney transplants without rejection are an excellent model for human AKI: they are screened to exclude chronic kidney disease, frequently biopsied, and have extensive follow-up. We used histopathology and microarrays to compare indication biopsies from 28 transplants with AKI to 11 pristine protocol biopsies of stable transplants. Kidneys with AKI showed increased expression of 394 injury-repair response associated transcripts, including many known epithelial injury molecules (e.g. ITGB6, LCN2), tissue remodeling molecules (e.g. VCAN), and inflammation molecules (S100A8, ITGB3). Many other genes also predict the phenotype, depending on statistical filtering rules, including AKI biomarkers as HAVCR1 and IL18. Most mouse orthologs of the top injury-repair transcripts were increased in published mouse AKI models. Pathway analysis of the injury-repair transcripts revealed similarities to cancer, development, and cell movement. The injury-repair transcript score AKI kidneys correlated with reduced function, future recovery, brain death, and need for dialysis, but not future graft loss. In contrast, histologic features of "acute tubular injury" did not correlate with function or with the molecular changes. Thus the injury-repair associated transcripts represent a massive coordinate injury-repair response of kidney parenchyma to AKI, similar to mouse AKI models, and provide an objective measure for assessing the severity of AKI in kidney biopsies and validation for the use of many AKI biomarkers. AKI biopsies sample names and CEL files are from GSE21374. All consenting renal transplant patients undergoing biopsies for cause as standard of care between 09/2004 and 10/2007 at the university of Alberta or between 11/2006 and 02/2007 at the University of Illinois were included in the analysis. In addition to the cores required for standard histopathology, we collected one core for gene expression studies. the relationship between gene expression in the biopsy and subsequent graft loss was analyzed. This dataset is part of the TransQST collection.
2012-02-21 | E-GEOD-30718 | 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.
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Project description:Sixty-five selected post-transplant biopsy samples (30 acute cellular rejection (AREJ 15 Banff-1, 15 Banff-2), 11 antibody mediated rejection (ABMR), 14 DGF, 10 PBx - protocol management biopsies - controls) were analyzed by using the Affymetrix GeneChip® miRNA Array.
2013-06-14 | GSE30282 | GEO
Project description:One and four month formalin-fixed paraffin embedded biopsies from 48 kidney transplant recipients (24 AKI donors, 24 non-AKI) underwent global gene expression profiling using DNA microarrays (96 arrays). At one month, there were 898 differentially expressed genes in the AKI group (p-value <0.005; FDR <10%), but by 4-months there were no longer any differences. One and four month formalin-fixed paraffin embedded (FFPE) biopsies from 48 kidney transplant recipients (24 AKI donors, 24 controls; 96 total samples) were profiled using Affymetrix U133PM Plus PM plate arrays on a GeneTitan MC instrument. All samples were selected from the SCD cohort only. AKI donor and controls samples were matched by date of transplantation. Total RNA was extracted from four 20-micron sections using Ambion RecoverAll Total Nucleic Acid Kit and processed for chip hybridization using the new Affymetrix SensationPlus™ FFPE Amplification and 3’ IVT Labeling kit according to the manufacturer’s protocol. Quantile data normalization by RMA and analysis was performed using Partek Genomics Suite for PDR-corrected differential gene expression by ANOVA. Pathway mapping was performed using Ingenuity Pathway Analysis (IPA). This dataset is part of the TransQST collection.
2015-05-22 | E-GEOD-61739 | biostudies-arrayexpress