Expression data from graft infiltrating macrophages treated with mTORi-HDL nanobiologics
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE119370 | GEO | 2018/10/31
REPOSITORIES: GEO
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Project description:Expression data from graft infiltrating macrophages treated with mTORi-HDL nanobiologics
| PRJNA488999 | ENA
Project description:Using meta-analysis of eight independent transplant datasets (236 graft biopsy samples) from four organs, we identified a common rejection module (CRM) consisting of 11 genes that were significantly overexpressed in acute rejection (AR) across all transplanted organs. The CRM genes could diagnose AR with high specificity and sensitivity in three additional independent cohorts (794 samples). In another two independent cohorts (151 renal transplant biopsies), the CRM genes correlated with the extent of graft injury and predicted future injury to a graft using protocol biopsies. Inferred drug mechanisms from the literature suggested that two FDA-approved drugs (atorvastatin and dasatinib), approved for non-transplant indications, could regulate specific CRM genes and reduce the number of graft infiltrating cells during acute rejection. We treated mice with HLA-mismatched murine cardiac transplant with atorvastatin and dasatinib and showed reduction of the CRM genes, significant reduction of graft infiltrating cells, and extended graft survival. We further validated the beneficial effect of atorvastatina on graft survival by retrospective analysis of electronic medical records of a single-center cohort of 2,515 renal transplant patients. In conclusion, we identified a CRM in transplantation that provides new opportunities for diagnosis, drug repositioning and rational drug design. The eight transplant data sets used for discovery include GSE4315, GSE2596, GSE4470, GSE9377, GSE1563, GSE9493, GSE13440, GSE6095. The two additional independent cohorts of 151 transplant biopsies are GSE25902 and GSE1563. Not all samples from all studies were used. Only the samples marked as either AR or STA in each data set were used for analysis. The 101 samples in this study were used as case-control experiment between acute rejection (AR) and stable (STA) in renal transplant. The samples in this series are one of the three independent validation cohorts. The other two cohorts are described in GSE21374 and GSE36059
2013-10-04 | E-GEOD-50058 | biostudies-arrayexpress
Project description:PBMC samples from heart transplant patients were profiled. Sample classification was based on endomyocardial biopsy at the time of sample collection. Keywords = Transplant Keywords = Transplantation Keywords = Heart Transplant Keywords = Graft Rejection Keywords = Rejection Keywords = PBMC Keywords = Immune Response Keywords = Peripheral Blood
2010-06-10 | E-GEOD-2445 | biostudies-arrayexpress
Project description:MicroRNAs are small non-coding RNA molecules that regulate the post-transcriptional expression of target genes. In addition to being involved in many biologic processes including development, cell differentiation, proliferation, and apoptosis, microRNAs are important regulators in innate and adaptive immune responses. Distinct sets of expressed miRNAs are found in different cell types and tissues and aberrant expression of microRNAs is associated with many disease states. MicroRNA expression was examined in a model of heterotopic heart transplantation by microarray analyses and a unique profile was detected in rejecting allogeneic transplants (BALB/C to C57BL/6) as compared to syngeneic transplants (C57BL/6 to C57BL/6). The microRNA miR-182 was significantly increased in rejecting cardiac allografts and in mononuclear cells that infiltrate the grafts. Forkhead Box (FOX) proteins are a family of important transcription factors and FOXO1 is a target of miR-182. As miR-182 increases after transplant, there is a concomitant post-transcriptional decrease in FOXO1 expression in heart allografts that is localized to both the cardiomyocytes and CD3+ T cells. The microRNA miR-182 is significantly increased in both PBMC and plasma during graft rejection suggesting potential as a biomarker of graft status. Our results identify microRNAs that may regulate alloimmune responses and graft outcomes. In total 14 microRNA microarrays data. For heart graft: each sample column corresponds to the expression profile of 3 pooled syngeneic or 3 pooled allogeneic heart grafts or 3 pooled normal heart. For graft infiltrating lymphocytes (GILs): each sample column corresponds to the expression profile of 3 pooled syngeneic or 3 pooled allogeneic GILs or 3 pooled normal PBMC.
2012-12-30 | E-GEOD-32545 | biostudies-arrayexpress
Project description:Using meta-analysis of eight independent transplant datasets (236 graft biopsy samples) from four organs, we identified a common rejection module (CRM) consisting of 11 genes that were significantly overexpressed in acute rejection (AR) across all transplanted organs. The CRM genes could diagnose AR with high specificity and sensitivity in three additional independent cohorts (794 samples). In another two independent cohorts (151 renal transplant biopsies), the CRM genes correlated with the extent of graft injury and predicted future injury to a graft using protocol biopsies. Inferred drug mechanisms from the literature suggested that two FDA-approved drugs (atorvastatin and dasatinib), approved for non-transplant indications, could regulate specific CRM genes and reduce the number of graft infiltrating cells during acute rejection. We treated mice with HLA-mismatched murine cardiac transplant with atorvastatin and dasatinib and showed reduction of the CRM genes, significant reduction of graft infiltrating cells, and extended graft survival. We further validated the beneficial effect of atorvastatina on graft survival by retrospective analysis of electronic medical records of a single-center cohort of 2,515 renal transplant patients. In conclusion, we identified a CRM in transplantation that provides new opportunities for diagnosis, drug repositioning and rational drug design. The eight transplant data sets used for discovery include GSE4315, GSE2596, GSE4470, GSE9377, GSE1563, GSE9493, GSE13440, GSE6095. The two additional independent cohorts of 151 transplant biopsies are GSE25902 and GSE1563. Not all samples from all studies were used. Only the samples marked as either AR or STA in each data set were used for analysis.
2013-10-04 | GSE50058 | GEO
Project description:PBMC samples from heart transplant patients were profiled. Sample classification was based on endomyocardial biopsy at the time of sample collection. Keywords = Transplant Keywords = Transplantation Keywords = Heart Transplant Keywords = Graft Rejection Keywords = Rejection Keywords = PBMC Keywords = Immune Response Keywords = Peripheral Blood Keywords: other
2005-09-01 | GSE2445 | GEO
Project description:Background: Studies recently support that non-HLA antigens could be additional targets of injury in organ transplant recipients, and MICA was associated with an increased risk of graft loss. Methods: A ProtoArray platform was used to study 37 serum samples from 22 unique patients (15 renal recipients and 7 healthy controls). Thirty paired pre- and post-transplant serum samples were analyzed for detection of de novo post-transplant antibody responses in the 15 patients (10 acute rejection (AR), 5 Stable). Probes on ProtoArray and cDNA platforms (GSE: 3931) were re-annotated and compartment specific gene lists were analyzed using the integrated genomics method. Normal and transplant kidney IHC were performed for MICA antigen localization. Results: Mean MICA-Ab (antibody) signal intensity was significantly higher in transplant patients compared with healthy controls and de novo MICA-Ab were detected in 73% transplant patients. The mean post-transplant signal intensity of MICA-Ab was the highest in C4d+AR. Detection of MICA-Ab responses did not correlate with time post-transplantation, but significantly correlated with decline in graft function over the subsequent year. Integrative genomics predicted localization of the MICA antigen to the glomerulus. IHC confirmed cytoplasmic MICA staining solely in glomerular podocytes in normal kidney. In the transplant kidney, infiltrating mononuclear lymphocytes (T, B and NK) in AR had additional MICA staining. Conclusions: MICA can be highly detected regardless of graft dysfunction or AR. The intensity signal of the MICA antibody correlates with subsequent decline in graft function. The MICA antigen localizes to the glomerulus and infiltrating mononuclear cells in AR.
2009-01-16 | GSE14329 | GEO
Project description:Background: Studies recently support that non-HLA antigens could be additional targets of injury in organ transplant recipients, and MICA was associated with an increased risk of graft loss. Methods: A ProtoArray platform was used to study 37 serum samples from 22 unique patients (15 renal recipients and 7 healthy controls). Thirty paired pre- and post-transplant serum samples were analyzed for detection of de novo post-transplant antibody responses in the 15 patients (10 acute rejection (AR), 5 Stable). Probes on ProtoArray and cDNA platforms (GSE: 3931) were re-annotated and compartment specific gene lists were analyzed using the integrated genomics method. Normal and transplant kidney IHC were performed for MICA antigen localization. Results: Mean MICA-Ab (antibody) signal intensity was significantly higher in transplant patients compared with healthy controls and de novo MICA-Ab were detected in 73% transplant patients. The mean post-transplant signal intensity of MICA-Ab was the highest in C4d+AR. Detection of MICA-Ab responses did not correlate with time post-transplantation, but significantly correlated with decline in graft function over the subsequent year. Integrative genomics predicted localization of the MICA antigen to the glomerulus. IHC confirmed cytoplasmic MICA staining solely in glomerular podocytes in normal kidney. In the transplant kidney, infiltrating mononuclear lymphocytes (T, B and NK) in AR had additional MICA staining. Conclusions: MICA can be highly detected regardless of graft dysfunction or AR. The intensity signal of the MICA antibody correlates with subsequent decline in graft function. The MICA antigen localizes to the glomerulus and infiltrating mononuclear cells in AR. Pre- and post-transplant serum antibodies were profiled for each patient, using the Invitrogen ProtoArray® Human Protein Microarray v3.0 platform (Invitrogen, Carlsbad, CA). This platform contains 5,056 non-redundant human proteins expressed in a baculovirus system, purified from insect cells and printed in duplicate onto a nitrocellulose-coated glass slide. Each protein is spotted twice on each array, to measure the quality of the signal intensity. Details for experiment processing and analysis follow the previous publication from our group (13). Prospector software was used to retrieve the expression based on immune response profiling of the .gal files.
2010-05-06 | E-GEOD-14329 | biostudies-arrayexpress
Project description:Measurement of specific gene expression in clinical samples is a promising approach for monitoring the recipient immune status to the graft in organ transplantation. Identification of biomarker genes closely associated with tolerance or rejection is critical for this monitoring protocol. Unlike previous studies, our microarray analysis focused on donor antigen-reactive T cells, which were prepared by collecting CD69+ T cells from cocultures of recipient peripheral T cells and donor antigen-presenting cells. A comparison of different recipient groups enabled us to identify several tolerance- and rejection-correlated biomarker genes, including previously unknown genes. By measuring biomarker gene expression in the CD69+ T cell fraction using quantitative reverse-transcription polymerase chain reaction, we were able to precisely detect the immune status of recipients relative to their graft. Full-thickness donor (BDF1; C57BL/6 x DBA/2) tail skin was grafted onto recipient (C57BL/6) mice. Tolerance to the graft was induced by donor specific transfusion combined with administration of anti-CD40L Ab (MR-1). Total T lymphocytes were prepared from spleen and lymph nodes of tolerant recipient mice on day 100 after skin transplantation, untreated recipient mice on day 7, and ungrafted, healthy C57BL/6 mice and used as tolerant, rejecting and naïve T lymphocyte samples, respectively. In order to isolate alloantigen-reactive cells, T lymphocytes were cocultured with donor T cell-depleted splenocytes for 20-21 hours and then separated into two subpopulations based on CD69 expression using fluorescence cell sorter. Total RNA was extracted from these CD69+ and CD69- T cells and subjected to microarray using Illunima MouseWG-6 Expression BeadChip. All data analysis and visualization of differentially expressed genes was conducted using Illumina GenomeStudio v2009.2 (Gene Expression Module v1.5.4) and R statistical language v2.6.1. Candidate tolerance genes were defined as the common genes satisfying the following criteria; 1) 1.5 fold or higher expression in CD69+ T cells isolated from tolerant recipients than those from naïve mice, 2) 1.5 fold or higher expression in CD69+ T cells than CD69- T cells from tolerant mice, 3) 500 or higher average signal measured in CD69+ T cells from tolerant mice. The criteria for candidate rejection genes were 1) 1.5 fold or higher expression in CD69+ T cells isolated from rejecting recipients than those from tolerant mice, 2) 1.5 fold or higher expression in CD69+ T cells than CD69- T cells from rejecting mice, 3) 500 or higher average signal measured in CD69+ T cells from rejecting mice.
2011-10-12 | E-GEOD-32953 | biostudies-arrayexpress
Project description:In clinical organ transplantation complete cessation of immunosuppressive therapy can be successfully accomplished in selected recipients providing a proof-of-principle that allograft tolerance is attainable in humans. The intra-graft molecular pathways associated with human allograft tolerance, however, have not been comprehensively studied before. In this study we analyzed sequential liver tissue samples collected from liver recipients enrolled in a prospective multicenter immunosuppressive withdrawal clinical trial. Tolerant and non-tolerant recipients differed in the intra-graft expression of genes involved in the regulation of iron homeostasis.These results point to a critical role of iron homeostasis in the regulation of intra-graft alloimmune responses in humans and provide a set of novel biomarkers to conduct drug-weaning trials in liver transplantation. The complete database comprised the expression measurements of 48766 probes in liver biopsies. The liver biopsy specimens available for the study were obtained: a) before immunosuppressive drugs were discontinued from tolerant (TOL, n=24) and non-tolerant (Non-TOL, n=29) recipients; b) at the time of rejection from non-tolerant recipients (Non TOL REJ, n=18); In addition, liver tissue samples were also collected from the following control patient groups: a) liver transplant recipients with chronic hepatitis due to recurrent hepatitis C virus infection (HEPC, n=12); b) liver transplant recipients with typical acute cellular rejection taking place during the immediate post-transplant period (REJ, n=9); c) liver transplant recipients under maintenance immunosuppression with normal liver function and normal liver histology 1 year after transplantation (CONT-Tx, n=8); and d) non-transplanted patients undergoing surgery for colorectal liver metastases (CONT, n=10).
2012-01-09 | E-GEOD-26625 | biostudies-arrayexpress