Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: MSV000079262
PROVIDER: PRJNA305092 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:While it is well known that cell-free RNA (cfRNA) can be isolated from urine, the diagnostic potential of this urine cfRNA, especially in comparison to plasma cfRNA, remains underexplored. Here, we directly compared the utility of urine cfRNA and plasma cfRNA for the monitoring of systemic and urinary tract related complications. We analyzed 297 matched plasma and urine cfRNA isolates obtained from three cohorts of patients: Hematopoietic Stem Cell Transplant (HSCT) recipients, patients with acute kidney injury (AKI), and healthy volunteers. The data highlight the unique cellular origins and properties of urinary and plasma RNA. Most importantly, we find that although plasma cfRNA is a superior analyte for monitoring immune and systemic complications, urinary cfRNA is more sensitive to complications of the urinary tract, including cell-type specific injury in the kidney. These findings highlight the potential of urine cfRNA as a novel analyte in diagnostic medicine.
2025-03-06 | GSE261018 | GEO
Project description:Kidney transplantation is the preferred treatment for kidney failure, offering improved survival, quality of life and cost-effectiveness compared to dialysis. However, post-transplant management is challenging due to the limited lifespan of transplanted organs, often requiring repeat transplants. Current methods for monitoring post-transplant complications are invasive and have limitations. Therefore, there is an urgent need for novel non-invasive biomarkers. This study investigates the proteomic composition of full urine as a source of information to understand renal biology during the process of transplantation and to identify potential markers for outcome prediction. Urine samples were collected from donors before transplantation and from recipients 4 weeks and 1 year after transplantation. Proteomic analysis was performed using mass spectrometry and label-free quantification. This study underscores the potential of non-invasive urine proteomics for identifying biological processes involved in the response of a kidney to transplantation and for enhancing post-transplant monitoring and outcome prediction.
2026-04-01 | PXD057361 | Pride
Project description:Kidney transplantation is the preferred treatment for kidney failure, offering improved survival, quality of life and cost-effectiveness compared to dialysis. However, post-transplant management is challenging due to the limited lifespan of transplanted organs, often requiring repeat transplants. Current methods for monitoring post-transplant complications are invasive and have limitations. Therefore, there is an urgent need for novel non-invasive biomarkers. This study investigates the proteomic composition of full urine as a source of information to understand renal biology during the process of transplantation and to identify potential markers for outcome prediction. Urine samples were collected from donors (timepoint A) before transplantation and from recipients 4 weeks (timepoint B) and 1 year (timepoint C) after transplantation. Proteomic analysis was performed using mass spectrometry and label-free quantification. This study underscores the potential of non-invasive urine proteomics for identifying biological processes involved in the response of a kidney to transplantation and for enhancing post-transplant monitoring and outcome prediction.
2026-04-01 | PXD071468 | Pride
Project description:A total of 45 urine samples from 5 prostate cancer (PC) patients, 10 renal transplant patients with proven acute rejection (AR), 10 renal transplant patients with stable graft (STA), 10 non-specific proteinuria patients (NS), and 10 healthy individuals (HI), were utilized for global urine proteome profiling using 2D-LC-MS/MS. Peptides were digested with trypsin then analyzed by LC-MS/MS. Data was searched with MS-GF+ using PNNL's DMS Processing pipeline.
2020-11-19 | MSV000086484 | MassIVE
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
2010-09-25 | GSE24338 | GEO
Project description:Transcriptional profiling of human mesenchymal stem cells comparing normoxic MSCs cells with hypoxic MSCs cells. Hypoxia may inhibit senescence of MSCs during expansion. Goal was to determine the effects of hypoxia on global MSCs gene expression.
2011-02-19 | GSE20463 | GEO
Project description: Not available
| S-EPMC2531291 | biostudies-literature
Project description:In transplantation, there is a critical need for non-invasive biomarker platforms for monitoring immunologic rejection. We hypothesized that transplanted tissues release donor specific exosomes into recipient circulation/ bodily fluids, and that the quantitation and profiling of their intra-exosomal cargoes would constitute a novel biomarker platform for monitoring rejection. We tested this hypothesis in a human into mouse xenogeneic islet transplant model, and validated the concept in clinical settings of islet and renal transplantation. In the xenogeneic model, islet transplant exosomes in recipient blood were quantified over long-term follow-up using anti-human leukocyte antigen (HLA) antibody that is only expressed on human islets (p=1.6x10-14). Transplant islet exosomes were purified using anti-HLA antibody conjugated beads and their cargoes contained bona fide islet endocrine hormone markers insulin, glucagon, and somatostatin. Rejection led to significant decrease in transplant islet exosome signal (p=4x10-15), along with distinct changes in its microRNA and proteomic profiles prior to appearance of hyperglycemia. In the clinical settings of islet (n=5) and renal (n=5) transplantation, donor exosomes with respective tissue specificity for islet β cells and renal epithelial cells were reliably characterized in recipient plasma over follow-up (up to 5 years; p=0.0001). Collectively, these findings demonstrate the biomarker potential of transplant exosome characterization for providing a non-invasive window into the conditional state of the transplant tissue.
2016-10-18 | GSE88844 | GEO
Project description:In transplantation, there is a critical need for non-invasive biomarker platforms for monitoring immunologic rejection. We hypothesized that transplanted tissues release donor specific exosomes into recipient circulation/ bodily fluids, and that the quantitation and profiling of their intra-exosomal cargoes would constitute a novel biomarker platform for monitoring rejection. We tested this hypothesis in a human into mouse xenogeneic islet transplant model, and validated the concept in clinical settings of islet and renal transplantation. In the xenogeneic model, islet transplant exosomes in recipient blood were quantified over long-term follow-up using anti-human leukocyte antigen (HLA) antibody that is only expressed on human islets (p=1.6x10-14). Transplant islet exosomes were purified using anti-HLA antibody conjugated beads and their cargoes contained bona fide islet endocrine hormone markers insulin, glucagon, and somatostatin. Rejection led to significant decrease in transplant islet exosome signal (p=4x10-15), along with distinct changes in its microRNA and proteomic profiles prior to appearance of hyperglycemia. In the clinical settings of islet (n=5) and renal (n=5) transplantation, donor exosomes with respective tissue specificity for islet β cells and renal epithelial cells were reliably characterized in recipient plasma over follow-up (up to 5 years; p=0.0001). Collectively, these findings demonstrate the biomarker potential of transplant exosome characterization for providing a non-invasive window into the conditional state of the transplant tissue.
2016-10-18 | GSE88845 | GEO
Project description:RNA extracted at 240min. Samples are rRNA depleted. Expression measurement of Homo sapiens genes.
2019-07-31 | GSE114179 | GEO