Dataset Information

The proteomic landscape of small urinary extracellular vesicles during kidney transplantation

ABSTRACT: This study represents the first quantitative analysis of the temporal changes in the small urinary extracellular vesicle proteome throughout living donor kidney transplantation identifying PCK2 abundance as a biomarker for renal function 12 months after transplantation

INSTRUMENT(S): Q Exactive Plus, Orbitrap Exploris 480

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Urine

SUBMITTER: Philipp Antczak

LAB HEAD: Roman-Ulrich Mueller

PROVIDER: PXD021344 | Pride | 2021-09-09

REPOSITORIES: Pride

ACCESS DATA

Publications

The proteomic landscape of small urinary extracellular vesicles during kidney transplantation.

Braun Fabian F Rinschen Markus M Buchner Denise D Bohl Katrin K Plagmann Ingo I Bachurski Daniel D Richard Späth Martin M Antczak Philipp P Göbel Heike H Klein Corinna C Lackmann Jan-Wilm JW Kretz Oliver O Puelles Victor G VG Wahba Roger R Hallek Michael M Schermer Bernhard B Benzing Thomas T Huber Tobias B TB Beyer Andreas A Stippel Dirk D Kurschat Christine E CE Müller Roman-Ulrich RU

Journal of extracellular vesicles 20201001 1

Kidney transplantation is the preferred renal replacement therapy available. Yet, long-term transplant survival is unsatisfactory, partially due to insufficient possibilities of longitudinal monitoring and understanding of the biological processes after transplantation. Small urinary extracellular vesicles (suEVs) - as a non-invasive source of information - were collected from 22 living donors and recipients. Unbiased proteomic analysis revealed temporal patterns of suEV protein signature and ce ...[more]

PMID: 33304478

Similar Datasets

Project description:Parental exposure to environmental stress can result in an increased diseases risk in the offspring. Although literature on maternal contribution to hereditary diseases are growing, the paternal contribution is frequently underrecognized. Since human studies reported that 80% of transmitted mutations arise in the paternal germline, it is crucial to understand the mechanism underlying the paternally inherited genome instability. Ionizing radiation (IR) is a major source of mutagenesis through inducing DNA double-strand breaks (DSBs). Here, we used sex-separated C. elegans mutants to investigate the paternal contribution to IR-induced transgenerational effects. Specifically, we found that paternal exposure to IR leads to a transgenerational embryonic lethality, and this effect is only observed when the radiation exposure occurred close to the time of fertilization. In the offspring of the irradiated males (F1 generation), we detected various genome instability phenotypes, including DNA fragmentation, chromosomal rearrangement, and aneuploidy. These phenotypes are attributed to the usage of two error-prone repair machinery, the polymerase-theta mediated end joining (TMEJ) and the non-homologous End Joining (NHEJ). Surprisingly, depletion of a human histone H1.0 ortholog, HIS-24, can significantly rescue this transgenerational embryonic lethality. Moreover, this rescue effect is associated with the downregulation of heterochromatin marker histone 3 lysine 9 di-methylation (H3K9me2), and the knocking-down of heterochromatin protein, HPL-1, could mimic the rescue effect of HIS-24 depletion. We also noticed that removal of the histone H1 and heterochromatin marker could activate the error-free repair machinery, Homologous Recombination repair (HR), thus improving the viability of the offspring carrying paternally inherited DNA damage. Altogether, our work sheds light on the importance of paternal radiation exposure on the health of offspring. In addition, our work establishes a previously unknown mechanism underlying the transgenerational genome instability and provides a potential therapeutic target for preventing the hereditary diseases caused by paternal radiation exposure.

Project description:INTRODUCTION Ischemia and reperfusion injury (IRI)-elicited tissue injury contributes to morbidity and mortality in a wide range of pathologies, including myocardial infarction, ischemic stroke, acute kidney injury, trauma, circulatory arrest 1. Ischemia-reperfusion injury is also a major challenge during organ transplantation and cardiothoracic, vascular and general surgery 1. IRI, one of the biggest challenges for organ transplantation, continues to be a vital source of morbidity among recipients, especially in liver transplantation 2. With the enlarging shortage of available donor livers, the increased use of extended criteria donor grafts further increases IRI, adversely affecting both short-term and long-term outcomes of graft and patient survival 3. Numerous studies have investigated the benefits of pharmacological, heat shock, and ischemic preconditioning interventions aimed at decreasing liver IRI 4. However, the benefit was limited. Our center has been making great effort in conquering IRI and have developed a novel surgical technique called ischemia-free liver transplantation 5. It is an ultimate method to overcome IRI in liver transplantation, but there is still a long way to popularize it. As a result, it is still of great significance to study IRI and identify the core genes in the process and the underlying mechanism. Comprehensive bioinformatics analysis has been increasingly important as a method to study various pathological and physiological condition 6. By enrolling multiple omics or combining different types of omics, comprehensive bioinformatics analysis was able to recognize key factors that could have potentially pathogenic impact such as gene expression, protein function, and downstream pathways. With the rapid development of high-throughput sequencing technologies, several transcriptomic datasets on IRI of liver transplantation have become available in the Gene Expression Omnibus (GEO) database. Herein, we recruited 3 GEO datasets to conduct comprehensive analysis with the GEO dataset from our center. Moreover, we performed the first proteome of liver tissues to study liver IRI. Then the transcriptome and proteome were used for combined analysis to reveal key factors in liver IRI.

Dataset Information

The proteomic landscape of small urinary extracellular vesicles during kidney transplantation

Publications

The proteomic landscape of small urinary extracellular vesicles during kidney transplantation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure