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      OTUB1 Overexpression in Mesangial Cells Is a Novel Regulator in the Pathogenesis of Glomerulonephritis through the Decrease of DCN Level

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          Abstract

          Background

          OTUB1 is a member of OTUs (Ovarian-tumor-domain-containing proteases), a deubiquitinating enzymes family (DUBs), which was shown as a proteasome-associated DUB to be involved in the proteins Ub-dependent degradation. It has been reported that OTUB1 was expressed in kidney tissue. But its concrete cellular location and function in the kidney remain unclear. Decorin (DCN) in mesangial cells (MC) is considered to be a potentially important factor for antagonizing glomerulonephritides, and its degradation is mediated by ubiquitination. The aim of this study is to investigate the role of OTUB1 expression in MC and its relationship with DCN during glomerulonephritis.

          Methodology/Principal Findings

          Using quantitative RT-PCR and Western blot, we demonstrated that OTUB1 mRNA and protein were constitutively expressed in cultured rat MC and found to be upregulated by the stimulation of IL-1β or ATS. OTUB1 overexpression was detected in the mesangial area of glomeruli in some immunocomplex mediated nephritides such as IgA nephropathy, acute diffuse proliferative glomerulonephritis and lupus nephritis by immunohistochemistry. The immunoprecipitation assay demonstrated that OTUB1 interacted with DCN. The overexpression of OTUB1 enhanced the ubiquitination and degradation of DCN in MC.

          Conclusion/Significance

          These data showed the inflammatory injury could up-regulate OTUB1 expression in MC, which might attribute the promoting effect of OTUB1 on glomerulonephritides to the decrease of DCN level.

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          Most cited references32

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          A genomic and functional inventory of deubiquitinating enzymes.

          Posttranslational modification of proteins by the small molecule ubiquitin is a key regulatory event, and the enzymes catalyzing these modifications have been the focus of many studies. Deubiquitinating enzymes, which mediate the removal and processing of ubiquitin, may be functionally as important but are less well understood. Here, we present an inventory of the deubiquitinating enzymes encoded in the human genome. In addition, we review the literature concerning these enzymes, with particular emphasis on their function, specificity, and the regulation of their activity.
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            Mechanism and function of deubiquitinating enzymes.

            Attachment of ubiquitin to proteins is a crucial step in many cellular regulatory mechanisms and contributes to numerous biological processes, including embryonic development, the cell cycle, growth control, and prevention of neurodegeneration. In these diverse regulatory settings, the most widespread mechanism of ubiquitin action is probably in the context of protein degradation. Polyubiquitin attachment targets many intracellular proteins for degradation by the proteasome, and (mono)ubiquitination is often required for down-regulating plasma membrane proteins by targeting them to the vacuole (lysosome). Ubiquitin-protein conjugates are highly dynamic structures. While an array of enzymes directs the conjugation of ubiquitin to substrates, there are also dozens of deubiquitinating enzymes (DUBs) that can reverse the process. Several lines of evidence indicate that DUBs are important regulators of the ubiquitin system. These enzymes are responsible for processing inactive ubiquitin precursors, proofreading ubiquitin-protein conjugates, removing ubiquitin from cellular adducts, and keeping the 26S proteasome free of inhibitory ubiquitin chains. The present review focuses on recent discoveries that have led to a better understanding the mechanisms and physiological roles of this diverse and still poorly understood group of enzymes. We also discuss briefly some of the proteases that act on ubiquitin-like protein (UBL) conjugates and compare them to DUBs.
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              A standard curve based method for relative real time PCR data processing

              Background Currently real time PCR is the most precise method by which to measure gene expression. The method generates a large amount of raw numerical data and processing may notably influence final results. The data processing is based either on standard curves or on PCR efficiency assessment. At the moment, the PCR efficiency approach is preferred in relative PCR whilst the standard curve is often used for absolute PCR. However, there are no barriers to employ standard curves for relative PCR. This article provides an implementation of the standard curve method and discusses its advantages and limitations in relative real time PCR. Results We designed a procedure for data processing in relative real time PCR. The procedure completely avoids PCR efficiency assessment, minimizes operator involvement and provides a statistical assessment of intra-assay variation. The procedure includes the following steps. (I) Noise is filtered from raw fluorescence readings by smoothing, baseline subtraction and amplitude normalization. (II) The optimal threshold is selected automatically from regression parameters of the standard curve. (III) Crossing points (CPs) are derived directly from coordinates of points where the threshold line crosses fluorescence plots obtained after the noise filtering. (IV) The means and their variances are calculated for CPs in PCR replicas. (V) The final results are derived from the CPs' means. The CPs' variances are traced to results by the law of error propagation. A detailed description and analysis of this data processing is provided. The limitations associated with the use of parametric statistical methods and amplitude normalization are specifically analyzed and found fit to the routine laboratory practice. Different options are discussed for aggregation of data obtained from multiple reference genes. Conclusion A standard curve based procedure for PCR data processing has been compiled and validated. It illustrates that standard curve design remains a reliable and simple alternative to the PCR-efficiency based calculations in relative real time PCR.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                18 January 2012
                : 7
                : 1
                : e29654
                Affiliations
                [1]Key Laboratory of Molecular Medicine of Chinese Education Ministry, Department of Pathology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
                Sun Yat-sen University Medical School, China
                Author notes

                Conceived and designed the experiments: YZ HW Z. Zhang. Performed the experiments: YZ RH WJ YW Y. Song TJ HZ. Analyzed the data: YZ HW Z. Zhang. Contributed reagents/materials/analysis tools: YZ XM Y. Sun Z. Zhao. Wrote the paper: YZ Z. Zhang.

                Article
                PONE-D-11-12391
                10.1371/journal.pone.0029654
                3261153
                22279542
                3a5d4fe2-d5c4-4889-bfaf-343eadaebf5c
                Zhang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 4 July 2011
                : 1 December 2011
                Page count
                Pages: 9
                Categories
                Research Article
                Biology
                Biochemistry
                Genetics
                Model Organisms
                Animal Models
                Molecular Cell Biology
                Gene Expression
                Medicine
                Nephrology
                Oncology
                Cancers and Neoplasms
                Gynecological Tumors

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                Uncategorized

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