SUMOylation proteomic analysis of renal cortical collecting duct cells
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Q Exactive
ORGANISM(S): Mus Musculus (mouse)
TISSUE(S): Epithelial Cell
SUBMITTER: 
Qi Wu
LAB HEAD: Robert A. Fenton
PROVIDER: PXD013346 | Pride | 2019-10-07
REPOSITORIES: Pride
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| 1_GluC.raw | Raw | |||
| 1_GluC_170922190211.raw | Raw | |||
| 1_LysC_170922133107.raw | Raw | |||
| 1_LysC_170922171722.raw | Raw | |||
| CCD-S1.rar | Other |
Items per page: 5 1 - 5 of 55 |
Publications
SUMOylation Landscape of Renal Cortical Collecting Duct Cells.
Wu Qi Q Aroankins Takwa S TS Cheng Lei L Fenton Robert A RA
Journal of proteome research 20190918 10
Protein post-translational modification by the small ubiquitin-like modifier (SUMO) is a mechanism that allows a diverse response of cells to stress. Five SUMO family members, SUMO1-5, are expressed in mammals. We hypothesized that because kidney epithelial cells are often subject to stresses arising from various physiological conditions, multiple proteins in the kidney will be SUMOylated. Here, we profiled SUMO1- and SUMO2-modified proteins in a polarized epithelial cell model of the renal cort ...[more]
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Project description:Vasopressin is the major hormone that regulates renal water excretion. It does so by binding to a receptor in renal collecting duct cells, triggering signaling pathways that ultimately regulate the abundance, location, and activity of the water channel protein aquaporin 2. We took an advantage of quantitative large scale proteomic technologies and oligonucleotide microarrays to quantify steady state changes in protein and transcript abundances in response to vasopressin in a collecting duct cell line, mpkCCD clone 11 (Yu et al. PNAS 2009, 106:2441-2446). This cell line originally developed by Alan Vandewalle’s group recapitulates vasopressin-mediated AQP2 expression and phosphorylation as seen in native colleting duct cells. The mpkCCD cells were grown on membrane supports to permit polarization. Once transepithelial resistance reached 5kohm per centimeter square and higher, the cells were exposed to the vasopressin V2 receptor analog, dDAVP, at a physiological concentration, 0.1nM, for 5 days. Control experiments were done with cells exposed to vehicle alone. Total RNA was harvested and processed for transcript expression analysis using Affymetrix GeneChip Mouse Genome 430 2.0 Arrays. Each experimental treatment, vehicle and dDAVP, was repeated 3 times.
2010-12-09 | E-GEOD-19938 | biostudies-arrayexpress
Project description:We sequenced mRNAs and mapping the binding of RNA polymerase 2 in collecting duct cells treat with Vasopressin or vehicle. Confluent mpkCCD cell monolayers were maintained in serum-free medium for 24 h prior to treatment with or without 0.1 nM dDAVP in serum-free medium for 24 h. followed RNA polymerase 2 Chip seq.
2016-07-01 | E-GEOD-79525 | biostudies-arrayexpress
Project description:In mammals, the peptide hormone vasopressin controls renal water excretion, largely through its actions in the renal collecting duct to regulate the molecular water channel aquaporin-2 (AQP2). There are two modes of regulation: 1) short-term regulation by membrane trafficking; and 2) long-term regulation involving vasopressin-induced changes in the abundance of the aquaporin-2 protein. Defects in the long-term regulation have been implicated in multiple water balance disorders. With the objetive to identify genes that are transcriptionally regulated in response to vasopressin in cultured mouse collecting duct cells (mpkCCD), we carried out both RNA-seq to measure all transcripts (n=9) and ChIP-seq for RNA polymerase II (Polr2a) binding along the genome (n=3). Observations were made both after 24-hr treatment with the vasopressin analog dDAVP and with vehicle. Protocol:Confluent monolayers mpkCCD cells were washed in ice-cold 1X PBS (Ca+2/Mg+2-free) followed by cross-linking in 1.11% formaldehyde in Covaris Fixing Buffer (5.5 ml) for 5min at room temperature with gentle rocking (PN 520075, Covaris, Woburn, Massachusetts). Cross-linking was terminated by the addition of 0.3 ml of 1X Covaris Quenching Buffer with rocking. The buffer solution was aspirated and 1X ice-cold PBS was added to each plate. Cells were scraped into 15ml conical tubes, spun down (200 x g, 5 min), and washed twice with PBS. After the second wash, cell pellets were resuspended in 10 ml of 1X Covaris Lysis Buffer for 10 min at 4o C with rocking. Nuclei were pelleted by spinning at 1,700 x g for 5 min at 4o C. Nuclear pellets was resuspended in the 1X Covaris Wash Buffer and incubated for 10 mins at 4o C with rocking. Samples were spun at 1,700 x g for 5 min at 4o C. 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Samples were incubated overnight at 4°C with rotation, followed by addition of ChIP Grade Protein G Magnet Beads (Catalog #: 9006, Cell Signaling Technology) and incubation for 2 h at 4o C with rotation. The beads were washed a total of four times, including three low salt washes followed by one high salt wash for 5 mins/wash at 4o C (SimpleChIP protocol #9003, Cell Signaling Technology). Immunoprecipitated chromatin was eluted from the beads with 150 ul of 1X ChIP Elution Buffer for 30 mins at 65o C in a thermomixer. To reverse crosslinks, 6 ul of 5M NaCl and 2 ul of 20 ug/ul Proteinase K were added to the chromatin followed by incubation at 65o C overnight. DNA was purified according to SimpleChIP protocol #9003, Cell Signaling Technology. q-PCR. To check the success of the chromatin immunoprecipitation, input and ChIPâ??ed DNA samples were amplified with SYBR Green PCR Master Mix (Applied Biosystems) on a 7900HT Fast Real-Time PCR System. 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We combine RNA-seq and ChIP-seq to identify genes whose mRNA abundances change in tandem with changes in RNA polymerase II binding, as a mean to identify genes that are transcriptionally regulated in response to vasopressin. In addition, the pattern of RNA polymerase II binding along the gene provides important information about regulatory mechanisms. We identify two populations of genes regulated by vasopressin in mpkCCD cells, viz. 1) those with increases in transcript abundance and increases in RNA polymerase II binding throughout the gene body and; 2) genes that show increases in RNA polymerase II binding in the promotor proximal region but do not produce increases in transcript level. The former group is restricted to 35 genes and includes Aqp2. The latter group is made up of the majority of expressed genes and is presumably due to a widespread increase in transcriptional initiation without proportionate release of pausing.
2016-07-01 | E-GEOD-79573 | biostudies-arrayexpress
Project description:The mouse mpkCCD cell line is a continuous cultured epithelial cell line with characteristics of renal collecting duct principal cells. This line is widely used to study epithelial transport and its regulation. To provide a data resource useful for experimental design and interpretation in studies using mpkCCD cells, we have carried out 'deep' proteomic profiling of these cells using three levels of fractionation (differential centrifugation, SDS-PAGE, HPLC) followed by tandem mass spectrometry to identify and quantify proteins. The use of multiple levels of fractionation increases the ability to detect low abundance proteins. As a result, we identified 6766 proteins in mpkCCD cells at a high level of stringency. These proteins are expressed over 7 orders of magnitude of protein abundance. The data are provided to users as a public data base at https://helixweb.nih.gov/ESBL/Database/mpkFractions/. The MS data were mapped back to gel slices to generate 'virtual western blots' for each protein. For most of the 6766 proteins, the apparent molecular weight from SDS-PAGE agreed closely with the calculated molecular weight. However, a substantial fraction (>15%) of proteins were found to run aberrantly, either with much higher or much lower than predicted. These proteins were analyzed to identify mechanisms responsible for altered mobility on SDS-PAGE (high or low isoelectric point, high or low hydrophobicity, physiological cleavage, residence in the lysosome, post-translational modifications and expression of alternative isoforms due to alternative exon usage). Additionally, this analysis identified a previously unrecognized isoform of aquaporin-2 with apparent molecular weight <20 kD.
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2009-01-31 | E-GEOD-13667 | biostudies-arrayexpress
Project description:Ubiquitin and ubiquitin-like conjugation cascades consist of dedicated E1, E2 and E3 enzymes with E3s providing substrate specificity. Mass spectrometry-based approaches have enabled the identification of more than 60,000 acceptor sites for ubiquitin and 40,000 acceptor sites for SUMO2/3. However, E3-to-target wiring is poorly understood. The limited number of SUMO E3s provides the unique opportunity to systematically study E3-substrate wiring. We developed SUMO Activated Target Traps (SATTs) and, in the presence of proteasome inhibitor MG132,systematically identified substrates for eight different SUMO E3s, PIAS1, PIAS2, PIAS3, PIAS4, NSMCE2, ZNF451, LAZSUL(ZNF451-3) and ZMIZ2. SATTs enabled us to identify 427 SUMO1 and 961 SUMO2/3 targets in an E3-specific manner. We found pronounced E3 substrate preference, even at the substrate isoform level. Quantitative proteomics enabled us to measure substrate specificity of E3s, quantified using the SATT index. Furthermore, we developed the Polar SATTs web-based tool (https://amsterdamstudygroup.shinyapps.io/polarVolcaNoseR_revised/) to browse the dataset in an interactive manner, increasing the accessibility of this resource for the community. Overall, we uncover E3-to-target wiring of 1388 SUMO substrates, highlighting unique and overlapping sets of substrates for eight different SUMO E3 ligases.
2023-08-03 | PXD038326 | Pride
Project description:Genotoxicants have been used for decades as front-line therapies against cancer on the basis of their DNA-damaging actions. However, some of their non-DNA-damaging effects are also instrumental for killing dividing cells. We report here that the anthracycline Daunorubicin (DNR) but not the nucleoside analog Cytarabine, the two main drugs used to treat Acute Myeloid Leukemia (AML), induces rapid (3 hours) and broad transcriptional changes in AML cells. The regulated genes are particularly enriched in genes controlling cell proliferation and death, as well as inflammation and immunity. These transcriptional changes are preceded by DNR-dependent deSUMOylation of chromatin proteins, in particular at active promoters and enhancers. Surprisingly, accelerating deSUMOylation dampens DNR-induced transcriptional reprogramming. Quantitative proteomics shows that proteins that are deSUMOylated in response to DNR are mostly transcription factors, transcriptional co-regulators and chromatin organizers. Among them, the CCCTC-binding factor CTCF is highly enriched at SUMO-binding sites found in cis-regulatory regions. This is notably the case at the promoter of the DNR-induced NFKB2 gene. Although DNR does not modify CTCF binding on chromatin in general and at NFKB2 promoter in particular, it leads to a SUMO-dependent reconfiguration of chromatin loops engaging CTCF- and SUMO-bound NFKB2 promoter with distal cis-regulatory regions.
2023-06-23 | GSE231023 | GEO
Project description:Purpose: The goal of this study is to identify vasopressin-regulated genes in mouse kidney collecting duct cell line mpkCCD. To explore dynamic regulation of vasoressin-mediated transcriptional regulation, transcriptome of vasopressin-treated cells at four different time points (3h, 6h, 12h, and 24h) were profiled and analyzed. Methods: Total RNAs were isolated from vasopressin-treated mpkCCD cells at different time points (3h, 6h, 12h, and 24h). Three replicates for vehicle- or vasopressin-treated group were generated at each tested time point. cDNA libraries were prepared using a Nextera DNA library preparation protocol. The sequence reads from Illumina HiSeq3000 platform were qualified and quantified at the transcript level using Salmon (0.14.1). Differential expression analysis were performed using edgeR. Results: mRNA profiles of mouse kidney collecting duct mpkCCD cells treated with vasopressin analog (dDAVP) for four different time potins (3h, 6h, 12h, and 24h) were generated using an optimized RNA-Seq workflow. Transcript level quantification using a pseudo-alignment quantification method (Salmon) was performed to calculate transcript abundance in each sample. Then differential expression analysis identified the differentially expressed genes including Aqp2 gene at each time point comparison (dDAVP vs vehicle, FDR < 0.05). In addition, several new vasopressin-responsive genes that have not been elucidated before were identified. Conclusions: This study revealed dynamic changes of vasopressin-responsive gene expression within 24 hours in mouse kidney collecting duct cells. The results from time-course transcriptome profiling identified the known vasopressin-responsive genes and several novel gene that are regulated temporally.
2021-07-22 | GSE163566 | GEO