Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic of MKD (MUC1 kidney disease) patient compares to normal derived kidney epithelial cells

ABSTRACT: Transcriptomic of MKD (MUC1 kidney disease) patient compares to normal derived kidney epithelial cells

PROVIDER: PRJNA533239 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR8921510_1.fastq.gz	Fastqsanger.gz
	SRR8921510_2.fastq.gz	Fastqsanger.gz
	SRR8921511_1.fastq.gz	Fastqsanger.gz
	SRR8921511_2.fastq.gz	Fastqsanger.gz
	SRR8921512_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Transcriptomic of MKD (MUC1 kidney disease) patient compares to normal derived kidney epithelial cells

Project description:bulk RNAseq of MUC1 kidney disease patient derived kidney epithelial cells compare to normal kidney cells. The goal of this study was to elucidate the biological mechanism underlying MUC1 kidney disease using MUC1 expressing cells derived from either a patient or a healthy individual kidney

2019-04-18 | GSE129943 | GEO

MUC1(insC) affects vesicular transport in renal epithelial cells

Project description:Autosomal dominant tubulointerstitial kidney disease associated to the MUC1 gene (ADTKD-MUC1; formerly MCKD1) belongs to a heterogenous group of rare hereditary kidney diseases that is prototypically caused by frameshift mutations in the MUC1 repeat domain. The mutant MUC1(insC) lacks the transmembrane domaine, exhibits aberant cellular topology and hence might gain a function during the pathological process. To get insight into potential pathomechanisms we performed differential proteomics of extracellular vesicles shed by renal epithelia into the urine of patients. The study was based on three ADTKD patients and individual controls applying iTRAQ/LC-MS/MS. A total of 727 proteins were identified across all biological and technical replicates. A proportion of 47 proteins (6.5%) were fold-changed species. GO Term Enrichment analysis revealed proteins with significantly changed expression in ADTKD-associated extracellular vesicles as vesicular transport-associated proteins. Among these VTA1 is involved in the multivesicular body (MVB) pathway similar to the charged multivesicular body protein CHMP2B. VTA1 is also claimed to play roles as a cofactor of the AAA ATPases VPS4A and B in the disassembly of ESCRT III. Protein interaction databases list VPS4B, CHMP2A and IST1 as VTA1 binding partners.

2018-02-23 | PXD008389 | Pride

Effect of ER stress on MUC1 kidney disease patient derived cells and and treatment by BRD4780

Project description:Effect of ER stress on MUC1 kidney disease patient derived cells and and treatment by BRD4780

| PRJNA533240 | ENA

RNA sequencing in kidneys of MUC1 Kidney Disease mouse model with and without treatment

Project description:MUC1 kidney disease mouse model generated by knock-in of the human mutated MUC1-fs gene. The mice were treated for 7 days, daily with either vehicle control or BRD4780, a compound showed to be beneficial to disease cells in-vitro. The kidneys were then removed and the bulk RNA was sequenced. The goal of this study was to undersand the effect of the compound on the diseased kidneys and to gain insights to its mechanism of action.

2019-04-18 | GSE129941 | GEO

Effect of ER stress on MUC1 kidney disease patient derived cells and and treatment by BRD4780

Project description:immortalized patient derived kidney epithelial cell were compared to cells exposed to ER stress (thapsigargin) in the absence or present of BRD4780 treatment

2019-04-18 | GSE129942 | GEO

Sequencing the anti-MUC1 hybridoma antibody 139H2

Project description:Mucin 1 (MUC1) is a transmembrane mucin expressed at the apical surface of epithelial cells at different mucosal surfaces including breast and intestine. The MUC1 extracellular domain contains a variable number of tandem repeats (VNTR) of 20 amino acids, which are heavily O-linked glycosylated. Monoclonal antibodies against the MUC1 VNTR can be powerful tools because of their multiplicity of binding and possible applications in the diagnosis and treatment of MUC1-expressing cancers. One such antibody is the hybridoma mouse monoclonal 139H2 which is also widely used as a research tool to study non-cancer MUC1. Here we report direct mass spectrometry-based sequencing of hybridoma-derived 139H2 IgG, which enabled reverse engineering of a recombinant 139H2.

2024-03-18 | PXD043489 | Pride

Expression of genes in the spleen of WT and MUC1.Tg mice immunized with dendritic cells loaded with MUC1 peptide

Project description:Goal of study: To determine differentially expressed genes with potential roles in tolerance and immunity in MUC1-immunized WT and MUC1.Tg mice WT (C57Bl/6) and MUC1.Tg mice were immunized (i.v.) with dendritic cells loaded with sythetic, human MUC1 peptide. At 24h and 72h splenic RNA from vaccination groups (n=3) was pooled and microarray performed.

2013-01-16 | E-GEOD-43503 | biostudies-arrayexpress

MicroRNAs differentially expressed in MUC1 overexpressing cells

Project description:To determine if overexpression of MUC1 alters the microRNA profile of pancreatic cancer cells S2.013. Comparison of miRNAs differentially regulated in pancreatic cancer cell line S2.013 with and without MUC1 overexpression. MiRCURY LNA microarray was used to determine differential microRNA expression in one replicate of S2.013.Neo (control) cells compared to S2.013.MUC1 (experimental) cells. Confirmation with qRT-PCR was performed on a subset of microRNAs identified as differentially regulated between the two groups.

2013-08-10 | E-GEOD-48185 | biostudies-arrayexpress

Impact of E2 ubiquitin conjugating activity of MUC1 on gene expression

Project description:We identified a novel E2 ubiquitin conjugating activity within the C-terminus domain of MUC1. To determine if E2 ubiquitin conjugating activity of MUC1 is responsible for regulating expression of oncogenic genes we isolated RNA from vector control cells, MUC1 wildtype overexpression cells, and cells that express a serine mutant lacking E2 activity. RNA was isolated from each of the 3 cell lines, S2013.Neo, S2013.MUC1-WT, and S2013.MUC1-Ser. Gene expression was analyzed by spotted microarray and the differences in gene expression were calculated between the cell lines

2016-08-01 | E-GEOD-60339 | biostudies-arrayexpress

MUC1 triggers lineage plasticity of Her2 positive mammary tumor

Project description:The aberrant overexpression of mucin 1 (MUC1) and human epidermal growth factor receptor 2 (HER2) are often observed in breast cancer. However, the role of concomitant of MUC1/HERR2 in the development of breast cancer has not been fully illustrated. Following analysis public microarray datasets that revealed a correlation of double positive of MUC1 and HER2 to a worse clinical outcome, we generated a mouse model overexpressing both Her2 and MUC1 cytoplasmic domain (MUC1-CD) to investigate their interaction in mammary carcinogenesis. Coexpression of Her2 and MUC1-CD confers growth advantage and promotes the development of spontaneous mammary tumors. Genomic analysis uncovers that enforced expression of MUC1-CD and Her2 induces mammary tumor lineage plasticity which is supported by gene reprogramming and mammary stem cell enrichment. With gain- and loss-of function strategies, we show that coexpression of Her2 and MUC1-CD was associated with down-regulation of TCA cycle genes in tumors. Importantly, the reduction of TCA cycle genes induced by MUC1-CD is is significantly connected to the poor prognosis in HER2+ breast cancer patients. In addition, MUC1 augments Her2 signaling pathway by inducing Her2/Egfr dimerization. These findings collectively demonstrate the vital role of MUC1-CD/Her2 collaboration in shaping mammary tumor landscape and highlight the prognostic and therapeutic implication of MUC1 in patients with Her2+ breast cancer.

2022-03-10 | GSE198239 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data