Expression data from cholangiocarcinoma cell lines with PTEN overexpression
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE146196 | GEO | 2020/03/03
REPOSITORIES: GEO
Similar Datasets
Project description:We established an assay to localize DNA-associated proteins that are slated for degradation by the ubiquitin-proteasome system. The genome-wide map we describe here ties proteolysis to active enhancer elements and to transcription start sites of specific gene families. ChIP-sequencing of ubiquitin and transcription factors was performed in the presence or absence of proteasome inhibition.
2013-12-01 | E-GEOD-33821 | biostudies-arrayexpress
Project description:Expression data from cholangiocarcinoma cell lines with PTEN overexpression
| PRJNA609687 | ENA
Project description:We found that GSCs were highly sensitive to proteasome inhibition due to an underlying dependency on an increased protein synthesis rate, and loss of autophagy, associated with PTEN loss and activation of the PI3K/mTOR pathway. In contrast, combinatory inhibition of autophagy and the proteasome, resulted in enhanced cytotoxicity specifically in GSCs that did express PTEN. Finally, proteasome inhibition specifically increased cell death markers in 3D glioblastoma organoids, suppressed tumor growth, and increased survival of mice orthotopically engrafted with GSCs. As perturbations of the PI3K/mTOR pathway occur in nearly 50% of GBMs, these findings suggest that a significant fraction of these tumors could be vulnerable to proteasome inhibition.
2020-12-29 | GSE163906 | GEO
Project description:Proctor2007 - Age related decline of proteolysis, ubiquitin-proteome system
This
is a stochastic model of the ubiquitin-proteasome system for a
generic pool of native proteins (NatP), which have a half-life of
about 10 hours under normal conditions. It is assumed that these
proteins are only degraded after they have lost their native
structure due to a damage event. This is represented in the model
by the misfolding reaction which depends on the level of reactive
oxygen species (ROS) in the cell. Misfolded proteins (MisP) are
first bound by an E3 ubiquitin ligase. Ubiquitin (Ub) is
activated by E1 (ubiquitin-activating enzyme) and then passed to
E2 (ubiquitin-conjugating enzyme). The E2 enzyme then passes the
ubiquitin molecule to the E3/MisP complex with the net effect
that the misfolded protein is monoubiquitinated and both E2 and
E3 are released. Further ubiquitin molecules are added in a
step-wise manner. When the chain of ubiquitin molecules is of
length 4 or more, the polyubiquitinated misfolded protein may
bind to the proteasome. The model also includes de-ubiquitinating
enzymes (DUB) which cleave ubiquitin molecules from the chain in
a step-wise manner. They work on chains attached to misfolded
proteins both unbound and bound to the proteasomes. Misfolded
proteins bound to the proteasome may be degraded releasing
ubiquitin. Misfolded proteins including ubiquitinated proteins
may also aggregate. Aggregates (AggP) may be sequestered
(Seq_AggP) which takes them out of harm's way or they may bind to
the proteasome (AggP_Proteasome). Proteasomes bound by aggregates
are no longer available for protein degradation.
Figure
2 and Figure 3 has been simulated using Gillespie2.
This model is described in the article:
An in silico model of the
ubiquitin-proteasome system that incorporates normal
homeostasis and age-related decline.
Proctor CJ, Tsirigotis M, Gray
DA.
BMC Syst Biol 2007; 1: 17
Abstract:
BACKGROUND: The ubiquitin-proteasome system is responsible
for homeostatic degradation of intact protein substrates as
well as the elimination of damaged or misfolded proteins that
might otherwise aggregate. During ageing there is a decline in
proteasome activity and an increase in aggregated proteins.
Many neurodegenerative diseases are characterised by the
presence of distinctive ubiquitin-positive inclusion bodies in
affected regions of the brain. These inclusions consist of
insoluble, unfolded, ubiquitinated polypeptides that fail to be
targeted and degraded by the proteasome. We are using a systems
biology approach to try and determine the primary event in the
decline in proteolytic capacity with age and whether there is
in fact a vicious cycle of inhibition, with accumulating
aggregates further inhibiting proteolysis, prompting
accumulation of aggregates and so on. A stochastic model of the
ubiquitin-proteasome system has been developed using the
Systems Biology Mark-up Language (SBML). Simulations are
carried out on the BASIS (Biology of Ageing e-Science
Integration and Simulation) system and the model output is
compared to experimental data wherein levels of ubiquitin and
ubiquitinated substrates are monitored in cultured cells under
various conditions. The model can be used to predict the
effects of different experimental procedures such as inhibition
of the proteasome or shutting down the enzyme cascade
responsible for ubiquitin conjugation. RESULTS: The model
output shows good agreement with experimental data under a
number of different conditions. However, our model predicts
that monomeric ubiquitin pools are always depleted under
conditions of proteasome inhibition, whereas experimental data
show that monomeric pools were depleted in IMR-90 cells but not
in ts20 cells, suggesting that cell lines vary in their ability
to replenish ubiquitin pools and there is the need to
incorporate ubiquitin turnover into the model. Sensitivity
analysis of the model revealed which parameters have an
important effect on protein turnover and aggregation kinetics.
CONCLUSION: We have developed a model of the
ubiquitin-proteasome system using an iterative approach of
model building and validation against experimental data. Using
SBML to encode the model ensures that it can be easily modified
and extended as more data become available. Important aspects
to be included in subsequent models are details of ubiquitin
turnover, models of autophagy, the inclusion of a pool of
short-lived proteins and further details of the aggregation
process.
This model is hosted on
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BIOMD0000000105.
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2024-09-02 | BIOMD0000000105 | BioModels
Project description:To investigate the novel functions of PTEN-L, we performed a Reverse Phase of Protein Array (RPPA) profiling on 468.Ctrl, 468.PTEN, and 468.PTEN-L sublines to compare cell signaling events between PTEN expression
2019-05-25 | GSE131746 | GEO
Project description:We established an assay to localize DNA-associated proteins that are slated for degradation by the ubiquitin-proteasome system. The genome-wide map we describe here ties proteolysis to active enhancer elements and to transcription start sites of specific gene families.
2013-12-01 | GSE33821 | GEO
Project description:We performed expression mouse profiling of prostates of 3 month WT, ERG, PTEN f/f and Pten f/f;ERG mice. For WT and ERG prostates, entire prostates were dissected and total RNA immediated harvested. For Pten f/f and Pten f/f;ERG prostates, the Ventral Lobe was dissected.
2013-05-10 | GSE46799 | GEO
Project description:We performed expression mouse profiling of prostates of 3 month WT, ERG, PTEN f/f and Pten f/f;ERG mice. For WT and ERG prostates, entire prostates were dissected and total RNA immediated harvested. For Pten f/f and Pten f/f;ERG prostates, the Ventral Lobe was dissected. Mice are in the C57B6 background. The prostate were harvested and RNA isolated by standard protocols and analyzed by expression profiling.
2013-05-10 | E-GEOD-46799 | biostudies-arrayexpress
Project description:Glioblastoma (GBM) is the most common primary brain tumor in adults with a median survival of approximately 15 months, therefore, more effective treatment options for GBM are required. To identify new drugs targeting glioblastomas, we performed a high throughput drug screen using patient-derived neurospheres cultured to preferentially retain their glioblastoma stem cell (GSC) phenotype.
High throughput drug screening was performed on GSCs followed by a second dose response assay of the 5 identified original hits. A PI3K/mTOR dependency to a proteasome inhibitor (carfilzomib), was confirmed by gain of function and loss of function experiments. Proteasome inhibition response signatures were derived from proteomic and bioinformatic analysis. Molecular mechanism of action was determined using in vitro 3-dimensional (3D) GBM organoid models and in vivo preclinical orthotopic GBM models.
We found that GSCs were highly sensitive to proteasome inhibition due to an underlying dependency on an increased protein synthesis rate, and loss of autophagy, associated with PTEN loss and activation of the PI3K/mTOR pathway. In contrast, combinatory inhibition of autophagy and the proteasome, resulted in enhanced cytotoxicity specifically in GSCs that did express PTEN. Finally, proteasome inhibition specifically increased cell death markers in 3D glioblastoma organoids, suppressed tumor growth, and increased survival of mice orthotopically engrafted with GSCs. As perturbations of the PTEN/ PI3K axis occur in nearly 50% of GBMs, these findings suggest that a significant fraction of these tumors could be vulnerable to proteasome inhibition.
2020-12-04 | MSV000086560 | MassIVE
Project description:We found that the isolated and expanded MCAM positive vCAF subpopulations significantly accelerated ICC growth. To further investigate the effect of vCAF on ICC cells (GFP-FRH or GFP-RBE), we co-cultured the vCAF with GFP ICC cells or ICC cells alone for seven days, then we sorted the GFP-FRH or GFP-RBE cells via FACS and conducted transcriptome microarray analysis of GFP ICC cells alone or vCAF co-cultured GFP-ICC cells.
2020-06-06 | GSE148773 | GEO