Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The anti-angiogenic and anti-tumor cell signaling networks of the kringle 1 domain of hepatocyte growth factor (HGFK1)

ABSTRACT: Previously, we have demonstrated that the recombinant adeno-associated virus carrying the kringle domain 1 of hepatocyte growth factor (rAAV-HGFK1) gene is a potential anti-angiogenic approach for the treatment of hepatocellular carcinoma (HCC) and exerts direct inhibition effects on tumor cells. Here, using genome-wide expression profiling technology, coupled with RT-PCR validation, we investigated the differentially expressed genes and proposed the mechanisms involved in HGFK1 anti-angiogenic and anti-tumor cell signaling networks. Keywords: HGFK1, anti-angiogenic signaling network, anti-tumor cell signaling network Microarray probe sets which were at least 2-fold changed upon rAAV-HGFK1 treatment when compared to rAAV-EGFP (baseline control) treatment on the cells are considered as differentially expressed genes (DEGs). The differentially expressed genes were analyzed using two software tools, namely PathwayArchitect (version 1.0.0) (www.strategene.com) and Ingenity Pathways Analysis (version 5.0) (http://www.ingenuity.com/index.html). They are designed to assist microarray data analysis and provide visualization of biological pathways, gene regulation networks and protein-protein interactions to users. The signaling networks proposed above were manually determined and created based on the relevant findings in literature provided by the software tools.

ORGANISM(S): Rattus norvegicus

SUBMITTER: Wing-Sze Leung

PROVIDER: E-GEOD-10854 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

The anti-angiogenic and anti-tumor cell signaling networks of the kringle 1 domain of hepatocyte growth factor (HGFK1)

Project description:Previously, we have demonstrated that the recombinant adeno-associated virus carrying the kringle domain 1 of hepatocyte growth factor (rAAV-HGFK1) gene is a potential anti-angiogenic approach for the treatment of hepatocellular carcinoma (HCC) and exerts direct inhibition effects on tumor cells. Here, using genome-wide expression profiling technology, coupled with RT-PCR validation, we investigated the differentially expressed genes and proposed the mechanisms involved in HGFK1 anti-angiogenic and anti-tumor cell signaling networks. Keywords: HGFK1, anti-angiogenic signaling network, anti-tumor cell signaling network

2009-11-30 | GSE10854 | GEO

The anti-angiogenic and anti-tumor cell signaling networks of the kringle 1 domain of hepatocyte growth factor (HGFK1)

Project description:The anti-angiogenic and anti-tumor cell signaling networks of the kringle 1 domain of hepatocyte growth factor (HGFK1)

| PRJNA107351 | ENA

Yazdjer2019 - reinforcement learning-based control of tumor growth under anti-angiogenic therapy

Project description:This model is based on: Reinforcement learning-based control of tumor growth under anti-angiogenic therapy Authors: Parisa Yazdjerdi, Nader Meskin, Mohammad Al-Naemi, Ala-Eddin Al Moustafa, Levente Kovacs Abstract: Background and objectives: In recent decades, cancer has become one of the most fatal and destructive diseases which is threatening humans life. Accordingly, different types of cancer treatment are studied with the main aim to have the best treatment with minimum side effects. Anti-angiogenic is a molecular targeted therapy which can be coupled with chemotherapy and radiotherapy. Although this method does not eliminate the whole tumor, but it can keep the tumor size in a given state by preventing the formation of new blood vessels. In this paper, a novel model-free method based on reinforcement learning (RL) framework is used to design a closed-loop control of anti-angiogenic drug dosing administration. Methods: A Q-learning algorithm is developed for the drug dosing closed-loop control. This controller is designed using two different values of the maximum drug dosage to reduce the tumor volume up to a desired value. The mathematical model of tumor growth under anti-angiogenic inhibitor is used to simulate a real patient. Results: The effectiveness of the proposed method is shown through in silico simulation and its robustness to patient parameters variation is demonstrated. It is demonstrated that the tumor reaches its minimal volume in 84 days with maximum drug inlet of 30 mg/kg/day. Also, it is shown that the designed controller is robust with respect to  ± 20% of tumor growth parameters changes. Conclusion: The proposed closed-loop reinforcement learning-based controller for cancer treatment using anti-angiogenic inhibitor provides an effective and novel result such that with a clinically valid and safe dosage of drug, the volume reduces up to 1mm3 in a reasonable short period compared to the literature.

2024-09-02 | BIOMD0000000821 | BioModels

Isolation and Characterization of ZK002, A Novel Dual Function Snake Venom Peptide from Deinagkistrodon acutus with Anti-angiogenic and Anti-inflammatory Properties

Project description:Pathological angiogenesis, the abnormal or excessive generation of blood vessels, plays an important role in many diseases including cancer, diabetic retinopathy, psoriasis, and arthritis. Additionally, increasing evidence supports the close linkage between angiogenesis and inflammation. Snake venoms are a rich natural source of biologically active molecules and carry rich potential for the discovery anti-angiogenic and anti-inflammatory modulators. Here, we isolated and purified a novel protein, ZK002, from the venom of the snake Deinagkistrodon acutus, and investigated its anti-angiogenic and anti-inflammatory activities and mechanisms.

2023-10-24 | PXD037093 | Pride

Extracellular vimentin mimics VEGF and is a target for anti-angiogenic immunotherapy

Project description:Anti-angiogenic anticancer therapies possess immune-stimulatory properties by counteracting pro-angiogenic molecular mechanisms. We report that tumor endothelial cells ubiquitously overexpress and secrete the intermediate filament protein vimentin through type III unconventional mechanisms. Extracellular vimentin is pro-angiogenic and functionally mimics VEGF action, while concomitantly acting as inhibitor of leukocyte-endothelial interactions. Targeting of extracellular vimentin presents a promising anti-angiogenic immunotherapy strategy against cancer. Here we describe profiling of the HUVEC (Human Umbilical Vein Endothelial Cell) proteome, with special emphasis on vimentin (variants) in the different fractions. We have evidence that vimentin is externalized and deposited in the matrix of cultured cells and is as such available for targeted antiangiogenic therapeutics. The aim of the experiment is to determine the protein variants of vimentin in the cell, the secretome, and in the matrix deposited by the cells.

2022-03-29 | PXD024426 | Pride

AAV vector-mediated in vivo miRNA antagonism for studying miRNA function and treating dyslipidemia

Project description:Understanding the function of individual miRNA species in mice would require the production of hundreds of loss-of-function strains. To accelerate analysis of miRNA biology in mammals, we combined recombinant adeno-associated virus (rAAV) vectors with miRNA ‘Tough Decoys’ (TuDs) to inhibit specific miRNAs. Intravenous injection of rAAV9 expressing anti-miR-122 or anti-let-7 TuD depleted the corresponding miRNA and increased its mRNA targets. rAAV producing anti-miR-122—but not anti-let-7—TuD reduced serum cholesterol by 40% for 18 weeks in wild-type mice and reduced serum LDL by 50% in LDL receptor-deficient mice. High throughput sequencing of liver miRNAs from the treated mice confirmed that the targeted miRNA, but no other miRNAs, were depleted and revealed that TuD RNAs induce miRNA tailing and trimming in vivo. rAAV-mediated miRNA inhibition thus provides a simple way to study miRNA function in adult mammals and a potential therapy for dyslipidemia and other diseases caused by miRNA deregulation. Examining the effect of Tough Decoy miRNA inhibitors on miRNA stability and integrity

2011-12-10 | E-GEOD-25971 | biostudies-arrayexpress

Whole-transcriptome profiling of neovascularized corneas reveal miR-204 as a potent biotherapy deliverable by rAAVs [nCounter - microRNAs]

Project description:Current drugs that directly target pro-angiogenic factors to inhibit or reverse corneal neovascularization, the major sight-threatening pathology caused by angiogenic stimuli, require multiple rounds of administration and have limited efficacies. Here we report the profiling of anti-angiogenic corneal microRNAs (miRNAs), and a framework that employs discovered miRNAs as biotherapies deliverable by recombinant adeno-associated viruses (rAAVs). By querying differentially expressed miRNAs in neovascularized mouse corneas induced by alkali-burn, we have revealed 39 miRNAs that are predicted to target more than 5,500 differentially expressed corneal mRNAs. Among these corneal miRNAs, we selected miR-204 and assessed its efficacy as a therapeutic miRNA in injured corneas. Our results show that delivery of miR-204 by rAAV is efficacious and safe for mitigating corneal NV. Overall, our work demonstrates the discovery of therapeutic miRNAs in corneal disorders and their translation into viable clinical vectors.

2018-10-26 | GSE89536 | GEO

Whole-transcriptome profiling of neovascularized corneas reveal miR-204 as a potent biotherapy deliverable by rAAVs [RNA-Seq]

2018-10-26 | GSE89537 | GEO

Mast cells decrease efficacy of anti-angiogenic therapy by secreting matrix-degrading granzyme B

Project description:Resistance towards anti-angiogenic therapy (AAT) still represents a substantial clinical challenge. We report here that tumor-infiltrating mast cells (MC) are powerful mediators decreasing efficacy of AAT in mice and cancer patients. They act in a cell-extrinsic manner by secreting granzyme B, which liberates pro-angiogenic mediators from the extracellular matrix. In addition, MC also diminish efficacy of anti-angiogenic agents in a cell-autonomous way, which can be blocked by the mast cell degranulation inhibitor cromolyn. Our findings are relevant in humans because patients harboring higher numbers of MC in their tumors have an inferior outcome after anti-angiogenic treatment in the Gepar Quinto randomized Phase 3 clinical trial. Thus, MC-targeting might represent a novel promising approach to increase efficacy of AAT.

2017-09-15 | GSE89395 | GEO

Polycomb dysregulation in gliomagenesis targets a Zfp423-dependent differentiation network [ChIP-Seq]

Project description:Malignant gliomas constitute one of the most significant areas of unmet medical need, due to the invariable failure of surgical eradication and their marked molecular heterogeneity. Accumulating evidence has revealed a critical contribution by the Polycomb axis of epigenetic repression. However, a coherent understanding of the regulatory networks affected by Polycomb during gliomagenesis is still lacking. Here we integrate transcriptomic and epigenomic analyses to define Polycomb-dependent networks that promote gliomagenesis, validating them both in two independent mouse models and in a large cohort of human samples. We found that Polycomb dysregulation in gliomagenesis affects transcriptional networks associated to invasiveness and de-differentiation. The dissection of these networks uncovers Zfp423 as a crtitical Polycomb-dependent transcription factor whose silencing negatively impacts survival. The anti-gliomagenic activity of Zfp423 requires interaction with the SMAD proteins within the BMP signaling pathway, pointing to a novel synergic circuit through which Polycomb inhibits BMP signaling. Analysis of H3K27me3 distribition in two different stages of gliomagenesis

2016-03-02 | E-GEOD-76289 | biostudies-arrayexpress

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