Similar Datasets
Project description:Transcriptional profiling of mProx24 in control, high glucose, high FFAs, hypoxia, triple stimuli and triple stimuli + Rapamycin
2018-12-15 | GSE76045 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2018-12-15 | GSE76046 | GEO
Project description:mProx24 cell: control vs diabetic condition
| PRJNA306051 | ENA
Project description:MicroRNAs (miRNAs) are functional RNA molecules which play important roles in the post-transcriptional regulation. miRNAs regulate their target genes by repressing translation or inducing degradation of the target genes' mRNAs. Many databases have been constructed to provide computationally predicted miRNA targets. However, they cannot provide the miRNA targets expressed in a specific tissue and related to a specific disease at the same time. Moreover, they cannot provide the common targets of multiple miRNAs and the common miRNAs of multiple genes at the same time. To solve these two problems, we construct a database called CSmiRTar (Condition-Specific miRNA Targets). CSmiRTar collects computationally predicted targets of 2588 human miRNAs and 1945 mouse miRNAs from four most widely used miRNA target prediction databases (miRDB, TargetScan, microRNA.org and DIANA-microT) and implements functional filters which allows users to search (i) a miRNA's targets expressed in a specific tissue or/and related to a specific disease, (ii) multiple miRNAs' common targets expressed in a specific tissue or/and related to a specific disease, (iii) a gene's miRNAs related to a specific disease, and (iv) multiple genes' common miRNAs related to a specific disease. We believe that CSmiRTar will be a useful database for biologists to study the molecular mechanisms of post-transcriptional regulation in human or mouse. CSmiRTar is available at http://cosbi.ee.ncku.edu.tw/CSmiRTar/ or http://cosbi4.ee.ncku.edu.tw/CSmiRTar/.
| S-EPMC5509330 | biostudies-other
Project description:Brännmark2013 - Insulin signalling in human adipocytes (diabetic condition)
The paper describes insulin signalling in human adipocytes under normal and diabetic states using mathematical models based on experimental data. This model corresponds to insulin signalling under diabetic condtion
This model is described in the article:
Insulin Signaling in Type 2 Diabetes: EXPERIMENTAL AND MODELING ANALYSES REVEAL MECHANISMS OF INSULIN RESISTANCE IN HUMAN ADIPOCYTES.
Brännmark C, Nyman E, Fagerholm S, Bergenholm L, Ekstrand EM, Cedersund G, Strålfors P.
J Biol Chem. 2013 Apr 5;288(14):9867-80.
Abstract:
Type 2 diabetes originates in an expanding adipose tissue that for unknown reasons becomes insulin resistant. Insulin resistance reflects impairments in insulin signaling, but mechanisms involved are unclear because current research is fragmented. We report a systems level mechanistic understanding of insulin resistance, using systems wide and internally consistent data from human adipocytes. Based on quantitative steady-state and dynamic time course data on signaling intermediaries, normally and in diabetes, we developed a dynamic mathematical model of insulin signaling. The model structure and parameters are identical in the normal and diabetic states of the model, except for three parameters that change in diabetes: (i) reduced concentration of insulin receptor, (ii) reduced concentration of insulin-regulated glucose transporter GLUT4, and (iii) changed feedback from mammalian target of rapamycin in complex with raptor (mTORC1). Modeling reveals that at the core of insulin resistance in human adipocytes is attenuation of a positive feedback from mTORC1 to the insulin receptor substrate-1, which explains reduced sensitivity and signal strength throughout the signaling network. Model simulations with inhibition of mTORC1 are comparable with experimental data on inhibition of mTORC1 using rapamycin in human adipocytes. We demonstrate the potential of the model for identification of drug targets, e.g. increasing the feedback restores insulin signaling, both at the cellular level and, using a multilevel model, at the whole body level. Our findings suggest that insulin resistance in an expanded adipose tissue results from cell growth restriction to prevent cell necrosis.
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2024-09-02 | BIOMD0000000449 | BioModels
Project description:reports shows that EOC cell under hypoxia condition shows high malignancy. So we use the Arraystar Human LncRNA Microarray V3.0 to verify the difference expression of LncRNA in the exosomes drived from skov-3 cells which cultured in nomor/hypoxia condition
2019-12-16 | GSE92498 | GEO
Project description:The repertoire of growth factors determines the biological engagement of human mesenchymal stromal cells (hMSCs) in processes such as immunomodulation and tissue repair. Hypoxia is a strong modulator of the secretome and well known stimuli to increase the secretion of pro-angiogenic molecules. In this manuscript, we employed a high throughput screening assay on an hMSCs cell line in order to identify small molecules that mimic hypoxia. Importantly, we show that the effect of these small molecules was cell type/species dependent, but we identified phenanthroline as a robust hit in several cell types. We show that phenanthroline induces high expression of hypoxia-target genes in hMSCs when compared with deferoxamine (DFO) (a.k.a desferrioxamine B, a known hypoxia mimic) and hypoxia incubator (2% O2). Interestingly, our microarray and proteomics analysis show that only phenanthroline induced high expression and secretion of another angiogenic cytokine, interleukin-8, suggesting that the mechanism of phenanthroline-induced hypoxia is distinct from DFO and hypoxia and involves the activation of other signaling pathways. We showed that phenanthroline alone was sufficient to induce blood vessel formation in a Matrigel plug assay in vivo paving the way to its application in ischeamic-related diseases.
2018-10-04 | E-MTAB-7209 | biostudies-arrayexpress
Project description:Hypoxia leads to significant changes at the histone modification marks, including increasing methylation of H3K4, H3K9 and H3K27. However, the overall effect on chromatin accessibility is not fully understood. Here, we employed an ATACseq method on PFA-fixed mouse glioma cell line GL261to test the genomewide chromatin accessibility changes in response to two hypoxic conditions: moderate hypoxia (1% O2) and severe hypoxia (<0.1% O2).
2023-03-05 | GSE200757 | GEO
Project description:Dendritic cells (DCs) are professional antigen-presenting cells whose activity is intrinsically linked to the microenvironment. Hypoxia is a condition of low oxygen tension occurring in inflammatory tissues that creates a special microenvironment conditioning cell physiology. We studied the effects of hypoxia on the differentiation of human monocytes into DCs. Immature DCs were differentiated in vitro from human monocytes under normoxic (iDCs) or hypoxic (Hi-DCs) conditions and the gene expression profile was determined. Hi-DCs expressed novel hypoxia-inducible genes and were characterized by up-regulation of pathways associated with cell movement/migration. Keywords: stress response, cell differentiation
2007-01-27 | GSE6863 | GEO
Project description:Dendritic cells (DCs) are professional antigen-presenting cells whose activity is intrinsically linked to the microenvironment. Hypoxia is a condition of low oxygen tension occurring in inflammatory tissues that creates a special microenvironment conditioning cell physiology. We studied the effects of hypoxia on the differentiation of human monocytes into DCs and maturation into mature DCs. Mature DCs were differentiated in vitro from human monocytes under normoxic or hypoxic conditions and the gene expression profile was determined. The expression profile of mature dendritic cells under normoxia vs hypoxia was studied. Three healthy donors were used as biologial replicates.
2010-12-31 | E-GEOD-22282 | biostudies-arrayexpress