Confluent versus Sub-confluent HUVEC
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE9334 | GEO | 2007/12/01
SECONDARY ACCESSION(S): PRJNA103013
REPOSITORIES: GEO
Similar Datasets
Project description:In this study we examine the impact of cell confluency on gene expression. We focused on Argonaute (AGO) protein dynamics and associated gene and protein expression in HEK293, A375, and SHSY5Y cell lines. As a measure of cell confluency, we observed a profound translocation of AGO2 into the nucleus. Therefore, we generated transcriptomic data using RNA sequencing to compare gene expression in subconfluent versus confluent cells, which highlighted significant alterations in gene regulation patterns directly corresponding to changes in cell density. Our study also encompasses miRNA profiling data obtained through small RNA sequencing, revealing miRNA expressional changes dependent on cellular confluency, as well as cellular localization. Finally, we derived proteomic data from mass spectrometry analyses following AGO1-4 immunoprecipitation, providing a comprehensive view of AGO interactome in both nuclear and cytoplasmic compartments under varying confluency. These datasets offer a detailed exploration of the cellular and molecular dynamics, influenced by cell confluency, presenting a valuable resource for further research in cellular biology, particularly in understanding the basic mechanisms of cell density in cancer cells.
2024-04-19 | GSE255251 | GEO
Project description:This 121-node Boolean regulatory network model that synthesizes mechanosensitive signaling that links anchorage and matrix stiffness to proliferation and migration, and cell density to contact inhibition. It can reproduce anchorage dependence and anoikis, detachment-induced cytokinesis errors, the effect of matrix stiffness on proliferation, and contact inhibition of proliferation and migration by two mechanisms that converge on the YAP transcription factor. In addition, this model offers testable predictions related to cell cycle-dependent sensitivity to anoikis, the molecular requirements for abolishing contact inhibition, substrate stiffness-dependent expression of the catalytic subunit of PI3K, heterogeneity of migratory and non-migratory phenotypes in sub-confluent monolayers, and linked inhibition but semi-independent induction of proliferation versus migration as a function of cell density and mitogenic stimulation.
The model is an extended version of the growth signaling, cell cycle and apoptosis model published in Sizek et al, PLoS Comp. Biol. 15(3): e1006402, 2019.
2020-08-26 | MODEL2006170001 | BioModels
Project description:The similar response of endothelial cells to exogenous IL-33 or IL-1β prompted us to compare the genome-wide transcription profile of confluent human umbilical vein endothelial cell (HUVEC) cultures after 4 hours exposure to IL-33 or IL-1β. Analysis of these data revealed a striking similarity in the transcriptional response to the two cytokines.
2013-03-05 | GSE37624 | GEO
Project description:Increased awareness for the role for angiocrine factors in stem cell biology, in general, has suggested a role for angiocrine factors in the maintenance of GSC stemness and also there are reciprocal bi-directional signals from endothelial cells (ECs) to glioma (Gl261) and vice versa. To extend, refine and elucidate perfusion-independent modes of GBM-EC communication (i.e., distinguishing contact dependent or contact independent routes), we carried-out the following experiments: ECs from umbilical veins tagged with RFP (HUVEC-RFP) were cultured with mouse glioma line Gl261 fluorescently labelled with GFP (Gl261-GFP) until reaching confluency by 72 h post culturing. Cells were than harvested, RNA extracted, and the combined co-culture transcriptomes were sequenced from a generated cDNA library without prior separation of the respective cell types (sample named as Co). The Co transcriptome was compared to that of an artificial mixtures of the two cell types (Gl261-GFP and HUVEC-RFP) in the exact cells ratio attained by the end of the co-cluttering aided by FACS-based determination of the GFP/RFP ratio (Gl261:HUVEC - 3:1) attained by the end of the co-cluttering aided by FACS-based determination of the GFP/RFP ratio (sample named as Sep). In this procedure advantage was taken on the different species from which GBM and EC are derived and specialized bioinformatics tools allowing to unambiguously assign the transcripts to their respective GBM (mouse) or EC (human) origins, thereby circumventing confounding factors associated with cell purification
2022-04-01 | E-MTAB-9610 | biostudies-arrayexpress
Project description:Given previous works showing that, in the process of adipogenic differentiation of 3T3-L1 fibroblasts, the cells need to be cultured to confluency followed by additional incubation before initiating differentiation, we hypothesized that contact inhibition of proliferation (CIP) is requisite for making the cells prone to the differentiation. We screened upregulated genes in contact-inhibited 3T3-L1 fibroblasts, as well as NIH3T3 fibroblasts that are also sensitive to contact inhibition, by a whole genome microarray analysis. We also screened the genes that undergo rapid downregulation after the initiation of adipogenic differentiation. To investigate the mechanism of contact inhibition of proliferation and adipogenic differentiation of 3T3-L1 and NIH3T3 fibroblasts, we have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential to distinguish proliferating and contact-inhibited cells and cells that undergo adipogenic differentiation. Total RNAs from 80% confluent (3T3-L1_80%, NIH3T3_80%) and overconfluent (3T3-L1_overconfluent, NIH3T3_overconfluent) cells and cells stimulated with the adipogenic differentiation medium (ZenBio) for 2 hours (3T3-L1_adipo diff med 2 hours, NIH3T3_adipo diff med 2 hours) were harvested and subjected to the microarray analysis.
2015-05-28 | E-GEOD-69320 | biostudies-arrayexpress
Project description:Gene expression changes in subconfluent mouse aortic endothelial cells were compared with confluent endothelial cells. Compartmental analysis showed coordinater response in several endothelial-specific functions and organelles (endoplasmic reticulum, Golgi, lysosomes, peroxisomes) which were downregulated, and upregulation of the microtubular system and proliferation. Keywords = endothelium Keywords = confluent Keywords = subconfluent Keywords = organelles Keywords: other
2005-01-20 | GSE1576 | GEO
Project description:Whole transcriptome gene expression profiling of Normal -(HUVEC) Human Umbilical Vein Endothelial Cells The HUVEC gene expression results analyzed in this study are further described in Kustermann S. et al. (2014) A real-time impedance based screening assay for drug induced vascular leakage. A NimbleGen Homo sapiens Expression Array [100718_HG18_opt_expr] study using total RNA recovered from HUVECs grown until 80% confluency. Each microarray measures the expression level of 23,611 genes using 45,033 probe sets with three 60-mer probes (PM) per probe set. Each probe set is represented once on the array.
2014-01-07 | E-GEOD-52044 | biostudies-arrayexpress
Project description:We performed transcriptome analysis using DNA microarray in JPH203-treated HUVEC to elucidate endothelial cell response to LAT1 inhibition.
2024-08-04 | GSE202790 | GEO
Project description:To understand the transcripts regulated by inflammation and how this regulation may differ between different individuals, the transcriptome of HUVECs stimulated with inflammatory mediators was examined in 9 different individuals. In the study present here, HUVEC isolates from 9 different individuals were cultured until passage 4 in fully supplemented growth conditions. Passage 4 HUVEC isolates were then treated with a cocktail of inflammatory mediators (10ng/ml TNF-α, Il-1β, Il-8) for a period of 24 hours prior to RNA extraction. RNA was extracted and hybridised onto CodeLink microarrays. The expression profiles in the inflammatory mediator treated condition were examined along side a superset of the same biological replicates that were untreated (also submitted), to facilitate assessment of the resting transcriptome.
2011-07-19 | E-GEOD-23069 | biostudies-arrayexpress