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Expression data from isolated endothelial cells from glioblastoma and normal brain cultured as monolayer on gelatin and on Matrigel

ABSTRACT: Expression data from isolated endothelial cells from glioblastoma and normal brain cultured as monolayer on gelatin and on Matrigel

PROVIDER: PRJNA573737 | ENA |

REPOSITORIES: ENA

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Expression data from isolated endothelial cells from glioblastoma and normal brain cultured as monolayer on gelatin

Project description:Expression data from isolated endothelial cells from glioblastoma and normal brain cultured as monolayer on gelatin

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Expression data from isolated endothelial cells from glioblastoma and normal brain cultured as monolayer on gelatin

Project description:We compared gene expressions between CD31-positive cells from glioblastoma (TECs) and endothelial cells from normal brain (NECs) In this dataset, expression data obtained from Affymetrix Human Genome U219 Array (HG-U219) are presented.

2022-05-18 | GSE137900 | GEO

Expression data from isolated endothelial cells from glioblastoma and normal brain cultured as monolayer on gelatin and on Matrigel

Project description:This SuperSeries is composed of the SubSeries listed below.

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Expression data from SUM149 inflammatory breast cancer cells cultured in monolayer or Matrigel

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Expression data from isolated endothelial cells from glioblastoma and normal brain cultured on Matrigel

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Expression data from isolated endothelial cells from glioblastoma and normal brain cultured on Matrigel

2022-05-18 | GSE137901 | GEO

Single cell analysis of iPSC-derived cortical organoids in biofunctionalized gelatin hydrogels

Project description:Human neural organoid models have become an important tool for studying neurobiology. In this work, we compared Matrigel to an N-cadherin peptide-functionalized gelatin methacryloyl hydrogel (termed GelMA-Cad) for culturing cortical neural organoids. Specifically, we compare five materials: (1) Matrigel, (2) GelMA-Cad with high crosslinker (HC), (3) GelMA-Cad with low crosslinker (LC), (4) GelMA HC and (5) GelMA LC. We determined that both mechanical properties and peptide presentation can tune cell fate and diversity in gelatin-based matrices during differentiation. Of particular note, cortical organoids cultured in GelMA-Cad produce higher numbers of neurogenic and ciliated radial glia and upper-layer excitatory neurons—an important population for modeling neurodegenerative disease—compared to GelMA and Matrigel controls.

2024-02-28 | E-MTAB-13828 | biostudies-arrayexpress

Single cell analysis of iPSC-derived cortical organoids in biofunctionalized gelatin hydrogels

2024-07-01 | E-MTAB-14203 | biostudies-arrayexpress

HUVEC with/without VEGF-A treatment in 3D matrigel or 2D monoculture

Project description:To profile changes in gene expression in human endothelial cells in response to VEGF-A165 and phenotypic changes during vascular network formation in vitro 16 samples of human umbilical vein endothelial cells were analysized, four distinct biological samples were used in each condition. The four conditions included: VEGF treatment in Matrigel culture, Mock treatment in Matrigel culture, VEGF treatment in 2D monolayer, and mock treatment in 2D monolayer.

2015-06-30 | E-GEOD-53550 | biostudies-arrayexpress

RNA-seq analysis of mESCs cultured on either Laminin-511 or gelatin coated dishes in either Std or 2i medium

Project description:Some mouse embryonic stem cell (mESC) lines need to be maintained on feeder cells in gelatin/Std condition. To eliminate the need for feeder cells, we decided to maintain the C57BL6/J mESCs on dishes coated with Laminin-511 (LN511) enabling maintenance of mESCs without feeder cells in Std condition (Domogatskaya et al., 2008). To compare the transcriptomes of mESCs cultured on gelatin-coated dish and those cultured on Laminin-511 coated dish, we performed RNA-Seq analysis. We found that the transcriptomes of mESCs cultured on gelatin-coated dish and those cultured on LN511 coated dish showed no considerable difference in expression patterns.

2020-06-04 | GSE132591 | GEO

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