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Expression data from MCF10A cells treated with TGFβ for multiple time points [miRNA-4]

ABSTRACT: Expression data from MCF10A cells treated with TGFβ for multiple time points [miRNA-4]

PROVIDER: PRJNA798732 | ENA |

REPOSITORIES: ENA

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Expression data from MCF10A cells treated with TGFβ for multiple time points

Project description:Expression data from MCF10A cells treated with TGFβ for multiple time points

| PRJNA798738 | ENA

Expression data from MCF10A cells treated with TGFβ for multiple time points [HuGene-2_0]

Project description:Expression data from MCF10A cells treated with TGFβ for multiple time points [HuGene-2_0]

| PRJNA798688 | ENA

Expression data from MCF10A cells treated with TGFβ for multiple time points [scRNA-seq]

Project description:Expression data from MCF10A cells treated with TGFβ for multiple time points [scRNA-seq]

| PRJNA827807 | ENA

Expression data from MCF10A cells treated with TGFβ for multiple time points [miRNA-4]

Project description:We combine state-of-the-art data acquisition platforms and bioinformatics tools to devise PAMAF, a workflow that simultaneously examines twelve omics modalities, i.e., protein abundance from whole-cells, nucleus, exosomes, secretome and membrane; N-glycosylation, phosphorylation; metabolites; mRNA, miRNA; and, in parallel, single-cell transcriptomes. Here we apply PAMAF in an established in vitro model of TGFβ-induced epithelial to mesenchymal transition (EMT) to quantify >61,000 molecules from 12 omics and 10 timepoints over 12 days. Bioinformatics analysis of this EMT-ExMap resource allowed us to identify; –unexpected topological coupling between omics, –four distinct cell states during EMT (E, E/M-1, E/M-2, M), –omics-specific kinetic paths, –stage-specific multi-omics characteristics, –distinct regulatory classes of genes, –ligand–receptor mediated intercellular crosstalk using an innovative pipeline integrating scRNAseq and subcellular proteomics, and –novel combinatorial drug targets (e.g., Hedgehog signaling and CAMK-II) to inhibit EMT, which we validate using a 3D mammary duct-on-a-chip platform. Overall, while this study provides an unprecedented resource on TGFβ signaling and EMT, PAMAF-like workflows can be applied to generate comprehensive molecular landscapes of other multifaceted biological processes.

2022-11-11 | GSE194008 | GEO

Expression data from MCF10A cells treated with TGFβ for multiple time points [scRNA-seq]

2022-11-11 | GSE200981 | GEO

Expression data from MCF10A cells treated with TGFβ for multiple time points [HuGene-2_0]

2022-11-11 | GSE193985 | GEO

Expression data from MCF10A cells treated with TGFβ for multiple time points

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

2022-11-11 | GSE194019 | GEO

RNA-seq of MCF10A cells at 4 time points in 3 hours following EGF addition

Project description:Sequencing the nuclear RNA in MCF10A cells by RNA-seq at the 4 time points, 0, 30, 90, and 180 minutes following EGF addition.

2021-11-11 | E-MTAB-9881 | biostudies-arrayexpress

RNA-seq of MCF10A cells at 4 time points in 3 hours following EGF addition

Project description:RNA-seq of MCF10A cells at 4 time points in 3 hours following EGF addition

| PRJEB41820 | ENA

Effect of EGF and/or HER2 on the growth of MCF10A cells on extracellular matrix: time course

Project description:Mammary epithelial cells MCF10A and HER2 overexpressing MCF10A cells were grown on matrigel in the absence or presence of epidermal growth factor. Cells were lysed and RNA was collected at 1.5,3,5,7,9 days. Total 20 arrays from four time course experiments. MCF10A and MCF10A-HER2 (overexpressed HER2) were plated on Matrigel in the absence or presence of 20 ng/ml of EGF. This design creates four panels of experiments of 5 time points each.

2011-07-29 | E-GEOD-18938 | biostudies-arrayexpress

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