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The Assembly of miRNA-mRNA-protein Regulatory Networks Using High-throughput Expression Data (mRNA)

ABSTRACT: Analyze gene expression levels in primary trophoblasts, derived from term human placenta and cultured under standard or hypoxic conditions

ORGANISM(S): Homo sapiens

PROVIDER: GSE60432 | GEO | 2015/03/01

SECONDARY ACCESSION(S): PRJNA259358

REPOSITORIES: GEO

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The Assembly of miRNA-mRNA-protein Regulatory Networks Using High-throughput Expression Data (miRNA)

Project description:Analyze miRNA expression levels in primary trophoblasts, derived from term human placenta and cultured under standard or hypoxic conditions

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The Assembly of miRNA-mRNA-protein Regulatory Networks Using High-throughput Expression Data (miRNA)

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The Assembly of miRNA-mRNA-protein Regulatory Networks Using High-throughput Expression Data (mRNA)

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The assembly of miRNA-mRNA-protein regulatory networks using high-throughput expression data.

Project description:MotivationInference of gene regulatory networks from high throughput measurement of gene and protein expression is particularly attractive because it allows the simultaneous discovery of interactive molecular signals for numerous genes and proteins at a relatively low cost.ResultsWe developed two score-based local causal learning algorithms that utilized the Markov blanket search to identify direct regulators of target mRNAs and proteins. These two algorithms were specifically designed for integrated high throughput RNA and protein data. Simulation study showed that these algorithms outperformed other state-of-the-art gene regulatory network learning algorithms. We also generated integrated miRNA, mRNA, and protein expression data based on high throughput analysis of primary trophoblasts, derived from term human placenta and cultured under standard or hypoxic conditions. We applied the new algorithms to these data and identified gene regulatory networks for a set of trophoblastic proteins found to be differentially expressed under the specified culture conditions.

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The Assembly of miRNA-mRNA-protein Regulatory Networks Using High-throughput Expression Data

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

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Zika virus co-opts miRNA networks to persist in placental microenvironments detected by spatial transcriptomics [visium]

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