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accession-icon GSE55304
Perinatal malnutrition in male mice influences gene expression in the next generation offspring: Potential role of epigenetics.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

Perinatal nutritional imbalances may have long-lasting consequences on health and disease, increasing risk of obesity, insulin resistance, type 2 diabetes or cardiovascular disease. This idea has been conceptualized in the Developmental Origins of Health and Disease Hypothesis (DOHaD). In addition, there is evidence that such early-programmed phenotypes can be transmitted to the following generation(s). It is proposed that, environmentally induced, transmission of disease risk is mediated by epigenetic mechanisms.

Publication Title

In utero undernutrition in male mice programs liver lipid metabolism in the second-generation offspring involving altered Lxra DNA methylation.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE29145
PKCz-mediated Gaq stimulation of the ERK5 pathway is involved in cardiac hypertrophy
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon

Description

Background: Gq-coupled G protein-coupled receptors (GPCR) mediate the actions of a variety of messengers that are key regulators of cardiovascular function. Enhanced Gaq-mediated signaling plays an important role in cardiac hypertrophy and in the transition to heart failure. We have recently described that Gaq acts as an adaptor protein that facilitates PKCz-mediated activation of ERK5 in epithelial cells. Since the ERK5 cascade is known to be involved in cardiac hypertrophy, we have investigated the potential relevance of this pathway in Gq-dependent signaling in cardiac cells.

Publication Title

Protein kinase C (PKC)ζ-mediated Gαq stimulation of ERK5 protein pathway in cardiomyocytes and cardiac fibroblasts.

Sample Metadata Fields

Sex, Age, Specimen part

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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