Akt1/Protein Kinase B Enhances Transcriptional Reprogramming of Fibroblasts to Functional Cardiomyocytes
Transcriptomics Dataset
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General Information
AccessionGSE68509
TitleAkt1/Protein Kinase B Enhances Transcriptional Reprogramming of Fibroblasts to Functional Cardiomyocytes
DescriptionConversion of fibroblasts to functional cardiomyocytes represents a potential approach for restoring cardiac function following myocardial injury, but the technique thus far has been slow and inefficient. To improve the efficiency of reprogramming fibroblasts to cardiac-like myocytes (iCMs) by cardiac transcription factors (Gata4, Hand2, Mef2c, and Tbx5=GHMT), we screened 192 protein kinases and discovered that Akt/protein kinase B dramatically accelerates and amplifies this process. Approximately 50%% of reprogrammed fibroblasts displayed spontaneous beating after three weeks of induction by Akt plus GHMT. Furthermore, addition of Akt1 to GHMT evoked a more mature cardiac phenotype for iCMs, as seen by enhanced polynucleation, cellular hypertrophy, gene expression, and metabolic reprogramming. Igf1 and Pi3 kinase acted upstream of Akt, whereas mTORC1 and Foxo3a acted downstream of Akt to influence fibroblast-to-cardiomyocyte reprogramming. These findings provide new insights into the molecular basis of cardiac reprogramming and represent an important step toward further application of this technique.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE68509
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE68509
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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