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Gene expression network analysis reveals new transcriptional regulators as novel factors in human ischemic cardiomyopathy

Overview of attention for article published in BMC Medical Genomics, March 2015
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Title
Gene expression network analysis reveals new transcriptional regulators as novel factors in human ischemic cardiomyopathy
Published in
BMC Medical Genomics, March 2015
DOI 10.1186/s12920-015-0088-y
Pubmed ID
Authors

Isabel Herrer, Esther Roselló-Lletí, Ana Ortega, Estefanía Tarazón, María Micaela Molina-Navarro, Juan Carlos Triviño, Luis Martínez-Dolz, Luis Almenar, Francisca Lago, Ignacio Sánchez-Lázaro, José Ramón González-Juanatey, Antonio Salvador, Manuel Portolés, Miguel Rivera

Abstract

Ischemic cardiomyopathy (ICM) is characterized by transcriptomic changes that alter cellular processes leading to decreased cardiac output. Because the molecular network of ICM is largely unknown, the aim of this study was to characterize the role of new transcriptional regulators in the molecular mechanisms underlying the responses to ischemia. Myocardial tissue explants from ICM patients and control (CNT) subjects were analyzed by RNA-Sequencing (RNA-Seq) and quantitative Real-Time PCR. Enrichment analysis of the ICM transcriptomic profile allowed the characterization of novel master regulators. We found that the expression of the transcriptional regulators SP100 (-1.5-fold, p < 0.05), CITED2 (-3.8-fold, p < 0.05), CEBPD (-4.9-fold, p < 0.05) and BCL3 (-3.3-fold, p < 0.05) were lower in ICM than in CNT. To gain insights into the molecular network defined by the transcription factors, we identified CEBPD, BCL3, and HIF1A target genes in the RNA-Seq datasets. We further characterized the biological processes of the target genes by gene ontology annotation. Our results suggest that CEBPD-inducible genes with roles in the inhibition of apoptosis are downregulated and that BCL3-repressible genes are involved in the regulation of cellular metabolism in ICM. Moreover, our results suggest that CITED2 downregulation causes increased expression of HIF1A target genes. Functional analysis of HIF1A target genes revealed that hypoxic and stress response genes are activated in ICM. Finally, we found a significant correlation between the mRNA levels of BCL3 and the mRNA levels of both CEBPD (r = 0.73, p < 0.001) and CITED2 (r = 0.56, p < 0.05). Interestingly, CITED2 mRNA levels are directly related to ejection fraction (EF) (r = 0.54, p < 0.05). Our data indicate that changes in the expression of SP100, CITED2, CEBPD, and BCL3 affect their transcription regulatory networks, which subsequently alter a number of biological processes in ICM patients. The relationship between CITED2 mRNA levels and EF emphasizes the importance of this transcription factor in ICM. Moreover, our findings identify new mechanisms used to interpret gene expression changes in ICM and provide valuable resources for further investigation of the molecular basis of human cardiac ischemic response.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 21%
Student > Ph. D. Student 7 18%
Student > Master 6 15%
Student > Bachelor 4 10%
Librarian 2 5%
Other 4 10%
Unknown 8 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 23%
Agricultural and Biological Sciences 8 21%
Medicine and Dentistry 5 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Neuroscience 2 5%
Other 2 5%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 January 2016.
All research outputs
#16,173,005
of 24,598,501 outputs
Outputs from BMC Medical Genomics
#653
of 1,333 outputs
Outputs of similar age
#154,086
of 269,020 outputs
Outputs of similar age from BMC Medical Genomics
#13
of 16 outputs
Altmetric has tracked 24,598,501 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,333 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 269,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.