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Multiple gene variations contributed to congenital heart disease via GATA family transcriptional regulation

Overview of attention for article published in Journal of Translational Medicine, April 2017
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Title
Multiple gene variations contributed to congenital heart disease via GATA family transcriptional regulation
Published in
Journal of Translational Medicine, April 2017
DOI 10.1186/s12967-017-1173-0
Pubmed ID
Authors

Yanyan Qian, Deyong Xiao, Xiao Guo, Hongbo Chen, Lili Hao, Xiaojing Ma, Guoying Huang, Duan Ma, Huijun Wang

Abstract

Congenital heart disease (CHD) is a common birth defect, and most cases occur sporadically. Mutations in key genes that are responsible for cardiac development could contribute to CHD. To date, the genetic causes of CHD remain largely unknown. In this study, twenty-nine candidate genes in CHD were sequenced in 106 patients with Tetralogy of Fallot (TOF) using target exome sequencing (TES). The co-immunoprecipitation (CO-IP) and luciferase reporter gene assays were performed in HEK293T cells, and wild-type and mutant mRNA of ZFPM2 were microinjected into zebrafish embryos. Rare variants in key cardiac transcriptional factors and JAG1 were identified in the patients. Four patients carried multiple gene variants. The novel E1148K variant was located at the eighth Zinc-finger domain of FOG2 protein. The CO-IP assays in the HEK293T cells revealed that the variant significantly damaged the interaction between ZFPM2/FOG2 and GATA4. The luciferase reporter gene assays revealed that the E1148K mutant ZFPM2 protein displayed a significantly greater inhibition of the transcriptional activation of GATA4 than the wild-type protein. The wild-type mRNA and the E1148K mutant mRNA of ZFPM2 were injected into zebrafish embryos. At 48 hpf, in the mutant mRNA injection group, the number of embryos with an abnormal cardiac chamber structure and a loss of left-right asymmetry was increased. By 72 hpf, the defects in the chamber and left-right asymmetry became obvious. We performed TES in sporadic TOF patients and identified rare variants in candidate genes in CHD. We first validated the E1148 K variant in ZFPM2, which is likely involved in the pathogenesis of CHD via GATA4. Moreover, our results suggest that TES could be a useful tool for discovering sequence variants in CHD patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Student > Bachelor 7 15%
Unspecified 5 11%
Student > Ph. D. Student 4 9%
Student > Doctoral Student 3 6%
Other 12 26%
Unknown 9 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 21%
Medicine and Dentistry 7 15%
Agricultural and Biological Sciences 6 13%
Unspecified 5 11%
Engineering 2 4%
Other 3 6%
Unknown 14 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 13 June 2017.
All research outputs
#6,954,525
of 22,962,258 outputs
Outputs from Journal of Translational Medicine
#1,085
of 4,013 outputs
Outputs of similar age
#110,854
of 308,921 outputs
Outputs of similar age from Journal of Translational Medicine
#17
of 66 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,013 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 72% of its peers.
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 308,921 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.