Yang F, etal., Cardiovasc Res. 2014 Jul 15;103(2):228-37. doi: 10.1093/cvr/cvu134. Epub 2014 May 27.
AIMS: Cardiac structural genes have been implicated as causative factors for congenital heart diseases (CHDs). NEXN is an F-actin binding protein and previously identified as a disease gene causing cardiomyopathies. Whether NEXN
pan> contributes to CHDs aetiologically remains unknown. Here, we explored the function of NEXN in cardiac development. METHODS AND RESULTS: First, we determine the role of NEXN in cardiac differentiation using mouse P19cl6 in vitro model; we demonstrated that NEXN inhibited cardiac contractile markers, serving as a negative regulator. Interestingly, we found this effect was mediated by GATA4, a crucial transcription factor that controls cardiac development by knockdown, overexpression, and rescue experiment, respectively. We then generated transgenic mouse models and surprisingly, we discovered cardiac-selective expression of the NEXN gene caused atrial septal defects (ASDs). Next, to search for the mutations in NEXN gene in patients suffering from ASDs, we sequenced the exon and exon-intron joint regions of the NEXN gene in 150 probands with isolated ASDs and identified three mutations in the conserved region of NEXN (c.-52-78C>A, K199E, and L227S), which were not found in 500 healthy controls. Finally, we characterize the related mechanisms and found all mutations inhibited GATA4 expression. CONCLUSION: We identify NEXN as a novel gene for ASD and its function to inhibit GATA4 established a critical regulation of an F-actin binding protein on a transcription factor in cardiac development.
Wang H, etal., Am J Hum Genet. 2010 Nov 12;87(5):687-93. doi: 10.1016/j.ajhg.2010.10.002. Epub 2010 Oct 21.
Hypertrophic cardiomyopathy (HCM), the most common inherited cardiac disorder, is characterized by increased ventricular wall thickness that cannot be explained by underlying conditions, cadiomyocyte hypertrophy and disarray, and increased myocardial fibrosis. In as many as 50% of HCM cases, the gen
etic cause remains unknown, suggesting that more genes may be involved. Nexilin, encoded by NEXN, is a cardiac Z-disc protein recently identified as a crucial protein that functions to protect cardiac Z-discs from forces generated within the sarcomere. We screened NEXN in 121 unrelated HCM patients who did not carry any mutation in eight genes commonly mutated in myofilament disease. Two missense mutations, c.391C>G (p.Q131E) and c.835C>T (p.R279C), were identified in exons 5 and 8 of NEXN, respectively, in two probands. Each of the two mutations segregated with the HCM phenotype in the family and was absent in 384 control chromosomes. In silico analysis revealed that both of the mutations affect highly conserved amino acid residues, which are predicted to be functionally deleterious. Cellular transfection studies showed that the two mutations resulted in local accumulations of nexilin and that the expressed fragment of actin-binding domain containing p.Q131E completely lost the ability to bind F-actin in C2C12 cells. Coimmunoprecipitation assay indicated that the p.Q131E mutation decreased the binding of full-length NEXN to alpha-actin and abolished the interaction between the fragment of actin-binding domain and alpha-actin. Therefore, the mutations in NEXN that we describe here may further expand the knowledge of Z-disc genes in the pathogenesis of HCM.
Yuan H, etal., Sci Rep. 2016 Oct 7;6:34234. doi: 10.1038/srep34234.
Lung cancer etiology is multifactorial, and growing evidence has indicated that long non-coding RNAs (lncRNAs) are important players in lung carcinogenesis. We performed a large-scale meta-analysis of 690,564 SNPs in 15,531 autosomal lncRNAs by using datasets from six previously published genome-wid
e association studies (GWASs) from the Transdisciplinary Research in Cancer of the Lung (TRICL) consortium in populations of European ancestry. Previously unreported significant SNPs (P value < 1 x 10-7) were further validated in two additional independent lung cancer GWAS datasets from Harvard University and deCODE. In the final meta-analysis of all eight GWAS datasets with 17,153 cases and 239,337 controls, a novel risk SNP rs114020893 in the lncRNA NEXN-AS1 region at 1p31.1 remained statistically significant (odds ratio = 1.17; 95% confidence interval = 1.11-1.24; P = 8.31 x 10-9). In further in silico analysis, rs114020893 was predicted to change the secondary structure of the lncRNA. Our finding indicates that SNP rs114020893 of NEXN-AS1 at 1p31.1 may contribute to lung cancer susceptibility.