Huang Wenrui, Kazmierczak Katarzyna, Zhou Zhiqun, Aguiar-Pulido Vanessa, Narasimhan Giri, Szczesna-Cordary Danuta
Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USA.
Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Arch Biochem Biophys. 2016 Jul 1;601:121-32. doi: 10.1016/j.abb.2016.02.022. Epub 2016 Feb 22.
Using microarray and bioinformatics, we examined the gene expression profiles in transgenic mouse hearts expressing mutations in the myosin regulatory light chain shown to cause hypertrophic cardiomyopathy (HCM). We focused on two malignant RLC-mutations, Arginine 58→Glutamine (R58Q) and Aspartic Acid 166 → Valine (D166V), and one benign, Lysine 104 → Glutamic Acid (K104E)-mutation. Datasets of differentially expressed genes for each of three mutants were compared to those observed in wild-type (WT) hearts. The changes in the mutant vs. WT samples were shown as fold-change (FC), with stringency FC ≥ 2. Based on the gene profiles, we have identified the major signaling pathways that underlie the R58Q-, D166V- and K104E-HCM phenotypes. The correlations between different genotypes were also studied using network-based algorithms. Genes with strong correlations were clustered into one group and the central gene networks were identified for each HCM mutant. The overall gene expression patterns in all mutants were distinct from the WT profiles. Both malignant mutations shared certain classes of genes that were up or downregulated, but most similarities were noted between D166V and K104E mice, with R58Q hearts showing a distinct gene expression pattern. Our data suggest that all three HCM mice lead to cardiomyopathy in a mutation-specific manner and thus develop HCM through diverse mechanisms.
利用微阵列和生物信息学技术,我们检测了在肌球蛋白调节轻链中表达导致肥厚型心肌病(HCM)突变的转基因小鼠心脏中的基因表达谱。我们重点研究了两种恶性RLC突变,即精氨酸58→谷氨酰胺(R58Q)和天冬氨酸166→缬氨酸(D166V),以及一种良性突变,赖氨酸104→谷氨酸(K104E)。将三种突变体各自的差异表达基因数据集与在野生型(WT)心脏中观察到的数据集进行比较。突变体与WT样本的变化以倍数变化(FC)表示,严格要求FC≥2。基于基因谱,我们确定了构成R58Q-、D166V-和K104E-HCM表型基础的主要信号通路。还使用基于网络的算法研究了不同基因型之间的相关性。具有强相关性的基因被聚类为一组,并为每个HCM突变体确定了中心基因网络。所有突变体中的总体基因表达模式与WT谱不同。两种恶性突变共享某些上调或下调的基因类别,但D166V和K104E小鼠之间的相似性最为明显,R58Q心脏表现出独特的基因表达模式。我们的数据表明,所有三种HCM小鼠均以突变特异性方式导致心肌病,因此通过多种机制发展为HCM。