MicroRNA profiling of diverse endothelial cell types.

MicroRNA profiling of diverse endothelial cell types.
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DOI:
10.1186/1755-8794-4-78
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发表时间:
2011-11-02
影响因子:
2.7
通讯作者:
Halushka MK
Halushka MK
中科院分区:
医学3区
文献类型:
--
作者:
McCall MN;Kent OA;Yu J;Fox-Talbot K;Zaiman AL;Halushka MK

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MicroRNA是一种长度约为22-nt的调控RNA,是转录后基因调控的关键调节因子。内皮细胞(EC)中miRNAs的多样性以及这种多样性与上皮细胞和血液细胞的关系尚不清楚。我们研究了从主动脉(HAEC)、冠状动脉(HCEC)、脐静脉(HUVEC)、肺动脉(HPAEC)、肺微血管(HPMVEC)、真皮微血管(HDMVEC)和脑微血管(HBMVEC)培养的人EC的基线miRNA特征,以了解EC中miRNA表达的多样性。我们鉴定了166种表达的miRNA,其中3种miRNA(miR-99 b、miR-20 b和let-7 b)在EC类型之间差异显著,并预测了EC聚类。我们通过RT-PCR分析和Sylamer分析的第二个数据集证实了这些miRNA的意义。我们发现内皮细胞、上皮细胞和血液细胞之间的miRNAs具有广泛的多样性,其中99种miRNAs在细胞类型中共享,31种miRNAs在EC中独特。我们发现多顺反子miRNA染色体簇在给定的细胞类型内具有共同的表达水平。EC miRNA表达水平在EC类型中通常是一致的。三种microRNA在数据集中是可变的,表明可能影响EC表型差异的潜在调控变化。内皮细胞、上皮细胞和血液细胞中的miRNA表达区分了这些细胞类型。该数据建立了表征EC的不同miRNA特征的有价值的资源。
MicroRNAs are ~22-nt long regulatory RNAs that serve as critical modulators of post-transcriptional gene regulation. The diversity of miRNAs in endothelial cells (ECs) and the relationship of this diversity to epithelial and hematologic cells is unknown. We investigated the baseline miRNA signature of human ECs cultured from the aorta (HAEC), coronary artery (HCEC), umbilical vein (HUVEC), pulmonary artery (HPAEC), pulmonary microvasculature (HPMVEC), dermal microvasculature (HDMVEC), and brain microvasculature (HBMVEC) to understand the diversity of miRNA expression in ECs. We identified 166 expressed miRNAs, of which 3 miRNAs (miR-99b, miR-20b and let-7b) differed significantly between EC types and predicted EC clustering. We confirmed the significance of these miRNAs by RT-PCR analysis and in a second data set by Sylamer analysis. We found wide diversity of miRNAs between endothelial, epithelial and hematologic cells with 99 miRNAs shared across cell types and 31 miRNAs unique to ECs. We show polycistronic miRNA chromosomal clusters have common expression levels within a given cell type. EC miRNA expression levels are generally consistent across EC types. Three microRNAs were variable within the dataset indicating potential regulatory changes that could impact on EC phenotypic differences. MiRNA expression in endothelial, epithelial and hematologic cells differentiate these cell types. This data establishes a valuable resource characterizing the diverse miRNA signature of ECs.