Department of Biomedical Informatics, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Int J Mol Sci. 2022 Jun 30;23(13):7324. doi: 10.3390/ijms23137324.
MicroRNAs (miRNAs) regulate multiple transcripts and thus shape the expression landscape of a cell. Information about miRNA expression and distribution across cell types is crucial for the understanding of miRNAs' functions and their translational applications as biomarkers or therapeutic targets. In this study, we identify cell-type-specific miRNAs by combining multiple correspondence analysis and Gini coefficients to dissect miRNAs' expression profiles and chromatin activity score profiles, which results in collections of chromatin activity-specific miRNAs in 91 cell types and expression-specific miRNAs in 124 cell types. Moreover, we find that cell-type-specific miRNAs are closely associated with disease miRNAs, such as T-cell-specific miRNAs, which are closely associated with cancer prognosis. Finally, we constructed mirCellType, an online tool based on cell-type-specific miRNA signatures, to dissect the cell type composition of complex samples with miRNA expression profiles.
微小 RNA（miRNAs）调节多个转录本，从而塑造细胞的表达谱。了解 miRNA 在细胞类型中的表达和分布对于理解 miRNA 的功能及其作为生物标志物或治疗靶点的转化应用至关重要。在这项研究中，我们通过组合多元对应分析和基尼系数来识别细胞类型特异性 miRNAs，以剖析 miRNAs 的表达谱和染色质活性评分谱，从而在 91 种细胞类型中获得了一系列染色质活性特异性 miRNAs，在 124 种细胞类型中获得了表达特异性 miRNAs。此外，我们发现细胞类型特异性 miRNAs 与疾病 miRNA 密切相关，如 T 细胞特异性 miRNAs，与癌症预后密切相关。最后，我们构建了 mirCellType，这是一个基于细胞类型特异性 miRNA 特征的在线工具，用于剖析具有 miRNA 表达谱的复杂样本的细胞类型组成。
