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间质性肺疾病的系统生物学:mRNA 和 microRNA 表达变化的整合。

Systems biology of interstitial lung diseases: integration of mRNA and microRNA expression changes.

机构信息

Institute for Systems Biology, Seattle, WA, USA.

出版信息

BMC Med Genomics. 2011 Jan 17;4:8. doi: 10.1186/1755-8794-4-8.

DOI:10.1186/1755-8794-4-8
PMID:21241464
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3035594/
Abstract

BACKGROUND

The molecular pathways involved in the interstitial lung diseases (ILDs) are poorly understood. Systems biology approaches, with global expression data sets, were used to identify perturbed gene networks, to gain some understanding of the underlying mechanisms, and to develop specific hypotheses relevant to these chronic lung diseases.

METHODS

Lung tissue samples from patients with different types of ILD were obtained from the Lung Tissue Research Consortium and total cell RNA was isolated. Global mRNA and microRNA were profiled by hybridization and amplification-based methods. Differentially expressed genes were compiled and used to identify critical signaling pathways and potential biomarkers. Modules of genes were identified that formed a regulatory network, and studies were performed on cultured cells in vitro for comparison with the in vivo results.

RESULTS

By profiling mRNA and microRNA (miRNA) expression levels, we found subsets of differentially expressed genes that distinguished patients with ILDs from controls and that correlated with different disease stages and subtypes of ILDs. Network analysis, based on pathway databases, revealed several disease-associated gene modules, involving genes from the TGF-β, Wnt, focal adhesion, and smooth muscle actin pathways that are implicated in advancing fibrosis, a critical pathological process in ILDs. A more comprehensive approach was also adapted to construct a putative global gene regulatory network based on the perturbation of key regulatory elements, transcription factors and microRNAs. Our data underscores the importance of TGF-β signaling and the persistence of smooth muscle actin-containing fibroblasts in these diseases. We present evidence that, downstream of TGF-β signaling, microRNAs of the miR-23a cluster and the transcription factor Zeb1 could have roles in mediating an epithelial to mesenchymal transition (EMT) and the resultant persistence of mesenchymal cells in these diseases.

CONCLUSIONS

We present a comprehensive overview of the molecular networks perturbed in ILDs, discuss several potential key molecular regulatory circuits, and identify microRNA species that may play central roles in facilitating the progression of ILDs. These findings advance our understanding of these diseases at the molecular level, provide new molecular signatures in defining the specific characteristics of the diseases, suggest new hypotheses, and reveal new potential targets for therapeutic intervention.

摘要

背景

涉及间质性肺病(ILDs)的分子途径知之甚少。采用系统生物学方法和全局表达数据集来识别失调的基因网络,以深入了解潜在机制,并针对这些慢性肺部疾病提出具体的假说。

方法

从肺组织研究联盟获得了来自不同类型ILD 患者的肺组织样本,并分离了总细胞 RNA。通过杂交和扩增方法对全局 mRNA 和 microRNA 进行了分析。编译差异表达基因,并用于鉴定关键信号通路和潜在的生物标志物。鉴定形成调控网络的基因模块,并在体外对培养细胞进行研究,以与体内结果进行比较。

结果

通过分析 mRNA 和 microRNA(miRNA)表达水平,我们发现了区分ILD 患者与对照组的差异表达基因亚组,并且与不同疾病阶段和ILD 亚型相关。基于途径数据库的网络分析揭示了几个与疾病相关的基因模块,涉及 TGF-β、Wnt、焦点粘连和平滑肌肌动蛋白途径中的基因,这些基因涉及纤维化的进展,纤维化是ILD 中的一个关键病理过程。还采用了更全面的方法来构建基于关键调节元件、转录因子和 microRNA 扰动的假设全局基因调控网络。我们的数据强调了 TGF-β信号转导和这些疾病中平滑肌肌动蛋白含成纤维细胞持续存在的重要性。我们提出的证据表明,在 TGF-β信号转导的下游,miR-23a 簇的 microRNAs 和转录因子 Zeb1 可能在介导上皮间质转化(EMT)和这些疾病中间质细胞的持续存在中发挥作用。

结论

我们全面概述了在 ILD 中失调的分子网络,讨论了几个潜在的关键分子调节回路,并确定了可能在促进 ILD 进展中起核心作用的 microRNA 种类。这些发现从分子水平上提高了我们对这些疾病的认识,为定义疾病的具体特征提供了新的分子特征,提出了新的假说,并揭示了新的潜在治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/0ade12e928d0/1755-8794-4-8-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/3ec2b2158548/1755-8794-4-8-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/7e11493c0cac/1755-8794-4-8-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/d49c4f0b0a2c/1755-8794-4-8-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/9cb021e60259/1755-8794-4-8-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/beedb6d209be/1755-8794-4-8-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/0ade12e928d0/1755-8794-4-8-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/3ec2b2158548/1755-8794-4-8-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/7e11493c0cac/1755-8794-4-8-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/d49c4f0b0a2c/1755-8794-4-8-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/9cb021e60259/1755-8794-4-8-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/beedb6d209be/1755-8794-4-8-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/3035594/0ade12e928d0/1755-8794-4-8-7.jpg

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