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通过转录组分析进行途径鉴定。

Pathway identification through transcriptome analysis.

机构信息

Kidney Disease Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health (NIH), Bethesda, MD, United States.

Kidney Disease Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health (NIH), Bethesda, MD, United States.

出版信息

Cell Signal. 2020 Oct;74:109701. doi: 10.1016/j.cellsig.2020.109701. Epub 2020 Jul 7.

DOI:10.1016/j.cellsig.2020.109701
PMID:32649993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9447370/
Abstract

Systems-based, agnostic approaches focusing on transcriptomics data have been employed to understand the pathogenesis of polycystic kidney diseases (PKD). While multiple signaling pathways, including Wnt, mTOR and G-protein-coupled receptors, have been implicated in late stages of disease, there were few insights into the transcriptional cascade immediately downstream of Pkd1 inactivation. One of the consistent findings has been transcriptional evidence of dysregulated metabolic and cytoskeleton remodeling pathways. Recent technical developments, including bulk and single-cell RNA sequencing technologies and spatial transcriptomics, offer new angles to investigate PKD. In this article, we review what has been learned based on transcriptional approaches and consider future opportunities.

摘要

基于系统的、与具体方法无关的方法侧重于转录组学数据,用于了解多囊肾病 (PKD) 的发病机制。虽然包括 Wnt、mTOR 和 G 蛋白偶联受体在内的多个信号通路已被牵连到疾病的晚期,但对于 Pkd1 失活后立即发生的转录级联反应几乎没有深入了解。一致的发现之一是转录证据表明代谢和细胞骨架重塑途径失调。最近的技术发展,包括批量和单细胞 RNA 测序技术和空间转录组学,为研究 PKD 提供了新的角度。在本文中,我们根据转录方法回顾了已经学到的知识,并考虑了未来的机会。

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本文引用的文献

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Prioritization of novel ADPKD drug candidates from disease-stage specific gene expression profiles.从疾病阶段特异性基因表达谱中优先选择新型 ADPKD 药物候选物。
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Ketosis Ameliorates Renal Cyst Growth in Polycystic Kidney Disease.酮症可改善多囊肾病中的肾囊肿生长。
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Discovery and preclinical evaluation of anti-miR-17 oligonucleotide RGLS4326 for the treatment of polycystic kidney disease.抗 miR-17 寡核苷酸 RGLS4326 治疗多囊肾病的发现和临床前评价。
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