期刊
JOURNAL OF BIOMECHANICS
卷 48, 期 16, 页码 4327-4332出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jbiomech.2015.10.045
关键词
RNA-Seq; Osteocyte; Mechanotransduction; Fluid flow; Gene expression; Signaling
资金
- National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health [9R01AR068132-15]
Bone adaptation to mechanical loading is regulated via signal transduction by mechano-sensing osteocytes. Mineral-embedded osteocytes experience strain-induced interstitial fluid flow and fluid shear stress, and broad shifts in gene expression are key components in the signaling pathways that regulate bone turnover. RNA sequencing analysis, or RNA-Seq, enables more complete characterization of mechano-responsive transcriptome regulation than previously possible. We hypothesized that RNA-Seq of osteocytic MLO-Y4 cells reveals both expected and novel gene transcript regulation in cells previously fluid flowed and analyzed using gene microarrays. MLO-Y4 cells were flowed for 2 h with 1 Pa oscillating fluid shear stress and post-incubated 2 h. RNA-Seq of original samples detected 55 fluid flow-regulated gene transcripts (p-corrected <0.05), the same number previously detected by microarray. However, RNA-Seq demonstrated greater dynamic range, with all 55 transcripts increased > 1.5-fold or decreased < 0.67-fold whereas 10 of 55 met this cut-off by microarray. Analyses were complimentary in patterns of regulation, though only 6 transcripts were significant in both RNA-Seq and microarray analyses: Cxcl5, Oxcl1, Zc3h12a, Ereg, Slc2a1, and Egln1. As part of a broad inflammatory response inferred by gene ontology analyses, we again observed greatest up-regulation of inflammatory C-X-C motif chemokines, and newly implicated HIF-1 alpha and AMPK signaling pathways. Importantly, we detected both expected fluid flow-sensitive transcripts (e.g. Nos2 [iNOS], Prgs2 [COX-2], Ccl7) and transcripts not previously identified as flow-sensitive, e.g. Ccl2. We found RNA-Seq advantageous over microarrays because of its greater dynamic range and ability to analyze unbiased estimation of gene expression, informing our understanding of osteocyte signaling. (C) 2015 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据