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Series GSE70667 Query DataSets for GSE70667
Status Public on Jul 23, 2017
Title Mechano-sensitive Gene Expression with RNA-Seq: Revisiting the Osteocytic Cell Response to Fluid Flow
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary 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-sensitive 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 (Govey et al., J Biomech, 2014). 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 58 fluid flow-regulated gene transcripts (p-corrected<0.05) versus 65 transcripts detected by microarray. However, RNA-Seq demonstrated greater dynamic range, with all 58 transcripts >1.5 fold-change whereas 10 of 65 met this cut-off by microarray. Analyses were complimentary in patterns of regulation, though only 6 transcripts were significant in both analyses: Cxcl5, Cxcl1, 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? and AMPK signaling pathways. Importantly, we detected both expected mechano-sensitive transcripts (e.g. Nos2, Ptgs2, Ccl7) and transcripts not previously identified as mechano-sensitive, e.g. Ccl2. We found RNA-Seq advantageous over microarrays because of its ability to analyze unbiased estimation of gene expression, informing our understanding of osteocyte signaling.
 
Overall design Osteocyte-like MLO-Y4 cells were subjected to 2 hours of 10 dyn/cm^2 oscillating fluid flow in parallel-plate fluid flow chambers and harvested for analysis after an additional 2 hours post-flow incubation in fresh medium. Parallel control samples from sham treated cells were also collected. Triplicate samples of both flow and non-flow control conditions were collected to analyze flow vs. non-flow gene transcript regulation.
 
Contributor(s) Kawasawa YI, Govey PM, Donahue HJ
Citation(s) 26573903, 29712973
Submission date Jul 09, 2015
Last update date Feb 12, 2020
Contact name Yuka Imamura Kawasawa
E-mail(s) [email protected]
Organization name Penn State University
Department College of Medicine, Pharmacology
Street address 500 University Dr.
City Hershey
State/province PA
ZIP/Postal code 17033
Country USA
 
Platforms (1)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (6)
GSM1816166 HD3
GSM1816167 HD4
GSM1816168 HD11
Relations
BioProject PRJNA289315
SRA SRP060567

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE70667_FPKM.txt.gz 1.1 Mb (ftp)(http) TXT
GSE70667_differential_gene_expression.txt.gz 1.1 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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