|
|
GEO help: Mouse over screen elements for information. |
|
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)
|
|
Relations |
BioProject |
PRJNA289315 |
SRA |
SRP060567 |
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 |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
|
|
|
|
|