Transcriptomics

Dataset Information

0

Integrative transcriptomic and proteomic analysis of osteocytic cells exposed to fluid flow reveals novel mechano-sensitive signaling pathways


ABSTRACT: Osteocytes, positioned within bone’s interstitial space, are subject to fluid flow upon whole bone loading. Such fluid flow is widely theorized to be a mechanical signal transduced by osteocytes, initiating a poorly understood cascade of signaling events mediating bone metabolism. The objective of this study was to utilize high-throughput approaches to examine the time course of flow-induced changes in osteocyte gene transcript and protein levels. Microarray analysis demonstrated fluid flow regulation of genes consistent with known anabolic loading responses, including Ptgs2, NF-κB inhibitors, MAP3 kinases, and Wnt/β-catenin pathway signaling molecules. However, two of the most highly up-regulated gene products—Cxcl1 and Cxcl2, confirmed by qPCR—have not previously been reported to be responsive to fluid flow. Gene ontology analysis suggested a highly significant inflammatory and immune response, with cellular functions including trafficking, cell-to-cell signaling, and tissue development. Proteomic analysis of the same samples demonstrated greatest up-regulation of the ATP-producing enzyme NDK, calcium-binding Calcyclin, and G protein-coupled receptor kinase 6. An integrative pathway analysis merging fold changes in transcript and protein levels predicted signaling nodes not directly detected at the sampled time points, including STAT3 and c-Myc. These results extend our knowledge of the osteocytic response to fluid flow, most notably up-regulation of Cxcl1 and Cxcl2 as a possible paracrine agent for osteoblastic and osteoclastic recruitment.

ORGANISM(S): Mus musculus

PROVIDER: GSE42874 | GEO | 2013/07/01

SECONDARY ACCESSION(S): PRJNA183689

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2013-07-01 | E-GEOD-42874 | biostudies-arrayexpress
2017-07-23 | GSE70667 | GEO
2018-11-13 | E-MTAB-7176 | biostudies-arrayexpress
2015-07-08 | E-GEOD-42874 | ExpressionAtlas
2013-11-21 | E-GEOD-50707 | biostudies-arrayexpress
2021-06-08 | PXD020774 | Pride
2012-05-22 | GSE27372 | GEO
| PRJNA183689 | ENA
2010-07-14 | E-GEOD-22925 | biostudies-arrayexpress
2024-04-24 | GSE202994 | GEO