Transcriptomics

Dataset Information

0

Mechanical loading and gene expression - Microarray study


ABSTRACT: Skeletal integrity in humans and animals is maintained by daily mechanical loading. It has been widely accepted that osteocytes function as mechanosensors. Many biochemical signaling molecules are involved in the response of osteocytes to mechanical stimulation. The aim of this study was to identify genes involved in the translation of mechanical stimuli into bone formation. The four-point bending model was used to induce a single period of mechanical loading (comprising 300 cycles (2 Hz) using a peak magnitude of 60 N) on the right tibia, while the contra lateral left tibia served as control. Six hours after loading, the effects of mechanical loading on gene-expression were determined with microarray analysis. Protein expression of differentially regulated genes was evaluated with immunohistochemistry. Nine genes were found to exhibit a significant differential gene expression in LOAD compared to control. MEPE, Garnl1, V2R2B, and QFG TN1 olfactory receptor were up-regulated, and creatine kinase (muscle form), fibrinogen-B beta-polypeptide, monoamine oxidase A, troponin-C and kinesin light chain-C were down-regulated. Validation with real-time RT-PCR analysis confirmed the up regulation of MEPE and the down-regulation of creatine kinase (muscle form) and troponin-C in the loaded tibia. Immunohistochemistry showed that the increase of MEPE protein expression was already detectable six hours after mechanical loading. In conclusion, these genes probably play a role during translation of mechanical stimuli six hours after mechanical loading. The modulation of MEPE expression may indicate a connection between bone mineralization and bone formation after mechanical stimulation.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE50707 | GEO | 2013/11/21

SECONDARY ACCESSION(S): PRJNA218533

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2013-11-21 | E-GEOD-50707 | biostudies-arrayexpress
2018-11-13 | E-MTAB-7176 | biostudies-arrayexpress
2015-12-29 | GSE69975 | GEO
2020-12-16 | E-MTAB-5532 | biostudies-arrayexpress
2023-01-30 | GSE220630 | GEO
2010-06-12 | E-GEOD-22286 | biostudies-arrayexpress
2020-07-08 | GSE151971 | GEO
2013-12-12 | E-GEOD-41997 | biostudies-arrayexpress
2013-12-12 | GSE41997 | GEO
2024-09-02 | BIOMD0000000612 | BioModels