Transcriptome profile of human neuroblastoma cells in the hypomagnetic field

Mo, WeiChuan, Ying, Liu, Bartlett, Perry F. and He, RongQiao (2014) Transcriptome profile of human neuroblastoma cells in the hypomagnetic field. Science China Life Sciences, 57 4: 448-461. doi:10.1007/s11427-014-4644-z

Author Mo, WeiChuan
Ying, Liu
Bartlett, Perry F.
He, RongQiao
Title Transcriptome profile of human neuroblastoma cells in the hypomagnetic field
Journal name Science China Life Sciences   Check publisher's open access policy
ISSN 1674-7305
Publication date 2014-04-01
Sub-type Article (original research)
DOI 10.1007/s11427-014-4644-z
Open Access Status DOI
Volume 57
Issue 4
Start page 448
End page 461
Total pages 14
Place of publication Beijing, China
Publisher Zhongguo Kexue Zazhishe
Language eng
Formatted abstract
Research has shown that the hypomagnetic field (HMF) can affect embryo development, cell proliferation, learning and memory, and in vitro tubulin assembly. In the present study, we aimed to elucidate the molecular mechanism by which the HMF exerts its effect, by comparing the transcriptome profiles of human neuroblastoma cells exposed to either the HMF or the geomagnetic field. A total of 2464 differentially expressed genes (DEGs) were identified, 216 of which were up-regulated and 2248 of which were down-regulated after exposure to the HMF. These DEGs were found to be significantly clustered into several key processes, namely macromolecule localization, protein transport, RNA processing, and brain function. Seventeen DEGs were verified by real-time quantitative PCR, and the expression levels of nine of these DEGs were measured every 6 h. Most notably, MAPK1 and CRY2, showed significant up- and down-regulation, respectively, during the first 6 h of HMF exposure, which suggests involvement of the MAPK pathway and cryptochrome in the early bio-HMF response. Our results provide insights into the molecular mechanisms underlying the observed biological effects of the HMF.
Keyword Hypomagnetic field
Geomagnetic field
Transcriptome profile
Massively parallel sequencing
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2015 Collection
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Citation counts: TR Web of Science Citation Count  Cited 12 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 11 times in Scopus Article | Citations
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Created: Wed, 02 Apr 2014, 10:35:55 EST by Weichuan Mo on behalf of Queensland Brain Institute