Clues to quality of journals
Open Access Policy of Helmholtz Association 2016
CC Licencences
Publication Metrics
Home
Deutsch
New EVA Application
Advanced Search
Browse by ...
Publication overview
Statistics (last 5 years)
OA Publications
Submit Publication
Import publication from...
Report missing publication
Contact persons
Help
Text
Endnote (RIS)
BibTeX
DOI
PMC
 |
|
Open Access Green as soon as Postprint is submitted to ZB.
Analysis of microRNA transcription and post-transcriptional processing by Dicer in the context of CHO cell proliferation.
J. Biotechnol. 190, 76-84 (2014)
CHO cells are the mammalian cell line of choice for recombinant production of therapeutic proteins. However, their low rate of proliferation limits obtainable space-time yields due to inefficient biomass accumulation. We set out to correlate microRNA transcription to cell-specific growth-rate by microarray analysis of 5 CHO suspension cell lines with low to high specific growth rates. Global microRNA expression analysis and Pearson correlation studies showed that mature microRNA transcript levels are predominately up-regulated in a state of fast proliferation (46 positively correlated, 17 negatively correlated). To further validate this observation, the expression of three genes that are central to microRNA biogenesis (Dicer, Drosha and Dgcr8) was analyzed. The expression of Dicer, which mediates the final step in microRNA maturation, was found to be strongly correlated to growth rate. Accordingly, knockdown of Dicer impaired cell growth by reducing growth-correlating microRNA transcripts. Moderate ectopic overexpression of Dicer positively affected cell growth, while strong overexpression impaired growth, presumably due to the concomitant increase of microRNAs that inhibit cell growth. Our data therefore suggest that Dicer dependent microRNAs regulate CHO cell proliferation and that Dicer could serve as a potential surrogate marker for cellular proliferation.
Impact Factor
Scopus SNIP
Altmetric
0.000
1.192
Annotations
Special Publikation
Hide on homepage
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Cell Engineering ; Chinese Hamster Ovary Cells ; Dicer ; Microrna ; Microarray
Language
english
Publication Year
2014
HGF-reported in Year
0
ISSN (print) / ISBN
0168-1656
e-ISSN
1873-4863
Journal
Journal of Biotechnology
Quellenangaben
Volume: 190,
Pages: 76-84
Publisher
Elsevier
Reviewing status
Peer reviewed
Institute(s)
Institute of Diabetes and Cancer (IDC)
PubMed ID
24486028
Erfassungsdatum
2014-12-31