Literature DB >> 28386771

Potential neoplastic evolution of Vero cells: in vivo and in vitro characterization.

N A Andreani1, S Renzi1, G Piovani2, P Ajmone Marsan3, L Bomba3, R Villa4, M Ferrari1, S Dotti1.   

Abstract

Vero cell lines are extensively employed in viral vaccine manufacturing. Similarly to all established cells, mutations can occur during Vero cells in vitro amplification which can result in adverse features compromising their biological safety. To evaluate the potential neoplastic evolution of these cells, in vitro transformation test, gene expression analysis and karyotyping were compared among low- (127 and 139 passages) and high-passage (passage 194) cell lines, as well as transformed colonies (TCs). In vivo tumorigenicity was also tested to confirm preliminary in vitro data obtained for low passage lines and TCs. Moreover, Vero cells cultivated in foetal bovine serum-free medium and derived from TCs were analysed to investigate the influence of cultivation methods on tumorigenic evolution. Low-passage Vero developed TCs in soft agar, without showing any tumorigenic evolution when inoculated in the animal model. Karyotyping showed a hypo-diploid modal chromosome number and rearrangements with no difference among Vero cell line passages and TCs. These abnormalities were reported also in serum-free cultivated Vero. Gene expression revealed that high-passage Vero cells had several under-expressed and a few over-expressed genes compared to low-passage ones. Gene ontology revealed no significant enrichment of pathways related to oncogenic risk. These findings suggest that in vitro high passage, and not culture conditions, induces Vero transformation correlated to karyotype and gene expression alterations. These data, together with previous investigations reporting tumour induction in high-passage Vero cells, suggest the use of low-passage Vero cells or cell lines other than Vero to increase the safety of vaccine manufacturing.

Entities:  

Keywords:  In vitro test; In vivo test; RNAseq; Transformation; Tumorigenicity; Vero cells

Year:  2017        PMID: 28386771      PMCID: PMC5595746          DOI: 10.1007/s10616-017-0082-7

Source DB:  PubMed          Journal:  Cytotechnology        ISSN: 0920-9069            Impact factor:   2.058


  36 in total

1.  Systematically experimental investigation on carcinogenesis or tumorigenicity of VERO cell lines of different karyotypes in nude mice in vivo used for viral vaccine manufacture.

Authors:  De-Li Zhang; Liang Ji; Liu-Jin Li; Gao-Sheng Huang
Journal:  Yi Chuan Xue Bao       Date:  2004-07

2.  Vero-cell rabies vaccine produced using serum-free medium.

Authors:  Neuza M Frazatti-Gallina; Regina M Mourão-Fuches; Rosana L Paoli; Maria L N Silva; Cosue Miyaki; Elizabeth J G Valentini; Isaias Raw; Hisako G Higashi
Journal:  Vaccine       Date:  2004-12-09       Impact factor: 3.641

3.  MicroRNAs as potential biomarkers for VERO cell tumorigenicity.

Authors:  Belete Teferedegne; Juliete Macauley; Gideon Foseh; Eugenia Dragunsky; Konstantin Chumakov; Haruhiko Murata; Keith Peden; Andrew M Lewis
Journal:  Vaccine       Date:  2014-07-10       Impact factor: 3.641

4.  Discovery of progenitor cell signatures by time-series synexpression analysis during Drosophila embryonic cell immortalization.

Authors:  Mary-Lee Dequéant; Delphine Fagegaltier; Yanhui Hu; Kerstin Spirohn; Amanda Simcox; Gregory J Hannon; Norbert Perrimon
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-05       Impact factor: 11.205

5.  Biological characteristics and viral susceptibility of an African green monkey kidney cell line (Vero).

Authors:  J S Rhim; K Schell; B Creasy; W Case
Journal:  Proc Soc Exp Biol Med       Date:  1969-11

6.  Safety profile of the Vero cell-derived Japanese encephalitis virus (JEV) vaccine IXIARO(®).

Authors:  Elisabeth Schuller; Anton Klingler; Katrin Dubischar-Kastner; Shailesh Dewasthaly; Zsuzsanna Müller
Journal:  Vaccine       Date:  2011-09-10       Impact factor: 3.641

7.  Assessing the tumorigenic phenotype of VERO cells in adult and newborn nude mice.

Authors:  Manu Manohar; Brian Orrison; Keith Peden; Andrew M Lewis
Journal:  Biologicals       Date:  2007-10-22       Impact factor: 1.856

8.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

9.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

10.  An RNA-seq-based gene expression profiling of radiation-induced tumorigenic mammary epithelial cells.

Authors:  Lina Ma; Linghu Nie; Jing Liu; Bing Zhang; Shuhui Song; Min Sun; Jin Yang; Yadong Yang; Xiangdong Fang; Songnian Hu; Yongliang Zhao; Jun Yu
Journal:  Genomics Proteomics Bioinformatics       Date:  2012-12-04       Impact factor: 7.691

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