Literature DB >> 20149836

Neuronal models for evaluation of proliferation in vitro using high content screening.

William R Mundy1, Nicholas M Radio, Theresa M Freudenrich.   

Abstract

In vitro test methods can provide a rapid approach for the screening of large numbers of chemicals for their potential to produce toxicity (hazard identification). In order to identify potential developmental neurotoxicants, a battery of in vitro tests for neurodevelopmental processes such as cell proliferation, differentiation, growth, and synaptogenesis has been proposed. The development of in vitro approaches for toxicity testing will require choosing a model system that is appropriate to the endpoint of concern. This study compared several cell lines as models for neuronal proliferation. The sensitivities of neuronal cell lines derived from three species (PC12, rat; N1E-115, mouse; SH-SY5Y, human) to chemicals known to affect cell proliferation were assessed using a high content screening system. After optimizing conditions for cell growth in 96-well plates, proliferation was measured as the incorporation of 5-bromo-2'-deoxyuridine (BrdU) into replicating DNA during S phase. BrdU-labeled cells were detected by immunocytochemistry and cell counts were obtained using automated image acquisition and analysis. The three cell lines showed approximately 30-40% of the population in S phase after a 4h pulse of BrdU. Exposure to the DNA polymerase inhibitor aphidicolin for 20 h prior to the 4h pulse of BrdU significantly decreased proliferation in all three cell lines. The sensitivities of the cell lines were compared by exposure to eight chemicals known to affect proliferation (positive controls) and determination of the concentration inhibiting proliferation by 50% of control (I(50)). PC12 cells were the most sensitive to chemicals; 6 out of 8 chemicals (aphidicolin, cadmium, cytosine arabinoside, dexamethasone, 5-fluorouracil, and methylmercury) inhibited proliferation at the concentrations tested. SH-SY5Y cells were somewhat less sensitive to chemical effects, with five out of eight chemicals inhibiting proliferation; dexamethasone had no effect, and cadmium inhibited proliferation only at concentrations that decreased cell viability. Data from the N1E-115 cell line was extremely variable between experiments, and only 4 out of 8 chemicals resulted in inhibition of proliferation. Chemicals that had not been previously shown to alter proliferation (negative controls) did not affect proliferation or cell viability in any cell line. The results show that high content screening can be used to rapidly assess chemical effects on proliferation. Three neuronal cell lines exhibited differential sensitivity to the effect of chemicals on this endpoint, with PC12 cells being the most sensitive to inhibition of proliferation. Published by Elsevier Ireland Ltd.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20149836     DOI: 10.1016/j.tox.2010.02.004

Source DB:  PubMed          Journal:  Toxicology        ISSN: 0300-483X            Impact factor:   4.221


  13 in total

Review 1.  Concise review: modeling central nervous system diseases using induced pluripotent stem cells.

Authors:  Xianmin Zeng; Joshua G Hunsberger; Anton Simeonov; Nasir Malik; Ying Pei; Mahendra Rao
Journal:  Stem Cells Transl Med       Date:  2014-11-03       Impact factor: 6.940

2.  Adjunctive dexamethasone affects the expression of genes related to inflammation, neurogenesis and apoptosis in infant rat pneumococcal meningitis.

Authors:  Cornelia Blaser; Matthias Wittwer; Denis Grandgirard; Stephen L Leib
Journal:  PLoS One       Date:  2011-03-11       Impact factor: 3.240

3.  Integrating Data From In Vitro New Approach Methodologies for Developmental Neurotoxicity.

Authors:  Kelly E Carstens; Amy F Carpenter; Melissa M Martin; Joshua A Harrill; Timothy J Shafer; Katie Paul Friedman
Journal:  Toxicol Sci       Date:  2022-04-26       Impact factor: 4.109

4.  Low level methylmercury enhances CNTF-evoked STAT3 signaling and glial differentiation in cultured cortical progenitor cells.

Authors:  Nathan J Jebbett; Joshua W Hamilton; Matthew D Rand; Felix Eckenstein
Journal:  Neurotoxicology       Date:  2013-07-08       Impact factor: 4.294

5.  Increasing antiproliferative properties of endocannabinoids in N1E-115 neuroblastoma cells through inhibition of their metabolism.

Authors:  Laurie Hamtiaux; Laurie Hansoulle; Nicolas Dauguet; Giulio G Muccioli; Bernard Gallez; Didier M Lambert
Journal:  PLoS One       Date:  2011-10-27       Impact factor: 3.240

6.  Evaluation of chemical compounds that inhibit neurite outgrowth using GFP-labeled iPSC-derived human neurons.

Authors:  Shuaizhang Li; Li Zhang; Ruili Huang; Tuan Xu; Fred Parham; Mamta Behl; Menghang Xia
Journal:  Neurotoxicology       Date:  2021-01-27       Impact factor: 4.398

7.  Whole genome microarray analysis of neural progenitor C17.2 cells during differentiation and validation of 30 neural mRNA biomarkers for estimation of developmental neurotoxicity.

Authors:  Kristina Attoff; Anda Gliga; Jessica Lundqvist; Ulf Norinder; Anna Forsby
Journal:  PLoS One       Date:  2017-12-20       Impact factor: 3.240

Review 8.  Familial Alzheimer's disease modelling using induced pluripotent stem cell technology.

Authors:  Lisa Mohamet; Natalie J Miazga; Christopher M Ward
Journal:  World J Stem Cells       Date:  2014-04-26       Impact factor: 5.326

9.  Is Low Non-Lethal Concentration of Methylmercury Really Safe? A Report on Genotoxicity with Delayed Cell Proliferation.

Authors:  María Elena Crespo-Lopez; Allan Costa-Malaquias; Edivaldo H C Oliveira; Moysés S Miranda; Gabriela P F Arrifano; José R Souza-Monteiro; Fernanda Espirito-Santo Sagica; Enéas A Fontes-Junior; Cristiane S F Maia; Barbarella M Macchi; José Luiz M do Nascimento
Journal:  PLoS One       Date:  2016-09-13       Impact factor: 3.240

10.  Reference compounds for alternative test methods to indicate developmental neurotoxicity (DNT) potential of chemicals: example lists and criteria for their selection and use.

Authors:  Michael Aschner; Sandra Ceccatelli; Mardas Daneshian; Ellen Fritsche; Nina Hasiwa; Thomas Hartung; Helena T Hogberg; Marcel Leist; Abby Li; William R Mundi; Stephanie Padilla; Aldert H Piersma; Anna Bal-Price; Andrea Seiler; Remco H Westerink; Bastian Zimmer; Pamela J Lein
Journal:  ALTEX       Date:  2016-07-25       Impact factor: 6.043

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.