The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Phenotypic Characterization of Retinoic Acid Differentiated SH-SY5Y Cells by Transcriptional Profiling
Open accessAbstract
Multiple genetic and environmental factors play a role in the development and progression of Parkinson's disease (PD). The main neuropathological hallmark of PD is the degeneration of dopaminergic (DAergic) neurons in the substantia nigra pars compacta. To study genetic and molecular contributors to the disease process, there is a great need for readily accessible cells with prominent DAergic features that can be used for reproducible in vitro cellular screening. Here, we investigated the molecular phenotype of retinoic acid (RA) differentiated SH-SY5Y cells using genome wide transcriptional profiling combined with gene ontology, transcription factor and molecular pathway analysis. We demonstrated that RA induces a general neuronal differentiation program in SH-SY5Y cells and that these cells develop a predominantly mature DAergic-like neurotransmitter phenotype. This phenotype is characterized by increased dopamine levels together with a substantial suppression of other neurotransmitter phenotypes, such as those for noradrenaline, acetylcholine, glutamate, serotonin and histamine. In addition, we show that RA differentiated SH-SY5Y cells express the dopamine and noradrenalin neurotransmitter transporters that are responsible for uptake of MPP(+), a well known DAergic cell toxicant. MPP(+) treatment alters mitochondrial activity according to its proposed cytotoxic effect in DAergic neurons. Taken together, RA differentiated SH-SY5Y cells have a DAergic-like phenotype, and provide a good cellular screening tool to find novel genes or compounds that affect cytotoxic processes that are associated with PD.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Vandesompele, J., De Preter, K., Pattyn, F., Poppe, B., Van Roy, N., De Paepe, A., & Speleman, F. (2002) · Genome Biology · doi:10.1186/gb-2002-3-7-research0034 · Cited by 20,038
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Edgar, R. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.207 · Cited by 13,288
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Staging of brain pathology related to sporadic Parkinson’s disease
Braak, H., Tredici, K. D., Rüb, U., de Vos, R. A. I., Jansen Steur, E. N. H., & Braak, E. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(02)00065-9 · Cited by 10,777
Spillantini, M. G., Schmidt, M. L., Lee, V. M.-Y., Trojanowski, J. Q., Jakes, R., & Goedert, M. (1997) · Nature · doi:10.1038/42166 · Cited by 8,382
Dauer, W., & Przedborski, S. (2003) · Neuron · doi:10.1016/s0896-6273(03)00568-3 · Cited by 5,469
Cahoy, J. D., Emery, B., Kaushal, A., Foo, L. C., Zamanian, J. L., Christopherson, K. S., Xing, Y., Lubischer, J. L., Krieg, P. A., Krupenko, S. A., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4178-07.2008 · Cited by 3,129
Mutations in the DJ-1 Gene Associated with Autosomal Recessive Early-Onset Parkinsonism
Bonifati, V., Rizzu, P., van Baren, M. J., Schaap, O., Breedveld, G. J., Krieger, E., Dekker, M. C. J., Squitieri, F., Ibanez, P., Joosse, M., et al. (2003) · Science · doi:10.1126/science.1077209 · Cited by 2,778
GOstat: find statistically overrepresented Gene Ontologies within a group of genes
Beißbarth, T., & Speed, T. P. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth088 · Cited by 1,257
Epidemiology and etiology of Parkinson's disease: a review of the evidence
Wirdefeldt, K., Adami, H.-O., Cole, P., Trichopoulos, D., & Mandel, J. (2011) · European Journal of Epidemiology · doi:10.1007/s10654-011-9581-6 · Cited by 1,199
Cited by
The SH-SY5Y cell line in Parkinson’s disease research: a systematic review
Xicoy, H., Wieringa, B., & Martens, G. J. M. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0149-0 · Cited by 1,036
Nagy, C., Maitra, M., Tanti, A., Suderman, M., Théroux, J.-F., Davoli, M. A., Perlman, K., Yerko, V., Wang, Y. C., Tripathy, S. J., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0621-y · Cited by 532
Soppa, U., Schumacher, J., Florencio Ortiz, V., Pasqualon, T., Tejedor, F., & Becker, W. (2014) · Cell Cycle · doi:10.4161/cc.29104 · Cited by 189
“DYRK1A primarily induces cell cycle arrest of SH-SY5Y by phosphorylation of cell cycle proteins, which then favors neuronal differentiation, whereas RA induces changes of differentiation-related genes (such as TrkB) in the first place before cells exit the cell cycle.(60,61) Nonetheless, elevated DYRK1A activity event…”
BackgroundHafiz, Z. Z., Amin, M. ‘. M., Johari James, R. M., Teh, L. K., Salleh, M. Z., & Adenan, M. I. (2020) · Molecules · doi:10.3390/molecules25040892 · Cited by 64
Leggio, L., L'Episcopo, F., Magrì, A., Ulloa‐Navas, M. J., Paternò, G., Vivarelli, S., Bastos, C. A. P., Tirolo, C., Testa, N., Caniglia, S., et al. (2022) · Advanced Healthcare Materials · doi:10.1002/adhm.202201203 · Cited by 54
Metadata
- Authors
- Korecka, J. A., van Kesteren, R. E., Blaas, E., Spitzer, S. O., Kamstra, J. H., Smit, A. B., Swaab, D. F., Verhaagen, J., & Bossers, K.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-05-28
- Volume
- 8
- Issue
- 5
- Pages
- e63862
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1966911546
- Cited by
- 253
- References
- 66
- FWCI
- 11.02
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Phenotypic Characterization of Retinoic Acid Differentiated SH-SY5Y Cells by Transcriptional Profiling. https://app.cochat.ai/papers/10.1371/journal.pone.0063862
- The paper
- Korecka, J. A., van Kesteren, R. E., Blaas, E., Spitzer, S. O., Kamstra, J. H., Smit, A. B., Swaab, D. F., Verhaagen, J., & Bossers, K. (2013). Phenotypic Characterization of Retinoic Acid Differentiated SH-SY5Y Cells by Transcriptional Profiling. PLoS ONE. https://doi.org/10.1371/journal.pone.0063862
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.