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Genome Editing of the SNAI1 Gene in Rhabdomyosarcoma: A Novel Model for Studies of Its Role

Genome editing (GE) tools and RNA interference technology enable the modulation of gene expression in cancer research. While GE mediated by clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 or transcription activator-like effector nucleases (TALEN) activity can be used to induc...

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Detalles Bibliográficos
Autores principales: Ulman, Aleksandra, Skrzypek, Klaudia, Konieczny, Paweł, Mussolino, Claudio, Cathomen, Toni, Majka, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290443/
https://www.ncbi.nlm.nih.gov/pubmed/32354171
http://dx.doi.org/10.3390/cells9051095
Descripción
Sumario:Genome editing (GE) tools and RNA interference technology enable the modulation of gene expression in cancer research. While GE mediated by clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 or transcription activator-like effector nucleases (TALEN) activity can be used to induce gene knockouts, shRNA interacts with the targeted transcript, resulting in gene knockdown. Here, we compare three different methods for SNAI1 knockout or knockdown in rhabdomyosarcoma (RMS) cells. RMS is the most common sarcoma in children and its development has been previously associated with SNAI1 transcription factor activity. To investigate the role of SNAI1 in RMS development, we compared CRISPR/Cas9, TALEN, and shRNA tools to identify the most efficient tool for the modulation of SNAI1 expression with biological effects. Subsequently, the genome sequence, transcript levels, and protein expression of SNAI1 were evaluated. The modulation of SNAI1 using three different approaches affected the morphology of the cells and modulated the expression of myogenic factors and HDAC1. Our study revealed a similar effectiveness of the tested methods. Nevertheless, the low efficiency of the GE tools was a limiting factor in obtaining biallelic gene knockouts. To conclude, we established and characterized three different models of SNAI1 knockout and knockdown that might be used in further studies investigating the role of SNAI1 in RMS.