RNA and phosphoprotein profiles of TP53- and PTEN-knockouts in MCF10A at baseline and responding to DNA damage.
Autor: | Lin C; Fred Hutchinson Cancer Center, Seattle, WA, USA., Schoenherr RM; Fred Hutchinson Cancer Center, Seattle, WA, USA., Voytovich UJ; Fred Hutchinson Cancer Center, Seattle, WA, USA., Ivey RG; Fred Hutchinson Cancer Center, Seattle, WA, USA., Kennedy JJ; Fred Hutchinson Cancer Center, Seattle, WA, USA., Whiteaker JR; Fred Hutchinson Cancer Center, Seattle, WA, USA., Wang P; Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Paulovich AG; Fred Hutchinson Cancer Center, Seattle, WA, USA. apaulovi@fredhutch.org. |
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Jazyk: | angličtina |
Zdroj: | Scientific data [Sci Data] 2024 Jan 04; Vol. 11 (1), pp. 27. Date of Electronic Publication: 2024 Jan 04. |
DOI: | 10.1038/s41597-023-02829-1 |
Abstrakt: | A wealth of proteogenomic data has been generated using cancer samples to deepen our understanding of the mechanisms of cancer and how biological networks are altered in association with somatic mutation of tumor suppressor genes, such as TP53 and PTEN. To generate functional signatures of TP53 or PTEN loss, we profiled the RNA and phosphoproteomes of the MCF10A epithelial cell line, along with its congenic TP53- or PTEN-knockout derivatives, upon perturbation with the monofunctional DNA alkylating agent methyl methanesulfonate (MMS) vs. mock treatment. To enable quantitative and reproducible mass spectrometry data generation, the cell lines were SILAC-labeled (stable isotope labeling with amino acids in cell culture), and the experimental design included label swapping and biological replicates. All data are publicly available and may be used to advance our understanding of the TP53 and PTEN tumor suppressor genes and to provide functional signatures for bioinformatic analyses of proteogenomic datasets. (© 2024. The Author(s).) |
Databáze: | MEDLINE |
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