Project description:We examined differential gene expression profiles between MCF7 human breast cancer cells treated with vehicle alone (control), palbociclib monotherapy, palbociclib alternating with ICI182,780 treatment, and palbociclib resistant cells. For this, we used gene microarray expression profiling to identify significantly changed genes under different treatment conditions.
Project description:Analysis miRNA profiling of breast cancer cells treated without or with palbociclib.Results provide insight into the molecular mechanisms involved in resistance to pabbociclib.
Project description:T47D and MCF7 cell lines were treated with long-term (continuous) palbociclib to induce 4 resistant cell-lines (T47D RB-, T47D CDK6H, MCF7 RB- and MCF7 PacqR). Each cell line (both parental and resistant) were then treated with DMSO (control), capivasertib monotherapy, fulvestrant monotherapy and capivasertib/fulvestrant combination. RNA data is available after each treatment and resistant cell lines additionally have RNA data available after continuous palbociclib treatment.
Project description:Liquid Chromatography with tandem mass spectrometry (LC-MS/MS) identification of phosphorylation of control and Palbociclib-treated HeLa cells. For identification and quantification of protein, the single-shot subject samples (DIA MS data) were used to generate a direct-DIA library and computationally merged into a hybrid library in the Spectronaut software (Biognosys). For subsequent data analysis, Gene Ontology (GO) and InterPro (IPR) analysis were conducted using the InterProScan-5 program against the non-redundant protein database, and the databases COG (Clusters of Orthologous Groups) and KEGG (Kyoto Encyclopedia of Genes and Genomes) were used to analyze the protein family and pathway.
Project description:Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was employed to profile the proteomes of Control and Palbociclib-treated HeLa cells. For protein identification and quantification, mass spectrometry data from fractionated samples (data-dependent acquisition, DDA; 6 fractions) and single-shot samples (data-independent acquisition, DIA) were utilized to construct a DDA library and a direct-DIA library, respectively. These libraries were computationally merged into a hybrid spectral library using Spectronaut software (Biognosys). Subsequent functional annotation was performed through Gene Ontology (GO) and InterPro (IPR) analyses using the InterProScan-5 tool against the non-redundant protein database. Additionally, protein family and pathway analyses were carried out using the Clusters of Orthologous Groups (COG) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) databases.