Project description:To identify HNRNPA2B1 binding sites on endogenous nuclear RNAs, we performed HITS-CLIP for endogenous HNRNPA2B1 and RNA-seq to analyze the nuclear RNA under either METTL3 or HNRNPA2B1 depletion. Wild type MDA-MB-231 cells were subjected to the HITS-CLIP procedure on immunoprecipitated HNRNPA2B1 associated RNA obtained from the nuclear fraction (Licatalosi D, et al. 2008, Nature 456:464-U22). For RNA-seq, nuclear RNA was extracted from MDA-MB-231 or Hela cells knocked down for METTL3 or HNRNPA2B1.
Project description:Aurora Kinase B and ZAK interaction model
Equivalent of the stochastic model used in "Network pharmacology model predicts combined Aurora B and ZAK inhibition in MDA-MB-231 breast cancer cells" by Tang et. al. 2018.
The only difference is cell division and partitioning of the components, which are available in the original model for SGNS2.
Project description:In order to identify MBNL1-dependent changes in MBNL1 target transcript stability, MBNL1 levels in MDA-MB-231 breast cancer cells were stably knocked-down using short-hairpin RNAs. The cells were then treated with alpha-amanitin to inhibit transcription, RNA was isolated at 0 and 9 hours post-alpha-amanitin treatment, and the samples were transcriptomically profiled.
Project description:To identify MBNL1-dependent changes in gene expression, MDA-MB-231 cells expressing either control or MBNL1-targeting shRNAs were transcriptomically profiled.
Project description:The project profiled the expression patterns in hypoxia induced secretomes between MDA-MB-231 parental and MDA-MB-231 Bone Tropic (BT) breast cancer cell lines which have been previously generated by Massague and colleagues (Kang et al. Cancer Cell 2003).
Project description:To investigate the function of Neuropilin-1 (NRP-1) in breast cancer MDA-MB-231 cells. CRISPR-Cas9 gene editing was used to knockout (KO) the NRP-1 gene in MDA-MB-231 human triple-negative breast cancer cells. Differentially expressed genes (DEGs) were determined in NRP-1 KO and parental MDA-MB-231 cells using whole transcriptome next-generation sequencing.