Project description:We report single-cell RNA-sequencing data of wild type, breast cancer cells MCF7 and BT-474. Single cells were isolated using the F.SIGHT single cell dispenser. cNDA synthesis and library preparation were down-scaled to 1/10 of original reaction volumes. By comparative UMAP clustering we could show that our MCF7-cluster exactly overlapped with sequencing data from GSE151334. Data was analyzed using three common alignment tools: salmon, kallisto and STAR. DE analysis was performed with inputs from each aligner. We proved the overexpression of ErbB2 in BT-474 compared to MCF7 in all cases.
Project description:Multiple-condition experiment was desinged to be any number of conditions in an experiment without replicate observations for microarray and used to identify genes differentially expressed between different pairs of conditions (treatments).<br> In this study we used breast cancer stable cell lines for overexpressing and silencing annexin A1 (ANXA1), which belongs to a family of -dependent phospholipid binding proteins and are preferentially located on the cytosolic face of the plasma membrane. Cell lines overexpressing ANXA1 (MDA_MB-453/cDNA) were generated by introducing retroviral vectors containing ANXA1 cDNA (pBabe/ANXA1 cDNA) into breast cancer cell line MDA-MB-453 (a low expressor of ANXA1). Breast cancer cell line BT-474, a high expressor of ANXA1, was infected with ANXA1 siRNA-plasmid viruses to knockdown ANAXAI expressor (BT-474/siRNA) where nucleotides corresponding to siRNA were synthesized and ligated into the pLNCX retroviral vector [35,36]. We also used a pLNCX/U6 empty vector to infect BT-474 and obtained an empty vector expressor. Therefore, 5 breast cancer cell lines (MDA_MB-453, MDA_MB-453/cDNA, BT-474, BT-474/siRNA, and BT-474/U6) are attributed to two genotypes: MDA_MB-453 and BT-474. MCE was performed for microarray analysis with these 5 breast cancer cell lines, that is, only one sample was drawn from each breast cancer cell line.
Project description:`Triple positive` BT-474 breast cancer cells were treated with anti-cancer compounds, Tamoxifen and Trastuzumab, and the metabolome and proteome analysed by LC-MS/MS using a timsTOF.
Project description:Background: Neuropilin-1 (NRP-1) is a non-tyrosine kinase glycoprotein receptor that elicits multiple functions depending on the ligand bound. It is known to promote cancer progression however; transcriptome-wide changes triggered by NRP-1 are not defined. In this study we aimed to identify novel molecules associated with NRP-1 expression using a global transcriptomic approach in a recombinant breast cancer cell model. Methods: NRP-1 was stably overexpressed in the BT-474 breast cancer cell line (BT-474 NRP-1) and subjected to next generation RNA sequencing using the Illumina HiSeq 4000 sequencing system. Two replicates each of the control BT-474 and BT474-NRP1 were utilized for sequencing. The count per million (CPM) method was utilized for filtering low counts/noise by NOISeq. The clean reads were mapped to reference genome using HISAT/ Bowtie2 tool. The Fragments Per Kilobase of transcript per Million mapped reads (FPKM) method was utilized to calculate the expression levels. False Detection Rate (FDR) ≤ 0.001, absolute value of Log2 ratio ≥ 2 and consistency between the two replicates were used as the default threshold to identify significant DEGs. Results: A total of 22,655,647 clean reads from 22,914,684 raw sequencing reads were generated upon sequencing. 22 upregulated and 61 downregulated genes were identified. Among the DEGs, 11 upregulated and 11 downregulated genes were shortlisted based on their known roles in cancer and/or EMT for confirmation with real-time qPCR. 2 upregulated genes TNC and TARP and 5 downregulated genes ACE, APOD, DDIT3, P2RX6 and ATF3 indicated consistently differential expression with qPCR. Conclusion: We report for the first time the global transcriptome-wide changes elicited by NRP-1 overexpression in a breast cancer cell model. Our study identified the novel association between several candidate molecules such as TNC, a known oncogene, and NRP-1 expression that may controbute to the tumourigenic role of NRP-1 in breast cancer.
Project description:Analysis of gene expression using bulk RNASeq was performed on tumors dissected from vehicle-treated and SDX-7320-treated mice (12 mg/kg). The analysis of RNASeq data showed that a several pathways were modulated in tumors from mice treated with SDX-7320.
Project description:We generated DNA microarray based gene expression profiles from three estrogen receptor a (ERa) positive breast cancer cell lines stimulated by 17Ã?-estradiol (E2) in vitro over a time course, as well as from MCF-7 cells grown as xenografts in ovariectomized athymic nude mice with E2 supplementation and after its withdrawal. Experiment Overall Design: 8 MCF-7 xenograft profiles (4 with E2,4 without E2), 14 T47D profiles (with E2 treatment in culture from 0 to 24 hr), 10 BT-474 profiles (with E2 treatment from 0 to 24 hr), 12 MCf-7 profiles (with E2 treatment from 0 to 24 hr)
Project description:Accumulating evidence suggests that the androgen receptor (AR) and its endogenous ligands influence disease progression in breast cancer (BCa). However, AR-mediated changes in BCa differ among the various BCa subtypes according to their hormone receptor profile (i.e presence/absence of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2, (HER2)). Thus, we explored the androgen-regulated transcriptomic changes in the ER+PR+HER2+ BCa cell line, BT-474, and compared them with PR-mediated changes. Methods: We performed RNA sequencing analysis, in treated BT-474 cells with dihydrotestosterone (DHT) and progesterone (PROG). Validation of the top ten differentially androgen-regulated genes and a number of other genes found in enriched signaling pathways was performed by qRT-PCR in BT-474 and other BCa cell lines. A parallel reaction monitoring targeted proteomic approach was developed for the verification of selected transcripts at the protein level. Results: We detected 19,450 transcripts, of which 224 were differentially regulated after DHT treatment. The increased expression of two well-known androgen-regulated genes, KLK2 (p<0.05) and KLK3 (p<0.001), confirmed the successful androgen stimulation in BT-474 cells. The transcription factor, ZBTB16, was the most highly upregulated gene, with ~1000-fold change (p<0.001). Pathway enrichment analysis revealed downregulation of the DNA replication processes (p<0.05), and upregulation of the androgen signaling and fatty acid metabolism pathways (p<0.05). Changes related to PROG-treatment showed opposite effects in gene expression than DHT treatment. Similar expression profiles were observed among other BCa cell lines expressing high levels of AR (ZR75.1 and MBA-MB-453). The parallel reaction monitoring targeted proteomic analysis further confirmed that altered protein expression (e.g. KLK3, and ALOX15B) in the supernatant and cell lysate of DHT-treated BT-474 cells, compared to control cells. Discussion: Collectively, our findings suggest that AR modulates the metabolism of BT-474 cells by affecting expression of a large number of genes and proteins. Based on further pathway analysis, we suggest that AR acts as a tumor suppressor in BT-474 cells.