Project description:Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. To investigate the AR signaling, we performed ChIP sequence analysis in AR positive prostate cancer cell line, LNCaP. In addition, we used hormone-refractory prostate cancer model cells, Bicalutamide-resistant (BicR) to explore the differences of androgen signaling in prostate cancer progression. ChIP sequence analysis of AR binding sites and epigenetic condition in two prostate cancer cells
Project description:Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation.We performed ChIP-seq analysis to investigate the role of AR and histone modifications.In addition, by siRNA mediated knockdown of AR-associated factors, changes of AR-binding sites in prostate cancer cells were analyzed.. ChIP-sequence analysis of AR and its associated factors in prostate cancer cells
Project description:Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation.We performed ChIP-seq analysis to investigate the role of AR and its associated factors such as coregulators or collaborating factors.In addition, by siRNA mediated knockdown of such factors, changes of AR-binding sites in prostate cancer cells were analyzed. ChIP-sequence analysis of AR and its associated factors in prostate cancer cells
Project description:Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. To investigate the AR signaling, we performed ChIP sequence analysis in AR-positive prostate cancer cell lines, LNCaP and VCaP. In addition, we also examined the effect of PI polyamide specificly inhibit Oct1 binding to AR occupied-regions. ChIP sequence analysis of AR binding sites and epigenetic condition in two prostate cancer cells
Project description:Lung cancer is the leading cause of cancer mortality and early detection is the key to improve survival. However, there are no reliable blood-based tests currently available for early-stage lung cancer diagnosis. Here, we performed single-cell RNA sequencing of early-stage lung cancer and found lipid metabolism was broadly dysregulated in different cell types and glycerophospholipid metabolism is the most significantly altered lipid metabolism-related pathway. Untargeted lipidomics were detected in an exploratory cohort of 311 participants. Through support vector machine algorithm-based and mass spectrum-based feature selection, we have identified nine lipids as the most important detection features and developed a LC-MS-based targeted assay utilizing multiple reaction monitoring. This target assay achieved 100.00% specificity on an independent validation cohort. In a hospital-based lung cancer screening cohort of 1036 participants examined by low dose CT and a prospective clinical cohort containing 109 participants, this assay reached over 90.00% sensitivity and 92.00% specificity. Accordingly, matrix-assisted laser desorption/ionization-mass spectrometry imaging assay confirmed the selected lipids were differentially expressed in early-stage lung cancer tissues in situ. Thus, this method, designated as Lung Cancer Artificial Intelligence Detector (LCAID), may be used for early detection of lung cancer or large-scale screening of high-risk populations in cancer prevention.
Project description:We performed androgen receptor (AR) ChIP-seq after GFP control or FOXA1 over-expression in two AR driven cancer models; LNCaP prostate cancer cell line and MDA-MB-453 molecular apocrine breast cancer cell line.
Project description:Aberrant expression of SOX9 in human colorectal cancer cells suggests its roles in the development of colorectal cancer. To gain insight into SOX9-mediated transcriptional regulation in colorectal cancer cells, we attempted to identify its physiological targets on a genome-scale using chromatin immunoprecipitation (ChIP) followed by sequencing (ChIP-seq) in HT-29, human colorectal cancer cells. SOX9 CHIP-seq was carried out using HT-29 cells.
Project description:Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. We identified androgen-regulated long non-coding RNA, CTBP1-AS, located in the antisese region of CTBP1 gene. CTBP1-AS activate AR signaling by epigenetically repress AR-associated cofactors such as CTBP1 by interactign with RNA-binding protein PSF and recruiting HDAC complex to the target promoters. In order investigated the PSF target genes, we performed ChIP-seq analysis of PSF binding sites in prostate cancer cell line, LNCaP cells. We identified androgen dependent PSF binding regions in prostate cancer cell genome. We observed PSF bindings around the promoters of androgen repressed genes such as CTBP1, p53 and SMAD3. ChIP-sequence analysis of PSF binding sites in prostate cancer cells
Project description:CARM1, a coactivator for various cancer-relevant transcription factors, is overexpressed in breast cancer. To elucidate the functions of CARM1 in tumorigenesis, we knocked out CARM1 from several breast cancer cell lines using Zinc-Finger Nuclease technology, which resulted in drastic phenotypic and biochemical changes. The CARM1 KO cell lines enabled identification of novel CARM1 substrates, notably the SWI/SNF core subunit BAF155. Methylation of BAF155 at R1064 was found to be an independent prognostic biomarker for cancer recurrence and to regulate breast cancer cell migration and metastasis. Further, CARM1-mediated BAF155 methylation affects gene expression by directing methylated BAF155 to unique chromatin regions (e.g., c-Myc pathway genes). Collectively our studies uncover a mechanism by which BAF155 acquires tumorigenic functions via arginine methylation. Examination of methylation of BAF155 (R1064) in breast cancer cells