Project description:To understand the epigenetic regulations in in vitro induced senescent myeloid cells, we used Romidepsin (regulator of hyston H3) and we analysed how the genes get regulated.
Project description:Tamoxifen enhances romidepsin-induced senescence in pancreatic cancer cells. We compared gene-expression profile among untreated control, romidepsin-treated, tamoxifen-treated, and romidepsin plus tamoxifen-treated Panc1 cells.
Project description:Murine MDSCs isolated from the spleens of Lewis lung carcinoma mice were treated with or without WGP, and then miRNA array was used to analyze the differentailly expressed miRNAs. Murine MDSCs were isolated from the spleens of Lewis lung carcinoma tumor-bearing mice, and the sorted MDSCs were stimulated with or without 100 µg/ml WGP for 24 h. Then, the total RNA was extracted to perform miRNA array to analyze the differentially expressed miRNAs in MDSCs treated with or without WGP
Project description:Romidepsin displayed potent antitumor activity in our lenvatinib-resistant PDCs, we wanted to investigate the underlying mechanism of how romidepsin initiated susceptibility to conquer lenvatinib resistance in liver cancer.
Project description:ChIP-seq. analysis of TCam-2 16 h after 10 nanomolar Romidepsin application. DMSO treated cells were used as controls. For ChIP, an antibody against histone H3 pan-acetylation was used. These data are part of the article 'The Histone Deacetylase Inhibitor Romidepsin Efficiently Targets Cisplatin-resistant Germ Cell Cancer Cells via Downregulation of the SWI/SNF-Complex Member ARID1A' (Nettersheim et al., 2016). TCam-2 cells treated for 16h with romidepsin or the solvent were fixed by formaldehyde solution and further processed by Active Motif, including DNA shearing by sonication, chromatin-immunoprecipitaion, library generation and sequencing (NextSeq 500, Illumina). Pooled input DNA of each sample including spike-in Drosophila DNA was used as controls and for normalization. The 75-nt sequence reads were mapped against the genome using BWA algorithm. Duplicate reads were removed. Only peaks that align with no more than 2 mismatches and map uniquely to the genome were used for further analysis. Intervals / peaks were identified by the MACS peak finding algorithm (cutoff p-value 1x10-7) including ENCODE blacklist filtering
Project description:Bone marrow-derived MDSCs were generated from bone marrow of naive WT or Rel-/- mice. After red blood cell lysis, BM cells were cultured in complete RPMI medium containing GM-CSF (100 ng/mL) and IL-6 (100 ng/mL) for 7 days. RNAs were collected afterwards for RNA-Seq.
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare CD84 activated to control treated primary human G-MDSCs from multiple myeloma patients transcriptome profiling (RNA-seq) to understand the role of CD84 on these cells Methods: mRNA profiles from sorted G-MDSCs from patient bone marrow samples were generated by deep sequencing, in triplicate, using a bulk adaptation of the MARS-Seq protocol.