Project description:Single cell ATAC-seq of PBMC - resting and stimulated. Used for comparison to asses the capabilies of the five-prime sequencing method in the detection of cis-regulatory elements using SCAFE (see publication).
Project description:We over-expressed an epigenetic regulator in a glioblastoma (GBM) primary culture from an adult patient. These GBM cells have cancer stem cell phenotypes, as they have self-renewal properties and tumor initiation potential when transplanted in immunocompromised mice. ATAC-seq was performed on cells over-expressing the epigenetic regulator and control cells expressing EGFP. ATAC-Seq on glioblastoma cells that over-express EGFP or an epigenetic regulator.
Project description:General activation of hypoxia-inducible factor (HIF) pathways is classically associated with adverse prognosis in cancer and has been proposed to contribute to oncogenic drive. In clear cell renal carcinoma (CCRC) HIF pathways are upregulated by inactivation of the von-Hippel-Lindau tumour suppressor. However HIF-1a and HIF-2a have contrasting effects on experimental tumour progression. To better understand this paradox we examined pan-genomic patterns of HIF DNA binding and associated gene expression in response to manipulation of HIF-1a and HIF-2a and related the findings to CCRC prognosis. Our findings reveal distinct pan-genomic organization of HIF isoform-specific DNA binding at thousands of sites. Overall associations were observed between HIF-1a-specific binding, and genes associated with favourable prognosis and between HIF-2a-specific binding and adverse prognosis. However within each isoform-specific set, individual gene associations were heterogeneous in sign and magnitude, suggesting that activation of each HIF-a isoform contributes a highly complex mix of pro- and anti-tumorigenic effects ChIP and RNASeq of HIF-1a and HIF-2a transfection in 786-O cell lines
Project description:Even with recent improvements in sample preparation and instrumentation, single-cell proteomics (SCP) analyses mostly measure protein abundances, making the field unidimensional. In this study, we employ a pulsed stable isotope labeling by amino acids in cell culture (SILAC) approach to simultaneously evaluate protein abundance and turnover in single cells (SC-pSILAC). Using state-of-the-art SCP workflow, we demonstrated that two SILAC labels are detectable from ~4000 proteins in single HeLa cells recapitulating known biology. We investigated drug effects on global and specific protein turnover in single cells and performed a large-scale time-series SC-pSILAC analysis of undirected differentiation of human induced pluripotent stem cells (iPSC) encompassing six sampling times over two months and analyzed >1000 cells. Abundance measurements highlighted cell-specific markers of stem cells and various organ-specific cell types. Protein turnover dynamics highlighted differentiation-specific co-regulation of core members of protein complexes with core histone turnover discriminating dividing and non-dividing cells with potential in stem cell and cancer research. Lastly, correlating the abundance of individual proteins from cells displaying a wide range of diameters show that histones and some proteins involved in the cell cycle do not scale with cell size confirming previous observations in yeast. Our study represents one of the most comprehensive SCP analysis to date, offering new insights into cellular diversity and pioneering functional post-translational measurements beyond protein abundance. This method not only distinguishes SCP from other single-cell omics approaches and enhances its scientific relevance in biological research in a multidimensional manner but also showcase the discovery potential of SCP in fundamental biology.
Project description:ATAC-seq of 79 primary samples obtained from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). Moreover, ATAC-seq of CD34+ HSPCs from 3 healthy donors are included. ATAC-seq was performed as described (Buenrostro et al., 2013) with a modification in the lysis buffer to reduce mitochondrial DNA contamination. Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011050 (dataset).
Project description:Exploring effect of estrogen and progesterone/progestin treatment on ER and PR binding. Two cell lines, four conditions (Vehicle, E2, Progesterone, E2+Progesterone), three factors (ER, PR, p300), all with three replicates.
Project description:Exploring effect of progesterone/progestin treatment on ER and PR binding. Two cell lines, three conditions (Full Media with E2, E2+ Progesterone, Full Media + R5020 Progestin), three factors (ER, PR, p300), all with three replicates, each with a matched Input control.