Project description:The combinatorial effects of four histone modifications in transcription and differentiation. Two replicates per histone modification and cell type.
Project description:Analysis of C2C12 myoblast induced with tetracycline to enhance integrin alpha7 expression. Integrin alpha7 is the major laminin binding integrin in muscle cells. Enhancing its expression has been demonstrated to alleviate pathology in a murine model of Duchenne muscular dystrophy. Results of this study provide insights into the effects of increasing integirn alpha7 expression on muscle cells and possible side effects associate with enhancing integrin alpha7 in muscle cells. Experiment Overall Design: Triplicate biological smaples for each condition(induced and non-induced) C2C12 myoblast were used.
Project description:Nrf2 (NF-E2-related-factor-2) contributes to the maintenance of glucose homeostasis in vivo. Nrf2 suppresses blood glucose levels by protecting pancreatic β-cells from oxidative stress and improving peripheral tissue glucose utilization. To elucidate the molecular mechanisms by which Nrf2 contributes to the maintenance of glucose homeostasis, we generated skeletal muscle (SkM)-specific Keap1-knockout (Keap1MuKO) mice that express abundant Nrf2 in SkM and then examined Nrf2-target gene expression in this tissue. In Keap1MuKO mice, blood glucose levels were significantly downregulated, and the levels of glycogen branching enzyme (Gbe1) mRNA, along with those of glycogen branching enzyme (GBE) protein, were significantly upregulated in mouse SkM. Consistent with this result, chemical Nrf2-inducers promoted Gbe1 mRNA expression in both mouse SkM and C2C12 myotubes. Chromatin-immunoprecipitation analysis demonstrated that Nrf2 binds the Gbe1 upstream promoter regions. In Keap1MuKO mice, muscle glycogen content was strongly reduced, and forced GBE expression in C2C12 myotubes promoted glucose uptake. Therefore, our results demonstrate that Nrf2-induction in SkM increases GBE expression and reduces muscle glycogen content, resulting in improved glucose tolerance. Chromatin occupancy of Nrf2 under CDDO-Im-treated condition were generated by deep sequencing, in dupliplicate
Project description:Gene expression profiling was performed to identify Sfmbt1-dependent regulation in myogenic programs. To establish the magnitude of the Sfmbt1 effect on muscle cells, we have compared gene expression profiles of C2C12 cells transduced with lentiviruses expressing scramble shRNA control or shSfmbt1. Our analysis suggested that Sfmbt1 critically confers transcriptional silencing of muscle genes in myogenic progenitor cells. Two biological replicates for each sample group: C2C12 cells stably transduced with pLKO.1 expressing scramble shRNA control and C2C12 cells transduced with pLKO.1 shSFMBT1. Samples were independently cultured and RNAs were then harvested for microarray analysis.
Project description:We newly identified skeletal muscle differentiation-associated miRNAs by comparing miRNA expression profile between C2C12 cell and Wnt4-overexpressing C2C12 cell. miR-487b, miR-3963 and miR-6412 are significantly down-regulated in differentiating C2C12 cells, and transfection of their mimics resulted in reduced expression of myogenic differentiation markers including Troponin T, myosin heavy chain fast and slow type. Single analysis for each condition (proliferating C2C12 cells, differentiating C2C12 cells, proliferating Wnt4-overexpressing C2C12 subline cells
Project description:Phosphoproteomic analysis of myogenesis in C2C12 myoblasts differentiating into myotubes. Four time points were analysed (0min, 30min, 24h and 5d) with four biological replicates.
Project description:Data dependent acquisition (DDA) is the method of choice for mass spectrometry based proteomics discovery experiments, data-independent acquisition (DIA) is steadily becoming more important. One of the most important requirement to perform a DIA analysis is the availability of spectral libraries for the peptide identification and quantification. Several researches were already conducted regarding the creation of spectral libraries from DDA analyses and obtaining identifications with these in DIA measurements. But so far only few experiments were conducted, to estimate the effect of these libraries on the quantitative level. In this work we created a spike-in gold standard dataset with known contents and ratios of proteins in a complex sample matrix. With this dataset, we first created spectral libraries using different sample preparation approaches with and without sample prefractionation on peptide and protein level. Two different search engines were used for protein identification. In total, five different spike-in states were compared with DIA analyses, comparing eight different spectral libraries generated by varying approaches and one library free method, as well as one default DDA analysis. Not only the number of identifications on peptide and protein level in the spectral libraries and the corresponding analyses was inspected, but also the number of expected and identified significant quantifications and their ratios were thoroughly examined. We found, that while libraries of prefractionationed samples are generally larger, the actually yielded identifications are not increased compared to repetitive non-fractionated measurements. Furthermore, we show that the accuracy of the quantifications is also highly dependent on the applied spectra library and also whether the peptide or protein level is analysed. Overall, the reproducibility and accuracy of DIA is superior to DDA in all analysed approaches.
Project description:Data dependent acquisition (DDA) is the method of choice for mass spectrometry based proteomics discovery experiments, data-independent acquisition (DIA) is steadily becoming more important. One of the most important requirement to perform a DIA analysis is the availability of spectral libraries for the peptide identification and quantification. Several researches were already conducted regarding the creation of spectral libraries from DDA analyses and obtaining identifications with these in DIA measurements. But so far only few experiments were conducted, to estimate the effect of these libraries on the quantitative level. In this work we created a spike-in gold standard dataset with known contents and ratios of proteins in a complex sample matrix. With this dataset, we first created spectral libraries using different sample preparation approaches with and without sample prefractionation on peptide and protein level. Two different search engines were used for protein identification. In total, five different spike-in states were compared with DIA analyses, comparing eight different spectral libraries generated by varying approaches and one library free method, as well as one default DDA analysis. Not only the number of identifications on peptide and protein level in the spectral libraries and the corresponding analyses was inspected, but also the number of expected and identified significant quantifications and their ratios were thoroughly examined. We found, that while libraries of prefractionationed samples are generally larger, the actually yielded identifications are not increased compared to repetitive non-fractionated measurements. Furthermore, we show that the accuracy of the quantifications is also highly dependent on the applied spectra library and also whether the peptide or protein level is analysed. Overall, the reproducibility and accuracy of DIA is superior to DDA in all analysed approaches.
Project description:We model processes of wound healing and tumor growth, by studying the effects of normal and cancer epithelial cells on normal fibroblasts and their reciprocal effect on normal keratinocytes in vitro. We find strong parallels between the two processes and compare our observations with transcriptional analysis of 24 clinical samples of squamous cell carcinoma. This dataset contains the tissue culture samples, for the clinical samples, see E-MTAB-1065. Normal human fibroblasts (HF) were cocultured with either normal HK or transformed epithelial cells (HaCaT and FaDu) and their expression profile was compared to the expression profile of HF cultured alone.
Project description:Analysis of microarrays with transcriptome of human neural crest-originated stem cells (NCSC), highly metastatic BLM melanoma cell line and neonatal highly pigmented melanocytes (HPM) at whole genome scale demonstrated distinct differences among tested cell types.