Project description:Transcriptional regulation of Csf1 expression in fibroblasts has been described to regulate macrophage numbers, at least in vitro. Thus, we examined the expression of Csf1 in fibroblasts across muscles with different metabolic states and macrophage densities.
Project description:Intact mitochondria purified from Arabidopsis thaliana Col-0 seedlings were differentially labeled with iodoTMTs in the presence of different metabolic substrates. Redox proteomes were analyzed in a substrate depleted state and after addition of citrate and 2-oxoglutarate, providing the oxidation states of individual Cys-peptides.
Project description:Transcriptome deep sequencing is a powerful tool for exploring the genetic architecture of complex traits. Gene expression patterns may explain a high degree of the observed phenotypic differences in histochemical and metabolic parameters related to meat quality among different muscles. Utilizing RNA Sequencing, this study characterized the whole transcriptome of nine lamb muscles: Semimembranosus (SM), Semitendinosus (ST), Gluteobiceps (GB), Gluteus medius (GM), Rectus femoris (RF), Supraspinatus (SS), Longissimus lumborum (LL), Adductor (AD) and Psoas major (PS).
Project description:Under continuous, glucose-limited conditions, budding yeast exhibit robust metabolic cycles associated with major oscillations of gene expression and metabolic state. However, how such fluctuations might be coordinately linked to changes in chromatin status is less well understood. Here, we examine the correlated genome-wide transcription and chromatin states across the yeast metabolic cycle (YMC) at unprecedented temporal resolution, revealing a "just in time supply chain" by which specific cellular processes such as ribosome biogenesis are coordinated in time with remarkable precision. We identify distinct chromatin and splicing patterns associated with different gene categories and determine the relative timing of chromatin modifications to maximal transcription. Additionally, we interrogate chromatin modifier occupancy and observe subtly distinct spatial and temporal patterns compared to the modifications themselves. Furthermore, we identify multiple lysine mutants in H3 or H4 tails that disrupt metabolic cycling, supporting a potentially cooperative role of histone modifications in the YMC. 16 time points RNA-seq and ChIP-seq of 8 histone marks over one metabolic cycle, 14 time points ChIP-seq of 3 chromatin modifiers over one metabolic cycle
Project description:Intra-tumor heterogeneity of tumor-initiating cell (TIC) activity drives colorectal cancer (CRC) progression and therapy resistance. Here, we used single-cell mRNA-sequencing (scRNA-seq) of patient-derived CRC models to decipher distinct cell subpopulations based on their transcriptional profiles. Cell type-specific expression modules of stem-like, transit amplifying-like, and differentiated CRC cells resemble differentiation states of normal intestinal epithelial cells. Strikingly, identified subpopulations differ in proliferative activity and metabolic state. In summary, we here show at single-cell resolution that transcriptional heterogeneity identifies functional states during TIC differentiation. Targeting transcriptional states associated to cancer cell differentiation might unravel vulnerabilities in human CRC.
Project description:Over the past six years, literature has shown that sulforaphane (SF) can affect a wide range of genes involved in central metabolism, such as glycolysis, pentose phosphate pathway, TCA cycle, lipid biosynthesis and oxidation. In this experiment, RNA sequencing was performed on HepG2 cells in three glucose environments: no glucos (0 mM), basal (5 mM), and high glucose (25 mM). These environments represent fasting, healthy and insulin-resistant hepatocytes, treated with physiological concentrations (10 µM) SF for 24 h. Differential expression analysis is performed to determine the effect of SF on the transcriptional changes in three different metabolic states in the liver. This experiment addresses the following questions: 1) how do the NRF2 target genes respond under different metabolic states?, and 2) does SF affects the gene expression of genes linked to central metabolism in hepatocytes under different metabolic states?
Project description:We generated a large transcriptome atlas of human skeletal muscles by collecting biopsies from 6 different muscles to determine molecular signatures that may be distinct between leg muscles. The biopsies were collected from gracilis (GR), semitendinosus (ST), vastus lateralis (VL), vastus medialis (VM), rectus femoris (RF), and gastrocnemius lateralis (GL) muscles. We also investigated molecular differences within the muscle by including two biopsies from the middle and distal sides of the semitendinosus muscle (STM and STD, respectively). In total, 128 samples from 20 individuals (aged 25 ± 3.6 yr) were analyzed.