Project description:Healthy Kenyan children with (n=10) or without (n=14) a previous history of complicated Plasmodium falciparum infection had aliquots of their whole-blood cultured ex-vivo and either mock infected or infected with Plasmodium falciparum (A4 strain) for 5 (n=24) and 9 hours (n=11). A clinical history design type is where the organisms clinical history of diagnosis, treatments, e.g. vaccinations, surgery etc. Time: lenght of co-culture Infection: whole-blood cells cultured ex-vivo in the presence of either uninfected red blood cells or red blood cells infected with Plasmodium falciparum Disease State: Healthy individuals with (PrevHxMal) or without (NoHxMal) previous exposure to complicated Plasmodium falciparum infection clinical_history_design
Project description:Transcriptomes fiber and ovules were compared by applying serial analysis of gene expression (SAGE). Keywords: Tissue Comparison We constructed three SAGE libraries and sequenced 57321, 64188, and 69104 tags from fiber, Xu-142 ovule (ovule) and fl mutant ovules (fl) respectively of Upland Cotton, Gossypium hirsutum L. cv. Xu-142.
Project description:Healthy Kenyan children with (n=10) or without (n=14) a previous history of complicated Plasmodium falciparum infection had aliquots of their whole-blood cultured ex-vivo and either mock infected or infected with Plasmodium falciparum (A4 strain) for 5 (n=24) and 9 hours (n=11). A clinical history design type is where the organisms clinical history of diagnosis, treatments, e.g. vaccinations, surgery etc. Time: lenght of co-culture Infection: whole-blood cells cultured ex-vivo in the presence of either uninfected red blood cells or red blood cells infected with Plasmodium falciparum Disease State: Healthy individuals with (PrevHxMal) or without (NoHxMal) previous exposure to complicated Plasmodium falciparum infection
Project description:E12.5 mouse lens epithelium and fiber cells were collected using Leica LMD 6000 Laser microdissection system. Total RNA was isolated from epithelium and fiber cells using Qiagen RNeasy kit
Project description:Epithelial cells and differentiated fiber cells represent distinct compartments in the ocular lens. While previous studies have revealed proteins that are preferentially expressed in epithelial vs. fiber cells, a comprehensive proteomics library comparing the molecular composition of epithelial vs. fiber cells is essential for understanding lens formation, function, disease and regenerative potential, and for efficient differentiation of pluripotent stem cells for modeling of lens development and pathology in vitro. To compare protein composition between the lens epithelium and fibers, we employed tandem mass spectrometry (2DLC/ MS) analysis of micro-dissected mouse P0.5 lenses. Functional classifications of the top 525 identified proteins into gene ontology categories by molecular process and subcellular localization, were adapted for lens. Expression levels of both epithelial and fiber proteomes were compared with their temporal and spatial mRNA levels using E14.5, E16.5, E18.5, and P0.5 RNA-Seq data sets. During this developmental time window, multiple complex biosynthetic and catabolic processes generate the molecular and structural foundation for lens transparency. As expected, crystallins showed a high correlation between their mRNA and protein levels. Comprehensive data analysis confirmed and/or predicted roles for transcription factors (TFs), RNA-binding proteins, translational apparatus including ribosomal heterogeneity and initiation factors, microtubules, cytoskeletal and membrane proteins in lens formation and maturation. Our data highlighted many proteins with unknown function in the lens that were preferentially enriched in epithelium or fibers, setting the stage for future studies to further dissect the roles of these proteins in fiber cell differentiation vs. epithelial cell maintenance. In conclusion, the present proteomic datasets established reference mouse lens epithelium and fiber cell proteomes, provided quantitative analyses of protein and RNA-Seq data, and probed the major proteome remodeling required to form the mature lens fiber cells.
Project description:We combined genome-wide DNA methylation profiling of buccal cells from 47 full-term one-week old infants with accurate measurements of infant fat mass and fat-free mass using air-displacement plethysmography and found no significant a between DNA methylation and infant body composition
Project description:Skeletal muscles are composed of a heterogeneous collection of fiber types with different physiological adaption in response to a stimulus and disease-related conditions. Each fiber has a specific molecular expression of myosin heavy chain molecules (MyHC). So far MyHCs are currently the best marker proteins for characterization of individual fiber types and several proteome profiling studies have helped to dissect the molecular signature of whole muscles and individual fibers. Herein, we describe a mass spectrometric workflow to measure skeletal muscle fiber type-specific proteomes. To bypass the limited quantities of protein in single fibers, we developed a Proteomics high-throughput Fiber Typing (ProFiT) approach enabling profiling of MyHC in single fibers. Aliquots of protein extracts from separated muscle fibers were subjected to capillary LC-MS gradients to profile MyHC isoforms in a 96-well format. Muscle fibers with the same MyHC protein expression were pooled and subjected to proteomic, pulsed-SILAC and phosphoproteomic analysis. Our fiber type-specific quantitative proteome analysis confirmed the distribution of fiber types in the soleus muscle, substantiates metabolic adaptions in oxidative and glycolytic fibers, and highlighted significant differences between the proteomes of type IIb fibers from different muscle groups, including a differential expression of desmin and actinin-3. A detailed map of the Lys-6 incorporation rates in muscle fibers showed an increased turnover of slow fibers compared to fast fibers. In addition, labeling of mitochondrial respiratory chain complexes revealed a broad range of Lys-6 incorporation rates, depending on the localization of the subunits within distinct complexes.