Project description:Allergy is one of the least understood immunological response partly due to the diversity of allergens and the complexity of immune response against them. In allergic responses, mast cells are key players with their ability to rapidly degranulate and also generate de novo lipids and transcripts. Although the molecular details of degranulation in mast cell were studied in allergic inflammation, the transcriptional response involving chromatin remodeling, enhancer dynamics and long non-coding RNA (lncRNA) expression are largely unexplored. Here, using mouse bone marrow derived mast cells (BMMCs), we characterized the steady state, immunoglobulin E (IgE) and antigen (Ag) mediated epigenetic changes in mast cell chromatin and described the enhancer, super-enhancer and mRNA, lncRNA catalogue in these cells.
Project description:In patients with mast cell leukemia, the CD34+ bone marrow fraction contains a subset of disease-initiating and propagating cells. The aim of this study was to compare the gene expression profile of these cells with that of CD34+ cells obtained from the bone marrow of healthy donors, in order to find aberrantly expressed genes and pathways.
Project description:CD34+ CD117+ cells in human peripheral blood have mast cell-forming capacity. We have identified highly committed mast cell progenitors as Lin- CD34+ CD117 intermediate/high FcεRI+ cells. To explore the gene expression profile of the highly committed mast cell progenitors, we performed whole-transcriptome microarray analyses of the cells and compared them with mature basophils.
Project description:We are interested in comparing expression patterns of hematopoletic stem cells, mast cell precursors and mature mast cells. Our group recently reported that murine mast cells express CD34, Sca-1 and c-kit. Microarray analysis may uncover other novel surface antigens useful in separating mast cells from stem cells. Experiment Overall Design: this experiment include 2 samples and 12 replicates
Project description:Background: Exosomes are nanovesicles of endocytic origin believed to be involved in communication between cells. Recently, it has been shown that mast cell exosomes contain RNA named "exosomal shuttle RNA". The aim of this study was to evaluate whether exosomal shuttle RNA could play a role in the communication between human mast cells and between human mast cells and human CD34 positive progenitor cells. Results: Exosomes from the human mast cell line HMC-1 contain RNA. The exosomes contain no or very little ribosomal RNA compared to their donor cells. The mRNA and microRNA content in exosomes and their donor cells was examined using microarray analyses. We found 116 microRNA in the exosomes and 134 microRNA in the cells, from which some were expressed at different level. DNA microarray experiments revealed the presence of approximately 1800 mRNAs in the exosomes, which represent 15% of the donor cell mRNA content. Transfer experiments revealed that exosomes and their RNA can transfer to other HMC-1 cells and to CD34 positive progenitors. Conclusions: To conclude, HMC-1 exosomes contain mRNA and microRNA that can be transferred to other mast cells and to CD34 progenitors. This shuttle of exosomal RNA may represent a powerful mode of communication between cells where cells send genetic information to other cells over a distance via exosomes. [miRNA profiling] Identification of microRNA was performed by Exiqon (www.exiqon.com). Briefly, the quality of the total RNA was verified by an Agilent 2100 Bioanalyzer. Total RNA from the exosome and the HMC-1 cell samples were labelled with Hy3 and Hy5 fluorescent stain, respectively, using the miRCURY Hy3/Hy5 power labelling kit. The Hy3-labelled exosome samples and a Hy5-labeled mast cells were mixed pair-wise and hybridized to the miRCURY? LNA array (v9.2). The hybridization was performed according to the miRCURY? LNA array manual using a Tecan HS4800 hybridization station (Tecan Systems, Inc. San Jose, CA). The miRCURY? LNA array microarray slides were scanned by a ScanArray 4000 XL scanner (Packard Biochip Technologies, Billerica, MA ,USA) and the image analysis was carried out using the ImaGene 6.1.0 software (BioDiscovery, Inc, El Segundo, CA USA). The quantified signals were normalized using the global Lowess (LOcally WEighted Scatterplot Smoothing) regression algorithm. MicroRNA with signals equal to or below the background signal in 2 or more of the 4 replicate measurements were identified as absent in that slide. The limit for a miRNA to be listed as detectable was set to signal intensities higher than 3 x background (3 x median Hy3 or Hy5 for the total slide). In addition, where signals were detected for <3 of the slides, they were considered unreliable and excluded from sets of detected miRNAs. The experiment was performed in triplicate samples. The signal was calculated as the mean value of the log2MeanRatio Hy3/Hy5 for the triplicates ± SD.
Project description:We are interested in comparing expression patterns of hematopoletic stem cells, mast cell precursors and mature mast cells. Our group recently reported that murine mast cells express CD34, Sca-1 and c-kit. Microarray analysis may uncover other novel surface antigens useful in separating mast cells from stem cells. Keywords: other