Project description:Skeletal elements from the feather star Anneissia japonica were isolated and stripped of organic material. The skeleton was then demineralized and the occluded proteins isolated. The proteins were separated by SDS-PAGE and fractions were analyzed by LC-MS/MS. The results were compared to predicted proteins encoded by the genome. The proteins found in the organic matrix of the skeleton were compared to those found in other skeletons both within Echinodermata and to other taxa.
Project description:We employed HITS-CLIP to map genome wide Star-PAP mRNA binding and define the role of RBM10 on global Star-PAP mRNA association. We show a transcriptome-wide association of Star-PAP which is diminished on cellular Star-PAP depletion. HITs-CLIP data analysis of RBM10 knockdown and pulldown with anti Star-PAP antibody on HEK293 cells indicates significance of RBM10 in Star-PAP and mRNA association.
Project description:Strain ∆staRPZnstaR was obtained to investigate genome-wide differential gene expresion when staR gene is reppressed or overexpressed by adding Zn to the culture medium. In addition, gene expression profile alterations produced upon inhibition of gyrase with Novobiocin were studied in the absence and presence of StaR.
Project description:Microarray expression profiling of manually sorted m-citirin-labeled layer 4 visual cortex star pyramid neurons from deprived and non-deprived hemispheres. Monocular deprivation by TTX-injection (at P12-13 and again at P13-14), followed by manual sorting of m-Citrin-labeled Layer 4 Visual Cortex Star Pyramid neurons in deprived and non-deprived hemispheres. RNA was extracted using PicoPure RNA Isolation Kit, reverse transcribed, and amplified using a standard T7 IVT protocol (Affymetrix Small Sample Target Labeling Assay Version II).
Project description:Purpose: The aim of this study is to determine the expression profile in whole blood samples of children infected with respiratory syncytial virus and other respiratory viruses. Method: Host mRNA profiles in whole blood samples of children were generated by next-generation sequencing using Illumina Hiseq. Sequence reads were trimmed for adapter using skewer, mapped to reference human genome using STAR, and quantified using RSEM. Differential expression analysis was performed using DESeq2. Results: Transcriptional module analysis revealed dysregulation of genes related to inflammatory response, neutrophils, monocytes, B-cell and T-cell response. Conclusion: This study showed an imbalance in innate and adaptive immune responses in children with respiratory virus infections. This study also showed that NGS provides a comprehensive assessment of transcripts in whole blood samples.