Project description:The N-terminal tail of histone H2A shows evolutionary changes that parallel genome size and aid chromatin compaction. As genome size increases, so does the number of arginines. In contrast, serines corellate with small genomes. Examples for such changes are arginine in position 11 and serine in position 15. To test if these residues affect mRNA levels, we analysed gene expression profiles of S.cerevisiae strains containing either WT or mutant H2A.
Project description:The comparison of trancriptomes was part of the study by Pasternak et al. The goal was to check if BTG4 regulates mRNA polyadenylation during mouse oocyte meiosis. To test this we compared the abundancies of the polyadenylated trancripts in control and Btg4-depleted oocytes.
Project description:We use ChIP-Seq technology to profile the occupancy of histone H2A.Z and its chaperone in HeLa cells genome wide to check if they are co-colocalized.
Project description:The present research proposed generally evaluating strategy named Null-Test for peptide identification algorithm in Shotgun proteomics. The Null-Test method based on random matching can be utilized to check whether the algorithm has a tendency to make a mistake or be over-fitting, thus can validate the reliability of the identification algorithm.
Project description:Interventions: Genomic test CANCERPLEX-JP OncoGuide NCC oncopanel system FndationONe CDx genome profile GUARDANT360 MSI Analysis System BRACAnalysis
Primary outcome(s): Development of genome database
Study Design: Single arm Non-randomized
Project description:We performed high-throughput profiling of gene expression in mouse prefrontal cortex in response to antidepressant treatment. BALB/c mice were treated with sertraline, duloxetine, or water for three weeks. Then we performed forced swim test to check their antidepressant-like behavior. We divided these animals to responder and non-responder based on their behavior in the forced swim test. We then conducted the transcriptomics analysis and found specific and distinct genes in responder and non-responder mice. Our study provided deep insights into the understanding of the molecular mechanisms underlying the behavioral response to antidepressants.
