Project description:. Here we provide a deeper insight into Xenopsylla cheopis salivary glands contents pairing transcriptome and proteomic approaches. Sequencing of 99 pairs of salivary glands from adult females X. cheopis yielded a total of 7,432 coding sequences functionally classified into 25 classes, in which the secreted class was found to be the most abundant one. The translated transcripts also served as a reference database for the proteomic study, which identified peptides from 610 different proteins.
Project description:To screen miRNAs for potential NDRG2 regulation, we performed micronome profiling in 3 pairs of SACC samples and the corresponding normal salivary glands. The sequencing analysis generated approximately 1,000,000 clean reads per sample. All reads were mapped to annotated miRNAs in the miRBase database (version 22), whereas approximately 45% of the clean reads were mapped to mature miRNAs in the database. After applying a stringent filtering criterion to compare the results from SACC tumor tissue and the adjacent normal salivary glands (log2 fold change >1, FDR<0.05), we identified 176 dysregulated miRNAs.
2018-12-25 | GSE117275 | GEO
Project description:The complete mitochondrial genome of Xenopsylla cheopis
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular functions. The goal of this study is to compare NGS-derived salivary gland transcriptome profilings (RNA-seq) to better understand the molecular nature of the physiological differences in adult murine salivary glands. Methods: Major murine salivary gland mRNA profiles were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000. The sequence reads that passed quality filters were analyzed at the gene level with STAR followed by Cufflinks. In vivo NaCl reabsorption measurements were performed for validation. Results: Using an optimized data analysis workflow, we mapped about 15 million sequence reads per sample to the mouse genome (build mm10) and identified 1991 genes that were differentially expressed across three major salivary glands. RNA-seq data provided valuable insights into the nature of the functional differences among the major salivary glands Conclusions: Our study represents the first detailed analysis of murine salivary gland transcriptomes, with biologic replicates, generated by RNA-seq technology. Our results confirm functions of many genes, identified using genetically modified mice. We conclude that RNA-seq-based transcriptome characterization would offer a comprehensive and sensitive evaluation of the gene expression.
Project description:We analyzed ORC2 ChIP-Seq from hand dissected salivary glands of wandering third instar larvae from OrR or SuUR Drosophila. Goals were to ascertain the difference in binding profile between salivary glands expressing and not expressing the Supressor of UnderReplication protein. One replicate is included for each of OrR (WT) or SuUR salivary glands.
Project description:ChIP was performed to identify regions of gDNA bound by H3K27me3 in third instar salivary glands of Drosophila WT and SuUR mutants. This demonstrated that H3K27me3 binds differently in under-replicated in SuUR mutant third instar salivary glands.
Project description:We analyzed ORC2 ChIP-Seq from hand dissected salivary glands of wandering third instar larvae from OrR or SuUR Drosophila. Goals were to ascertain the difference in binding profile between salivary glands expressing and not expressing the Supressor of UnderReplication protein.
Project description:ChIP was performed to identify regions of gDNA bound by orc2 in third instar salivary glands of Drosophila WT and SuUR mutants. This demonstrated that ORC does not localize to regions that are under-replicated in SuUR mutant third instar salivary glands.
