Project description:Lipids play an important role in energy storage, membrane structure stabilization and signaling. Parasitoids are excellent models to study lipidomics because a majority of them do not accumulate during their free-living life-stage. Studies on parasitoids have mostly focused on the changes in the lipids and gene transcripts in hosts and little attention has been devoted to lipidomics and transcriptomics changes in parasitoids. In this study, a relative quantitative analysis of lipids and their gene transcripts in 3-days-old Lysiphlebia japonica larva (3 days after spawning) and pupae were performed using liquid chromatography, mass spectrometry and RNA-seq. Thirty-three glycerolipids and 250 glycerophospholipids were identified in this study; all triglycerides and the vast majority of phospholipids accumulated in the pupal stage. This was accompanied by differentially regulated lipid uptake and remolding. Furthermore, our data showed that gene transcription was up-regulated in key nutrient metabolic pathways involved in lipid synthesis in 3-days-old larvae. Finally, our data suggests that larva and pupa of L. japonica may lack the ability for fatty acids synthesis. A comprehensive, quantitative, and expandable resource was provided for further studies of metabolic regulation and molecular mechanisms underlying parasitic response to hosts defense.
Project description:We undertook four mammalian transcriptomics experiments to compare the effect of read mapping, feature counting and differential expression analysis using single-end (SE) and paired-end (PE) protocols. For three of these experiments we also compared a non-stranded (NS) and a strand-specific approach to mapping the paired-end data.
Project description:Purpose: To chart the human myometrial transcriptomes before and after the onset of labour. Methods: Tophat splice junction mapping of paired-end reads, HTSeq to generate counts, cufflinks to track transcripts, DESeq, edgeR and baySeq to detect differentially expressed genes and principal component analysis for clustering analyses. Results: We mapped on average 14 million paired-end reads per sample (counting each end individually) to the human genome (build hg19) and covered the expressed transcriptome about 13 times with a TopHat-HTSeq workflow. We performed a comparative analysis with an analogous microarray study (Mittal et al., 2010) and found some overlap between the RNA-seq and the microarray data. Conclusions: Our study is the first RNA-seq study of the human myometrium before and after the onset of labour. We show that while microarray and RNA-seq studies may complement each other, RNA-seq has a much greater resolution. At term with and at term without labour human myometrial mRNA profiles were generated by deep sequencing, using Illumina GAIIx (five biological replicates each).
Project description:Purpose: To chart the human myometrial transcriptomes before and after the onset of labour. Methods: Tophat splice junction mapping of paired-end reads, HTSeq to generate counts, cufflinks to track transcripts, DESeq, edgeR and baySeq to detect differentially expressed genes and principal component analysis for clustering analyses. Results: We mapped on average 14 million paired-end reads per sample (counting each end individually) to the human genome (build hg19) and covered the expressed transcriptome about 13 times with a TopHat-HTSeq workflow. We performed a comparative analysis with an analogous microarray study (Mittal et al., 2010) and found some overlap between the RNA-seq and the microarray data. Conclusions: Our study is the first RNA-seq study of the human myometrium before and after the onset of labour. We show that while microarray and RNA-seq studies may complement each other, RNA-seq has a much greater resolution.
