Project description:Purpose: Deconstructing the soil microbiome into reduced-complexity functional modules represents a novel method of microbiome analysis. The goals of this study are to confirm differences in transcriptomic patterns among five functional module consortia. Methods: mRNA profiles of 3 replicates each of functional module enrichments of soil inoculum in M9 media with either 1) xylose, 2) n-acetylglucosamine, 3) glucose and gentamycin, 4) xylan, or 5) pectin were generated by sequencing using an Illumina platform (GENEWIZ performed sequencing). Sequence reads that passed quality filters were aligned to a soil metagenome using Burrows Wheeler Aligner. Resulting SAM files were converted to raw reads using HTSeq, and annotated using Uniref90 or EGGNOG databases. Results: To reduce the size of the RNA-Seq counts table and increase its computational tractability, transcripts containing a minimum of 75 total counts, but no more than 3 zero counts, across the 15 samples were removed. The subsequent dataset was normalized using DESeq2, resulting in a dataset consisting of 6947 unique transcripts across the 15 samples, and 185,920,068 reads. We identified gene categories that were enriched in a sample type relative to the overall dataset using Fisher’s exact test. Conclusions: our dataset confirms that the functional module consortia generated from targeted enrichments of a starting soil inoculum had distinct functional trends by enrichment type.
Project description:Temperature is an important ecological condition, and sudden temperature changes in soil can induce stress in soil-dwelling invertebrates. Soil animals can move to more favorable habitats and/or adapt physiologically to a stressful environment. Hyperthermic conditions will impact gene expression as one of the first steps. We use a transcriptomics approach to identify the transcripts of which expression changed in response to heat stress in the springtail Folsomia candida using a 5,131 probe microarray. A temperature shift from 20°C to 30°C for 30 minutes significantly altered the expression of 142 genes, of which 116 were upregulated, and 26 downregulated. Many upregulated genes encoded heat shock proteins (Hsps) or enzymes involved in the synthesis of ATP, such as members of the electron transport chain. Furthermore, genes involved in oxidative stress and anion-transporting ATPases were upregulated. Downregulated were glycoside hydrolases, involved in catalysis of certain disaccharides, which indicate an accumulation of stress-protective disaccharides. The microarray results from this study, which were validated using quantitative RT PCR, reveal a mild response to heat shock in this soil invertebrate, relative to other organisms. This may be due to specific ecological factors during evolution of soil invertebrates, such as the relatively stable temperatures in the soil habitat. This study presents potential candidate genes for future functional studies concerning thermal stress in soil-dwelling invertebrates, like e.g., the investigation of the heat hardening process.
Project description:Purpose: The goal of this study is to compare endothelial small RNA transcriptome to identify the target of OASL under basal or stimulated conditions by utilizing miRNA-seq. Methods: Endothelial miRNA profilies of siCTL or siOASL transfected HUVECs were generated by illumina sequencing method, in duplicate. After sequencing, the raw sequence reads are filtered based on quality. The adapter sequences are also trimmed off the raw sequence reads. rRNA removed reads are sequentially aligned to reference genome (GRCh38) and miRNA prediction is performed by miRDeep2. Results: We identified known miRNA in species (miRDeep2) in the HUVECs transfected with siCTL or siOASL. The expression profile of mature miRNA is used to analyze differentially expressed miRNA(DE miRNA). Conclusions: Our study represents the first analysis of endothelial miRNA profiles affected by OASL knockdown with biologic replicates.
Project description:A cDNA library was constructed by Novogene (CA, USA) using a Small RNA Sample Pre Kit, and Illumina sequencing was conducted according to company workflow, using 20 million reads. Raw data were filtered for quality as determined by reads with a quality score > 5, reads containing N < 10%, no 5' primer contaminants, and reads with a 3' primer and insert tag. The 3' primer sequence was trimmed and reads with a poly A/T/G/C were removed