Project description:Purpose: Develop an analytical pipeline for dynamic RNA-seq experiments and highlight the importance of considering surgery effect in MI-induced models Methods: Mice have undergone surgery, hearts were harvested and RNA was extracted, sequenced and analyzed by DESeq2 R package. Differentially expressed transcripts were clustered by WGCNA and then analyzed to identify enriched biological processes and transcription factors. Results: Our pipeline enabled the detection of 1027 DETs. Enriched biological processes were mainly cell signilisation and inflammatory related. IL-6 was found as a key controller of the identified TFs and DETs. Immune cells were recruited to the myocardium later post surgery and some possessed phenotypic changes.
Project description:We developed a Transcriptomic Analysis Pipeline (TAP) as a flexible workflow for comprehensive transcriptome analysis from any species with a reference genome. We tested TAP in a case study to compare polyA+ and rRNA-depletion RNA-seq library protocols using Drosophila melanogaster following different thermal stress temperatures. TAP provides a flexible and complete pipeline to enable researchers to extract more biologically relevant interpretations by integrated and interactive transcriptome analysis.
Project description:RNA sequencing (RNA-seq) has been a widely used high-throughput method to characterize transcriptomic dynamics spatiotemporally. However, typical RNA-seq data analysis pipelines depend on either a sequenced genome or reference transcripts. This constriction makes the use of RNA-seq for species lacking both of sequenced genomes and reference transcripts challenging. To solve this problem, we developed CRSP, an RNA-seq pipeline integrating multiple comparative species strategy but not depending on a specific sequenced genome or reference transcripts. Benchmarking suggests the CRSP tool can achieve high accuracy to quantify gene expression levels.
Project description:This SuperSeries is composed of the following subset Series: GSE21894: Dynamic transcriptomic profiles of zebrafish gills in response to zinc depletion GSE21907: Dynamic transcriptomic profiles of zebrafish gills in response to zinc supplementation. Refer to individual Series
Project description:We report a novel modular pipeline (iMir) for comprehensive analysis of miRNA-Seq data, from linker removal and sequence quality check to differential expression and biological target prediction, integrating multiple open source modules and resources linker together in an automated flow. Development of an integrated pipeline (iMir) for comprehensive analysis of miRNA-Seq experiment.