Dataset Information

ExpressAnalyst: a unified platform for RNA-seq analysis in non-model species

ABSTRACT: The increasing application of RNA-seq to study non-model species demands easy-to-use and efficient bioinformatics tools to help researchers quickly uncover biological and functional insights. We developed ExpressAnalyst (www.expressanalyst.ca), a web-based tool for processing, analyzing, and interpreting RNA-seq data from any eukaryotic species. ExpressAnalyst contains a series of modules that enable raw data processing and annotation of FASTQ files, and statistical and functional analysis of counts tables and gene lists. All modules are integrated with EcoOmicsDB, an ortholog database that enables comprehensive analysis for species without a reference transcriptome. By coupling ultra-fast read mapping algorithms with high-resolution ortholog databases through a user-friendly web interface, ExpressAnalyst enables researchers to obtain global expression profiles and gene-level insights from raw RNA-seq reads within 24 hours. Here, we present ExpressAnalyst and demonstrate its utility with a case study of RNA-seq data from multiple non-model salamander species, including two that do not have a reference transcriptome.

ORGANISM(S): Homarus americanus

PROVIDER: GSE225876 | GEO | 2023/04/27

REPOSITORIES: GEO

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Project description:Background. The mosquito, Anopheles gambiae, is the primary vector of human malaria, a disease responsible for millions of deaths each year. To improve strategies for controlling transmission of the causative parasite, Plasmodium falciparum, we require a thorough understanding of the developmental mechanisms, physiological processes and evolutionary pressures affecting life-history traits in the mosquito. Identifying genes expressed in particular tissues or involved in specific biological processes is an essential part of this process. Results. In this study, we present transcription profiles for ~82% of annotated Anopheles genes in dissected adult male and female tissues. The sensitivity afforded by examining dissected tissues found gene activity in an additional 20% of the genome that is undetected when using whole-animal samples. The somatic and reproductive tissues we examined each displayed patterns of sexually dimorphic and tissue-specific expression. By comparing expression profiles with Drosophila melanogaster we also assessed which genes are well conserved within the Diptera versus those that are more recently evolved. Conclusions. Our expression atlas and associated publicly available database, the MozAtlas (www.tissue-atlas.org), provides information on the relative strength and specificity of gene expression in several somatic and reproductive tissues, isolated from a single strain grown under uniform conditions. The data will serve as a reference for other mosquito researchers by providing a simple method for identifying where genes are expressed in the adult, however, in addition our resource will also provide insights into the evolutionary diversity associated with gene expression levels among species. MozAtlas is composed of data covering 15 distinct adult tissues with 4 replicates using Affymetrix chips. To provide other researchers with the ability to compare their own experiments with our analyses, we have constructed a database and web-browser for querying tissue expression in Anopheles. This framework will in the future be expanded to include additional tissues and developmental stages, as well as additional species when available.

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ExpressAnalyst: a unified platform for RNA-seq analysis in non-model species

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