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MeDAS: a Metazoan Developmental Alternative Splicing database. | LitMetric

MeDAS: a Metazoan Developmental Alternative Splicing database.

Nucleic Acids Res

Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Laboratory Medicine, State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University, Chengdu 610041, China.

Published: January 2021

AI Article Synopsis

  • Alternative splicing enhances the diversity of transcripts in eukaryotes and is crucial for development, showing precise regulation over time.
  • A new resource called MeDAS has been developed to study these splicing events by re-analyzing RNA-seq data from various species during different developmental stages.
  • MeDAS includes data from 2232 RNA-seq libraries across 18 species, available for free, allowing users to explore alternative splicing through an interactive platform based on specific genes, tissues, or species.

Article Abstract

Alternative splicing is widespread throughout eukaryotic genomes and greatly increases transcriptomic diversity. Many alternative isoforms have functional roles in developmental processes and are precisely temporally regulated. To facilitate the study of alternative splicing in a developmental context, we created MeDAS, a Metazoan Developmental Alternative Splicing database. MeDAS is an added-value resource that re-analyses publicly archived RNA-seq libraries to provide quantitative data on alternative splicing events as they vary across the time course of development. It has broad temporal and taxonomic scope and is intended to assist the user in identifying trends in alternative splicing throughout development. To create MeDAS, we re-analysed a curated set of 2232 Illumina polyA+ RNA-seq libraries that chart detailed time courses of embryonic and post-natal development across 18 species with a taxonomic range spanning the major metazoan lineages from Caenorhabditis elegans to human. MeDAS is freely available at https://das.chenlulab.com both as raw data tables and as an interactive browser allowing searches by species, tissue, or genomic feature (gene, transcript or exon ID and sequence). Results will provide details on alternative splicing events identified for the queried feature and can be visualised at the gene-, transcript- and exon-level as time courses of expression and inclusion levels, respectively.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779033PMC
http://dx.doi.org/10.1093/nar/gkaa886DOI Listing

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