ArticleBMC genomics2007
Discovery of novel alternatively spliced C. elegans transcripts by computational analysis of SAGE data.
Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- RNA-seq analysis of the C. briggsae transcriptome.Genome research · 2012Article
- Distinct mechanisms for delimiting expression of four Caenorhabditis elegans transcription factor genes encoding activators or repressors.Molecular genetics and genomics : MGG · 2011Article
- Identifying novel genes in C. elegans using SAGE tags.BMC molecular biology · 2010Article
- Deep SAGE analysis of the Caenorhabditis elegans transcriptome.Nucleic acids research · 2010Article
- Genomic landscape of developing male germ cells.Birth defects research. Part C, Embryo today : reviews · 2009Review
- In vivo analysis of Caenorhabditis elegans noncoding RNA promoter motifs.BMC molecular biology · 2008Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundAlternative RNA splicing allows cells to produce multiple protein isoforms from one gene. These isoforms may have specialized functions, and may be tissue- or stage-specific. Our aim was to use computational analysis of SAGE and genomic data to predict alternatively spliced transcripts expressed in C. elegans.
resultsWe predicted novel alternatively spliced variants and confirmed five of eighteen candidates selected for experimental validation by RT-PCR tests and DNA sequencing.
conclusionWe show that SAGE data can be efficiently used to discover alternative mRNA isoforms, including those with skipped exons or retained introns. Our results also imply that C. elegans may produce a larger number of alternatively spliced transcripts than initially estimated.
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Registered trials
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