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RNA sequencing dataset characterizing transcriptomic responses to dietary changes in Caenorhabditis elegans

Transcriptome analysis using next generation sequencing (NGS) technology provides the capability to understand global changes in gene expression throughout a range of tissue samples. The nematode Caenorhabditis elegans (C. elegans) is a well-established genetic system used for analyzing a number of...

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Detalles Bibliográficos
Autores principales: Schumacker, Scott T., Chidester, Chloe A.M., Enke, Raymond A., Marcello, Matthew R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565610/
https://www.ncbi.nlm.nih.gov/pubmed/31223636
http://dx.doi.org/10.1016/j.dib.2019.104006
Descripción
Sumario:Transcriptome analysis using next generation sequencing (NGS) technology provides the capability to understand global changes in gene expression throughout a range of tissue samples. The nematode Caenorhabditis elegans (C. elegans) is a well-established genetic system used for analyzing a number of biological processes. C. elegans are a bacteria-eating soil nematode, and changes in bacterial diet have been shown to cause a number of physiological and molecular changes. Here we used Illumina RNA sequencing (RNA-seq) analysis to characterize the mRNA transcriptome of mixed C. elegans populations fed differing strains of bacteria to further understand dietary changes at the molecular level. Raw FASTQ files for the RNA-seq libraries are deposited in the NCBI Sequence Read Archive (SRA) and have been assigned BioProject accession PRJNA412551.