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accession-icon SRP127390
RNA profiling of the liver and gut tissues in zebrafish (Danio rerio) [mRNA]
  • organism-icon Danio rerio
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Compared to other fish models, miRNAs are currently most extensively studied and identified in zebrafish. Approximately 415 dre-miRNAs have been identified and several articles have studied some aspect of miRNA function in zebrafish such as their role in basic development and in disease pathways. However, this field of research is in its infancy and the function of several dre-miRNAs, as well as their tissue-specific expression profile, are yet to be defined. In this study, the liver and gut were dissected (wildtype/untreated fish), total and small RNA were extracted, mRNA and miRNA libraries constructed and subjected to high throughput sequencing (HTS) using standard approaches. We carried out differential expression (DE) analysis and compared liver miRNA expression to gut using established bioinformatics pipelines. Through bioinformatics analysis, known and putative novel miRNAs were identified. Finally, we constructed a “miRNA matrix” that connects both total RNA-Seq and miRNA-Seq. Overall design: Examination of transcriptome in an in vivo model organism in two defined tissues, liver and gut.

Publication Title

Interplay Between MicroRNAs and Targeted Genes in Cellular Homeostasis of Adult Zebrafish (<i>Danio rerio</i>).

Sample Metadata Fields

Sex, Specimen part, Subject

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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