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accession-icon SRP019189
Transcriptome and transposable element dynamics during PIWI regulation in Drosophila ovarian cell cultures
  • organism-icon Drosophila melanogaster
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

This study examines the regulatory capacity of the Piwi protein in the Drosophila OSS cell. Piwi CLIP-Seq, mRNA-Seq and nascent RNAseq datasets were integrated to determine how Piwi proteins where using piRNAs and binding interactions to regulate the expression of transcripts. We also sequenced the genomes of various OSS cell lines. Overall design: We first performed several replicates of a Piw CLIP-Seq experiment to isolate RNA fragments as CLIP-tags to discover which transcripts are preferentially bound by the Piwi protein. Then we performed several types of mRNA expression profiling experiments using several forms of mRNA-Seq library construction formats. Finally, we sequenced the genomes from various OSS cell lines. The genomic sequencing component of the study is represented by BioProject PRJNA240323. The genomic sequencing raw data have been deposited at SRA (SRP039565).

Publication Title

Transposable element dynamics and PIWI regulation impacts lncRNA and gene expression diversity in Drosophila ovarian cell cultures.

Alternate Accession IDs

GSE45112

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE70457
Whole-genome profiling of the liver transcriptome in Trpm6 gene deficient mice and control littermates.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To attain deeper insight into metabolic alterations in Trpm6 gene deficient mice we used microarrays for profiling of hepatic transcripts of Trpm6 ko and control mice.

Publication Title

Epithelial magnesium transport by TRPM6 is essential for prenatal development and adult survival.

Alternate Accession IDs

E-GEOD-70457

Sample Metadata Fields

Sex, Age

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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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