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accession-icon SRP022904
Somatic piRNAs in the adult mouse
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Small RNAs were deep sequenced from the liver and spleen of adult mice in an effort to identify somatic piRNAs. Following sequencing of all small RNAs, known non-coding RNAs were computationally removed from the dataset. The remaining RNAs were then mapped to the genome and analyzed for sequence characteristics (5'' base, length) typical of known piRNAs. To determine if any of the identified small RNAs were MIWI2 dependent, we deep sequenced small RNAs from liver and spleen of MIWI2 KO mice and analyzed them as above. Overall design: We deep sequenced small RNAs from the liver and spleen of one WT mouse and one MIWI2 knock-out mouse. We then trimmed sequencing adapters and removed known ncRNAs (rRNA, tRNA, snoRNA, snRNA, miRNA) from the dataset before aligning reads to the mm9 assembly of the mouse genome.

Publication Title

piRNA-like small RNAs mark extended 3'UTRs present in germ and somatic cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE44272
The Long-HER Study
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Trastuzumab improves survival outcomes in patients with HER2+ metastatic breast cancer. Some of these patients may become long-term survivors. The Long-Her study was designed to identify clinical and molecular markers that could differentiate long-term survivors from patients having early progression to trastuzumab.

Publication Title

The Long-HER study: clinical and molecular analysis of patients with HER2+ advanced breast cancer who become long-term survivors with trastuzumab-based therapy.

Sample Metadata Fields

Age, Disease

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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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