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accession-icon GSE76144
Changes in transcriptome during excisional cutaneous murine wound healing
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Using microarray analysis, we explored the differences in gene expression in wounded and intact skin using murine model. Injured skin samples were examined at days 1 and 4 post injury.

Publication Title

Receptor Mincle promotes skin allergies and is capable of recognizing cholesterol sulfate.

Sample Metadata Fields

Specimen part, Time

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accession-icon SRP026129
Late life rapamycin treatment reverses age-related heart dysfunction
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report the mRNA profile of aged mice (24 months old) fed either a control diet or a diet containing Rapamycin (14 ppm) for 3 months. After drug treatement, the hearts of the mice were removed and total mRNA was removed from the tissue. Analysis revealed that there were 700 significantly differentially expressed genes between the control fed group and the Rapamycin diet group by our analysis. Overall design: Heart tissue samples from age-matched control mice (n=10) and rapamycin fed mice (n=10) were extracted for total RNA. The samples were sequenced using Illumina HiSeq 2000 (50 basepair paired-end sequencing). The sequencing yielded quality scores greater than 30 with an average of 10 million reads per sample. 34,293 genes were mapped back to the MGSCv37 C57BL/6J mouse genome (maximum paired distance=300 and minimum=130, minimum number of reads per mapping = 5, maximum number of mismatches= 2, with the reads being mapped to unique sites in the genome).

Publication Title

Late-life rapamycin treatment reverses age-related heart dysfunction.

Sample Metadata Fields

Age, Specimen part, Treatment, 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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