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accession-icon GSE19938
Expression data from mouse collecting duct cell, mpkCCD, in response to a peptide hormone vasopressin analog, dDAVP
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
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Description

Vasopressin is the major hormone that regulates renal water excretion. It does so by binding to a receptor in renal collecting duct cells, triggering signaling pathways that ultimately regulate the abundance, location, and activity of the water channel protein aquaporin 2. We took an advantage of quantitative large scale proteomic technologies and oligonucleotide microarrays to quantify steady state changes in protein and transcript abundances in response to vasopressin in a collecting duct cell line, mpkCCD clone 11 (Yu et al. PNAS 2009, 106:2441-2446). This cell line originally developed by Alan Vandewalles group recapitulates vasopressin-mediated AQP2 expression and phosphorylation as seen in native colleting duct cells.

Publication Title

Quantitative protein and mRNA profiling shows selective post-transcriptional control of protein expression by vasopressin in kidney cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE13672
Mouse mpkCCD cells, Rat Kidney Proximal Tubule, and Rat Kidney Medullary Thick Ascending Limb
  • organism-icon Mus musculus, Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

A series contains a set of transcript intensity values measured by Affymetrix microarray.

Publication Title

Systems-level analysis of cell-specific AQP2 gene expression in renal collecting duct.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE13667
mpkCCD_Cell_Clones
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

This series of microarray data contain transcript intensity of mpkCCD cells.

Publication Title

Systems-level analysis of cell-specific AQP2 gene expression in renal collecting duct.

Sample Metadata Fields

No sample metadata fields

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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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