Evidence map›Paper›PMID 20940332›Full record

ArticleMolecular & cellular proteomics : MCP2011

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

Sookkasem Khositseth, Trairak Pisitkun, Dane H Slentz, Guanghui Wang, Jason D Hoffert, Mark A Knepper, Ming-Jiun Yu

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Proteomics and AQP2 regulation.The Journal of physiology · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Bayesian identification of candidate transcription factors for the regulation ofAmerican journal of physiology. Renal physiology · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Quantitative Proteomics of All 14 Renal Tubule Segments in Rat.Journal of the American Society of Nephrology : JASN · 2020
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Systems-level identification of PKA-dependent signaling in epithelial cells.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Sookkasem KhositsethEpithelial Systems Biology Laboratory, NHLBI, National Institutes of Health, Bethesda, MD 20892-1603, USA.
Trairak Pisitkun
Dane H Slentz
Guanghui Wang
Jason D Hoffert
Mark A Knepper
Ming-Jiun Yu
National Heart Lung and Blood Institute · USNational Institutes of Health · US

Funding

Solute And Water Transport In Renal EpitheliaZIAHL001285 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KNEPPER, MARK · 2009 to 2025
$34.9M
Computational Tools for ProteomicsZIAHL006129 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KNEPPER, MARK · 2011 to 2025
$8.1M
SOLUTE AND WATER TRANSPORT IN RENAL EPITHELIAZ01HL001285 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KNEPPER, MARK A · 1998 to 2008
$3.8M
Urinary ExosomesZIAHL006128 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KNEPPER, MARK · 2011 to 2019
$354k
Intramural NIH HHS Z01 HL001285
6 · The paper itself

Abstract

Previous studies in yeast have supported the view that post-transcriptional regulation of protein abundances may be more important than previously believed. Here we ask the question: "In a physiological regulatory process (the response of mammalian kidney cells to the hormone vasopressin), what fraction of the expressed proteome undergoes a change in abundance and what fraction of the regulated proteins have corresponding changes in mRNA levels?" In humans and other mammals, vasopressin fulfills a vital homeostatic role (viz. regulation of renal water excretion) by regulating the water channel aquaporin-2 in collecting duct cells. To address the question posed, we utilized large-scale quantitative protein mass spectrometry (LC-MS/MS) employing stable isotopic labeling in cultured mpkCCD cells ('SILAC') coupled with transcriptomic profiling using oligonucleotide expression arrays (Affymetrix). Preliminary studies analyzing two nominally identical control samples by SILAC LC-MS/MS yielded a relative S.D. of 13% (for ratios), establishing the precision of the SILAC approach in our hands. We quantified nearly 3000 proteins with nontargeted SILAC LC-MS/MS, comparing vasopressin- versus vehicle-treated samples. Of these proteins 786 of them were quantified in each of 3 experiments, allowing statistical analysis and 188 of these showed significant vasopressin-induced changes in abundance, including aquaporin-2 (20-fold increase). Among the proteins with statistically significant abundance changes, a large fraction (at least one-third) was found to lack changes in the corresponding mRNA species (despite sufficient statistical power), indicating that post-transcriptional regulation of protein abundance plays an important role in the vasopressin response. Bioinformatic analysis of the regulated proteins (versus all transcripts) shows enrichment of glutathione S-transferase isoforms as well as proteins involved in organization of the actin cytoskeleton. The latter suggests that long-term regulatory processes may contribute to actomyosin-dependent trafficking of the water channel aquaporin-2. The results provide impetus for increased focus on translational regulation and regulation of protein degradation in physiological control in mammalian epithelial cells.

Indexed as

AnimalsBiological PhenomenaChromatography, LiquidGene Expression ProfilingGene Expression RegulationImmunoblottingIsotope LabelingKidney Tubules, CollectingMass SpectrometryMiceOligonucleotide Array Sequence AnalysisProteomeProteomicsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerTime FactorsProteomeRNA, MessengerVasopressins

Identifiers

PMID20940332
PMCPMC3013460
OpenAlexW2121199901

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.