Evidence map›Paper›PMID 22114206›Full record

ReviewAmerican journal of physiology. Renal physiology2012

Gene expression databases for kidney epithelial cells.

Jennifer C Huling, Trairak Pisitkun, Jae H Song, Ming-Jiun Yu, Jason D Hoffert, Mark A Knepper

Abstract readReview
In one paragraph

Review in American journal of physiology. Renal physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

22 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Hydrogen peroxide (HScientific reports · 2021
    Article
  4. Complement C1r serine protease contributes to kidney fibrosis.American journal of physiology. Renal physiology · 2019
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. BIG: a large-scale data integration tool for renal physiology.American journal of physiology. Renal physiology · 2016
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Quantitative apical membrane proteomics reveals vasopressin-induced actin dynamics in collecting duct cells.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  16. Article
  17. Article
  18. Article
  19. Systems biology in physiology: the vasopressin signaling network in kidney.American journal of physiology. Cell physiology · 2012
    Review
  20. Prostaglandin E2 EP3 receptor regulates cyclooxygenase-2 expression in the kidney.American journal of physiology. Renal physiology · 2012
    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

6 authors at 2 institutions in 1 country.

Jennifer C HulingNational Institutes of Health. 10 Center Dr;. Bldg 10, Rm. 6N260, Bethesda, MD 20892-1603, USA.
Trairak Pisitkun
Jae H Song
Ming-Jiun Yu
Jason D Hoffert
Mark A Knepper
National Institutes of Health · USNational Heart Lung and Blood Institute · 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 HL001285NHLBI NIH HHS ZO1-HL001285
6 · The paper itself

Abstract

The 21st century has seen an explosion of new high-throughput data from transcriptomic and proteomic studies. These data are highly relevant to the design and interpretation of modern physiological studies but are not always readily accessible to potential users in user-friendly, searchable formats. Data from our own studies involving transcriptomic and proteomic profiling of renal tubule epithelia have been made available on a variety of online databases. Here, we provide a roadmap to these databases and illustrate how they may be useful in the design and interpretation of physiological studies. The databases can be accessed through http://helixweb.nih.gov/ESBL/Database.

Indexed as

Databases, GeneticGene Expression ProfilingDatabase Management SystemsEpithelial CellsHumansKidney Tubules

Identifiers

PMID22114206
PMCPMC3289419
OpenAlexW2112925825

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.