Evidence map›Paper›PMID 19482600›Full record

ReviewFrontiers in bioscience (Landmark edition)2009

Regulation of cell proliferation and differentiation in the kidney.

Neal I Alcalay, Gregory B Vanden Heuvel

Open access · bronzeAbstract readReview
In one paragraph

Review in Frontiers in bioscience (Landmark edition), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Are Alterations in DNA Methylation Related to CKD Development?International journal of molecular sciences · 2022
    Review
  4. Article
  5. Article
  6. Review
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  11. Review
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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

2 authors at 1 institution in 1 country.

Neal I AlcalayDepartment of Anatomy, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Gregory B Vanden Heuvel
University of Kansas Medical Center · US

Funding

Cux-1 and Cell Cycle Regulation in Kidney DevelopmentR01DK058377 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI VANDEN HEUVEL, GREGORY B · 2001 to 2009
$2.4M
NIDDK NIH HHS DK58377NIDDK NIH HHS R01 DK058377
6 · The paper itself

Abstract

The mammalian cut proteins are a broadly expressed family of nuclear transcription factors related to the Drosophila protein cut. One member of the cut family, Cux1, has been shown to function as a cell cycle dependent transcription factor, regulating the expression of a number of cell cycle regulatory proteins. Cux1 expression is developmentally regulated in multiple tissues suggesting an important regulatory function. Cux1 exists as multiple isoforms that arise from proteolytic processing of a 200 kD protein or use of an alternate promoter. Several mouse models of Cux1 have been generated that suggest important roles for this gene in cell cycle regulation during hair growth, lung development and maturation, and genitourinary tract development. Moreover, the aberrant expression of Cux1 may contribute to diseases such as polycystic kidney disease and cancer. In this review, we will focus on the phenotypes observed in the five existing transgenic mouse models of Cux1, and discuss the role of Cux1 in kidney development and disease.

Indexed as

AnimalsCalcineurinCell CycleCell DifferentiationCell ProliferationDisease Models, AnimalGene Expression Regulation, DevelopmentalHomeodomain ProteinsKidneyMiceMice, Mutant StrainsMice, TransgenicNuclear ProteinsPhenotypePolycystic Kidney DiseasesRepressor ProteinsCalcineurinCux1 protein, mouseHomeodomain ProteinsNuclear ProteinsRepressor Proteins

Identifiers

PMID19482600
PMCPMC2749561
OpenAlexW325121657

What OpenQuestion holds

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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.