Evidence map›Paper›PMID 23996451›Full record

ReviewPediatric nephrology (Berlin, Germany)2014

Building an atlas of gene expression driving kidney development: pushing the limits of resolution.

S Steven Potter, Eric W Brunskill

Abstract readReview
In one paragraph

Review in Pediatric nephrology (Berlin, Germany), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Review
  2. Dissection of Gene Expression at the Single-Cell Level: scRNA-seq.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  3. Advances in proteomic profiling of pediatric kidney diseases.Pediatric nephrology (Berlin, Germany) · 2022
    Review
  4. Article
  5. Article
  6. A Single-Cell Transcriptome Atlas of the Mouse Glomerulus.Journal of the American Society of Nephrology : JASN · 2018
    Article
  7. Article
  8. The nephrologist of tomorrow: towards a kidney-omic future.Pediatric nephrology (Berlin, Germany) · 2017
    Review
  9. 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

2 authors.

S Steven PotterDivision of Developmental Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, 45229, USA, steven.potter@cchmc.org.
Eric W Brunskill

Funding

Proteomics CoreP50DK096418 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI DEVARAJAN, PRASAD · 2012 to 2021
$8.4M
Cincinnati Center for Excellence in Molecular HematologyP30DK090971 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI ZHENG, YI · 2010 to 2015
$4.0M
Global Gene Expression Atlas of the Developing KidneyU01DK070251 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI POTTER, S. STEVEN · 2004 to 2009
$2.1M
Nextgen Dissection of the Genomic Basis of Kidney DevelopmentRC4DK090891 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI ARONOW, BRUCE J, POTTER, S. STEVEN · 2010 to 2010
$1.8M
NIDDK NIH HHS 1RC4DK090891NIDDK NIH HHS P30 DK090971NIDDK NIH HHS P50 DK096418NIDDK NIH HHS RC4 DK090891NIDDK NIH HHS U01 DK070251
6 · The paper itself

Abstract

Changing gene expression patterns is the essential driver of developmental processes. Growth factors, micro-RNAs, long intergenic noncoding RNAs, and epigenetic marks, such as DNA methylation and histone modifications, all work by impacting gene expression. The key features of developing cells, including their ability to communicate with others, are defined primarily by their gene-expression profiles. It is therefore clear that a gene-expression atlas of the developing kidney can provide a useful tool for the developmental nephrology research community. Toward this end, the GenitoUrinary Development Molecular Anatomy Project (GUDMAP) consortium has worked to create an atlas of the changing gene-expression patterns that drive kidney development. In this article, the global gene-expression profiling strategies of GUDMAP are reviewed. The initial work used laser-capture microdissection to purify multiple compartments of the developing kidney, including cap mesenchyme, renal vesicle, S-shaped bodies, proximal tubules, and more, which were then gene-expression profiled using microarrays. Resolution of the atlas was then improved by using transgenic mice with specific cell types labeled with green fluorescent protein (GFP), allowing their purification and profiling. In addition, RNA-Seq replaced microarrays. Currently, the atlas is being pushed to the single-cell resolution using microfluidic approaches that allow high-throughput RNA-Seq analysis of hundreds of individual cells. Results can identify novel types of cells and define interesting heterogeneities present within cell populations.

Indexed as

Atlases as TopicGene Expression ProfilingHumansKidneyTranscriptome

Identifiers

PMID23996451
PMCPMC7540944

What OpenQuestion holds

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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.