Evidence map›Paper›PMID 15611884›Full record

ReviewPflugers Archiv : European journal of physiology2005

Global analysis of gene expression in mammalian kidney.

Olga Soutourina, Lydie Cheval, Alain Doucet

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pflugers Archiv : European journal of physiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Perspectives in systems nephrology.Cell and tissue research · 2021
    Review
  2. Gene expression databases for kidney epithelial cells.American journal of physiology. Renal physiology · 2012
    Review
  3. Article
  4. 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

3 authors at 2 institutions in 1 country.

Olga SoutourinaLaboratoire de Physiologie et Génomique Rénales, CNRS-UPMC, UMR 7134, Institut des Cordeliers, IFR 58, 15 rue de l'Ecole de Médecine, 75270 Paris cedex 6, France.
Lydie Cheval
Alain Doucet
Centre National de la Recherche Scientifique · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The past decade has seen the achievement of sequencing of human, rat and mouse genomes and the development of high-throughput methods for quantitative monitoring of gene expression. The aim of the beginning post-genomic era is to determine the function of all these genes, a challenge in which the community of physiologists should have a leading role. In this short review, we discuss the relevance, feasibility and impact of transcriptome analysis in renal physiology. Comparison of transcriptomes demonstrates that cell lines are poor physiological models, making it necessary to work on native kidney tissue. Palliating kidney heterogeneity therefore requires the development of methods for transcriptome analysis sensitive enough to be compatible with microdissected nephron segments. Axial comparison of transcriptomes along the human nephron unexpectedly points out that the segmentation of nephrons concerns not only genes involved in solute and water transport functions and their regulation, but also genes related to the control of cell division, differentiation and apoptosis. Comparison of transcriptome of a same nephron segment from mice under different pathophysiological conditions outlines the wide pleiotropy of kidney function regulations. Both types of comparative studies also identify yet unknown transcripts specifically expressed along the nephron or under pathophysiological conditions.

Indexed as

Gene Expression ProfilingAnimalsGene Expression RegulationGene LibraryHumansKidneyMammalsPhenotype

Identifiers

PMID15611884
OpenAlexW2028105549

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.