Evidence map›Paper›PMID 19500374›Full record

ArticleBMC nephrology2009

A human glomerular SAGE transcriptome database.

Jenny Nyström, Wolfgang Fierlbeck, Anna Granqvist, Stephen C Kulak, Barbara J Ballermann

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Renal Mechanisms of Association between Fibroblast Growth Factor 1 and Blood Pressure.Journal of the American Society of Nephrology : JASN · 2015
    Pooled it
  2. Cell-based analysis ofFrontiers in genetics · 2022
    Article
  3. Review
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  6. Membranous nephropathy: from models to man.The Journal of clinical investigation · 2014
    Review
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  8. Article
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  10. Article
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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

5 authors at 3 institutions in 3 countries.

Jenny NyströmDepartment of Medicine, University of Alberta, Edmonton, Alberta, Canada. Jenny.Nystroem@wlab.gu.se
Wolfgang Fierlbeck
Anna Granqvist
Stephen C Kulak
Barbara J Ballermann
University of Alberta · CAGoethe University Frankfurt · DEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo facilitate in the identification of gene products important in regulating renal glomerular structure and function, we have produced an annotated transcriptome database for normal human glomeruli using the SAGE approach. DESCRIPTION: The database contains 22,907 unique SAGE tag sequences, with a total tag count of 48,905. For each SAGE tag, the ratio of its frequency in glomeruli relative to that in 115 non-glomerular tissues or cells, a measure of transcript enrichment in glomeruli, was calculated. A total of 133 SAGE tags representing well-characterized transcripts were enriched 10-fold or more in glomeruli compared to other tissues. Comparison of data from this study with a previous human glomerular Sau3A-anchored SAGE library reveals that 47 of the highly enriched transcripts are common to both libraries. Among these are the SAGE tags representing many podocyte-predominant transcripts like WT-1, podocin and synaptopodin. Enrichment of podocyte transcript tags SAGE library indicates that other SAGE tags observed at much higher frequencies in this glomerular compared to non-glomerular SAGE libraries are likely to be glomerulus-predominant. A higher level of mRNA expression for 19 transcripts represented by glomerulus-enriched SAGE tags was verified by RT-PCR comparing glomeruli to lung, liver and spleen.

conclusionThe database can be retrieved from, or interrogated online at http://cgap.nci.nih.gov/SAGE. The annotated database is also provided as an additional file with gene identification for 9,022, and matches to the human genome or transcript homologs in other species for 1,433 tags. It should be a useful tool for in silico mining of glomerular gene expression.

Indexed as

Databases, GeneticGene Expression ProfilingAgedAntigens, NeoplasmFemaleHumansIntracellular Signaling Peptides and ProteinsKidney GlomerulusMaleMembrane ProteinsMicrofilament ProteinsMiddle AgedWT1 ProteinsAntigens, NeoplasmIntracellular Signaling Peptides and ProteinsMembrane ProteinsMicrofilament ProteinsNPHS2 proteinSAGE1 protein, humanSYNPO protein, humanWT1 Proteins

Identifiers

PMID19500374
PMCPMC2709617
OpenAlexW2048412271

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.