Evidence map›Paper›PMID 18698414›Full record

ArticlePloS one2008

Improved elucidation of biological processes linked to diabetic nephropathy by single probe-based microarray data analysis.

Clemens D Cohen, Maja T Lindenmeyer, Felix Eichinger, Alexander Hahn, Martin Seifert, Anton G Moll, Holger Schmid, Eva Kiss, Elisabeth Gröne, Hermann-Josef Gröne and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 79 citations in OpenAlex.

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  10. Macrophage Migration Inhibitory Factor Mediates Proliferative GN via CD74.Journal of the American Society of Nephrology : JASN · 2016
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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

13 authors at 6 institutions in 3 countries.

Clemens D CohenNephrology Clinic and Institute of Physiology with Center of Integrative Human Physiology, University Hospital and University, Zurich, Switzerland.
Maja T Lindenmeyer
Felix Eichinger
Alexander Hahn
Martin Seifert
Anton G Moll
Holger Schmid
Eva Kiss
Elisabeth Gröne
Hermann-Josef Gröne
Matthias Kretzler
Thomas Werner
Peter J Nelson
Software (Germany) · DESwiss Integrative Center for Human Health · CHHeidelberg University · DEGerman Cancer Research Center · DEMichigan United · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic nephropathy (DN) is a complex and chronic metabolic disease that evolves into a progressive fibrosing renal disorder. Effective transcriptomic profiling of slowly evolving disease processes such as DN can be problematic. The changes that occur are often subtle and can escape detection by conventional oligonucleotide DNA array analyses. METHODOLOGY/PRINCIPAL

findingsWe examined microdissected human renal tissue with or without DN using Affymetrix oligonucleotide microarrays (HG-U133A) by standard Robust Multi-array Analysis (RMA). Subsequent gene ontology analysis by Database for Annotation, Visualization and Integrated Discovery (DAVID) showed limited detection of biological processes previously identified as central mechanisms in the development of DN (e.g. inflammation and angiogenesis). This apparent lack of sensitivity may be associated with the gene-oriented averaging of oligonucleotide probe signals, as this includes signals from cross-hybridizing probes and gene annotation that is based on out of date genomic data. We then examined the same CEL file data using a different methodology to determine how well it could correlate transcriptomic data with observed biology. ChipInspector (CI) is based on single probe analysis and de novo gene annotation that bypasses probe set definitions. Both methods, RMA and CI, used at default settings yielded comparable numbers of differentially regulated genes. However, when verified by RT-PCR, the single probe based analysis demonstrated reduced background noise with enhanced sensitivity and fewer false positives. CONCLUSIONS/SIGNIFICANCE: Using a single probe based analysis approach with de novo gene annotation allowed an improved representation of the biological processes linked to the development and progression of DN. The improved analysis was exemplified by the detection of Wnt signaling pathway activation in DN, a process not previously reported to be involved in this disease.

Indexed as

DNA ProbesOligonucleotide Array Sequence AnalysisAntigens, CDAntigens, Differentiation, MyelomonocyticCD68 MoleculeDiabetic NephropathiesDisease ProgressionExtracellular Matrix ProteinsHumansNeoplasm ProteinsPolymorphism, Single NucleotideSensitivity and SpecificitySuppressor of Cytokine Signaling ProteinsVascular Endothelial Growth Factor AAntigens, CDAntigens, Differentiation, MyelomonocyticCD68 antigen, humanCD68 MoleculeDNA ProbesExtracellular Matrix ProteinsNeoplasm ProteinsSOCS2 protein, humanSPON2 protein, humanSuppressor of Cytokine Signaling ProteinsVascular Endothelial Growth Factor A

Identifiers

PMID18698414
PMCPMC2493035
OpenAlexW2170081060

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.