ArticlePloS one2008
Improved elucidation of biological processes linked to diabetic nephropathy by single probe-based microarray data analysis.
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.
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Who cites it
39 citing papers in PubMed, 79 citations in OpenAlex.
- Kidney transcriptomics signature of prospective rapid diabetic kidney disease progression.BMC nephrology · 2025Article
- The Gene Expression Profile of the Song Control Nucleus HVC Shows Sex Specificity, Hormone Responsiveness, and Species Specificity Among Songbirds.Frontiers in neuroscience · 2021Article
- The Many Faces of Matrix Metalloproteinase-7 in Kidney Diseases.Biomolecules · 2020Review
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- Wnt/β-Catenin in Acute Kidney Injury and Progression to Chronic Kidney Disease.Seminars in nephrology · 2020Review
- Age and Tumor Differentiation-Associated Gene Expression Based Analysis of Non-Familial Prostate Cancers.Frontiers in oncology · 2020Article
- Identification of Triple-Negative Breast Cancer Genes and a Novel High-Risk Breast Cancer Prediction Model Development Based on PPI Data and Support Vector Machines.Frontiers in genetics · 2019Article
- Vangl2, a planar cell polarity molecule, is implicated in irreversible and reversible kidney glomerular injury.The Journal of pathology · 2018Article
- SOCS2 overexpression alleviates diabetic nephropathy in rats by inhibiting the TLR4/NF-κB pathway.Oncotarget · 2017Article
- Macrophage Migration Inhibitory Factor Mediates Proliferative GN via CD74.Journal of the American Society of Nephrology : JASN · 2016Article
- Epithelial but not stromal expression of collagen alpha-1(III) is a diagnostic and prognostic indicator of colorectal carcinoma.Oncotarget · 2016Article
- A Systems Biology Overview on Human Diabetic Nephropathy: From Genetic Susceptibility to Post-Transcriptional and Post-Translational Modifications.Journal of diabetes research · 2016Review
- The Rho-GTPase binding protein IQGAP2 is required for the glomerular filtration barrier.Kidney international · 2015Article
- Using the canary genome to decipher the evolution of hormone-sensitive gene regulation in seasonal singing birds.Genome biology · 2015Article
- Article
- Renal C3 complement component: feed forward to diabetic kidney disease.American journal of nephrology · 2015Article
- Regulatory mechanisms of testosterone-stimulated song in the sensorimotor nucleus HVC of female songbirds.BMC neuroscience · 2014Article
- From molecular signatures to predictive biomarkers: modeling disease pathophysiology and drug mechanism of action.Frontiers in cell and developmental biology · 2014Article
- Urinary excretion of RAS, BMP, and WNT pathway components in diabetic kidney disease.Physiological reports · 2014Article
- Transforming growth factor-β-induced cross talk between p53 and a microRNA in the pathogenesis of diabetic nephropathy.Diabetes · 2013Article
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Authors and funding
13 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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