ArticleGenome research2013
Defining cell-type specificity at the transcriptional level in human disease.
Article in Genome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers, 6 of them syntheses that pooled it.
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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.
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.
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Who cites it
174 citing papers in PubMed, 6 syntheses or guidelines pooled it, 256 citations in OpenAlex.
- Transcriptome meta-analysis and validation to discovery of hub genes and pathways in focal and segmental glomerulosclerosis.BMC nephrology · 2024Pooled it
- Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease.Nature communications · 2022Pooled it
- Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease.Diabetologia · 2022Pooled it
- The genetic architecture of membranous nephropathy and its potential to improve non-invasive diagnosis.Nature communications · 2020Pooled it
- Confirmation of GLRA3 as a susceptibility locus for albuminuria in Finnish patients with type 1 diabetes.Scientific reports · 2018Pooled it
- Transethnic, Genome-Wide Analysis Reveals Immune-Related Risk Alleles and Phenotypic Correlates in Pediatric Steroid-Sensitive Nephrotic Syndrome.Journal of the American Society of Nephrology : JASN · 2018Pooled it
- Urinary clusterin as a biomarker of human kidney disease progression and response to the endothelin receptor antagonist atrasentan: An exploratory analysis from the SONAR trial.Nature communications · 2026Trial
- Intrinsic tumor necrosis factor-α pathway is activated in a subset of patients with focal segmental glomerulosclerosis.PloS one · 2019Trial
- MicroRNA-21 in glomerular injury.Journal of the American Society of Nephrology : JASN · 2015Trial
- An inducible co-stimulator ligand (ICOSL)-based peptide therapy for proteinuric kidney diseases targeting αvβ3 integrin.Molecular biomedicine · 2026Article
- The Src-Family Kinases Hck, Fgr and Lyn Drive Immune Complex-Mediated Glomerulonephritis Through the Syk Tyrosine Kinase.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Bibliometrics and visualization analysis: Big data research on diabetic kidney disease from 2000 to 2025.Medicine · 2026Article
- Lipid metabolic dysregulation in diabetic kidney disease: mechanisms, cellular impact, and therapeutic strategies.Journal of clinical & translational endocrinology · 2026Review
- Blood DNA methylation markers are associated with diabetic kidney disease progression in type 1 diabetes.Diabetologia · 2026Article
- Integrated machine learning and multi-omics analysis identifies ALOX5 as a potential therapeutic target for tubulointerstitial inflammation in diabetic kidney disease.Scientific reports · 2026Article
- Podocyte-Specific Deletion of STAT3 in Krüppel-Like Factor 4-Related Experimental Podocytopathy.Journal of the American Society of Nephrology : JASN · 2026Article
- Integrative Analysis on the Urinary Proteome of Diabetic Kidney Disease, with an Emphasis on Extracellular Matrix Proteins.International journal of molecular sciences · 2026Article
- Special Issue: "Molecular Mechanisms and Regulation in Chronic Kidney Diseases".International journal of molecular sciences · 2026Article
- Exome-Wide Analysis Identifies a RareKidney international reports · 2026Article
- Inverse association of circulating kallikrein-related peptidase 7 with renal function and mortality risk in patients with chronic kidney disease.Frontiers in endocrinology · 2026Article
114 more citing papers are in PubMed but not listed here.
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Authors and funding
15 authors at 5 institutions in 3 countries.
Funding
Abstract
Cell-lineage-specific transcripts are essential for differentiated tissue function, implicated in hereditary organ failure, and mediate acquired chronic diseases. However, experimental identification of cell-lineage-specific genes in a genome-scale manner is infeasible for most solid human tissues. We developed the first genome-scale method to identify genes with cell-lineage-specific expression, even in lineages not separable by experimental microdissection. Our machine-learning-based approach leverages high-throughput data from tissue homogenates in a novel iterative statistical framework. We applied this method to chronic kidney disease and identified transcripts specific to podocytes, key cells in the glomerular filter responsible for hereditary and most acquired glomerular kidney disease. In a systematic evaluation of our predictions by immunohistochemistry, our in silico approach was significantly more accurate (65% accuracy in human) than predictions based on direct measurement of in vivo fluorescence-tagged murine podocytes (23%). Our method identified genes implicated as causal in hereditary glomerular disease and involved in molecular pathways of acquired and chronic renal diseases. Furthermore, based on expression analysis of human kidney disease biopsies, we demonstrated that expression of the podocyte genes identified by our approach is significantly related to the degree of renal impairment in patients. Our approach is broadly applicable to define lineage specificity in both cell physiology and human disease contexts. We provide a user-friendly website that enables researchers to apply this method to any cell-lineage or tissue of interest. Identified cell-lineage-specific transcripts are expected to play essential tissue-specific roles in organogenesis and disease and can provide starting points for the development of organ-specific diagnostics and therapies.
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Registered trials
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.