ArticlePloS one2014
The kidney transcriptome and proteome defined by transcriptomics and antibody-based profiling.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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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
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis of single-cell and single-nucleus transcriptomics reveals kidney cell type consensus signatures.Scientific data · 2023Pooled it
- Integrative analysis prioritizes proteins associated with renal cell carcinoma and its risk factors.JNCI cancer spectrum · 2026Article
- Emerging Urinary Biomarkers and Innovative Technologies for the Early Detection and Personalized Management of Chronic Kidney Disease.International journal of molecular sciences · 2026Review
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- Spatio-temporal transcriptomic analysis reveals distinct nephrotoxicity, DNA damage, and regeneration response after cisplatin.Cell biology and toxicology · 2025Article
- Anatomical and molecular insights into the antennal gland of the giant freshwater prawn Macrobrachium rosenbergii.Cell and tissue research · 2024Article
- Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targets.Nature communications · 2024Article
- Article
- An in vitro approach to understand contribution of kidney cells to human urinary extracellular vesicles.Journal of extracellular vesicles · 2023Article
- Targeted Disruption of a Proximal Tubule-Specific TMEM174 Gene in Mice Causes Hyperphosphatemia and Vascular Calcification.Journal of the American Society of Nephrology : JASN · 2022Article
- Proteomics for Biomarker Discovery for Diagnosis and Prognosis of Kidney Transplantation Rejection.Proteomes · 2022Review
- Self-supervised learning of cell type specificity from immunohistochemical images.Bioinformatics (Oxford, England) · 2022Article
- Single-cell transcriptomes underscore genetically distinct tumor characteristics and microenvironment for hereditary kidney cancers.iScience · 2022Article
- Urate transport in health and disease.Best practice & research. Clinical rheumatology · 2021Review
- Altered expression of genes controlling metabolism characterizes the tissue response to immune injury in lupus.Scientific reports · 2021Article
- Rational selection of a biomarker panel targeting unmet clinical needs in kidney injury.Clinical proteomics · 2021Review
- The Human Protein Atlas-Spatial localization of the human proteome in health and disease.Protein science : a publication of the Protein Society · 2021Article
- Single-cell RNA sequencing analysis of human kidney reveals the presence of ACE2 receptor: A potential pathway of COVID-19 infection.Molecular genetics & genomic medicine · 2020Article
- Antisense oligonucleotide modulation of non-productive alternative splicing upregulates gene expression.Nature communications · 2020Article
- Dataset on the mass spectrometry-based proteomic profiling of the kidney from wild type and the dystrophicData in brief · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To understand renal functions and disease, it is important to define the molecular constituents of the various compartments of the kidney. Here, we used comparative transcriptomic analysis of all major organs and tissues in the human body, in combination with kidney tissue micro array based immunohistochemistry, to generate a comprehensive description of the kidney-specific transcriptome and proteome. A special emphasis was placed on the identification of genes and proteins that were elevated in specific kidney subcompartments. Our analysis identified close to 400 genes that had elevated expression in the kidney, as compared to the other analysed tissues, and these were further subdivided, depending on expression levels, into tissue enriched, group enriched or tissue enhanced. Immunohistochemistry allowed us to identify proteins with distinct localisation to the glomeruli (n = 11), proximal tubules (n = 120), distal tubules (n = 9) or collecting ducts (n = 8). Among the identified kidney elevated transcripts, we found several proteins not previously characterised or identified as elevated in kidney. This description of the kidney specific transcriptome and proteome provides a resource for basic and clinical research to facilitate studies to understand kidney biology and disease.
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