ArticleBMC biology2021
Chromatin architecture reveals cell type-specific target genes for kidney disease risk variants.
Article in BMC biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 31 citations in OpenAlex.
- Integrative multi-omics profiling for early diagnosis, stratification and personalized management of chronic kidney disease: a new paradigm.Clinical and experimental medicine · 2025Review
- Unbiased self supervised learning of kidney histology reveals phenotypic and prognostic insights.Scientific reports · 2025Article
- 3D Genome Architecture in Stem Cell Lineage Commitment: from Structural Organization to Precision Regulation.Advanced genetics (Hoboken, N.J.) · 2025Review
- Loop Catalog: a comprehensive HiChIP database of human and mouse samples.Genome biology · 2025Article
- Functional genomics reveals adipose-kidney crosstalk as a contributor to kidney fibrosis via the OSM-OSMR pathway.Functional & integrative genomics · 2025Article
- A guide to studying 3D genome structure and dynamics in the kidney.Nature reviews. Nephrology · 2025Review
- Decoding Kidney Pathophysiology: Omics-Driven Approaches in Precision Medicine.Journal of personalized medicine · 2024Review
- Systematic identification of interchromosomal interaction networks supports the existence of specialized RNA factories.Genome research · 2024Article
- Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targets.Nature communications · 2024Article
- Proteomics and transcriptomics profiling reveals distinct aspects of kidney stone related genes in calculi rats.BMC genomics · 2023Article
- 3D chromatin structure in chondrocytes identifies putative osteoarthritis risk genes.Genetics · 2022Article
- ACell genomics · 2022Article
- Demethylation of H3K9 and H3K27 Contributes to the Tubular Renal Damage Triggered by Endoplasmic Reticulum Stress.Antioxidants (Basel, Switzerland) · 2022Article
- Zebrafish: A Model to Study and Understand the Diabetic Nephropathy and Other Microvascular Complications of Type 2 Diabetes Mellitus.Veterinary sciences · 2022Review
- The Zebrafish Model to Understand Epigenetics in Renal Diseases.International journal of molecular sciences · 2021Review
- Chromatin architecture reveals cell type-specific target genes for kidney disease risk variants.BMC biology · 2021Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundCell type-specific transcriptional programming results from the combinatorial interplay between the repertoire of active regulatory elements. Disease-associated variants disrupt such programming, leading to altered expression of downstream regulated genes and the onset of pathological states. However, due to the non-linear regulatory properties of non-coding elements such as enhancers, which can activate transcription at long distances and in a non-directional way, the identification of causal variants and their target genes remains challenging. Here, we provide a multi-omics analysis to identify regulatory elements associated with functional kidney disease variants, and downstream regulated genes.
resultsIn order to understand the genetic risk of kidney diseases, we generated a comprehensive dataset of the chromatin landscape of human kidney tubule cells, including transcription-centered 3D chromatin organization, histone modifications distribution and transcriptome with HiChIP, ChIP-seq and RNA-seq. We identified genome-wide functional elements and thousands of interactions between the distal elements and target genes. The results revealed that risk variants for renal tumor and chronic kidney disease were enriched in kidney tubule cells. We further pinpointed the target genes for the variants and validated two target genes by CRISPR/Cas9 genome editing techniques in zebrafish, demonstrating that SLC34A1 and MTX1 were indispensable genes to maintain kidney function.
conclusionsOur results provide a valuable multi-omics resource on the chromatin landscape of human kidney tubule cells and establish a bioinformatic pipeline in dissecting functions of kidney disease-associated variants based on cell type-specific epigenome.
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