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Chromatin architecture reveals cell type-specific target genes for kidney disease risk variants

BACKGROUND: Cell 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 st...

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Autores principales: Duan, Aiping, Wang, Hong, Zhu, Yan, Wang, Qi, Zhang, Jing, Hou, Qing, Xing, Yuexian, Shi, Jinsong, Hou, Jinhua, Qin, Zhaohui, Chen, Zhaohong, Liu, Zhihong, Yang, Jingping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905576/
https://www.ncbi.nlm.nih.gov/pubmed/33627123
http://dx.doi.org/10.1186/s12915-021-00977-7
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author Duan, Aiping
Wang, Hong
Zhu, Yan
Wang, Qi
Zhang, Jing
Hou, Qing
Xing, Yuexian
Shi, Jinsong
Hou, Jinhua
Qin, Zhaohui
Chen, Zhaohong
Liu, Zhihong
Yang, Jingping
author_facet Duan, Aiping
Wang, Hong
Zhu, Yan
Wang, Qi
Zhang, Jing
Hou, Qing
Xing, Yuexian
Shi, Jinsong
Hou, Jinhua
Qin, Zhaohui
Chen, Zhaohong
Liu, Zhihong
Yang, Jingping
author_sort Duan, Aiping
collection PubMed
description BACKGROUND: Cell 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. RESULTS: In 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. CONCLUSIONS: Our 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-021-00977-7.
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spelling pubmed-79055762021-02-25 Chromatin architecture reveals cell type-specific target genes for kidney disease risk variants Duan, Aiping Wang, Hong Zhu, Yan Wang, Qi Zhang, Jing Hou, Qing Xing, Yuexian Shi, Jinsong Hou, Jinhua Qin, Zhaohui Chen, Zhaohong Liu, Zhihong Yang, Jingping BMC Biol Research Article BACKGROUND: Cell 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. RESULTS: In 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. CONCLUSIONS: Our 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-021-00977-7. BioMed Central 2021-02-24 /pmc/articles/PMC7905576/ /pubmed/33627123 http://dx.doi.org/10.1186/s12915-021-00977-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Duan, Aiping
Wang, Hong
Zhu, Yan
Wang, Qi
Zhang, Jing
Hou, Qing
Xing, Yuexian
Shi, Jinsong
Hou, Jinhua
Qin, Zhaohui
Chen, Zhaohong
Liu, Zhihong
Yang, Jingping
Chromatin architecture reveals cell type-specific target genes for kidney disease risk variants
title Chromatin architecture reveals cell type-specific target genes for kidney disease risk variants
title_full Chromatin architecture reveals cell type-specific target genes for kidney disease risk variants
title_fullStr Chromatin architecture reveals cell type-specific target genes for kidney disease risk variants
title_full_unstemmed Chromatin architecture reveals cell type-specific target genes for kidney disease risk variants
title_short Chromatin architecture reveals cell type-specific target genes for kidney disease risk variants
title_sort chromatin architecture reveals cell type-specific target genes for kidney disease risk variants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905576/
https://www.ncbi.nlm.nih.gov/pubmed/33627123
http://dx.doi.org/10.1186/s12915-021-00977-7
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