Literature DB >> 33627123

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

Aiping Duan1,2, Hong Wang2, Yan Zhu1,2, Qi Wang2, Jing Zhang2, Qing Hou1,2, Yuexian Xing1,2, Jinsong Shi1,2, Jinhua Hou1,2, Zhaohui Qin3, Zhaohong Chen1,2, Zhihong Liu1,2, Jingping Yang4,5.   

Abstract

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.

Entities:  

Keywords:  Chromatin organization; Disease-associated variant; Epigenetic landscape; Regulatory element

Year:  2021        PMID: 33627123      PMCID: PMC7905576          DOI: 10.1186/s12915-021-00977-7

Source DB:  PubMed          Journal:  BMC Biol        ISSN: 1741-7007            Impact factor:   7.431


  59 in total

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Authors:  Mathias Uhlén; Linn Fagerberg; Björn M Hallström; Cecilia Lindskog; Per Oksvold; Adil Mardinoglu; Åsa Sivertsson; Caroline Kampf; Evelina Sjöstedt; Anna Asplund; IngMarie Olsson; Karolina Edlund; Emma Lundberg; Sanjay Navani; Cristina Al-Khalili Szigyarto; Jacob Odeberg; Dijana Djureinovic; Jenny Ottosson Takanen; Sophia Hober; Tove Alm; Per-Henrik Edqvist; Holger Berling; Hanna Tegel; Jan Mulder; Johan Rockberg; Peter Nilsson; Jochen M Schwenk; Marica Hamsten; Kalle von Feilitzen; Mattias Forsberg; Lukas Persson; Fredric Johansson; Martin Zwahlen; Gunnar von Heijne; Jens Nielsen; Fredrik Pontén
Journal:  Science       Date:  2015-01-23       Impact factor: 47.728

Review 2.  CYP24A1 and kidney disease.

Authors:  Martin Petkovich; Glenville Jones
Journal:  Curr Opin Nephrol Hypertens       Date:  2011-07       Impact factor: 2.894

3.  A Rapid Method for Directed Gene Knockout for Screening in G0 Zebrafish.

Authors:  Roland S Wu; Ian I Lam; Hilary Clay; Daniel N Duong; Rahul C Deo; Shaun R Coughlin
Journal:  Dev Cell       Date:  2018-07-02       Impact factor: 12.270

4.  The NIH Roadmap Epigenomics Mapping Consortium.

Authors:  Bradley E Bernstein; John A Stamatoyannopoulos; Joseph F Costello; Bing Ren; Aleksandar Milosavljevic; Alexander Meissner; Manolis Kellis; Marco A Marra; Arthur L Beaudet; Joseph R Ecker; Peggy J Farnham; Martin Hirst; Eric S Lander; Tarjei S Mikkelsen; James A Thomson
Journal:  Nat Biotechnol       Date:  2010-10       Impact factor: 54.908

5.  Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position.

Authors:  Jason D Buenrostro; Paul G Giresi; Lisa C Zaba; Howard Y Chang; William J Greenleaf
Journal:  Nat Methods       Date:  2013-10-06       Impact factor: 28.547

6.  Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown.

Authors:  Mihaela Pertea; Daehwan Kim; Geo M Pertea; Jeffrey T Leek; Steven L Salzberg
Journal:  Nat Protoc       Date:  2016-08-11       Impact factor: 13.491

7.  Molecular insights into genome-wide association studies of chronic kidney disease-defining traits.

Authors:  Xiaoguang Xu; James M Eales; Artur Akbarov; Hui Guo; Lorenz Becker; David Talavera; Fehzan Ashraf; Jabran Nawaz; Sanjeev Pramanik; John Bowes; Xiao Jiang; John Dormer; Matthew Denniff; Andrzej Antczak; Monika Szulinska; Ingrid Wise; Priscilla R Prestes; Maciej Glyda; Pawel Bogdanski; Ewa Zukowska-Szczechowska; Carlo Berzuini; Adrian S Woolf; Nilesh J Samani; Fadi J Charchar; Maciej Tomaszewski
Journal:  Nat Commun       Date:  2018-11-22       Impact factor: 14.919

8.  The accessible chromatin landscape of the human genome.

Authors:  Robert E Thurman; Eric Rynes; Richard Humbert; Jeff Vierstra; Matthew T Maurano; Eric Haugen; Nathan C Sheffield; Andrew B Stergachis; Hao Wang; Benjamin Vernot; Kavita Garg; Sam John; Richard Sandstrom; Daniel Bates; Lisa Boatman; Theresa K Canfield; Morgan Diegel; Douglas Dunn; Abigail K Ebersol; Tristan Frum; Erika Giste; Audra K Johnson; Ericka M Johnson; Tanya Kutyavin; Bryan Lajoie; Bum-Kyu Lee; Kristen Lee; Darin London; Dimitra Lotakis; Shane Neph; Fidencio Neri; Eric D Nguyen; Hongzhu Qu; Alex P Reynolds; Vaughn Roach; Alexias Safi; Minerva E Sanchez; Amartya Sanyal; Anthony Shafer; Jeremy M Simon; Lingyun Song; Shinny Vong; Molly Weaver; Yongqi Yan; Zhancheng Zhang; Zhuzhu Zhang; Boris Lenhard; Muneesh Tewari; Michael O Dorschner; R Scott Hansen; Patrick A Navas; George Stamatoyannopoulos; Vishwanath R Iyer; Jason D Lieb; Shamil R Sunyaev; Joshua M Akey; Peter J Sabo; Rajinder Kaul; Terrence S Furey; Job Dekker; Gregory E Crawford; John A Stamatoyannopoulos
Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

9.  The single-cell transcriptomic landscape of early human diabetic nephropathy.

Authors:  Parker C Wilson; Haojia Wu; Yuhei Kirita; Kohei Uchimura; Nicolas Ledru; Helmut G Rennke; Paul A Welling; Sushrut S Waikar; Benjamin D Humphreys
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-10       Impact factor: 11.205

10.  Cell-type-specific 3D epigenomes in the developing human cortex.

Authors:  Michael Song; Mark-Phillip Pebworth; Xiaoyu Yang; Ming Hu; Armen Abnousi; Changxu Fan; Jia Wen; Jonathan D Rosen; Mayank N K Choudhary; Xiekui Cui; Ian R Jones; Seth Bergenholtz; Ugomma C Eze; Ivan Juric; Bingkun Li; Lenka Maliskova; Jerry Lee; Weifang Liu; Alex A Pollen; Yun Li; Ting Wang; Arnold R Kriegstein; Yin Shen
Journal:  Nature       Date:  2020-10-14       Impact factor: 49.962

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Journal:  Antioxidants (Basel)       Date:  2022-07-12

Review 2.  Zebrafish: A Model to Study and Understand the Diabetic Nephropathy and Other Microvascular Complications of Type 2 Diabetes Mellitus.

Authors:  Charles Sharchil; Amulya Vijay; Vinu Ramachandran; Sambhavi Bhagavatheeswaran; Reena Devarajan; Bhupendra Koul; Dhananjay Yadav; Anandan Balakrishnan
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  2 in total

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