Literature DB >> 23986147

Revolution of nephrology research by deep sequencing: ChIP-seq and RNA-seq.

Imari Mimura1, Yasuharu Kanki2, Tatsuhiko Kodama2, Masaomi Nangaku3.   

Abstract

The recent and rapid advent of next-generation sequencing (NGS) has made this technology broadly available not only to researchers in various molecular and cellular biology fields but also to those in kidney disease. In this paper, we describe the usage of ChIP-seq (chromatin immunoprecipitation with sequencing) and RNA-seq for sample preparation and interpretation of raw data in the investigation of biological phenomenon in renal diseases. ChIP-seq identifies genome-wide transcriptional DNA-binding sites as well as histone modifications, which are known to regulate gene expression, in the intragenic as well as in the intergenic regions. With regard to RNA-seq, this process analyzes not only the expression level of mRNA but also splicing variants, non-coding RNA, and microRNA on a genome-wide scale. The combination of ChIP-seq and RNA-seq allows the clarification of novel transcriptional mechanisms, which have important roles in various kinds of diseases, including chronic kidney disease. The rapid development of these techniques requires an update on the latest information and methods of NGS. In this review, we highlight the merits and characteristics of ChIP-seq and RNA-seq and discuss the use of the genome-wide analysis in kidney disease.

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Year:  2013        PMID: 23986147     DOI: 10.1038/ki.2013.321

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  16 in total

Review 1.  Hypoxia and Dysregulated Angiogenesis in Kidney Disease.

Authors:  Shinji Tanaka; Tetsuhiro Tanaka; Masaomi Nangaku
Journal:  Kidney Dis (Basel)       Date:  2015-04-15

2.  Expression of Acsm2, a kidney-specific gene, parallels the function and maturation of proximal tubular cells.

Authors:  Hirofumi Watanabe; Robert L Paxton; Matthew R Tolerico; Vidya K Nagalakshmi; Shinji Tanaka; Mark D Okusa; Shin Goto; Ichiei Narita; Seiji Watanabe; Maria Luisa S Sequeira-Lοpez; R Ariel Gomez
Journal:  Am J Physiol Renal Physiol       Date:  2020-08-24

3.  Use of RNA-seq to identify cardiac genes and gene pathways differentially expressed between dogs with and without dilated cardiomyopathy.

Authors:  Steven G Friedenberg; Lhoucine Chdid; Bruce Keene; Barbara Sherry; Alison Motsinger-Reif; Kathryn M Meurs
Journal:  Am J Vet Res       Date:  2016-07       Impact factor: 1.156

Review 4.  Molecular assessment of disease states in kidney transplant biopsy samples.

Authors:  Philip F Halloran; Konrad S Famulski; Jeff Reeve
Journal:  Nat Rev Nephrol       Date:  2016-06-27       Impact factor: 28.314

Review 5.  Next-generation sequencing for research and diagnostics in kidney disease.

Authors:  Kirsten Y Renkema; Marijn F Stokman; Rachel H Giles; Nine V A M Knoers
Journal:  Nat Rev Nephrol       Date:  2014-06-10       Impact factor: 28.314

Review 6.  The expanding phenotypic spectra of kidney diseases: insights from genetic studies.

Authors:  Marijn F Stokman; Kirsten Y Renkema; Rachel H Giles; Franz Schaefer; Nine V A M Knoers; Albertien M van Eerde
Journal:  Nat Rev Nephrol       Date:  2016-07-04       Impact factor: 28.314

Review 7.  How Omics Data Can Be Used in Nephrology.

Authors:  Eugene P Rhee
Journal:  Am J Kidney Dis       Date:  2018-02-23       Impact factor: 8.860

Review 8.  Recent developments in epigenetics of acute and chronic kidney diseases.

Authors:  Marpadga A Reddy; Rama Natarajan
Journal:  Kidney Int       Date:  2015-05-20       Impact factor: 10.612

Review 9.  Involvement of hypoxia-inducible factors in the dysregulation of oxygen homeostasis in sepsis.

Authors:  Kiichi Hirota
Journal:  Cardiovasc Hematol Disord Drug Targets       Date:  2015

10.  Whole-transcriptome analysis of UUO mouse model of renal fibrosis reveals new molecular players in kidney diseases.

Authors:  Eleni Arvaniti; Panagiotis Moulos; Athina Vakrakou; Christos Chatziantoniou; Christos Chadjichristos; Panagiotis Kavvadas; Aristidis Charonis; Panagiotis K Politis
Journal:  Sci Rep       Date:  2016-05-18       Impact factor: 4.379

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