Literature DB >> 25722474

RNA-Seq: Improving Our Understanding of Retinal Biology and Disease.

Michael H Farkas1, Elizabeth D Au1, Maria E Sousa1, Eric A Pierce1.   

Abstract

Over the past several years, rapid technological advances have allowed for a dramatic increase in our knowledge and understanding of the transcriptional landscape, because of the ability to study gene expression in greater depth and with more detail than previously possible. To this end, RNA-Seq has quickly become one of the most widely used methods for studying transcriptomes of tissues and individual cells. Unlike previously favored analysis methods, RNA-Seq is extremely high-throughput, and is not dependent on an annotated transcriptome, laying the foundation for novel genetic discovery. Additionally, RNA-Seq derived transcriptomes provide a basis for widening the scope of research to identify potential targets in the treatment of retinal disease.
Copyright © 2015 Cold Spring Harbor Laboratory Press; all rights reserved.

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Year:  2015        PMID: 25722474      PMCID: PMC4561396          DOI: 10.1101/cshperspect.a017152

Source DB:  PubMed          Journal:  Cold Spring Harb Perspect Med        ISSN: 2157-1422            Impact factor:   6.915


  103 in total

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4.  Using next-generation sequencing for the diagnosis of rare disorders: a family with retinitis pigmentosa and skeletal abnormalities.

Authors:  Kasmintan A Schrader; Alireza Heravi-Moussavi; Paula J Waters; Janine Senz; James Whelan; Gavin Ha; Patrice Eydoux; Torsten Nielsen; Barry Gallagher; Arusha Oloumi; Niki Boyd; Bridget A Fernandez; Terry-Lynn Young; Steven Jm Jones; Martin Hirst; Sohrab P Shah; Marco A Marra; Jane Green; David G Huntsman
Journal:  J Pathol       Date:  2011-09       Impact factor: 7.996

Review 5.  Cell-replacement therapy and neural repair in the retina.

Authors:  Christian W Schmeer; Stefanie G Wohl; Stefan Isenmann
Journal:  Cell Tissue Res       Date:  2012-02-23       Impact factor: 5.249

Review 6.  AAV-mediated gene therapy for retinal disorders: from mouse to man.

Authors:  P K Buch; J W Bainbridge; R R Ali
Journal:  Gene Ther       Date:  2008-04-17       Impact factor: 5.250

Review 7.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

8.  Transcriptome landscape of the human placenta.

Authors:  Jinsil Kim; Keyan Zhao; Peng Jiang; Zhi-xiang Lu; Jinkai Wang; Jeffrey C Murray; Yi Xing
Journal:  BMC Genomics       Date:  2012-03-27       Impact factor: 3.969

9.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

10.  A comparison of methods for differential expression analysis of RNA-seq data.

Authors:  Charlotte Soneson; Mauro Delorenzi
Journal:  BMC Bioinformatics       Date:  2013-03-09       Impact factor: 3.169

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  13 in total

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4.  RNA sequencing analysis of the human retina and associated ocular tissues.

Authors:  Scott T Schumacker; Krista R Coppage; Ray A Enke
Journal:  Sci Data       Date:  2020-06-24       Impact factor: 6.444

5.  Aberrant Expressions of Co-stimulatory and Co-inhibitory Molecules in Autoimmune Diseases.

Authors:  Weiwei He; Bin Wang; Qian Li; Qiuming Yao; Xi Jia; Ronghua Song; Sheli Li; Jin-An Zhang
Journal:  Front Immunol       Date:  2019-02-20       Impact factor: 7.561

6.  Protocol for a scoping review of multi-omic analysis for rare diseases.

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Journal:  BMJ Open       Date:  2019-05-05       Impact factor: 2.692

Review 7.  The Molecular Basis of Human Anophthalmia and Microphthalmia.

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Journal:  J Dev Biol       Date:  2019-08-14

8.  Digital gene expression analyses of mammary glands from meat ewes naturally infected with clinical mastitis.

Authors:  Taotao Li; Jianfeng Gao; Xingxu Zhao; Youji Ma
Journal:  R Soc Open Sci       Date:  2019-07-03       Impact factor: 2.963

9.  Human papillomavirus 16E6/E7 activates autophagy via Atg9B and LAMP1 in cervical cancer cells.

Authors:  Chen Tingting; Yang Shizhou; Zhang Songfa; Xu Junfen; Lu Weiguo; Cheng Xiaodong; Xie Xing
Journal:  Cancer Med       Date:  2019-06-18       Impact factor: 4.452

10.  Functional networks of aging markers in the glomeruli of IgA nephropathy: a new therapeutic opportunity.

Authors:  Hong Jiang; Ludan Liang; Jing Qin; Yingying Lu; Bingjue Li; Yucheng Wang; Chuan Lin; Qin Zhou; Shi Feng; Shun H Yip; Feng Xu; En Yin Lai; Junwen Wang; Jianghua Chen
Journal:  Oncotarget       Date:  2016-06-07
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