Literature DB >> 20307502

Deep sequencing of coding and non-coding RNA in the CNS.

Marcel van der Brug1, Michael A Nalls, Mark R Cookson.   

Abstract

Several methods now exist for identifying and quantifying many biological events in parallel and in a relatively unbiased fashion. For gene expression experiments, cloning approaches have been supplemented with microarray platforms over the past few years. The focus of this review is on deep sequencing, a new set of techniques that can be used to both identify RNA species and quantify them in a massively parallel fashion. Deep sequencing has some advantages over other methods, driven largely by the high depth of coverage for any library of nucleic acids. This allows, for example, estimates of alternative splicing and untranslated region utilization. We will discuss how deep sequencing methods are being applied to characterization of gene expression in the brain and how these technologies might develop over the next few years. Published by Elsevier B.V.

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Year:  2010        PMID: 20307502      PMCID: PMC2883621          DOI: 10.1016/j.brainres.2010.03.039

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  43 in total

Review 1.  High throughput analysis of gene expression in the human brain.

Authors:  C Colantuoni; A E Purcell; C M Bouton; J Pevsner
Journal:  J Neurosci Res       Date:  2000-01-01       Impact factor: 4.164

2.  Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays.

Authors:  S Brenner; M Johnson; J Bridgham; G Golda; D H Lloyd; D Johnson; S Luo; S McCurdy; M Foy; M Ewan; R Roth; D George; S Eletr; G Albrecht; E Vermaas; S R Williams; K Moon; T Burcham; M Pallas; R B DuBridge; J Kirchner; K Fearon; J Mao; K Corcoran
Journal:  Nat Biotechnol       Date:  2000-06       Impact factor: 54.908

3.  Direct RNA sequencing.

Authors:  Fatih Ozsolak; Adam R Platt; Dan R Jones; Jeffrey G Reifenberger; Lauryn E Sass; Peter McInerney; John F Thompson; Jayson Bowers; Mirna Jarosz; Patrice M Milos
Journal:  Nature       Date:  2009-09-23       Impact factor: 49.962

4.  mRNA-sequencing whole transcriptome analysis of a single cell on the SOLiD system.

Authors:  Kai Q Lao; Fuchou Tang; Catalin Barbacioru; Yangzhou Wang; Ellen Nordman; Clarence Lee; Nanlan Xu; Xiaohui Wang; Brain Tuch; John Bodeau; Asim Siddiqui; M Azim Surani
Journal:  J Biomol Tech       Date:  2009-12

Review 5.  Computation for ChIP-seq and RNA-seq studies.

Authors:  Shirley Pepke; Barbara Wold; Ali Mortazavi
Journal:  Nat Methods       Date:  2009-11       Impact factor: 28.547

Review 6.  Sequencing technologies - the next generation.

Authors:  Michael L Metzker
Journal:  Nat Rev Genet       Date:  2009-12-08       Impact factor: 53.242

7.  The transcriptional landscape of the mammalian genome.

Authors:  P Carninci; T Kasukawa; S Katayama; J Gough; M C Frith; N Maeda; R Oyama; T Ravasi; B Lenhard; C Wells; R Kodzius; K Shimokawa; V B Bajic; S E Brenner; S Batalov; A R R Forrest; M Zavolan; M J Davis; L G Wilming; V Aidinis; J E Allen; A Ambesi-Impiombato; R Apweiler; R N Aturaliya; T L Bailey; M Bansal; L Baxter; K W Beisel; T Bersano; H Bono; A M Chalk; K P Chiu; V Choudhary; A Christoffels; D R Clutterbuck; M L Crowe; E Dalla; B P Dalrymple; B de Bono; G Della Gatta; D di Bernardo; T Down; P Engstrom; M Fagiolini; G Faulkner; C F Fletcher; T Fukushima; M Furuno; S Futaki; M Gariboldi; P Georgii-Hemming; T R Gingeras; T Gojobori; R E Green; S Gustincich; M Harbers; Y Hayashi; T K Hensch; N Hirokawa; D Hill; L Huminiecki; M Iacono; K Ikeo; A Iwama; T Ishikawa; M Jakt; A Kanapin; M Katoh; Y Kawasawa; J Kelso; H Kitamura; H Kitano; G Kollias; S P T Krishnan; A Kruger; S K Kummerfeld; I V Kurochkin; L F Lareau; D Lazarevic; L Lipovich; J Liu; S Liuni; S McWilliam; M Madan Babu; M Madera; L Marchionni; H Matsuda; S Matsuzawa; H Miki; F Mignone; S Miyake; K Morris; S Mottagui-Tabar; N Mulder; N Nakano; H Nakauchi; P Ng; R Nilsson; S Nishiguchi; S Nishikawa; F Nori; O Ohara; Y Okazaki; V Orlando; K C Pang; W J Pavan; G Pavesi; G Pesole; N Petrovsky; S Piazza; J Reed; J F Reid; B Z Ring; M Ringwald; B Rost; Y Ruan; S L Salzberg; A Sandelin; C Schneider; C Schönbach; K Sekiguchi; C A M Semple; S Seno; L Sessa; Y Sheng; Y Shibata; H Shimada; K Shimada; D Silva; B Sinclair; S Sperling; E Stupka; K Sugiura; R Sultana; Y Takenaka; K Taki; K Tammoja; S L Tan; S Tang; M S Taylor; J Tegner; S A Teichmann; H R Ueda; E van Nimwegen; R Verardo; C L Wei; K Yagi; H Yamanishi; E Zabarovsky; S Zhu; A Zimmer; W Hide; C Bult; S M Grimmond; R D Teasdale; E T Liu; V Brusic; J Quackenbush; C Wahlestedt; J S Mattick; D A Hume; C Kai; D Sasaki; Y Tomaru; S Fukuda; M Kanamori-Katayama; M Suzuki; J Aoki; T Arakawa; J Iida; K Imamura; M Itoh; T Kato; H Kawaji; N Kawagashira; T Kawashima; M Kojima; S Kondo; H Konno; K Nakano; N Ninomiya; T Nishio; M Okada; C Plessy; K Shibata; T Shiraki; S Suzuki; M Tagami; K Waki; A Watahiki; Y Okamura-Oho; H Suzuki; J Kawai; Y Hayashizaki
Journal:  Science       Date:  2005-09-02       Impact factor: 47.728

8.  An abundance of ubiquitously expressed genes revealed by tissue transcriptome sequence data.

Authors:  Daniel Ramsköld; Eric T Wang; Christopher B Burge; Rickard Sandberg
Journal:  PLoS Comput Biol       Date:  2009-12-11       Impact factor: 4.475

9.  FRT-seq: amplification-free, strand-specific transcriptome sequencing.

Authors:  Lira Mamanova; Robert M Andrews; Keith D James; Elizabeth M Sheridan; Peter D Ellis; Cordelia F Langford; Tobias W B Ost; John E Collins; Daniel J Turner
Journal:  Nat Methods       Date:  2010-01-17       Impact factor: 28.547

10.  Systematic analysis of transcribed loci in ENCODE regions using RACE sequencing reveals extensive transcription in the human genome.

Authors:  Jia Qian Wu; Jiang Du; Joel Rozowsky; Zhengdong Zhang; Alexander E Urban; Ghia Euskirchen; Sherman Weissman; Mark Gerstein; Michael Snyder
Journal:  Genome Biol       Date:  2008-01-03       Impact factor: 13.583

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  6 in total

Review 1.  Interplay of chromatin modifications and non-coding RNAs in the heart.

Authors:  Prabhu Mathiyalagan; Samuel T Keating; Xiao-Jun Du; Assam El-Osta
Journal:  Epigenetics       Date:  2013-10-10       Impact factor: 4.528

Review 2.  Gene expression in the human brain: the current state of the study of specificity and spatiotemporal dynamics.

Authors:  Oksana Yu Naumova; Maria Lee; Sergei Yu Rychkov; Natalia V Vlasova; Elena L Grigorenko
Journal:  Child Dev       Date:  2012-11-12

3.  Platelets-Derived miR-200a-3p Modulate the Expression of ET-1 and VEGFA in Endothelial Cells by Targeting MAPK14.

Authors:  Jie Yang; Hong Xu; Kejie Chen; Danni Zheng; Shuang Liu; Xia Zhou; Yapeng Lin; Hang Cheng; Qin Luo; Min Yang; Xiaoyan Yan; Junli Hao
Journal:  Front Physiol       Date:  2022-06-09       Impact factor: 4.755

4.  Age-related changes of gene expression in the neocortex: preliminary data on RNA-Seq of the transcriptome in three functionally distinct cortical areas.

Authors:  Oksana Yu Naumova; Dean Palejev; Natalia V Vlasova; Maria Lee; Sergei Yu Rychkov; Olga N Babich; Flora M Vaccarino; Elena L Grigorenko
Journal:  Dev Psychopathol       Date:  2012-11

5.  Female-specific induction of rat pituitary dentin matrix protein-1 by GnRH.

Authors:  Marek Kucka; Ivana Bjelobaba; Samuel J H Clokie; David C Klein; Stanko S Stojilkovic
Journal:  Mol Endocrinol       Date:  2013-10-01

Review 6.  Gene expression in the Parkinson's disease brain.

Authors:  Patrick A Lewis; Mark R Cookson
Journal:  Brain Res Bull       Date:  2011-12-03       Impact factor: 4.077

  6 in total

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