Literature DB >> 19277558

Large-scale sequencing and analytical processing of ESTs.

Makedonka Mitreva1, Elaine R Mardis.   

Abstract

Expressed sequence tags (ESTs) have proven to be one of the most rapid and cost-effective routes to gene discovery for eukaryotic genomes. Furthermore, their multipurpose uses, such as in probe design for microarrays, determining alternative splicing, verifying open reading frames, and confirming exon/intron and gene boundaries, to name a few, further justify their inclusion in many genomic characterization projects. Hence, there has been a constant increase in the number of ESTs deposited into the dbEST division of GenBank. This trend also correlates to ever-improving molecular techniques for obtaining biological material, performing RNA extraction, and constructing cDNA libraries, and predominantly to ever-evolving sequencing chemistry and instrumentation, as well as to decreased sequencing costs. This chapter describes large-scale sequencing of ESTs on two distinct platforms: the ABI 3730xl and the 454 Life Sciences GS20 sequencers, and the corresponding processes of sequence extraction, processing, and submissions to public databases. While the conventional 3730xl sequencing process is described, starting with the plating of an already-existing cDNA library, the section on 454 GS20 pyrosequencing also includes a method for generating full-length cDNA sequences. With appropriate bioinformatics tools, each of these platforms either used independently or coupled together provide a powerful combination for comprehensive exploration of an organism's transcriptome.

Mesh:

Substances:

Year:  2009        PMID: 19277558     DOI: 10.1007/978-1-60327-136-3_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  8 in total

1.  RISC RNA sequencing for context-specific identification of in vivo microRNA targets.

Authors:  Scot J Matkovich; Derek J Van Booven; William H Eschenbacher; Gerald W Dorn
Journal:  Circ Res       Date:  2010-10-28       Impact factor: 17.367

2.  Towards an understanding of the nature of resistance to Phytophthora root rot in red raspberry.

Authors:  J Graham; C A Hackett; K Smith; M Woodhead; K MacKenzie; I Tierney; D Cooke; M Bayer; N Jennings
Journal:  Theor Appl Genet       Date:  2011-05-15       Impact factor: 5.699

3.  First transcriptomic analysis of the economically important parasitic nematode, Trichostrongylus colubriformis, using a next-generation sequencing approach.

Authors:  Cinzia Cantacessi; Makedonka Mitreva; Bronwyn E Campbell; Ross S Hall; Neil D Young; Aaron R Jex; Shoba Ranganathan; Robin B Gasser
Journal:  Infect Genet Evol       Date:  2010-08-06       Impact factor: 3.342

4.  Characterizing Ancylostoma caninum transcriptome and exploring nematode parasitic adaptation.

Authors:  Zhengyuan Wang; Sahar Abubucker; John Martin; Richard K Wilson; John Hawdon; Makedonka Mitreva
Journal:  BMC Genomics       Date:  2010-05-14       Impact factor: 3.969

5.  Massively parallel sequencing and analysis of the Necator americanus transcriptome.

Authors:  Cinzia Cantacessi; Makedonka Mitreva; Aaron R Jex; Neil D Young; Bronwyn E Campbell; Ross S Hall; Maria A Doyle; Stuart A Ralph; Elida M Rabelo; Shoba Ranganathan; Paul W Sternberg; Alex Loukas; Robin B Gasser
Journal:  PLoS Negl Trop Dis       Date:  2010-05-11

Review 6.  The oral microbiota: living with a permanent guest.

Authors:  Maria Avila; David M Ojcius; Ozlem Yilmaz
Journal:  DNA Cell Biol       Date:  2009-08       Impact factor: 3.311

7.  Proteomic analysis of Oesophagostomum dentatum (Nematoda) during larval transition, and the effects of hydrolase inhibitors on development.

Authors:  Martina Ondrovics; Katja Silbermayr; Makedonka Mitreva; Neil D Young; Ebrahim Razzazi-Fazeli; Robin B Gasser; Anja Joachim
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

8.  Exploring the host parasitism of the migratory plant-parasitic nematode Ditylenchus destuctor by expressed sequence tags analysis.

Authors:  Huan Peng; Bing-li Gao; Ling-an Kong; Qing Yu; Wen-kun Huang; Xu-feng He; Hai-bo Long; De-liang Peng
Journal:  PLoS One       Date:  2013-07-29       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.