Literature DB >> 17545977

AFLP-based transcript profiling (cDNA-AFLP) for genome-wide expression analysis.

Marnik Vuylsteke1, Johan D Peleman, Michiel J T van Eijk.   

Abstract

Although DNA microarrays are currently the standard tool for genome-wide expression analysis, their application is limited to organisms for which the complete genome sequence or large collections of known transcript sequences are available. Here, we describe a protocol for cDNA-AFLP, an AFLP-based transcript profiling method that allows genome-wide expression analysis in any species without the need for prior sequence knowledge. In essence, the cDNA-AFLP method involves reverse transcription of mRNA into double-stranded cDNA, followed by restriction digestion, ligation of specific adapters and fractionation of this mixture of cDNA fragments into smaller subsets by selective PCR amplification. The resulting cDNA-AFLP fragments are separated on high-resolution gels, and visualization of cDNA-AFLP fingerprints is described using either a conventional autoradiography platform or an automated LI-COR system. Observed differences in band intensities between samples provide a good measure of the relative differences in the gene expression levels. Identification of differentially expressed genes can be accomplished by purifying cDNA-AFLP fragments from sequence gels and subsequent sequencing. This method has found widespread use as an attractive technology for gene discovery on the basis of fragment detection and for temporal quantitative gene expression analysis. The protocol can be completed in 3-4 d.

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Year:  2007        PMID: 17545977     DOI: 10.1038/nprot.2007.174

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  45 in total

1.  cDNA-AFLP-based genetical genomics in cotton fibers.

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2.  Characterization of maize B-chromosome-related transcripts isolated via cDNA-AFLP.

Authors:  Huan-Zhi Lin; Wei-De Lin; Chien-Yu Lin; Shu-Fen Peng; Ya-Ming Cheng
Journal:  Chromosoma       Date:  2014-08-01       Impact factor: 4.316

Review 3.  Large-scale tag/PCR-based gene expression profiling.

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Journal:  World J Microbiol Biotechnol       Date:  2014-08       Impact factor: 3.312

4.  Two distinct classes of protein related to GTB and RRM are critical in the sclerotial metamorphosis process of Rhizoctonia solani AG-1 IA.

Authors:  Canwei Shu; Jieling Chen; Si Sun; Meiling Zhang; Chenjiaozi Wang; Erxun Zhou
Journal:  Funct Integr Genomics       Date:  2015-03-13       Impact factor: 3.410

5.  The protein quality control system manages plant defence compound synthesis.

Authors:  Jacob Pollier; Tessa Moses; Miguel González-Guzmán; Nathan De Geyter; Saskia Lippens; Robin Vanden Bossche; Peter Marhavý; Anna Kremer; Kris Morreel; Christopher J Guérin; Aldo Tava; Wieslaw Oleszek; Johan M Thevelein; Narciso Campos; Sofie Goormachtig; Alain Goossens
Journal:  Nature       Date:  2013-11-10       Impact factor: 49.962

6.  Physiological and transcriptomic evidence for a close coupling between chloroplast ontogeny and cell cycle progression in the pennate diatom Seminavis robusta.

Authors:  Jeroen Gillard; Valerie Devos; Marie J J Huysman; Lieven De Veylder; Sofie D'Hondt; Cindy Martens; Pieter Vanormelingen; Katrijn Vannerum; Koen Sabbe; Victor A Chepurnov; Dirk Inzé; Marnik Vuylsteke; Wim Vyverman
Journal:  Plant Physiol       Date:  2008-09-26       Impact factor: 8.340

7.  Insights into the role of differential gene expression on the ecological adaptation of the snail Littorina saxatilis.

Authors:  Mónica Martínez-Fernández; Louis Bernatchez; Emilio Rolán-Alvarez; Humberto Quesada
Journal:  BMC Evol Biol       Date:  2010-11-18       Impact factor: 3.260

8.  ATG-anchored AFLP (ATG-AFLP) analysis in cotton.

Authors:  Yingzhi Lu; Jessica Curtiss; Danielle Miranda; Ed Hughs; Jinfa Zhang
Journal:  Plant Cell Rep       Date:  2008-06-27       Impact factor: 4.570

9.  Exercise-induced up-regulation of MMP-1 and IL-8 genes in endurance horses.

Authors:  Katia Cappelli; Michela Felicetti; Stefano Capomaccio; Camillo Pieramati; Maurizio Silvestrelli; Andrea Verini-Supplizi
Journal:  BMC Physiol       Date:  2009-06-24

10.  Combining next-generation pyrosequencing with microarray for large scale expression analysis in non-model species.

Authors:  Diana Bellin; Alberto Ferrarini; Antonio Chimento; Olaf Kaiser; Natasha Levenkova; Pascal Bouffard; Massimo Delledonne
Journal:  BMC Genomics       Date:  2009-11-24       Impact factor: 3.969

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