Literature DB >> 17585303

Robust analysis of 5'-transcript ends: a high-throughput protocol for characterization of sequence diversity of transcription start sites.

Malali Gowda1, Huameng Li, Guo-Liang Wang.   

Abstract

The structure and diversity at the 3' ends of mRNA transcripts have been extensively characterized using several tag-based techniques in eukaryotes. However, the 5' ends of mRNA transcripts are not well understood, owing to a lack of efficient experimental approaches. We developed a new gene expression profiling method, called robust analysis of 5'-transcript ends (5' RATE), to rapidly isolate the 5' ends of mRNA transcripts. After ligating RNA oligo linkers to the 5' regions of decapped mRNA, cDNA is synthesized and digested with the restriction enzyme NlaIII. Ditags are formed by ligating two individual NlaIII tags, and are then PCR-amplified, purified and sequenced using a pyrosequencing approach. The 5'-RATE procedure is simple, fast and cost-effective because the complicated steps in comparative methods such as serial analysis of gene expression (including the formation of concatemers and their subsequent cloning and sequencing) have been eliminated. The longer 5'-RATE tags (>80 bp) provide more accurate matching to reference sequences for gene annotation and allow in-depth analysis of sequence diversity at the 5' regions of mRNA transcripts. Using our procedure, a 5'-RATE library with about 180,000 end sequences can be generated within a week. We have successfully applied the 5'-RATE method to characterize the transcriptome of various plant species including maize, rice and soybean. This method can be easily adapted to other eukaryotic organisms using the detailed procedures described in this protocol.

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Year:  2007        PMID: 17585303     DOI: 10.1038/nprot.2007.242

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


  4 in total

1.  Diverse and tissue-enriched small RNAs in the plant pathogenic fungus, Magnaporthe oryzae.

Authors:  Cristiano C Nunes; Malali Gowda; Joshua Sailsbery; Minfeng Xue; Feng Chen; Douglas E Brown; Yeonyee Oh; Thomas K Mitchell; Ralph A Dean
Journal:  BMC Genomics       Date:  2011-06-02       Impact factor: 3.969

2.  Transcription start site evolution in Drosophila.

Authors:  Bradley J Main; Andrew D Smith; Hyosik Jang; Sergey V Nuzhdin
Journal:  Mol Biol Evol       Date:  2013-05-06       Impact factor: 16.240

3.  Transcriptome analysis of the filamentous fungus Aspergillus nidulans directed to the global identification of promoters.

Authors:  Christopher Sibthorp; Huihai Wu; Gwendolyn Cowley; Prudence W H Wong; Paulius Palaima; Igor Y Morozov; Gareth D Weedall; Mark X Caddick
Journal:  BMC Genomics       Date:  2013-12-03       Impact factor: 3.969

Review 4.  Systems and Synthetic Biology Approaches to Engineer Fungi for Fine Chemical Production.

Authors:  Leonardo Martins-Santana; Luisa C Nora; Ananda Sanches-Medeiros; Gabriel L Lovate; Murilo H A Cassiano; Rafael Silva-Rocha
Journal:  Front Bioeng Biotechnol       Date:  2018-10-03
  4 in total

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