Literature DB >> 15020752

Robust-LongSAGE (RL-SAGE): a substantially improved LongSAGE method for gene discovery and transcriptome analysis.

Malali Gowda1, Chatchawan Jantasuriyarat, Ralph A Dean, Guo-Liang Wang.   

Abstract

Serial analysis of gene expression (SAGE) is a widely used technique for large-scale transcriptome analysis in mammalian systems. Recently, a modified version called LongSAGE (S. Saha, A.B. Sparks, C. Rago, V. Akmaev, C.J. Wang, B. Vogelstein, K.W. Kinzler [2002] Nat Biotechnol 20: 508-512) was reported by increasing tag length up to 21 bp. Although the procedures for these two methods are similar, a detailed protocol for LongSAGE library construction has not been reported yet, and several technical difficulties associated with concatemer cloning and purification have not been solved. In this study, we report a substantially improved LongSAGE method called Robust-LongSAGE, which has four major improvements when compared with the previously reported protocols. First, a small amount of mRNA (50 ng) was enough for a library construction. Second, enhancement of cDNA adapter and ditag formation was achieved through an extended ligation period (overnight). Third, only 20 ditag polymerase chain reactions were needed to obtain a complete library (up to 90% reduction compared with the original protocols). Fourth, concatemers were partially digested with NlaIII before cloning into vector (pZEro-1), greatly improving cloning efficiency. The significant contribution of Robust-LongSAGE is that it solved the major technical difficulties, such as low cloning efficiency and small insert sizes associated with existing SAGE and LongSAGE protocols. Using this protocol, one can generate two to three libraries, each containing over 4.5 million tags, within a month. We recently have constructed five libraries from rice (Oryza sativa), one from maize (Zea mays), and one from the rice blast fungus (Magnaporthe grisea).

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Year:  2004        PMID: 15020752      PMCID: PMC389912          DOI: 10.1104/pp.103.034496

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  30 in total

1.  Comprehensive transcript analysis in small quantities of mRNA by SAGE-lite.

Authors:  D G Peters; A B Kassam; H Yonas; E H O'Hare; R E Ferrell; A M Brufsky
Journal:  Nucleic Acids Res       Date:  1999-12-15       Impact factor: 16.971

2.  Serial microanalysis of renal transcriptomes.

Authors:  B Virlon; L Cheval; J M Buhler; E Billon; A Doucet; J M Elalouf
Journal:  Proc Natl Acad Sci U S A       Date:  1999-12-21       Impact factor: 11.205

3.  Small amplified RNA-SAGE: an alternative approach to study transcriptome from limiting amount of mRNA.

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Journal:  Nucleic Acids Res       Date:  2003-03-15       Impact factor: 16.971

4.  Substantially enhanced cloning efficiency of SAGE (Serial Analysis of Gene Expression) by adding a heating step to the original protocol.

Authors:  M Kenzelmann; K Mühlemann
Journal:  Nucleic Acids Res       Date:  1999-02-01       Impact factor: 16.971

5.  Serial analysis of gene expression in Plasmodium falciparum reveals the global expression profile of erythrocytic stages and the presence of anti-sense transcripts in the malarial parasite.

Authors:  S Patankar; A Munasinghe; A Shoaibi; L M Cummings; D F Wirth
Journal:  Mol Biol Cell       Date:  2001-10       Impact factor: 4.138

6.  Initial assessment of human gene diversity and expression patterns based upon 83 million nucleotides of cDNA sequence.

Authors:  M D Adams; A R Kerlavage; R D Fleischmann; R A Fuldner; C J Bult; N H Lee; E F Kirkness; K G Weinstock; J D Gocayne; O White
Journal:  Nature       Date:  1995-09-28       Impact factor: 49.962

7.  Using the transcriptome to annotate the genome.

Authors:  Saurabh Saha; Andrew B Sparks; Carlo Rago; Viatcheslav Akmaev; Clarence J Wang; Bert Vogelstein; Kenneth W Kinzler; Victor E Velculescu
Journal:  Nat Biotechnol       Date:  2002-05       Impact factor: 54.908

8.  Genes expressed in the Drosophila head reveal a role for fat cells in sex-specific physiology.

Authors:  Shinsuke Fujii; Hubert Amrein
Journal:  EMBO J       Date:  2002-10-15       Impact factor: 11.598

9.  A draft sequence of the rice genome (Oryza sativa L. ssp. japonica).

Authors:  Stephen A Goff; Darrell Ricke; Tien-Hung Lan; Gernot Presting; Ronglin Wang; Molly Dunn; Jane Glazebrook; Allen Sessions; Paul Oeller; Hemant Varma; David Hadley; Don Hutchison; Chris Martin; Fumiaki Katagiri; B Markus Lange; Todd Moughamer; Yu Xia; Paul Budworth; Jingping Zhong; Trini Miguel; Uta Paszkowski; Shiping Zhang; Michelle Colbert; Wei-lin Sun; Lili Chen; Bret Cooper; Sylvia Park; Todd Charles Wood; Long Mao; Peter Quail; Rod Wing; Ralph Dean; Yeisoo Yu; Andrey Zharkikh; Richard Shen; Sudhir Sahasrabudhe; Alun Thomas; Rob Cannings; Alexander Gutin; Dmitry Pruss; Julia Reid; Sean Tavtigian; Jeff Mitchell; Glenn Eldredge; Terri Scholl; Rose Mary Miller; Satish Bhatnagar; Nils Adey; Todd Rubano; Nadeem Tusneem; Rosann Robinson; Jane Feldhaus; Teresita Macalma; Arnold Oliphant; Steven Briggs
Journal:  Science       Date:  2002-04-05       Impact factor: 47.728

10.  SAGE profiling and demonstration of differential gene expression along the axial developmental gradient of lignifying xylem in loblolly pine (Pinus taeda).

Authors:  W Walter Lorenz; Jeffrey F D Dean
Journal:  Tree Physiol       Date:  2002-04       Impact factor: 4.196

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  28 in total

Review 1.  Methods for transcriptional profiling in plants. Be fruitful and replicate.

Authors:  Blake C Meyers; David W Galbraith; Timothy Nelson; Vikas Agrawal
Journal:  Plant Physiol       Date:  2004-06-01       Impact factor: 8.340

2.  Serial analysis of gene expression study of a hybrid rice strain (LYP9) and its parental cultivars.

Authors:  JingYue Bao; Sanggyu Lee; Chen Chen; XiuQing Zhang; Yu Zhang; SiQi Liu; Terry Clark; Jian Wang; MengLiang Cao; HuanMing Yang; San Ming Wang; Jun Yu
Journal:  Plant Physiol       Date:  2005-07       Impact factor: 8.340

3.  Large-scale production of SAGE libraries from microdissected tissues, flow-sorted cells, and cell lines.

Authors:  Jaswinder Khattra; Allen D Delaney; Yongjun Zhao; Asim Siddiqui; Jennifer Asano; Helen McDonald; Pawan Pandoh; Noreen Dhalla; Anna-Liisa Prabhu; Kevin Ma; Stephanie Lee; Adrian Ally; Angela Tam; Danne Sa; Sean Rogers; David Charest; Jeff Stott; Scott Zuyderduyn; Richard Varhol; Connie Eaves; Steven Jones; Robert Holt; Martin Hirst; Pamela A Hoodless; Marco A Marra
Journal:  Genome Res       Date:  2006-11-29       Impact factor: 9.043

4.  Sequencing multiple and diverse rice varieties. Connecting whole-genome variation with phenotypes.

Authors:  Kenneth L McNally; Richard Bruskiewich; David Mackill; C Robin Buell; Jan E Leach; Hei Leung
Journal:  Plant Physiol       Date:  2006-05       Impact factor: 8.340

5.  The maize root transcriptome by serial analysis of gene expression.

Authors:  V Poroyko; L G Hejlek; W G Spollen; G K Springer; H T Nguyen; R E Sharp; H J Bohnert
Journal:  Plant Physiol       Date:  2005-06-17       Impact factor: 8.340

6.  Translational genomics for bioenergy production: there's room for more than one model.

Authors:  Daniel R Bush; Jan E Leach
Journal:  Plant Cell       Date:  2007-10       Impact factor: 11.277

7.  Genomic and population analyses of the mating type loci in Coccidioides species reveal evidence for sexual reproduction and gene acquisition.

Authors:  M Alejandra Mandel; Bridget M Barker; Scott Kroken; Steven D Rounsley; Marc J Orbach
Journal:  Eukaryot Cell       Date:  2007-05-18

8.  A comparative analysis of transcript abundance using SAGE and Affymetrix arrays.

Authors:  Adel F M Ibrahim; Peter E Hedley; Linda Cardle; Warren Kruger; David F Marshall; Gary J Muehlbauer; Robbie Waugh
Journal:  Funct Integr Genomics       Date:  2005-02-16       Impact factor: 3.410

Review 9.  Deeply dissecting stemness: making sense to non-coding RNAs in stem cells.

Authors:  Shizuka Uchida; Pascal Gellert; Thomas Braun
Journal:  Stem Cell Rev Rep       Date:  2012-03       Impact factor: 5.739

10.  RL-SAGE and microarray analysis of the rice transcriptome after Rhizoctonia solani infection.

Authors:  R C Venu; Yulin Jia; Malali Gowda; Melissa H Jia; Chatchawan Jantasuriyarat; Eric Stahlberg; Huameng Li; Andrew Rhineheart; Prashanth Boddhireddy; Pratibha Singh; Neil Rutger; David Kudrna; Rod Wing; James C Nelson; Guo-Liang Wang
Journal:  Mol Genet Genomics       Date:  2007-06-20       Impact factor: 3.291

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