Literature DB >> 11078594

miniSAGE: gene expression profiling using serial analysis of gene expression from 1 microg total RNA.

S Q Ye1, L Q Zhang, F Zheng, D Virgil, P O Kwiterovich.   

Abstract

The use of serial analysis of gene expression (SAGE) to determine gene expression profiles is increasing because the technique can provide absolute transcript numbers in a digital format and identify new genes. We developed a miniSAGE technique, which uses only 1 microg total RNA and reduces the amount of the starting material by 250- to 500-fold. Unlike the other modified SAGE methods, the miniSAGE technique does not require the additional PCR amplifications. The additional PCR amplifications potentially introduce bias and compromise the quantitative aspects of the SAGE method. Three key modifications in the miniSAGE technique are: (i) using the phase lock gel (PLG, Eppendorf) to increase the recovery and the purity of DNA material after each phenol extraction step; (ii) reducing the amount of linkers in the ligation, thereby minimizing their interference with SAGE ditag amplification and increasing the SAGE ditag yield; and (iii) employing the mRNA capture kit (Boehringer Mannheim) to allow the first five steps: mRNA isolation, cDNA synthesis, enzyme cleavage of cDNA, binding of the cleaved biotin-cDNA to the streptavidin-magnetic beads, ligating linkers to the bound cDNA, and the release of cDNA tags to occur within one tube to significantly reduce the loss of material between successive steps. Two fibroblast SAGE libraries have been successfully prepared. The preliminary analysis of 3838 tags from one library demonstrated a typical fibroblast gene expression pattern. This miniSAGE technique will permit a broader application of SAGE. Copyright 2000 Academic Press.

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Year:  2000        PMID: 11078594     DOI: 10.1006/abio.2000.4846

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  7 in total

1.  Identification and prevention of a GC content bias in SAGE libraries.

Authors:  E H Margulies; S L Kardia; J W Innis
Journal:  Nucleic Acids Res       Date:  2001-06-15       Impact factor: 16.971

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

Authors:  Catheline Vilain; Frederick Libert; David Venet; Sabine Costagliola; Gilbert Vassart
Journal:  Nucleic Acids Res       Date:  2003-03-15       Impact factor: 16.971

3.  Increasing the efficiency of SAGE adaptor ligation by directed ligation chemistry.

Authors:  Austin P So; Robin F B Turner; Charles A Haynes
Journal:  Nucleic Acids Res       Date:  2004-07-06       Impact factor: 16.971

4.  aRNA-longSAGE: a new approach to generate SAGE libraries from microdissected cells.

Authors:  Anna M Heidenblut; Jutta Lüttges; Malte Buchholz; Christian Heinitz; Jeppe Emmersen; Kåre Lehmann Nielsen; Pat Schreiter; Manfred Souquet; Sandra Nowacki; Ulrike Herbrand; Günter Klöppel; Wolff Schmiegel; Thomas Gress; Stephan A Hahn
Journal:  Nucleic Acids Res       Date:  2004-09-15       Impact factor: 16.971

Review 5.  Global analysis of gene expression in mammalian kidney.

Authors:  Olga Soutourina; Lydie Cheval; Alain Doucet
Journal:  Pflugers Arch       Date:  2004-12-21       Impact factor: 3.657

6.  Analysis of long-lived C. elegans daf-2 mutants using serial analysis of gene expression.

Authors:  Julius Halaschek-Wiener; Jaswinder S Khattra; Sheldon McKay; Anatoli Pouzyrev; Jeff M Stott; George S Yang; Robert A Holt; Steven J M Jones; Marco A Marra; Angela R Brooks-Wilson; Donald L Riddle
Journal:  Genome Res       Date:  2005-04-18       Impact factor: 9.043

7.  MicroSAGE is highly representative and reproducible but reveals major differences in gene expression among samples obtained from similar tissues.

Authors:  Seth Blackshaw; Winston P Kuo; Peter J Park; Motokazu Tsujikawa; Jenny M Gunnersen; Hamish S Scott; Wee-Ming Boon; Seong-Seng Tan; Constance L Cepko
Journal:  Genome Biol       Date:  2003-02-18       Impact factor: 13.583

  7 in total

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