Literature DB >> 9973618

MicroSAGE: a modified procedure for serial analysis of gene expression in limited amounts of tissue.

N A Datson1, J van der Perk-de Jong, M P van den Berg, E R de Kloet, E Vreugdenhil.   

Abstract

Serial Analysis of Gene Expression (SAGE) is a powerful expression profiling method, allowing the analysis of the expression of thousands of transcripts simultaneously. A disadvantage of the method, however, is the relatively high amount of input RNA required. Consequently, SAGE cannot be used for the generation of expression profiles when RNA is limited, i.e. in small biological samples such as tissue biopsies or microdissected material. Here we describe a modification of SAGE, named microSAGE, which requires 500- to 5000-fold less starting material. Compared with SAGE, microSAGE is simplified due to incorporation of a 'single-tube' procedure for all steps from RNA isolation to tag release. Furthermore, a limited number of additional PCR cycles are performed. Using microSAGE gene expression profiles can be obtained from minute quantities of tissue such as a single hippocampal punch from a rat brain slice of 325 micrometers thickness, estimated to contain, at most, 10(5) cells. This method opens up a multitude of new possibilities for the application of SAGE, for example the characterization of expression profiles in tissue biopsies, tumor metastases or in other cases where tissue is scarce and the generation of region-specific expression profiles of complex heterogeneous tissues.

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Year:  1999        PMID: 9973618      PMCID: PMC148316          DOI: 10.1093/nar/27.5.1300

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  22 in total

1.  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

2.  Improved NlaIII digestion of PAGE-purified 102 bp ditags by addition of a single purification step in both the SAGE and microSAGE protocols.

Authors:  J M Angelastro; L P Klimaschewski; O V Vitolo
Journal:  Nucleic Acids Res       Date:  2000-06-15       Impact factor: 16.971

3.  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

4.  A comparative molecular analysis of developing mouse forelimbs and hindlimbs using serial analysis of gene expression (SAGE).

Authors:  E H Margulies; S L Kardia; J W Innis
Journal:  Genome Res       Date:  2001-10       Impact factor: 9.043

5.  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

Review 6.  Methodological considerations regarding single-cell gene expression profiling for brain injury.

Authors:  Jason E Davis; James H Eberwine; David A Hinkle; Paolo G Marciano; David F Meaney; Tracy K McIntosh
Journal:  Neurochem Res       Date:  2004-06       Impact factor: 3.996

7.  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

8.  From punch to profile.

Authors:  E Ronald de Kloet
Journal:  Neurochem Res       Date:  2006-03-30       Impact factor: 3.996

Review 9.  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

Review 10.  Target discovery and validation in pancreatic cancer.

Authors:  Robert M Beaty; Mads Gronborg; Jonathan R Pollack; Anirban Maitra
Journal:  Methods Mol Biol       Date:  2007
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