Literature DB >> 10572191

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

D G Peters1, A B Kassam, H Yonas, E H O'Hare, R E Ferrell, A M Brufsky.   

Abstract

Serial analysis of gene expression (SAGE) is a powerful technique that can be used for global analysis of gene expression. Its chief advantage over other methods is that SAGE does not require prior knowledge of the genes of interest and provides quantitative and qualitative data of potentially every transcribed sequence in a particular tissue or cell type. Furthermore, SAGE can quantify low-abundance transcripts and reliably detect relatively small differences in transcript abundance between cell populations. However, SAGE demands high input levels of mRNA which are often unavailable, particularly when studying human disease. To overcome this limitation, we have developed a modification of SAGE that allows detailed global analysis of gene expression in extremely small quantities of tissue or cultured cells. We have called this approach 'SAGE-Lite'. This technique was used for the global analysis of transcription in samples of normal and pathological human cerebrovasculature to study the molecular pathology of intracranial aneurysms. These samples, which are obtained during operative surgical repair, are typically no bigger than 1 or 2 mm and yield <100 ng of total RNA. In addition, we show that SAGE-Lite allows simple and rapid isolation of long cDNAs from short (15 bp) SAGE sequence tags.

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Year:  1999        PMID: 10572191      PMCID: PMC148762          DOI: 10.1093/nar/27.24.e39

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


  28 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.  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

3.  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

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

5.  A mouse atlas of gene expression: large-scale digital gene-expression profiles from precisely defined developing C57BL/6J mouse tissues and cells.

Authors:  Asim S Siddiqui; Jaswinder Khattra; Allen D Delaney; Yongjun Zhao; Caroline Astell; Jennifer Asano; Ryan Babakaiff; Sarah Barber; Jaclyn Beland; Slavita Bohacec; Mabel Brown-John; Steve Chand; David Charest; Anita M Charters; Rebecca Cullum; Noreen Dhalla; Ruth Featherstone; Daniela S Gerhard; Brad Hoffman; Robert A Holt; Juan Hou; Byron Y-L Kuo; Lisa L C Lee; Stephanie Lee; Derek Leung; Kevin Ma; Corey Matsuo; Michael Mayo; Helen McDonald; Anna-liisa Prabhu; Pawan Pandoh; Gregory J Riggins; Teresa Ruiz de Algara; James L Rupert; Duane Smailus; Jeff Stott; Miranda Tsai; Richard Varhol; Pavle Vrljicak; David Wong; Mona K Wu; Yuan-Yun Xie; George Yang; Ida Zhang; Martin Hirst; Steven J M Jones; Cheryl D Helgason; Elizabeth M Simpson; Pamela A Hoodless; Marco A Marra
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-13       Impact factor: 11.205

6.  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

Review 7.  Proteomic approaches to dissect platelet function: Half the story.

Authors:  Dmitri V Gnatenko; Peter L Perrotta; Wadie F Bahou
Journal:  Blood       Date:  2006-08-22       Impact factor: 22.113

Review 8.  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 9.  Target discovery and validation in pancreatic cancer.

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

10.  Profiling the T-cell receptor beta-chain repertoire by massively parallel sequencing.

Authors:  J Douglas Freeman; René L Warren; John R Webb; Brad H Nelson; Robert A Holt
Journal:  Genome Res       Date:  2009-06-18       Impact factor: 9.043

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