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Improved Protocol for SAGE Tag-to-Gene Allocation
Author(s) -
Ute Kannbley,
Krisztian Kapinya,
Ulrich Dirnagl,
George Trendelenburg
Publication year - 2003
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/03346st04
Subject(s) - serial analysis of gene expression , sage , computational biology , gene , biology , complementary dna , genetics , expressed sequence tag , gene expression , gene expression profiling , physics , nuclear physics
Serial analysis of gene expression (SAGE) is a powerful method for large-scale analysis of gene expression patterns. SAGE yields digital information on transcript abundance by the use of short sequence fragments (tags). Because SAGE does not require a priori knowledge of the expressed genes in the starting material, SAGE can be used for gene discovery. Unfortunately, correct tag-to-gene discovery. Unfortunately, correct tag-to-gene allocation after SAGE remains problematic when the short sequence of the tag corresponds to more than one gene in the reference database or when novel yet uncloned genes were detected. To overcome this problem, we developed an improved protocol for the proper identification of tag-corresponding genes. It relies on the isolation of 3'-terminal cDNA restriction fragments by the use of paramagnetic streptavidin beads and the ligation of linkers before the amplification step. Our protocol benefits from additional information encoded in each SAGE tag: its location 3'-terminal to the last NlaIII restriction site in the cDNA. In contrast to previously described protocols, stringent PCR conditions can be applied because of the length of the specific primers, which are composed of linker- and tag-specific sequences. Additionally, we demonstrate that our protocol yields quantitative information that can be used for further expression analysis of specific SAGE tags.

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