The impact of SNPs on the interpretation of SAGE and MPSS experimental data

被引:27
作者
Silva, APM
De Souza, JES
Galante, PAF
Riggins, GJ
De Souza, SJ
Camargo, AA
机构
[1] Ludwig Inst Canc Res, Lab Mol Biol & Genom, BR-01509010 Sao Paulo, Brazil
[2] Ludwig Inst Canc Res, Lab Computat Biol, BR-01509010 Sao Paulo, Brazil
[3] Univ Sao Paulo, Dept Biochem, BR-05508900 Sao Paulo, Brazil
[4] Univ Sao Paulo, Interunit Bioinformat, BR-05508900 Sao Paulo, Brazil
[5] Johns Hopkins Univ, Sch Med, Baltimore, MD 21224 USA
基金
巴西圣保罗研究基金会;
关键词
D O I
10.1093/nar/gkh937
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Serial Analysis of Gene Expression (SAGE) and Massively Parallel Signature Sequencing (MPSS) are powerful techniques for gene expression analysis. A crucial step in analyzing SAGE and MPSS data is the assignment of experimentally obtained tags to a known transcript. However, tag to transcript assignment is not a straightforward process since alternative tags for a given transcript can also be experimentally obtained. Here, we have evaluated the impact of Single Nucleotide Polymorphisms (SNPs) on the generation of alternative SAGE and MPSS tags. This was achieved through the construction of a reference database of SNP-associated alternative tags, which has been integrated with SAGE Genie. A total of 2020 SNP-associated alternative tags were catalogued in our reference database and at least one SNP-associated alternative tag was observed for similar to8.6% of all known human genes. A significant fraction (61.9%) of these alternative tags matched a list of experimentally obtained tags, validating their existence. In addition, the origin of four out of five SNP-associated alternative MPSS tags was experimentally confirmed through the use of the GLGI-MPSS protocol (Generation of Long cDNA fragments for Gene Identification). The availability of our SNP-associated alternative tag database will certainly improve the interpretation of SAGE and MPSS experiments.
引用
收藏
页码:6104 / 6110
页数:7
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