Generation of longer cDNA fragments from serial analysis of gene expression tags for gene identification

Citation
Jj. Chen et al., Generation of longer cDNA fragments from serial analysis of gene expression tags for gene identification, P NAS US, 97(1), 2000, pp. 349-353
Citations number
13
Categorie Soggetti
Multidisciplinary
Journal title
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN journal
00278424 → ACNP
Volume
97
Issue
1
Year of publication
2000
Pages
349 - 353
Database
ISI
SICI code
0027-8424(20000104)97:1<349:GOLCFF>2.0.ZU;2-J
Abstract
We have developed a technique called the generation of longer cDNA fragment s from serial analysis of gene expression (SAGE) tags for gene identificati on (GLGI), to convert SAGE tags of 10 bases into their corresponding 3' cDN A fragments covering hundred bases, A primer containing the 10-base SAGE ta g is used as the sense primer, and a single base anchored oligo(dT) primer is used as an antisense primer in PCR, together with Pfu DNA polymerase. By using this approach, a cDNA fragment extending from the SAGE tag toward th e 3' end of the corresponding sequence can be generated. Application of the GLGI technique can solve two critical issues in applying the SAGE techniqu e: one is that a longer fragment corresponding to a SAGE tag, which has no match in databases, can be generated for further studies; the other is that the specific fragment corresponding to a SAGE tag can be identified from m ultiple sequences that match the same SAGE tag. The development of the GLGI method provides several potential applications. First, it provides a strat egy for even wider application of the SAGE technique for quantitative analy sis of global gene expression. Second, a combined application of SAGE/GLGI can be used to complete the catalogue of the expressed genes in human and i n other eukaryotic species. Third, it can be used to identify the 3' cDNA s equence from any exon within a gene. It can also be used to confirm the rea lity of exons predicted by bioinformatic tools in genomic sequences. Fourth , a combined application of SAGE/GLGI can be applied to define the 3' bound ary of expressed genes in the genomic sequences in human and in other eukar yotic genomes.