title: Correct identification of genes from serial analysis of gene expression tag sequences.
abstract: SAGE (serial analysis of gene expression) is a remarkable technique for genome-wide analysis of gene expression. It is crucial to understand the extent to which SAGE can accurately indicate a gene or expressed sequence tag (EST) with a single tag. We analyzed the effect of the size of SAGE tag on gene identification. Our observation indicates that SAGE tags are in general not long enough to achieve the degree of uniqueness of identification originally envisaged. Our observations also indicate that the limitation of using SAGE tag to identify a gene can be overcome by converting SAGE tags into longer 3' EST sequences with the generation of longer cDNA fragments from SAGE tages for gene identification (GLGI) method.
authors.affiliation: Department of Medicine, University of Chicago, 5841 S. Maryland, MC2115, Chicago, Illinois 60637, USA.
authors.forename: Sanggyu
authors.initials: S
authors.lastname: Lee
authors.forename: Terry
authors.initials: T
authors.lastname: Clark
authors.forename: Jianjun
authors.initials: J
authors.lastname: Chen
authors.forename: Guolin
authors.initials: G
authors.lastname: Zhou
authors.forename: L Ridgway
authors.initials: LR
authors.lastname: Scott
authors.forename: Janet D
authors.initials: JD
authors.lastname: Rowley
authors.forename: San Ming
authors.initials: SM
authors.lastname: Wang
mesh_terms: D020224:Expressed Sequence Tags; D020869:Gene Expression Profiling; D015894:Genome, Human; D006801:Humans