Unknown

Dataset Information

0

The pattern of gene expression in human CD15+ myeloid progenitor cells.


ABSTRACT: We performed a genome-wide analysis of gene expression in primary human CD15(+) myeloid progenitor cells. By using the serial analysis of gene expression (SAGE) technique, we obtained quantitative information for the expression of 37,519 unique SAGE-tag sequences. Of these unique tags, (i) 25% were detected at high and intermediate levels, whereas 75% were present as single copies, (ii) 53% of the tags matched known expressed sequences, 34% of which were matched to more than one known expressed sequence, and (iii) 47% of the tags had no matches and represent potentially novel genes. The correct genes were confirmed by application of the generation of longer cDNA fragments from SAGE tags for gene identification (GLGI) technique for high-copy tags with multiple matches. A set of genes known to be important in myeloid differentiation were expressed at various levels and used different spliced forms. This study provides a normal baseline for comparison of gene expression in myeloid diseases. The strategy of using SAGE and GLGI techniques in this study has broad applications to the genome-wide identification of expressed genes.

SUBMITTER: Lee S 

PROVIDER: S-EPMC30655 | biostudies-literature | 2001 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

The pattern of gene expression in human CD15+ myeloid progenitor cells.

Lee S S   Zhou G G   Clark T T   Chen J J   Rowley J D JD   Wang S M SM  

Proceedings of the National Academy of Sciences of the United States of America 20010301 6


We performed a genome-wide analysis of gene expression in primary human CD15(+) myeloid progenitor cells. By using the serial analysis of gene expression (SAGE) technique, we obtained quantitative information for the expression of 37,519 unique SAGE-tag sequences. Of these unique tags, (i) 25% were detected at high and intermediate levels, whereas 75% were present as single copies, (ii) 53% of the tags matched known expressed sequences, 34% of which were matched to more than one known expressed  ...[more]

Similar Datasets

2008-10-03 | GSE13007 | GEO
2008-10-03 | E-GEOD-13007 | biostudies-arrayexpress
| S-EPMC61150 | biostudies-literature
| S-EPMC2597094 | biostudies-literature
| S-EPMC374258 | biostudies-literature
| S-EPMC8717624 | biostudies-literature
| S-EPMC4535898 | biostudies-literature
2005-03-01 | GSE2346 | GEO
| S-EPMC2358905 | biostudies-literature
| S-EPMC1828482 | biostudies-literature