TY - JOUR
T1 - The pattern of gene expression in human CD15+ myeloid progenitor cells
AU - Lee, Sanggyu
AU - Zhou, Guolin
AU - Clark, Terry
AU - Chen, Jianjun
AU - Rowley, Janet D.
AU - Wang, San Ming
PY - 2001/3/13
Y1 - 2001/3/13
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0035853090&partnerID=8YFLogxK
U2 - 10.1073/pnas.051013798
DO - 10.1073/pnas.051013798
M3 - Article
C2 - 11248080
AN - SCOPUS:0035853090
SN - 0027-8424
VL - 98
SP - 3340
EP - 3345
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 6
ER -