Abstract
To understand the pattern of gene expression in mouse myeloid progenitor cells, we carried out a genome-wide analysis of gene expression in mouse bone marrow Gr-1+ cells using SAGE and GLGI techniques. We identified 22,033 unique SAGE tags with quantitative information from 73,869 collected SAGE tags. Among these unique tags, 64% match known sequences, including many genes important for myeloid differentiation, and 36% have no matches to known sequences and are likely to represent novel genes. We compared the expression of mouse Gr-1+ and human CD15+ myeloid progenitor cells and showed that the pattern of gene expression of these two cell populations had some similarities. We also compared the expression of mouse Gr-1+ myeloid progenitor cells with that of mouse brain tissue and found a highly tissue-specific manner of gene expression in these two samples. Our data provide a basis for studying altered gene expression in myeloid disorders using mouse models.
Original language | English |
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Pages (from-to) | 149-162 |
Number of pages | 14 |
Journal | Genomics |
Volume | 77 |
Issue number | 3 |
DOIs | |
State | Published - 15 Aug 2001 |
Keywords
- Gene expression
- Gene profile
- Genome
- GLGI technique
- Novel genes
- SAGE technique