| Status | 已發表Published |
| Genome-Wide Analysis of Gene Expression in Human CD34+ Stem/Progenitor Cells | |
Wang, S. M.
| |
| 2003 | |
| Source Publication | Perspectives in Gene Expression |
| Publication Place | Westboro |
| Publisher | Eaton Publishing |
| Pages | 1-10 |
| Abstract | Hematopoietic stem cells (HSCS) are self-renewable and can differentiate into different hematopoietic lineages, including myelomonocytic, megakaryocytic, lymphoid, and erythroid cells (12,15). HSCS have been widely used in the treatment of hematopoietic disorders, such as leukemia and immunodeficiency diseases (6,21). Recent data also suggest that HSCS are highly plastic. Under certain conditions, they can differentiate into nonhematopoietic cells such as brain, liver, and cardiac cells (1,14,16). These features suggest that hematopoietic stem cells may potentially be used for the treatment of nonhematopoietic disorders such as neural and cardiac diseases (17). Considering the biological importance of stem cells, many attempts have been made to understand the gene expression in these cells using various methods (11,23). Although much knowledge about hematopoietic stem cells has been gained, not much is known about the genetic mechanisms determining their development. We performed a genome-wide analysis of gene expression in human CD34+ stem/progenitor cells to understand the genetic information controlling hematopoietic differentiation. We used serial analysis of gene expression (SAGE) as the major tool in our study. In SAGE, a short tag is released from a transcript, and multiple tags from many transcripts are concatenated for cloning and sequencing (19). SAGE has several unique advantages over other methods, such as collecting tags for nearly every expressed transcript regardless of the expression levels and providing quantitative information for each detected tag. However, there are two limitations associated with using SAGE for gene identification. One is that multiple genes may share the same tag sequence, resulting in difficulty in identifying the correct gene from the SAGE tag, and the other is that a tag may not have a match to an existing gene as the genes contributing to the SAGE tag may have not been identified. The short length of a SAGE tag prevents the further analysis of its corresponding gene. To overcome these limitations, we developed the generation of longer DNA fragments from SAGE tags for gene identification (GLGI) technique to convert the SAGE tags into the corresponding 3′ cDNA (10). Such extended 3′ cDNAs are 100 bases long. As a result, these 3′ cDNAs provide high specificity for identifying the correct genes from multiple genes sharing the same tag and provide longer sequences for further analysis of the potential novel genes. |
| Keyword | CD34 blood progenitor cell SAGE gene expression |
| Language | 英語English |
| ISBN | NA |
| The Source to Article | PB_Publication |
| PUB ID | 43513 |
| Document Type | Book chapter |
| Collection | DEPARTMENT OF PUBLIC HEALTH AND MEDICINAL ADMINISTRATION |
| Recommended Citation GB/T 7714 | Wang, S. M.. Genome-Wide Analysis of Gene Expression in Human CD34+ Stem/Progenitor Cells[M]. Perspectives in Gene Expression, Westboro:Eaton Publishing, 2003, 1-10. |
| APA | Wang, S. M..(2003). Genome-Wide Analysis of Gene Expression in Human CD34+ Stem/Progenitor Cells. Perspectives in Gene Expression, 1-10. |
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