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Detecting novel low-abundant transcripts in Drosophila   总被引:2,自引:0,他引:2  
Lee S  Bao J  Zhou G  Shapiro J  Xu J  Shi RZ  Lu X  Clark T  Johnson D  Kim YC  Wing C  Tseng C  Sun M  Lin W  Wang J  Yang H  Wang J  Du W  Wu CI  Zhang X  Wang SM 《RNA (New York, N.Y.)》2005,11(6):939-946
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The pattern of gene expression in mouse Gr-1(+) myeloid progenitor cells   总被引:1,自引:0,他引:1  
Chen J  Rowley DA  Clark T  Lee S  Zhou G  Beck C  Rowley JD  Wang SM 《Genomics》2001,77(3):149-162
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.  相似文献   

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Recent reports have demonstrated that a significant proportion of human genes display allelic differential expression (ADE). ADE is associated with phenotypic variability and may contribute to complex genetic diseases. Here, we present a computational analysis of ADE using allele-specific serial analysis of gene expression (SAGE) tags representing 1295 human genes. We identified 472 genes for which unequal representation (>3-fold) of allele-specific SAGE tags was observed in at least one SAGE library, suggesting the occurrence of ADE. For 235 out of these 472 genes, the difference in the expression level between both allele-specific SAGE tags was statistically significant (p < 0.05). Eleven candidate genes were then subjected to experimental validation and ADE was confirmed for 8 out of these 11 genes. Our results suggest that at least 25% of the human genes display ADE and that allele-specific SAGE tags can be efficiently used for the identification of such genes.  相似文献   

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