Medical Research Council Molecular Hematology Unit, Weatherall Institute of Molecular Medicine, Oxford, UK.
Blood. 2011 Mar 31;117(13):e96-108. doi: 10.1182/blood-2010-07-290825. Epub 2011 Jan 26.
Understanding the pattern of gene expression during erythropoiesis is crucial for a synthesis of erythroid developmental biology. Here, we isolated 4 distinct populations at successive erythropoietin-dependent stages of erythropoiesis, including the terminal, pyknotic stage. The transcriptome was determined using Affymetrix arrays. First, we demonstrated the importance of using defined cell populations to identify lineage and temporally specific patterns of gene expression. Cells sorted by surface expression profile not only express significantly fewer genes than unsorted cells but also demonstrate significantly greater differences in the expression levels of particular genes between stages than unsorted cells. Second, using standard software, we identified more than 1000 transcripts not previously observed to be differentially expressed during erythroid maturation, 13 of which are highly significantly terminally regulated, including RFXAP and SMARCA4. Third, using matched filtering, we identified 12 transcripts not previously reported to be continuously up-regulated in maturing human primary erythroblasts. Finally, using transcription factor binding site analysis, we identified potential transcription factors that may regulate gene expression during terminal erythropoiesis. Our stringent lists of differentially regulated and continuously expressed transcripts containing many genes with undiscovered functions in erythroblasts are a resource for future functional studies of erythropoiesis. Our Human Erythroid Maturation database is available at https://cellline.molbiol.ox.ac.uk/eryth/index.html. [corrected].
理解红细胞生成过程中的基因表达模式对于红细胞发育生物学的综合研究至关重要。在这里,我们在红细胞生成过程中连续的、依赖促红细胞生成素的阶段中分离出 4 个不同的群体,包括终末、固缩阶段。使用 Affymetrix 阵列确定了转录组。首先,我们证明了使用定义明确的细胞群体来识别谱系和随时间特异性基因表达模式的重要性。通过表面表达谱分选的细胞不仅表达的基因明显少于未分选的细胞,而且在不同阶段之间特定基因的表达水平差异也明显大于未分选的细胞。其次,使用标准软件,我们鉴定出了 1000 多个以前在红细胞成熟过程中未观察到差异表达的转录本,其中 13 个转录本受到高度显著的终末调控,包括 RFXAP 和 SMARCA4。第三,使用匹配过滤,我们鉴定出 12 个以前未报道在成熟的人原代红细胞中持续上调的转录本。最后,通过转录因子结合位点分析,我们鉴定出了可能在终末红细胞生成过程中调节基因表达的潜在转录因子。我们严格筛选的差异调节和连续表达的转录本列表包含许多在红细胞中具有未知功能的基因,这是未来红细胞生成功能研究的资源。我们的人类红细胞成熟数据库可在 https://cellline.molbiol.ox.ac.uk/eryth/index.html 上获取。[已更正]。