High-resolution transcriptome of human macrophages.

High-resolution transcriptome of human macrophages.
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人类巨噬细胞的高分辨率转录组。

DOI:
10.1371/journal.pone.0045466
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发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Schultze JL
Schultze JL
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Beyer M;Mallmann MR;Xue J;Staratschek-Jox A;Vorholt D;Krebs W;Sommer D;Sander J;Mertens C;Nino-Castro A;Schmidt SV;Schultze JL

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巨噬细胞是整合来自其微环境的信号以产生特定功能反应的动态细胞。尽管基于微阵列的转录谱分析已经将转录重编程确立为巨噬细胞的信号整合和细胞功能的重要机制,但是目前关于人巨噬细胞的转录调控的知识还远未完成。为了发现新的标记基因,特别是在人类巨噬细胞生物学中非常需要的领域,而且为了产生人类M1和M1样巨噬细胞的更彻底的转录组,我们对人类巨噬细胞进行了RNA测序(RNA-seq)。使用这种方法,我们现在可以在经典(M1样)和替代(M2样)极化条件下提供人类巨噬细胞的高分辨率转录组谱,并展示超过先前技术获得的观察结果的动态范围,从而更全面地了解人类巨噬细胞的转录组。使用这种方法,我们确定了重要的基因簇,至今没有赞赏的标准微阵列技术。此外,我们能够检测到差异启动子的使用,替代转录起始位点,和不同的编码序列的57个基因位点在人类巨噬细胞。此外,该方法导致鉴定新的M1相关(CD 120 b、TLR 2、SLAMF 7)以及M2相关(CD 1a、CD 1b、CD 93、CD 226)细胞表面标志物。总之,这些数据支持通过RNA-seq对人类巨噬细胞进行高分辨率转录组分析,从而更好地了解巨噬细胞的功能,并将为更好地表征人类健康和疾病中的巨噬细胞奠定基础。
Macrophages are dynamic cells integrating signals from their microenvironment to develop specific functional responses. Although, microarray-based transcriptional profiling has established transcriptional reprogramming as an important mechanism for signal integration and cell function of macrophages, current knowledge on transcriptional regulation of human macrophages is far from complete. To discover novel marker genes, an area of great need particularly in human macrophage biology but also to generate a much more thorough transcriptome of human M1- and M1-like macrophages, we performed RNA sequencing (RNA-seq) of human macrophages. Using this approach we can now provide a high-resolution transcriptome profile of human macrophages under classical (M1-like) and alternative (M2-like) polarization conditions and demonstrate a dynamic range exceeding observations obtained by previous technologies, resulting in a more comprehensive understanding of the transcriptome of human macrophages. Using this approach, we identify important gene clusters so far not appreciated by standard microarray techniques. In addition, we were able to detect differential promoter usage, alternative transcription start sites, and different coding sequences for 57 gene loci in human macrophages. Moreover, this approach led to the identification of novel M1-associated (CD120b, TLR2, SLAMF7) as well as M2-associated (CD1a, CD1b, CD93, CD226) cell surface markers. Taken together, these data support that high-resolution transcriptome profiling of human macrophages by RNA-seq leads to a better understanding of macrophage function and will form the basis for a better characterization of macrophages in human health and disease.
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发表时间: 2004
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影响因子: 12.3
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发表时间: 2012-06-01
影响因子: 4.4
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